Advances in Neural Information Processing Systems 38

NeurIPS 2025

Edited by D. Belgrave and C. Zhang and H. Lin and L. Montoya and R. Pascanu and P. Koniusz and M. Ghassemi and N. Chen

5823 papers

NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models Jarren Zhuoran Qiao, Feizhi Ding, Thomas Dresselhaus, Mia Rosenfeld, Xiaotian Han, Owen Howell, Aniketh Iyengar, Stephen Opalenski, Anders Christensen, Sai Krishna Sirumalla, Fred Manby, Thomas K. Miller, Matthew Welborn
Main Conference Track
The Primacy of Magnitude in Low-Rank Adaptation Zicheng Zhang, Haoran Li, Yifeng Zhang, Guoqiang Gong, Jiaxing Wang, Junxing Hu, Pengzhang Liu, Qixia Jiang
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EngiBench: A Framework for Data-Driven Engineering Design Research Error
Datasets and Benchmarks Track
COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Yining Shi, Kun Jiang, Qiang Meng, Ke Wang, JiaBao Wang, Wenchao Sun, Tuopu Wen, mengmeng yang, diange yang
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Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models Jaesin Ahn, Heechul Jung
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Stochastic Forward-Forward Learning through Representational Dimensionality Compression Zhichao Zhu, YANG QI, Hengyuan Ma, Wenlian Lu, Jianfeng Feng
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Diffusion Feature Field for Text-based 3D Editing with Gaussian Splatting Eunseo Koh, Sangeek Hyun, MinKyu Lee, Jiwoo Chung, Kangmin Seo, Jae-Pil Heo
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Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs Xudong Li, Mengdan Zhang, Peixian Chen, Xiawu Zheng, Yan Zhang, Jingyuan Zheng, Yunhang Shen, Ke Li, Chaoyou Fu, Xing Sun, Rongrong Ji
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Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design Nianzu Yang, Songlin Jiang, Jian Ma, Huaijin Wu, Shuangjia Zheng, Wengong Jin, Junchi Yan
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Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving Xinyu Wang, Jonas Kübler, Kailash Budhathoki, Yida Wang, Matthäus Kleindessner
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Vulnerable Data-Aware Adversarial Training Yuqi Feng, Jiahao Fan, Yanan Sun
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Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers Kazuki Irie, Morris Yau, Samuel J Gershman
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SALS: Sparse Attention in Latent Space for KV Cache Compression Junlin Mu, Hantao Huang, Jihang Zhang, Minghui Yu, Tao Wang, Yidong Li
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Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance Ruihang Chu, Yefei He, Zhekai Chen, Shiwei Zhang, Xiaogang Xu, bin xia, Dingdong WANG, Hongwei Yi, Xihui Liu, Hengshuang Zhao, Yu Liu, Yingya Zhang, Yujiu Yang
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Can Diffusion Models Disentangle? A Theoretical Perspective Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong, Yuan Gong, Jiaqi Zhang, Brian Tracey, Katerina Placek, Marco Vilela, Jim Glass
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Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Shuaiqi Wang, Vikas Raunak, Arturs Backurs, Victor Reis, Pei Zhou, Sihao Chen, Longqi Yang, Zinan Lin, Sergey Yekhanin, Giulia Fanti
Datasets and Benchmarks Track
DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing Zixiang Li, Haoyu Wang, Wei Wang, Chuangchuang Tan, Yunchao Wei, Yao Zhao
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Post Hoc Regression Refinement via Pairwise Rankings Kevin Tirta Wijaya, Michael Sun, Minghao Guo, Hans-peter Seidel, Wojciech Matusik, Vahid Babaei
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FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction Jiang Lin, Xinyu Chen, Song Wu, Zhiqiu Zhang, Jizhi Zhang, Ye Wang, Qiang Tang, Qian Wang, Jian Yang, Zili Yi
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UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection Yang Zhao, Kai Xiong, Xiao Ding, Li Du, Yangou Ouyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu
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OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation Mohamed Abdelfattah, Kaouther Messaoud, Alexandre Alahi
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LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space Zhangyu Wang, Zeping Liu, Jielu Zhang, Zhongliang Zhou, Qian Cao, Nemin Wu, Lan Mu, Yang Song, Yiqun Xie, Ni Lao, Gengchen Mai
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Robust and Computation-Aware Gaussian Processes Marshal Sinaga, Julien Martinelli, Samuel Kaski
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Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models Hyeonggeun Han, Sehwan Kim, Hyungjun Joo, Sangwoo Hong, Jungwoo Lee
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RoFt-Mol: Benchmarking Robust Fine-tuning with Molecular Graph Foundation Models Shikun Liu, Deyu Zou, Nima Shoghi, Victor Fung, Kai Liu, Pan Li
Datasets and Benchmarks Track
CAT: Content-Adaptive Image Tokenization Junhong Shen, Kushal Tirumala, Michihiro Yasunaga, Ishan Misra, Luke Zettlemoyer, LILI YU, Chunting Zhou
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Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2 Joel Valdivia Ortega, Lorenz Lamm, Franziska Eckardt, Benedikt Schworm, Marion Jasnin, Tingying Peng
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CogPhys: Assessing Cognitive Load via Multimodal Remote and Contact-based Physiological Sensing Error
Datasets and Benchmarks Track
3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion Junyi Wang, Yuze Wang, Wantong Duan, Meng Wang, Yue Qi
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An Ellipsoid Algorithm for Online Convex Optimization Zakaria Mhammedi
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Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control Danfeng Li, Hui Zhang, Sheng Wang, Jiacheng Li, Zuxuan Wu
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Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models Jiachen Jiang, Jinxin Zhou, Bo Peng, Xia Ning, Zhihui Zhu
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Anytime-valid, Bayes-assisted, Prediction-Powered Inference Valentin Kilian, Stefano Cortinovis, Francois Caron
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Hawaii: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models Yimu Wang, Mozhgan Nasr Azadani, Sean Sedwards, Krzysztof Czarnecki
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DERD-Net: Learning Depth from Event-based Ray Densities Diego de Oliveira Hitzges, Suman Ghosh, Guillermo Gallego
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The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements Youssef Chaabouni, David Gamarnik
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Register and [CLS] tokens induce a decoupling of local and global features in large ViTs Alexander Lappe, Martin A. Giese
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ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding Haonan Wang, Jingyu Lu, Hongrui Li, Xiaomeng Li
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GPO: Learning from Critical Steps to Improve LLM Reasoning Jiahao Yu, Zelei Cheng, Xian Wu, Xinyu Xing
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Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity Lutz Oettershagen, Othon Michail
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Metritocracy: Representative Metrics for Lite Benchmarks Ariel D Procaccia, Ben Schiffer, Serena Wang, Shirley Zhang
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GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, HUIPING ZHUANG, Xingcheng Fu, Jianxin Li
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scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery Yiming Gao, Zhen Wang, Jefferson Chen, Mark Antkowiak, Mengzhou Hu, JungHo Kong, Dexter Pratt, Jieyuan Liu, Enze Ma, Zhiting Hu, Eric P Xing
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PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models Shi Qiu, Shaoyang Guo, Zhuo-Yang Song, Yunbo Sun, Zeyu Cai, Jiashen Wei, Tianyu Luo, Yixuan Yin, Zhang Haoxu, Yi Hu, Chenyang Wang, Chencheng Tang, Haoling Chang, Qi Liu, Ziheng Zhou, Tianyu Zhang, Jingtian Zhang, Zhangyi Liu, Minghao Li, Yuku Zhang, Boxuan Jing, Xianqi Yin, Yutong Ren, Zizhuo Fu, Jiaming Ji, Weike Wang, Xudong Tian, Anqi Lv, Laifu Man, Jianxiang Li, Feiyu Tao, Qihua Sun, Zhou Liang, Yushu Mu, Zhongxuan Li, Jing-Jun Zhang, Shutao Zhang, Xiaotian Li, Xingqi Xia, Jiawei Lin, Zheyu Shen, Jiahang Chen, Qiuhao Xiong, Binran Wang, Fengyuan Wang, Niziyang, Bohan Zhang, Fan Cui, shaochangkun, Qing-Hong Cao, Ming-xing Luo, Muhan Zhang, Hua Xing Zhu
Datasets and Benchmarks Track
Enhancing 3D Reconstruction for Dynamic Scenes Jisang Han, Honggyu An, Jaewoo Jung, Takuya Narihira, Junyoung Seo, Kazumi Fukuda, Chaehyun Kim, Sunghwan Hong, Yuki Mitsufuji, Seungryong Kim
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Flick: Empowering Federated Learning with Commonsense Knowledge Ran Zhu, Mingkun Yang, Shiqiang Wang, Jie Yang, Qing Wang
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Adaptively Coordinating with Novel Partners via Learned Latent Strategies Benjamin Li, Shuyang Shi, Lucia Romero, Huao Li, Yaqi Xie, Woojun Kim, Stefanos Nikolaidis, Charles Lewis, Katia Sycara, Simon Stepputtis
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Learning from Delayed Feedback in Games via Extra Prediction Yuma Fujimoto, Kenshi Abe, Kaito Ariu
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CrypticBio: A Large Multimodal Dataset for Visually Confusing Species Error
Datasets and Benchmarks Track
CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing Error
Datasets and Benchmarks Track
WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction shengchuan gao, Shuo Wang, Yabiao Wang, Ran Yi
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Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification Matan Schliserman, Tomer Koren
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FracFace: Breaking the Visual Clues—Fractal-Based Privacy-Preserving Face Recognition Wanying Dai, Beibei Li, Naipeng Dong, Guangdong Bai, Jin Song Dong
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RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models Zukang Xu, Xing Hu, Qiang Wu, Dawei Yang
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A Few Moments Please: Scalable Graphon Learning via Moment Matching Reza Ramezanpour, Victor Manuel Tenorio Gomez, Antonio G. Marques, Ashutosh Sabharwal, Santiago Segarra
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Alias-Free ViT: Fractional Shift Invariance via Linear Attention Hagay Michaeli, Daniel Soudry
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Conformal Prediction for Causal Effects of Continuous Treatments Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel
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Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu
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NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes Nathaniel S. Keplinger, Baiting Luo, Yunuo Zhang, Kyle H Wray, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay
Datasets and Benchmarks Track
Data-Dependent Regret Bounds for Constrained MABs Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
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Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier
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EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions Xiaorui Wu, Fei Li, Xiaofeng Mao, Xin Zhang, Li Zheng, Yuxiang Peng, Chong Teng, Donghong Ji, Zhuang Li
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DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations Diya Zhang, Mengwei Sun, Xingdan Wang, Cheng Liang, Qiaozhen Meng, Shiqiang Ma, Fei Guo
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Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning Chao-Chung Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung (Vivian) Chen, Shao-Hua Sun, Hung-yi Lee
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DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm Xiaowei Zhu, Yubing Ren, Fang Fang, Qingfeng Tan, Shi Wang, Yanan Cao
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LVLM-Driven Attribute-Aware Modeling for Visible-Infrared Person Re-Identification Zhiqi Pang, Lingling Zhao, Junjie Wang, Chunyu Wang
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QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models Yutong Wang, Haiyu Wang, Sai Qian Zhang
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Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu
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Let LRMs Break Free from Overthinking via Self-Braking Tuning Haoran Zhao, Yuchen Yan, Yongliang Shen, Haolei Xu, Wenqi Zhang, Kaitao Song, Jian Shao, Weiming Lu, Jun Xiao, Yueting Zhuang
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Spectral Estimation with Free Decompression Siavash Ameli, Chris van der Heide, Liam Hodgkinson, Michael W. Mahoney
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An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models Bo Peng, Jie Lu, Guangquan Zhang, Zhen Fang
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DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches Yun Xing, Yue Cao, Nhat Chung, Jie M. Zhang, Ivor Tsang, Ming-Ming Cheng, Yang Liu, Lei Ma, Qing Guo
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Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Zhanfu Yang, Cuixi Li, Yang Liu, Liang Lin
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PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling Minju Jo, Woojin Cho, Uvini Balasuriya Mudiyanselage, Seungjun Lee, Noseong Park, Kookjin Lee
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Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback Ofir Schlisselberg, Tal Lancewicki, Peter Auer, Yishay Mansour
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EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis Error
Datasets and Benchmarks Track
Spectral Analysis of Diffusion Models with Application to Schedule Design Roi Benita, Miki Elad, Joseph Keshet
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Online Two-Stage Submodular Maximization Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis, Evimaria Terzi
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Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation Tianqi Qiao, Marie Maros
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Variational Uncertainty Decomposition for In-Context Learning I. Shavindra Jayasekera, Jacob Si, Filippo Valdettaro, Wenlong Chen, Aldo A Faisal, Yingzhen Li
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Understanding the Gain from Data Filtering in Multimodal Contrastive Learning Divyansh Pareek, Sewoong Oh, Simon S Du
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Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning Zhe Hu, Jing Li, Zhongzhu Pu, Hou Pong (Ken) Chan, Yu Yin
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Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models Liang Peng, Boxi Wu, Haoran Cheng, Yibo Zhao, Xiaofei He
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Future Link Prediction Without Memory or Aggregation Lu Yi, Runlin Lei, Fengran Mo, Yanping Zheng, Zhewei Wei, Yuhang Ye
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Scaling Offline RL via Efficient and Expressive Shortcut Models Nicolas Espinosa-Dice, Yiyi Zhang, Yiding Chen, Bradley Guo, Owen Oertell, Gokul Swamy, Kianté Brantley, Wen Sun
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Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration Jingjun Yi, Qi Bi, Hao Zheng, Huimin Huang, Yixian Shen, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng
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TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval Jialin Chen, Ziyu Zhao, Gaukhar Nurbek, Aosong Feng, Ali Maatouk, Leandros Tassiulas, Yifeng Gao, Rex Ying
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FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models shengming yuan, Xinyu Lyu, Shuailong Wang, Beitao Chen, Jingkuan Song, Lianli Gao
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Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings Yehya Farhat, Hamza ElMokhtar Shili, Fangshuo Liao, Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Robert Sim, Dimitrios Dimitriadis, Anastasios Kyrillidis
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What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers Yi Wang, Jiaze Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
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Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation Guowei Wang, Fan Lyu, Changxing Ding
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InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning Haotian Chi, Zeyu Feng, Yueming LYU, Chengqi Zheng, Linbo Luo, Yew Soon Ong, Ivor Tsang, Hechang Chen, Yi Chang, Haiyan Yin
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Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning Wei Huang, Jianshu Zhang, Leiyu Wang, Heyue Li, Luoyi Fan, Yichen Zhu, Nanyang Ye, Qinying Gu
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Predicting Empirical AI Research Outcomes with Language Models Jiaxin Wen, Chenglei Si, Yueh-Han Chen, He He, Shi Feng
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Diffusion Federated Dataset SEOKJU HAHN, Junghye Lee
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From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks Awa Khouna, Julien Ferry, Thibaut Vidal
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Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness Yanyu Ren, Li Chen, Dan Li, Xizheng Wang, Zhiyuan Wu, Yukai Miao, Yu Bai
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Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens Xixian Yong, Xiao Zhou, Yingying Zhang, Jinlin Li, Yefeng Zheng, Xian Wu
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ESCA: Contextualizing Embodied Agents via Scene-Graph Generation Jiani Huang, Amish Sethi, Matthew Kuo, Mayank Keoliya, Neelay Velingker, JungHo Jung, Ser Nam Lim, Ziyang Li, Mayur Naik
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Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration Yunghee Lee, Byeonghyun Pak, Junwha Hong, Hoseong Kim
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MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering Qiwen Gu, Xufei Wang, Junqiao Zhao, Siyue Tao, Tiantian Feng, Ziqiao Wang, Guang Chen
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NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation Xiangyan Liu, Jinjie Ni, Zijian Wu, Chao Du, Longxu Dou, Haonan Wang, Tianyu Pang, Michael Qizhe Shieh
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Online Prediction with Limited Selectivity Licheng Liu, Mingda Qiao
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Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval Jian Xiao, Zijie Song, Jialong Hu, Hao Cheng, Zhenzhen Hu, Jia Li, Richang Hong
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Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow Hanlin Wu, Yuxuan Song, Zhe Zhang, Zhilong Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu
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Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery Zekun Wang, Ethan Haarer, Tianyi Zhu, Zhiyi Dai, Christopher MacLellan
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Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems Saeed Amizadeh, Sara Abdali, Yinheng Li, Kazuhito Koishida
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D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images shurong yang, Dong Wei, Yihuang Hu, Qiong Peng, Hong Liu, Yawen Huang, Xian Wu, Yefeng Zheng, Liansheng Wang
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A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows Guansheng Peng, Lining Xing, Fuyan Ma, Aldy Gunawan, Guopeng Song, Pieter Vansteenwegen
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EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Error
Datasets and Benchmarks Track
Rethinking Nighttime Image Deraining via Learnable Color Space Transformation Qiyuan Guan, Xiang Chen, Guiyue Jin, Jiyu Jin, Shumin Fan, Tianyu Song, Jinshan Pan
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Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation Abdelrahman Eldesokey, Aleksandar Cvejić, Bernard Ghanem, Peter Wonka
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Optimal Estimation of the Best Mean in Multi-Armed Bandits Takayuki Osogami, Junya Honda, Junpei Komiyama
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Frame In-N-Out: Unbounded Controllable Image-to-Video Generation Boyang Wang, Xuweiyi Chen, Matheus Gadelha, Zezhou Cheng
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VFRTok: Variable Frame Rates Video Tokenizer with Duration-Proportional Information Assumption Tianxiong Zhong, Xingye Tian, Boyuan Jiang, Xuebo Wang, Xin Tao, Pengfei Wan, Zhiwei Zhang
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Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs Yifan Wei, Xiaoyan Yu, Tengfei Pan, Angsheng Li, Li Du
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OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations Error
Datasets and Benchmarks Track
UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset Chen Zhao, En Ci, Yunzhe Xu, Tiehan Fan, Shanyan Guan, Yanhao Ge, Jian Yang, Ying Tai
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Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers? Yihao Li, Saeed Salehi, Lyle H. Ungar, Konrad Kording
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Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer Xuelin Shen, Quan Liu, Jiayin Xu, Wenhan Yang
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MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention Can Yaras, Alec Xu, Pierre Abillama, Changwoo Lee, Laura Balzano
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AnimateQR: Bridging Aesthetics and Functionality in Dynamic QR Code Generation Guangyang Wu, Huayu Zheng, Siqi Luo, Guangtao Zhai, Xiaohong Liu
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Evaluating Program Semantics Reasoning with Type Inference in System $F$ Yifeng He, Luning Yang, Christopher Gonzalo, Hao Chen
Datasets and Benchmarks Track
CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices XUCHEN FENG, Siyu Liao
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Cost-aware LLM-based Online Dataset Annotation Eray Can Elumar, Cem Tekin, Osman Yagan
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SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking Shubo Lin, Yutong Kou, Zirui Wu, Shaoru Wang, Bing Li, Weiming Hu, Jin Gao
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RNNs perform task computations by dynamically warping neural representations Arthur Pellegrino, Angus Chadwick
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Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles Jiangjie Chen, Qianyu He, Siyu Yuan, Aili Chen, Zhicheng Cai, Weinan Dai, Hongli Yu, Jiaze Chen, Xuefeng Li, Qiying Yu, Hao Zhou, Mingxuan Wang
Main Conference Track
How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model HEE BIN YOO, Sungyoon Lee, Cheongjae Jang, Dong-Sig Han, Jaein Kim, Seunghyeon Lim, Byoung-Tak Zhang
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CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations Guangyi Chen, Yunlong Deng, Peiyuan Zhu, Yan Li, Yifan Shen, Zijian Li, Kun Zhang
Datasets and Benchmarks Track
Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness Yuheng Zhao, Yu-Hu Yan, Kfir Y. Levy, Peng Zhao
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Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMs Error
Datasets and Benchmarks Track
Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles Kushagra Gupta, Surya Murthy, Mustafa Karabag, Ufuk Topcu, David Fridovich-Keil
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PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling Andrea Bonfanti, Ismael Medina, Roman List, Björn Staeves, Roberto Santana, Marco Ellero
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Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives Sarah Cen, Salil Goyal, Zaynah Javed, Ananya Karthik, Percy Liang, Daniel Ho
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PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments Weijie Zhou, Xuantang Xiong, Yi Peng, Manli Tao, Chaoyang Zhao, Honghui Dong, Ming Tang, Jinqiao Wang
Main Conference Track
Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation Yuyang Wanyan, Xi Zhang, Haiyang Xu, Haowei Liu, Junyang Wang, Jiabo Ye, Yutong Kou, Ming Yan, Fei Huang, Xiaoshan Yang, Weiming Dong, Changsheng Xu
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SAD Neural Networks: Divergent Gradient Flows and Asymptotic Optimality via o-minimal Structures Julian Kranz, Davide Gallon, Steffen Dereich, Arnulf Jentzen
Main Conference Track
MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering Rushi Qiang, Yuchen Zhuang, Yinghao Li, Dingu Sagar V K, Rongzhi Zhang, ChangHao Li, Ian Wong, Sherry Yang, Percy Liang, Chao Zhang, Bo Dai
Datasets and Benchmarks Track
Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models Dhruva Karkada, James Simon, Yasaman Bahri, Michael R. Deweese
Main Conference Track
BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model Ziquan Wei, Tingting Dan, Tianlong Chen, Guorong Wu
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Spectral Compressive Imaging via Chromaticity-Intensity Decomposition Xiaodong Wang, Zijun He, Ping Wang, Lishun Wang, Yanan Hu, Xin Yuan
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Kuramoto Orientation Diffusion Models Yue Song, Andy Keller, Sevan Brodjian, Takeru Miyato, Yisong Yue, Pietro Perona, Max Welling
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VIKING: Deep variational inference with stochastic projections Samuel Matthiesen, Hrittik Roy, Nicholas Krämer, Yevgen Zainchkovskyy, Stas Syrota, Alejandro Valverde Mahou, Carl Henrik Ek, Søren Hauberg
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DevFD : Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces Tianshuo Zhang, Li Gao, Siran Peng, Xiangyu Zhu, Zhen Lei
Main Conference Track
RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing Fengxiang Wang, Yulin Wang, Mingshuo Chen, Haotian Wang, Hongzhen Wang, Haiyan Zhao, Yangang Sun, Shuo Wang, Di Wang, Long Lan, Wenjing Yang, Jing Zhang
Main Conference Track
TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses Sahar Dastani, Ali Bahri, Gustavo Vargas Hakim, Moslem Yazdanpanah, Mehrdad Noori, David OSOWIECHI, Samuel Barbeau, Ismail Ayed, Herve Lombaert, Christian Desrosiers
Main Conference Track
Jacobian-Based Interpretation of Nonlinear Neural Encoding Model Xiaohui Gao, Haoran Yang, cheng yue, Mengfei Zuo, Yiheng Liu, Peiyang Li
Main Conference Track
SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision Yiyang Gu, Bohan Wu, Qinghua Ran, Rong-Cheng Tu, Xiao Luo, Zhiping Xiao, Wei Ju, Dacheng Tao, Ming Zhang
Main Conference Track
DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation Kefei Zhu, Fengshuo Bai, YuanHao Xiang, Yishuai Cai, Xinglin Chen, Ruochong Li, Xingtao Wang, Hao Dong, Yaodong Yang, Xiaopeng Fan, Yuanpei Chen
Main Conference Track
BioCG: Constrained Generative Modeling for Biochemical Interaction Prediction Amitay Sicherman, Kira Radinsky
Main Conference Track
EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval Zebin Yang, Sunjian Zheng, Tong Xie, Tianshi Xu, Bo Yu, Fan Wang, Jie Tang, Shaoshan Liu, Meng Li
Main Conference Track
Demystifying Language Model Forgetting with Low-rank Example Associations Xisen Jin, Xiang Ren
Main Conference Track
AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web Error
Datasets and Benchmarks Track
VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning Qi (Cheems) Wang, Yanrui Yu, Ye Yuan, Rui Mao, Tianfei Zhou
Main Conference Track
Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks Daniel Kunin, Giovanni Luca Marchetti, Feng Chen, Dhruva Karkada, James Simon, Michael R. Deweese, Surya Ganguli, Nina Miolane
Main Conference Track
FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization Tianle Li, Yongzhi Huang, Linshan Jiang, Chang Liu, Qipeng Xie, Wenfeng Du, Lu Wang, Kaishun Wu
Main Conference Track
Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning Yana Wei, Liang Zhao, Jianjian Sun, Kangheng Lin, jisheng yin, Jingcheng Hu, Yinmin Zhang, En Yu, Haoran Lv, Zejia Weng, Jia Wang, Qi Han, Zheng Ge, Xiangyu Zhang, Daxin Jiang, Vishal M. Patel
Main Conference Track
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions Wenyuan Zhao, Adithya Balachandran, Chao Tian, Paul Liang
Main Conference Track
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery Shiji Zhou, Tianbai Yu, Zhi Zhang, Heng Chang, Xiao Zhou, Dong Wu, Han Zhao
Main Conference Track
When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions Moritz Willig, Tim Woydt, Devendra Singh Dhami, Kristian Kersting
Main Conference Track
Generative Caching for Structurally Similar Prompts and Responses Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
Main Conference Track
Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking Hyunseop Kim, Juheon Jeong, Hanul Kim, Yeong Jun Koh
Main Conference Track
Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains Wenhui Tan, Jiaze Li, Jianzhong Ju, Zhenbo Luo, Ruihua Song, Jian Luan
Main Conference Track
StreamFlow: Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching Ha-Yeong Choi, Sang-Hoon Lee
Main Conference Track
Zero-Shot Performance Prediction for Probabilistic Scaling Laws Viktoria Schram, Markus Hiller, Daniel Beck, Trevor Cohn
Main Conference Track
Overcoming Challenges of Long-Horizon Prediction in Driving World Models Arian Mousakhan, Sudhanshu Mittal, Silvio Galesso, Karim Farid, Thomas Brox
Main Conference Track
The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense Yangyang Guo, Fangkai Jiao, Liqiang Nie, Mohan Kankanhalli
Main Conference Track
Incentivizing LLMs to Self-Verify Their Answers Fuxiang Zhang, Jiacheng Xu, Chaojie Wang, Ce Cui, Yang Liu, Bo An
Main Conference Track
Intend to Move: A Multimodal Dataset for Intention-Aware Human Motion Understanding Error
Datasets and Benchmarks Track
Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers Ziyi Fang, Lingxiao Huang, Runkai Yang
Main Conference Track
DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads Error
Datasets and Benchmarks Track
Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity Guangze Zheng, Shijie Lin, Haobo Zuo, Si Si, Ming-Shan Wang, Changhong Fu, Jia Pan
Main Conference Track
DMWM: Dual-Mind World Model with Long-Term Imagination Lingyi Wang, Rashed Shelim, Walid Saad, Naren Ramakrishnan
Main Conference Track
Multivariate Latent Recalibration for Conditional Normalizing Flows Victor Dheur, Souhaib Ben Taieb
Main Conference Track
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals Markus Gross, Aya Fahmy, Danit Niwattananan, Dominik Muhle, Rui Song, Daniel Cremers, Henri Meeß
Main Conference Track
Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation hanzhuo tan, Xiaolong Tian, Hanrui Qi, Jiaming Liu, Siyi Wang, GAO Zuchen, Qi Luo, Jing Li, Yuqun Zhang
Datasets and Benchmarks Track
LuxDiT: Lighting Estimation with Video Diffusion Transformer Ruofan Liang, Kai He, Zan Gojcic, Igor Gilitschenski, Sanja Fidler, Nandita Vijaykumar, Zian Wang
Main Conference Track
A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation Hao-Ran Yang, Xiaohui Chen, Chuan-Xian Ren
Main Conference Track
Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection Yuyang Yu, Zhengwei Chen, Xuemiao Xu, Lei Zhang, Haoxin Yang, Yongwei Nie, Shengfeng He
Main Conference Track
MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation Ziru Wang, Mengmeng Wang, Guang Dai, Yongliu Long, Jingdong Wang
Main Conference Track
Flash Invariant Point Attention Andrew Liu, Axel Elaldi, Nicholas Franklin, Nathan Russell, Gurinder S. Atwal, Yih-En Ban, Olivia Viessmann
Main Conference Track
Subsampled Ensemble Can Improve Generalization Tail Exponentially Huajie Qian, Donghao Ying, Henry Lam, Wotao Yin
Main Conference Track
STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning Yao Luan, Ni Mu, Yiqin Yang, Bo Xu, Qing-Shan Jia
Main Conference Track
TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition Zhe Zhao, Zhiheng Gong, Pengkun Wang, HaiBin Wen, Cankun Guo, Bo Xue, Xi Lin, Zhenkun Wang, Qingfu Zhang, Yang Wang
Main Conference Track
IRRISIGHT: A Large-Scale Multimodal Dataset and Scalable Pipeline to Address Irrigation and Water Management in Agriculture Error
Datasets and Benchmarks Track
A solvable model of learning generative diffusion: theory and insights Hugo Cui, Cengiz Pehlevan, Yue Lu
Main Conference Track
An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations Seonghwan Park, Jueun Mun, Donghyun Oh, Namhoon Lee
Main Conference Track
Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization Ming Nie, Chunwei Wang, Jianhua Han, Hang Xu, Li Zhang
Main Conference Track
TF-MAS: Training-free Mamba2 Architecture Search Yi Fan, Yu-Bin Yang
Main Conference Track
WISA: World simulator assistant for physics-aware text-to-video generation Jing Wang, Ao Ma, Ke Cao, Jun Zheng, Jiasong Feng, Zhanjie Zhang, Wanyuan Pang, Xiaodan Liang
Main Conference Track
Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers florence regol, Joseph Cotnareanu, Theodore Glavas, Mark Coates
Main Conference Track
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation Enshu Liu, Qian Chen, Xuefei Ning, Shengen Yan, Guohao Dai, Zinan Lin, Yu Wang
Main Conference Track
Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs Jun Wang, Liang Ding, Shuai Wang, Hongyu Li, Yong Luo, Huangxuan Zhao, Han Hu, Bo Du
Main Conference Track
Hybrid Latent Reasoning via Reinforcement Learning Zhenrui Yue, Bowen Jin, Huimin Zeng, Honglei Zhuang, Zhen Qin, Jinsung Yoon, Lanyu Shang, Jiawei Han, Dong Wang
Main Conference Track
Efficient Large Language Model Inference with Neural Block Linearization Mete Erdogan, Francesco Tonin, Volkan Cevher
Main Conference Track
List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression Joseph Rowan, Truong Buu Phan, Ashish Khisti
Main Conference Track
GauDP: Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies Ziye Wang, Li Kang, Yiran Qin, Jiahua Ma, zhanglin peng, LEI BAI, Ruimao Zhang
Main Conference Track
SHGR: A Generalized Maximal Correlation Coefficient Samuel Stocksieker, Denys Pommeret
Main Conference Track
COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning Error
Datasets and Benchmarks Track
3D Equivariant Visuomotor Policy Learning via Spherical Projection Boce Hu, Dian Wang, David Klee, Heng Tian, Xupeng Zhu, Haojie Huang, Robert Platt, Robin Walters
Main Conference Track
Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges Shuwen Wei, Samuel Remedios, Blake Dewey, Zhangxing Bian, Shimeng Wang, Junyu Chen, Bruno Jedynak, shiv saidha, Peter Calabresi, Aaron Carass, Jerry L Prince
Main Conference Track
Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance meng wang, Fan Wu, Ruihui Li, Qin Yunchuan, Zhuo Tang, Li Ken Li
Main Conference Track
Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models Huajie Tan, Yuheng Ji, Xiaoshuai Hao, Xiansheng Chen, Pengwei Wang, Zhongyuan Wang, Shanghang Zhang
Main Conference Track
Co-Reinforcement Learning for Unified Multimodal Understanding and Generation Jingjing Jiang, Chongjie Si, Jun Luo, Hanwang Zhang, Chao Ma
Main Conference Track
Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data Léo Dana, Loucas Pillaud-Vivien, Francis Bach
Main Conference Track
Path Gradients after Flow Matching Lorenz Vaitl, Leon Klein
Main Conference Track
On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study Riccardo Alberghi, Elizaveta Demyanenko, Luca Biggio, Luca Saglietti
Main Conference Track
Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning Tianle Zhang, Wanlong Fang, Jonathan Woo, Paridhi Latawa, Deepak Subramanian, Alvin Chan
Main Conference Track
KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments Junyoung Park, Dalton Jones, Matthew Morse, Raghavv Goel, Mingu Lee, Christopher Lott
Main Conference Track
On Optimal Steering to Achieve Exact Fairness mohit sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah
Main Conference Track
Transductive Conformal Inference for Full Ranking Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard
Main Conference Track
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding Xue zhucun, Jiangning Zhang, Xie Xurong, Yuxuan Cai, Yong Liu, Xiangtai Li, Dacheng Tao
Main Conference Track
Association-Focused Path Aggregation for Graph Fraud Detection Tian Qiu, Wenda Li, Zunlei Feng, Jie Lei, Tao Wang, Yi Gao, Mingli Song, Yang Gao
Main Conference Track
Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection Junxi Chen, Liang Li, Yunbin Tu, Li Su, Zhe Xue, Qingming Huang
Main Conference Track
AutoEdit: Automatic Hyperparameter Tuning for Image Editing Chau Pham, Quan Dao, Mahesh Bhosale, Yunjie Tian, Dimitris Metaxas, DAVID DOERMANN
Main Conference Track
DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization Yunseon Choi, Minchan Jeong, Soobin Um, Kee-Eung Kim
Main Conference Track
GeoClip: Geometry-Aware Clipping for Differentially Private SGD Atefeh Gilani, Naima Tasnim, Lalitha Sankar, Oliver Kosut
Main Conference Track
Toward Interpretable Evaluation Measures for Time Series Segmentation Félix Chavelli, Paul Boniol, Michaël Thomazo
Main Conference Track
MoonCast: High-Quality Zero-Shot Podcast Generation Zeqian Ju, Dongchao Yang, Shen Kai, YICHONG LENG, Zhengtao Wang, Songxiang Liu, Xinyu Zhou, Tao Qin, Xiangyang Li, Jianwei Yu, Xu Tan
Main Conference Track
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector Haoyan Yang, Runxue Bao, Cao (Danica) Xiao, Jun Ma, Parminder Bhatia, Shangqian Gao, Taha Kass-Hout
Main Conference Track
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures Nina Vesseron, Louis Bethune, Marco Cuturi
Main Conference Track
Multitask Learning with Stochastic Interpolants Hugo Negrel, Florentin Coeurdoux, Michael Albergo, Eric Vanden-Eijnden
Main Conference Track
Online Learning of Neural Networks Amit Daniely, Idan Mehalel, Elchanan Mossel
Main Conference Track
Restoring Pruned Large Language Models via Lost Component Compensation Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Tianjiao Li, Chua Deryl, Lee Onn Mak, Gee Ng, Kezhi Mao
Main Conference Track
Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration Thomas Decker, Volker Tresp, Florian Buettner
Main Conference Track
Test-Time Adaptation by Causal Trimming Yingnan Liu, Rui Qiao, Mong-Li Lee, Wynne Hsu
Main Conference Track
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories Maurice Kraus, Felix Divo, Devendra Singh Dhami, Kristian Kersting
Main Conference Track
DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization Hongshu Guo, Zeyuan Ma, Yining Ma, Xinglin Zhang, Wei-Neng Chen, Yue-Jiao Gong
Main Conference Track
Statistics Caching Test-Time Adaptation for Vision-Language Models Zenghao Guan, Yucan Zhou, Wu Liu, Xiaoyan Gu
Main Conference Track
MR. Video: MapReduce as an Effective Principle for Long Video Understanding Ziqi Pang, Yu-Xiong Wang
Main Conference Track
Relieving the Over-Aggregating Effect in Graph Transformers Junshu Sun, Wanxing Chang, Chenxue Yang, Qingming Huang, Shuhui Wang
Main Conference Track
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts Fanqi Yan, Huy Nguyen, Le Dung, Pedram Akbarian, Nhat Ho, Alessandro Rinaldo
Main Conference Track
Doubly Robust Alignment for Large Language Models Erhan Xu, Kai Ye, Hongyi Zhou, Luhan Zhu, Francesco Quinzan, Chengchun Shi
Main Conference Track
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding
Main Conference Track
Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency Kenta Niwa, Yuki Takezawa, Guoqiang Zhang, W. Kleijn
Main Conference Track
Graph-based Symbolic Regression with Invariance and Constraint Encoding Ziyu Xiang, Kenna Ashen, Xiaofeng Qian, Xiaoning Qian
Main Conference Track
Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback Shinji Ito, Kevin G. Jamieson, Haipeng Luo, Arnab Maiti, Taira Tsuchiya
Main Conference Track
Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization Milad Sefidgaran, Kimia Nadjahi, Abdellatif Zaidi
Main Conference Track
Towards Evaluating Proactive Risk Awareness of Multimodal Language Models Youliang Yuan, Wenxiang Jiao, Yuejin Xie, Chihao Shen, Menghan Tian, Wenxuan Wang, Jen-Tse Huang, Pinjia He
Datasets and Benchmarks Track
GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers Guang Liang, Xinyao Liu, Jianxin Wu
Main Conference Track
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation Hossein Goli, Michael Gimelfarb, Nathan de Lara, Haruki Nishimura, Masha Itkina, Florian Shkurti
Main Conference Track
Shaping Sequence Attractor Schema in Recurrent Neural Networks Zhikun Chu, Bo Ho, xiaolong zou, Yuanyuan Mi
Main Conference Track
SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation Zhenjie Mao, Yang Yuhuan, Chaofan Ma, Dongsheng Jiang, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Main Conference Track
Large Language Bayes Justin Domke
Main Conference Track
ExAct: A Video-Language Benchmark for Expert Action Analysis Han Yi, Yulu Pan, Feihong He, Xinyu Liu, Benjamin J. Zhang, Oluwatumininu Oguntola, Gedas Bertasius
Datasets and Benchmarks Track
Constructing an Optimal Behavior Basis for the Option Keyboard Lucas N. Alegre, Ana Bazzan, Andre Barreto, Bruno Silva
Main Conference Track
Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm Konstantin Makarychev, Ilias Papanikolaou, Liren Shan
Main Conference Track
IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering Error
Datasets and Benchmarks Track
Fair Continuous Resource Allocation with Equality of Impact Blossom Metevier, Dennis Wei, Karthikeyan Natesan Ramamurthy, Philip S. Thomas
Main Conference Track
Agentic RL Scaling Law: Spontaneous Code Execution for Mathematical Problem Solving Xinji Mai, Haotian Xu, Xing W, Weinong Wang, Yingying Zhang, Wenqiang Zhang
Main Conference Track
Scalable Evaluation and Neural Models for Compositional Generalization Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer, Abbas Rahimi
Main Conference Track
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining Chunyu Wei, Wenji Hu, Xingjia Hao, Xin Wang, Yifan Yang, Yunhai Wang, Yang Tian, Yueguo Chen
Main Conference Track
XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation Bowen Chen, Brynn zhao, Haomiao Sun, Li Chen, Xu Wang, Daniel Du, Xinglong Wu
Main Conference Track
Split conformal classification with unsupervised calibration Santiago Mazuelas
Main Conference Track
Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search Sebastian Bruch, Aditya Krishnan, Franco Maria Nardini
Main Conference Track
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning Woosung Kim, Jinho Lee, Jongmin Lee, Byung-Jun Lee
Main Conference Track
ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions Yue Huang, Zhengzhe Jiang, Xiaonan Luo, Kehan Guo, Haomin Zhuang, Yujun Zhou, Zhengqing Yuan, Xiaoqi Sun, Jules Schleinitz, Yanbo Wang, Shuhao Zhang, Mihir Surve, Nitesh Chawla, Olaf Wiest, Xiangliang Zhang
Main Conference Track
When Does Curriculum Learning Help? A Theoretical Perspective Raman Arora, Yunjuan Wang, Kaibo Zhang
Main Conference Track
Failure Prediction at Runtime for Generative Robot Policies Ralf Römer, Adrian Kobras, Luca Worbis, Angela Schoellig
Main Conference Track
CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems Error
Datasets and Benchmarks Track
Learning-Augmented Online Bipartite Fractional Matching XianJun Davin Choo, Billy Jin, Yongho Shin
Main Conference Track
Partner Modelling Emerges in Recurrent Agents (But Only When It Matters) Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski, Natalia Vélez, Neil Bramley, Yanwei Wang, Tom Griffiths, Christopher G Lucas
Main Conference Track
Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think Ge Wu, Shen Zhang, Ruijing Shi, Shanghua Gao, Zhenyuan Chen, Lei Wang, Zhaowei Chen, Hongcheng Gao, Yao Tang, jian Yang, Ming-Ming Cheng, Xiang Li
Main Conference Track
AudSemThinker: Enhancing Audio-Language Models Through Reasoning over Semantics of Sound Gijs Wijngaard, Elia Formisano, Michele Esposito, Michel Dumontier
Main Conference Track
Incentivizing Time-Aware Fairness in Data Sharing Jiangwei Chen, Kieu Thao Nguyen Pham, Rachael Sim, Arun Verma, Zhaoxuan Wu, Chuan Sheng Foo, Bryan Kian Hsiang Low
Main Conference Track
Robust Label Proportions Learning Jueyu Chen, Wantao Wen, Yeqiang Wang, Erliang Lin, Yemin Wang, Yuheng Jia
Main Conference Track
VORTA: Efficient Video Diffusion via Routing Sparse Attention Wenhao Sun, Rong-Cheng Tu, Yifu Ding, Jingyi Liao, Zhao Jin, Shunyu Liu, Dacheng Tao
Main Conference Track
Reliably detecting model failures in deployment without labels Viet Nguyen, Changjian Shui, Vijay Giri, Siddharth Arya, Amol Verma, Fahad Razak, Rahul G Krishnan
Main Conference Track
Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls Qinwei Yang, Jingyi Li, Peng Wu
Main Conference Track
Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations Adrian Hill, Neal McKee, Johannes Maeß, Stefan Bluecher, Klaus-Robert Müller
Main Conference Track
GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling Jialong Zhou, Lichao Wang, Xiao Yang
Main Conference Track
Forecasting in Offline Reinforcement Learning for Non-stationary Environments Suzan Ece Ada, Georg Martius, Emre Ugur, Erhan Oztop
Main Conference Track
HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models Zelin Peng, Zhengqin Xu, Qingyang Liu, Xiaokang Yang, Wei Shen
Main Conference Track
Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead Aiden Chang, Celso de Melo, Stephanie Lukin
Main Conference Track
Robust Equilibria in Continuous Games: From Strategic to Dynamic Robustness Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet
Main Conference Track
A Pre-training Framework for Relational Data with Information-theoretic Principles Quang Truong, Zhikai Chen, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
Main Conference Track
Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes Hossein Zakerinia, Christoph H. Lampert
Main Conference Track
Elastic Robust Unlearning of Specific Knowledge in Large Language Models Yize Sui, Jing Ren, Wenjing Yang, Ruochun Jin, Liyang Xu, Xiyao Liu, J Wang
Main Conference Track
Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning Alex Su, Haozhe Wang, Weiming Ren, Fangzhen Lin, Wenhu Chen
Main Conference Track
RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation Xingliang Wang, Zemin Liu, Junxiao Han, Shuiguang Deng
Main Conference Track
Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models Zitong Shi, Frank Wan, Haixin Wang, Ruoyan Li, Zijie Huang, Wanjia Zhao, Yijia Xiao, Xiao Luo, Carl Yang, Yizhou Sun, Wei Wang
Main Conference Track
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises Abdellah Rahmani, Pascal Frossard
Main Conference Track
Horizon Reduction Makes RL Scalable Seohong Park, Kevin Frans, Deepinder Mann, Benjamin Eysenbach, Aviral Kumar, Sergey Levine
Main Conference Track
Steering When Necessary: Flexible Steering Large Language Models with Backtracking Zifeng Cheng, Jinwei Gan, Zhiwei Jiang, Cong Wang, Yafeng Yin, Xiang Luo, Yuchen Fu, Qing Gu
Main Conference Track
RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents Jingyi Yang, Shuai Shao, Dongrui Liu, Jing Shao
Main Conference Track
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand, Ishani Karmarkar, Guannan Qu
Main Conference Track
VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal Verification Error
Datasets and Benchmarks Track
On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity Quentin Bertrand, Anne Gagneux, Mathurin Massias, Rémi Emonet
Main Conference Track
Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery Mélisande Teng, Arthur Ouaknine, Etienne Laliberté, Yoshua Bengio, David Rolnick, Hugo Larochelle
Main Conference Track
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak, Tamaz Amiranashvili, Antonio Terpin, Suprosanna Shit, Lea Bogensperger, Sebastian Kaltenbach, Petros Koumoutsakos, Bjoern Menze
Main Conference Track
On the Loss of Context Awareness in General Instruction Fine-tuning Yihan Wang, Andrew Bai, Nanyun Peng, Cho-Jui Hsieh
Main Conference Track
Better Language Model Inversion by Compactly Representing Next-Token Distributions Murtaza Nazir, Matthew Finlayson, John Morris, Xiang Ren, Swabha Swayamdipta
Main Conference Track
Time-o1: Time-Series Forecasting Needs Transformed Label Alignment Hao Wang, Licheng Pan, Zhichao Chen, Xu Chen, Qingyang Dai, Lei Wang, Haoxuan Li, Zhouchen Lin
Main Conference Track
Flexible inference for animal learning rules using neural networks Yuhan Helena Liu, Victor Geadah, Jonathan Pillow
Main Conference Track
Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models Jie Zhao, Kang Cheong
Main Conference Track
CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering Zhengqing Wang, Yuefan Wu, Jiacheng Chen, Fuyang Zhang, Yasutaka Furukawa
Main Conference Track
The Quotient Bayesian Learning Rule Mykola Lukashchuk, Raphaël Trésor, Wouter Nuijten, Ismail Senoz, Bert Vries
Main Conference Track
MultiScale Contextual Bandits for Long Term Objectives Richa Rastogi, Yuta Saito, Thorsten Joachims
Main Conference Track
The Persistence of Neural Collapse Despite Low-Rank Bias Connall Garrod, Jonathan Keating
Main Conference Track
MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds Bingquan Dai, Luo Li, Qihong Tang, Jie Wang, Xinyu Lian, Hao Xu, Minghan Qin, Xudong XU, Bo Dai, Haoqian Wang, Zhaoyang Lyu, Jiangmiao Pang
Main Conference Track
FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction Siyu Jiao, Gengwei Zhang, Yinlong Qian, Jiancheng Huang, Yao Zhao, Humphrey Shi, Lin Ma, Yunchao Wei, Zequn Jie
Main Conference Track
OceanBench: A Benchmark for Data-Driven Global Ocean Forecasting systems Error
Datasets and Benchmarks Track
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization Mingzhe Du, Anh Tuan Luu, Yue Liu, Yuhao Qing, Dong HUANG, Xinyi He, Qian Liu, Zejun MA, See-Kiong Ng
Main Conference Track
Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models Quntian Fang, Zhen Huang, Zhiliang Tian, Minghao Hu, Dongsheng Li, Yiping Yao, Xinyue Fang, Menglong Lu, Guotong Geng
Main Conference Track
ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models Weifei Jin, Yuxin Cao, Junjie Su, Minhui Xue, Jie Hao, Ke Xu, Jin Song Dong, Derui Wang
Main Conference Track
Accident Anticipation via Temporal Occurrence Prediction Tianhao Zhao, Yiyang Zou, Zihao Mao, Peilun Xiao, Yulin Huang, Hongda Yang, Yuxuan Li, Tracy Li, Guobin Wu, Yutian Lin
Main Conference Track
Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning Yuxuan Zhou, Xien Liu, Xiao Zhang, Chen Ning, Shijin Wang, Guoping Hu, Ji Wu
Main Conference Track
GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion Jiayi Tian, Haiduo Huang, Tian Xia, Wenzhe zhao, Pengju Ren
Main Conference Track
LMFusion: Adapting Pretrained Language Models for Multimodal Generation Weijia Shi, Xiaochuang Han, Chunting Zhou, Weixin Liang, Xi Lin, Luke Zettlemoyer, LILI YU
Main Conference Track
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel Yilan Chen, Zhichao Wang, Wei Huang, Andi Han, Taiji Suzuki, Arya Mazumdar
Main Conference Track
FraPPE: Fast and Efficient Preference-Based Pure Exploration Udvas Das, Apurv Shukla, Debabrota Basu
Main Conference Track
pLSTM: parallelizable Linear Source Transition Mark networks Korbinian Pöppel, Richard Freinschlag, Thomas Schmied, Wei Lin, Sepp Hochreiter
Main Conference Track
The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models Ke Ji, Jiahao Xu, Tian Liang, Qiuzhi Liu, Zhiwei He, Xiaoyuan Liu, Xingyu Chen, Junying Chen, Benyou Wang, Zhaopeng Tu, Haitao Mi, Dong Yu
Main Conference Track
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks Frank (Fangzheng) Xu, Yufan Song, Boxuan Li, Yuxuan Tang, Kritanjali Jain, Mengxue Bao, Zora Wang, Xuhui Zhou, Zhitong Guo, Murong Cao, Mingyang Yang, Hao Yang Lu, Amaad Martin, Zhe Su, Leander Maben, Raj Mehta, Wayne Chi, Lawrence Jang, Yiqing Xie, Shuyan Zhou, Graham Neubig
Datasets and Benchmarks Track
Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models Xu Yang, Chen Liu, Ying Wei
Main Conference Track
Inference-Time Hyper-Scaling with KV Cache Compression Adrian Łańcucki, Konrad Staniszewski, Piotr Nawrot, Edoardo Maria Ponti
Main Conference Track
Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees Sourav Ganguly, Kishan Panaganti, Arnob Ghosh, Adam Wierman
Main Conference Track
Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms Hiroshi Kera, Nico Pelleriti, Yuki Ishihara, Max Zimmer, Sebastian Pokutta
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AI-Researcher: Autonomous Scientific Innovation Jiabin Tang, Lianghao Xia, Zhonghang Li, Chao Huang
Main Conference Track
Dense Metric Depth Estimation via Event-based Differential Focus Volume Prompting Boyu Li, Peiqi Duan, Zhaojun Huang, Xinyu Zhou, Yifei Xia, Boxin Shi
Main Conference Track
Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants Lixiong Qin, Shilong Ou, Miaoxuan Zhang, Jiangning Wei, Yuhang Zhang, Xiaoshuai Song, Yuchen Liu, Mei Wang, Weiran Xu
Datasets and Benchmarks Track
PhysDiff-VTON: Cross-Domain Physics Modeling and Trajectory Optimization for Virtual Try-On Shibin Mei, Bingbing Ni
Main Conference Track
Kernel von Mises Formula of the Influence Function Yaroslav Mukhin
Main Conference Track
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts Jinho Choi, Hyesu Lim, Steffen Schneider, Jaegul Choo
Main Conference Track
Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards Charles Arnal, Gaëtan Narozniak, Vivien Cabannes, Yunhao Tang, Julia Kempe, Remi Munos
Main Conference Track
Strassen Attention, Split VC Dimension and Compositionality in Transformers Alexander Kozachinskiy, Felipe Urrutia, Hector Orellana, Tomasz Steifer, Germán Pizarro, Matías Fuentes, Francisco Meza Vásquez, Cristian Buc Calderon, Cristobal Rojas
Main Conference Track
Taming Adversarial Constraints in CMDPs Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Main Conference Track
Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration Zhang Junyu, Lizhong Ding, MinghongZhang, Ye Yuan, Xingcan Li, Pengqi Li, Tihang Xi, Guoren Wang, Changsheng Li
Main Conference Track
Anti-Aliased 2D Gaussian Splatting Mae Younes, Adnane Boukhayma
Main Conference Track
Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy Phuc Tran, Van Vu, Nisheeth K. Vishnoi
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Multi-agent Markov Entanglement Shuze Chen, Tianyi Peng
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Optimal Online Change Detection via Random Fourier Features Florian Kalinke, Shakeel Gavioli-Akilagun
Main Conference Track
The Emergence of Abstract Thought in Large Language Models Beyond Any Language Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang
Main Conference Track
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models Maya Varma, Jean-Benoit Delbrouck, Sophie Ostmeier, Akshay Chaudhari, Curtis Langlotz
Main Conference Track
Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths Sheng Huang, Lele Fu, Fanghua Ye, Tianchi Liao, Bowen Deng, zhangchuanfu, Chuan Chen
Main Conference Track
Towards Accurate Time Series Forecasting via Implicit Decoding Xinyu Li, Yuchen Luo, Hao Wang, Haoxuan Li, Liuhua Peng, Feng Liu, Yandong Guo, Kun Zhang, Mingming Gong
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Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL Joey Hong, Anca Dragan, Sergey Levine
Main Conference Track
Distributional Training Data Attribution: What do Influence Functions Sample? Bruno Kacper Mlodozeniec, Isaac Reid, Sam Power, David Krueger, Murat A Erdogdu, Richard E Turner, Roger Baker Grosse
Main Conference Track
Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Error
Datasets and Benchmarks Track
Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design Rubo Wang, Xingyu Gao, Peilin Zhao
Main Conference Track
Ineq-Comp: Benchmarking Human-Intuitive Compositional Reasoning in Automated Theorem Proving of Inequalities Error
Datasets and Benchmarks Track
Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining Haochen Zhang, Junze Yin, Guanchu Wang, Zirui Liu, Lin F. Yang, Tianyi Zhang, Anshumali Shrivastava, Vladimir Braverman
Main Conference Track
Multiscale guidance of protein structure prediction with heterogeneous cryo-EM data Rishwanth Raghu, Axel Levy, Gordon Wetzstein, Ellen D. Zhong
Main Conference Track
Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution Bozhou Zhang, Nan Song, jingyu li, Xiatian Zhu, Jiankang Deng, Li Zhang
Main Conference Track
Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio Yang Cao, Xiaoyu Li, Zhao Song, Chiwun Yang
Main Conference Track
Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models Haidong Kang, Lihong Lin, Hanling Wang
Main Conference Track
Random Search Neural Networks for Efficient and Expressive Graph Learning Michael Ito, Danai Koutra, Jenna Wiens
Main Conference Track
FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts Heming Zou, Yunliang Zang, Wutong Xu, Yao Zhu, Xiangyang Ji
Main Conference Track
Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference Zijie Geng, Jie Wang, Ziqi Liu, Feng Ju, Yiming Li, Xing Li, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu
Main Conference Track
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding Yuchen Ma, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
Main Conference Track
Synthetic Series-Symbol Data Generation for Time Series Foundation Models Wenxuan Wang, Kai Wu, yujian li, Dan Wang, Xiaoyu Zhang
Main Conference Track
An Investigation of Memorization Risk in Healthcare Foundation Models Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour, Walter Gerych, Marzyeh Ghassemi
Main Conference Track
Diffusion Beats Autoregressive in Data-Constrained Settings Mihir Prabhudesai, Mengning Wu, Amir Zadeh, Katerina Fragkiadaki, Deepak Pathak
Main Conference Track
Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences Joshua Ashkinaze, Hua Shen, Saipranav Avula, Eric Gilbert, Ceren Budak
Main Conference Track
Beyond Prediction: Managing the Repercussions of Machine Learning Applications Aline Weber, Blossom Metevier, Yuriy Brun, Philip S. Thomas, Bruno Silva
Main Conference Track
Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie
Main Conference Track
Skill-Driven Neurosymbolic State Abstractions Alper Ahmetoglu, Steven James, Cameron Allen, Sam Lobel, David Abel, George Konidaris
Main Conference Track
MiCo: Multi-image Contrast for Reinforcement Visual Reasoning Xi Chen, Mingkang Zhu, Shaoteng Liu, Xiaoyang Wu, Xiaogang Xu, Yu Liu, Xiang Bai, Hengshuang Zhao
Main Conference Track
Sum Estimation under Personalized Local Differential Privacy Dajun Sun, Wei Dong, Yuan Qiu, Ke Yi, Graham Cormode
Main Conference Track
Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models Hao Cheng, Erjia Xiao, Jing Shao, Yichi Wang, Le Yang, Chao Shen, Philip H.S. Torr, Jindong Gu, Renjing Xu
Datasets and Benchmarks Track
One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting Haipeng Liu, Yang Wang, Meng Wang
Main Conference Track
Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models Error
Datasets and Benchmarks Track
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model Sagnik Bhattacharya, Abhiram Gorle, Ahsan Bilal, Connor Ding, Amit Kumar Singh Yadav, Tsachy Weissman
Main Conference Track
How Far Are We from Optimal Reasoning Efficiency? Jiaxuan Gao, Shu Yan, Qixin Tan, lu Yang, Shusheng Xu, Wei Fu, Zhiyu Mei, Kaifeng Lyu, YI WU
Main Conference Track
MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation kaixing yang, Xulong Tang, Ziqiao Peng, Yuxuan Hu, Jun He, Hongyan Liu
Main Conference Track
GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning Haolong Yan, Yeqing Shen, Xin Huang, Jia Wang, Kaijun Tan, Zhixuan Liang, Hongxin Li, Zheng Ge, Osamu Yoshie, Si Li, Xiangyu Zhang, Daxin Jiang
Main Conference Track
MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncology Error
Datasets and Benchmarks Track
U-REPA: Aligning Diffusion U-Nets to ViTs Yuchuan Tian, Hanting Chen, Mengyu Zheng, Yuchen Liang, Chao Xu, Yunhe Wang
Main Conference Track
Among Us: A Sandbox for Measuring and Detecting Agentic Deception Satvik Golechha, Adrià Garriga-Alonso
Main Conference Track
Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh, Zebang Shen, Niao He, Andreas Krause
Main Conference Track
Soft Task-Aware Routing of Experts for Equivariant Representation Learning Jaebyeong Jeon, Hyunseo Jang, Jy-yong Sohn, Kibok Lee
Main Conference Track
Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent Peter Richtarik, Simone Maria Giancola, Dymitr Lubczyk, Robin Yadav
Main Conference Track
On the Sample Complexity of Differentially Private Policy Optimization Yi He, Xingyu Zhou
Main Conference Track
GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation Zhengqiang ZHANG, Rongyuan Wu, Lingchen Sun, Lei Zhang
Main Conference Track
Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning Ankan Deria, Adinath Dukre, feilong tang, Sara Atito, Sudipta Roy, Muhammad Awais, Muhammad Haris Khan, Imran Razzak
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Convolution Goes Higher-Order: A Biologically Inspired Mechanism Empowers Image Classification Simone Azeglio, Olivier Marre, Peter Neri, Ulisse Ferrari
Main Conference Track
Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Neeraj Kumar, Chad Vanderbilt
Main Conference Track
COS3D: Collaborative Open-Vocabulary 3D Segmentation Runsong Zhu, Ka-Hei Hui, Zhengzhe Liu, Qianyi Wu, Weiliang Tang, Shi Qiu, Pheng-Ann Heng, Chi-Wing Fu
Main Conference Track
Value Gradient Guidance for Flow Matching Alignment Zhen Liu, Tim Xiao, Carles Domingo i Enrich, Weiyang Liu, Dinghuai Zhang
Main Conference Track
OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers Ziqiao Peng, Jiwen Liu, Haoxian Zhang, Xiaoqiang Liu, Songlin Tang, Pengfei Wan, Di ZHANG, Hongyan Liu, Jun He
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Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks Hongzhi Wang, Xiubo Liang, Jinxing Han, Weidong Geng
Main Conference Track
Approximately Aligned Decoding Daniel Melcer, Sujan Kumar Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras
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Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs Gerardo Flores, Alyssa H. Smith, Julia Fukuyama, Ashia C Wilson
Main Conference Track
OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding Error
Datasets and Benchmarks Track
MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models Zimeng Huang, Jinxin Ke, Xiaoxuan Fan, Yufeng Yang, Yang Liu, Liu Zhonghan, Zedi Wang, Junteng Dai, Haoyi Jiang, Yuyu Zhou, Keze Wang, Ziliang Chen
Datasets and Benchmarks Track
Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment DEOKJAE LEE, Hyun Oh Song
Main Conference Track
Cascaded Language Models for Cost-Effective Human–AI Decision-Making Claudio Fanconi, Mihaela van der Schaar
Main Conference Track
Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation Mingfeng Fan, Jianan Zhou, Yifeng Zhang, Yaoxin Wu, Jinbiao Chen, Guillaume Sartoretti
Main Conference Track
Localist Topographic Expert Routing: A Barrel Cortex-Inspired Modular Network for Sensorimotor Processing Tianfang Zhu, Dongli Hu, Jiandong Zhou, Kai Du, Anan LI
Main Conference Track
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry Sai Sumedh R. Hindupur, Ekdeep S Lubana, Thomas Fel, Demba Ba
Main Conference Track
Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models Gen Li, Changxiao Cai
Main Conference Track
GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs Amir Ghazizadeh, Rickard Ewetz, Hao Zheng
Main Conference Track
From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review Yaohui Zhang, Haijing ZHANG, Wenlong Ji, Tianyu Hua, Nick Haber, Hancheng Cao, Weixin Liang
Main Conference Track
Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs Jiaqi Ding, Tingting Dan, Zhixuan Zhou, Guorong Wu
Main Conference Track
A Physics-preserved Transfer Learning Method for Differential Equations Hao-Ran Yang, Chuan-Xian Ren
Main Conference Track
Feature Unlearning: Theoretical Foundations and Practical Applications with Shuffling Yue Yang, Jinhao Li, Hao Wang
Main Conference Track
AHa-Bench: Benchmarking Audio Hallucinations in Large Audio-Language Models Error
Datasets and Benchmarks Track
Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training Shuo Cheng, Liqian Ma, Zhenyang Chen, Ajay Mandlekar, Caelan Garrett, Danfei Xu
Main Conference Track
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks Linus Aronsson, Morteza Haghir Chehreghani
Main Conference Track
ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning Chau Pham, Juan C. Caicedo, Bryan A. Plummer
Main Conference Track
Discovering Data Structures: Nearest Neighbor Search and Beyond Omar Salemohamed, Laurent Charlin, Shivam Garg, Vatsal Sharan, Gregory Valiant
Main Conference Track
Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction Jeffrey Willette, Heejun Lee, Sung Ju Hwang
Main Conference Track
Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One Itamar Avitan, Tal Golan
Main Conference Track
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning Zhuang Qi, Yu Pan, Lei Meng, Sijin Zhou, Han Yu, Xiaoxiao Li, Xiangxu Meng
Main Conference Track
PolyGuard: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset Mintong Kang, Zhaorun Chen, Chejian Xu, Jiawei Zhang, Chengquan Guo, Minzhou Pan, Ivan Revilla, Yu Sun, Bo Li
Datasets and Benchmarks Track
Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour
Main Conference Track
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning Julie Mordacq, David Loiseaux, Vicky Kalogeiton, Steve OUDOT
Main Conference Track
A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement Linlin Fan, Xingyu Liu, Mingliang Zhou, Xuekai Wei, Weizhi Xian, Jielu Yan, Weijia Jia
Main Conference Track
Conformal Prediction for Time-series Forecasting with Change Points Sophia Sun, Rose Yu
Main Conference Track
Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It Yulu Qin, Dheeraj Varghese, Adam Dahlgren Lindström, Lucia Donatelli, Kanishka Misra, Najoung Kim
Main Conference Track
Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Siqi Kou, Qingyuan Tian, Hanwen Xu, Zihao Zeng, Zhijie Deng
Main Conference Track
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection Xin Gao, Jiyao Liu, Guanghao Li, Yueming Lyu, Jianxiong Gao, Weichen Yu, Ningsheng Xu, Liang Wang, Caifeng Shan, Ziwei Liu, Chenyang Si
Main Conference Track
Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems Jingwen Cheng, Ruikun Li, Huandong Wang, Yong Li
Main Conference Track
Constrained Discrete Diffusion Michael Cardei, Jacob K Christopher, Bhavya Kailkhura, Tom Hartvigsen, Ferdinando Fioretto
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ShapeEmbed: a self-supervised learning framework for 2D contour quantification Anna Foix-Romero, Craig Russell, Alexander Krull, Virginie Uhlmann
Main Conference Track
Distance-informed Neural Processes Aishwarya Venkataramanan, Joachim Denzler
Main Conference Track
ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models Zixun Fang, Kai Zhu, Zhiheng Liu, Yu Liu, Wei Zhai, Yang Cao, Zheng-Jun Zha
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Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States Runze Xia, Richard Jiang
Main Conference Track
DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis? Error
Datasets and Benchmarks Track
Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning Chen Qian, Dongrui Liu, Haochen Wen, Zhen Bai, Yong Liu, Jing Shao
Main Conference Track
Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control Chengxiu HUA, Jiawen Gu, Yushun Tang
Main Conference Track
Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations Jack Nugent, Siyang Wu, Zeyu Ma, Beining Han, Meenal Parakh, Abhishek Joshi, Lingjie Mei, Alexander Raistrick, Xinyuan Li, Jia Deng
Main Conference Track
Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation Qijiong Liu, Jieming Zhu, Lu Fan, Kun Wang, Hengchang Hu, Wei Guo, Yong Liu, Xiao-Ming Wu
Datasets and Benchmarks Track
Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening Jiawei Gu, Ziyue Qiao, Xinming Li, Zechao Li
Main Conference Track
Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons Jianhui Chen, Xiaozhi Wang, Zijun Yao, Yushi Bai, Lei Hou, Juanzi Li
Main Conference Track
DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving Xihang Yue, Yi Yang, Linchao Zhu
Main Conference Track
SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning Rui Pan, Yinwei Dai, Zhihao Zhang, Gabriele Oliaro, Zhihao Jia, Ravi Netravali
Main Conference Track
LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges? Error
Datasets and Benchmarks Track
Channel Matters: Estimating Channel Influence for Multivariate Time Series Muyao Wang, Zeke Xie, Bo Chen, Hongwei Liu, James Kwok
Main Conference Track
Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge Yiyang Cai, Zhengkai Jiang, Yulong Liu, Chunyang Jiang, Wei Xue, Yike Guo, Wenhan Luo
Main Conference Track
PROFIT: A Specialized Optimizer for Deep Fine Tuning Anirudh Chakravarthy, Shuai Zheng, Xin Huang, Sachithra Hemachandra, Xiao Zhang, Yuning Chai, Zhao Chen
Main Conference Track
Audio-Sync Video Generation with Multi-Stream Temporal Control Shuchen Weng, Haojie Zheng, zheng chang, Si Li, Boxin Shi, Xinlong Wang
Main Conference Track
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Chaochen Gao, Xing W, Zijia Lin, Debing Zhang, Songlin Hu
Main Conference Track
SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation Yueyang Hu, Haiyong Jiang, Haoxuan Song, Jun Xiao, Hao Pan
Main Conference Track
P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen
Main Conference Track
DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel Alan J.X. Guo, Sihan Sun, Xiang Wei, Mengyi Wei, Xin Chen
Main Conference Track
ZeroS: Zero‑Sum Linear Attention for Efficient Transformers Jiecheng Lu, Xu Han, Yan Sun, Viresh Pati, Yubin Kim, Siddhartha Somani, Shihao Yang
Main Conference Track
G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Guibin Zhang, Muxin Fu, Kun Wang, Frank Wan, Miao Yu, Shuicheng Yan
Main Conference Track
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel, Mrinmaya Sachan
Main Conference Track
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng
Main Conference Track
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness Mojtaba Kolahdouzi, Hatice Gunes, Ali Etemad
Main Conference Track
Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function Yi-Chen Li, Zhongxiang Ling, Tao Jiang, Fuxiang Zhang, Pengyuan Wang, Lei Yuan, Zongzhang Zhang, Yang Yu
Main Conference Track
DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints Sungmin Woo, Sangyoun Lee
Main Conference Track
Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta
Main Conference Track
Smooth and Flexible Camera Movement Synthesis via Temporal Masked Generative Modeling Chenghao Xu, guangtao lyu, Jiexi Yan, Muli Yang, Cheng Deng
Main Conference Track
SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI Yuzhou Nie, Zhun Wang, Yu Yang, Ruizhe Jiang, Yuheng Tang, Xander Davies, Yarin Gal, Bo Li, Wenbo Guo, Dawn Song
Datasets and Benchmarks Track
Geometric Mixture Models for Electrolyte Conductivity Prediction Anyi Li, Jiacheng Cen, Songyou Li, Mingze Li, YANG YU, Wenbing Huang
Main Conference Track
High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction Seongsu Kim, Nayoung Kim, Dongwoo Kim, Sungsoo Ahn
Main Conference Track
GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling Tianhao Chen, Xin Xu, Zijing Liu, Pengxiang Li, Xinyuan Song, AJAY JAISWAL, Fan Zhang, Jishan Hu, Yang Wang, Hao CHEN, Shizhe Diao, Shiwei Liu, Yu Li, Lu Yin, Can Yang
Main Conference Track
Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions Nayel Bettache
Main Conference Track
Contextual Online Pricing with (Biased) Offline Data Yixuan Zhang, Ruihao Zhu, Qiaomin Xie
Main Conference Track
Eyes Wide Open: Ego Proactive Video-LLM for Streaming Video Xueyang Yu, Cheng Shi, Yang Wang, Sibei Yang
Main Conference Track
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? Tuan Tran Anh, Duy M. H. Nguyen, Hoai-Chau Tran, Michael Barz, Khoa D Doan, Roger Wattenhofer, Vien Ngo, Mathias Niepert, Daniel Sonntag, Paul Swoboda
Main Conference Track
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Christoph Jürgen Hemmer, Daniel Durstewitz
Main Conference Track
VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Raghu Vamshi Hemadri, Jitendra Bhandari, Andre Nakkab, Johann Knechtel, Badri Gopalan, Ramesh Narayanaswamy, Ramesh Karri, Siddharth Garg
Main Conference Track
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence Diankun Wu, Fangfu Liu, Yi-Hsin Hung, Yueqi Duan
Main Conference Track
Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation Yanghao Zhang, Panagiotis Kouvaros, Alessio Lomuscio
Main Conference Track
Counterfactual Implicit Feedback Modeling Chuan Zhou, Lina Yao, Haoxuan Li, Mingming Gong
Main Conference Track
CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs Bowen Gao, Yanwen Huang, Yiqiao Liu, Wenxuan Xie, Bowei He, Haichuan Tan, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan
Main Conference Track
Scaling Epidemic Inference on Contact Networks: Theory and Algorithms Guanghui Min, Yinhan He, Chen Chen
Main Conference Track
Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression Kunjun Li, Zigeng Chen, Cheng-Yen Yang, Jenq-Neng Hwang
Main Conference Track
Alligat0R: Pre-Training through Covisibility Segmentation for Relative Camera Pose Regression Thibaut Loiseau, Guillaume Bourmaud, Vincent Lepetit
Main Conference Track
Flexible MOF Generation with Torsion-Aware Flow Matching Nayoung Kim, Seongsu Kim, Sungsoo Ahn
Main Conference Track
Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto, Aurelien Lucchi
Main Conference Track
SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs Ruyue Liu, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Yong Liu, Jinwen Zhong, Can Ma, Weiping Wang
Main Conference Track
Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
Main Conference Track
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions Jihoon Kwon, Kyle Min, Jy-yong Sohn
Main Conference Track
OctoNet: A Large-Scale Multi-Modal Dataset for Human Activity Understanding Grounded in Motion-Captured 3D Pose Labels Error
Datasets and Benchmarks Track
Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities Taehyun Hwang, Dahngoon Kim, Min-hwan Oh
Main Conference Track
Orochi: Versatile Biomedical Image Processor Gaole Dai, Chenghao Zhou, Yu Zhou, Rongyu Zhang, Yuan Zhang, Chengkai Hou, Tiejun Huang, Jianxu Chen, Shanghang Zhang
Main Conference Track
Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL Xingyu Chen, Shihao Ma, Runsheng Lin, Jiecong Lin, Bo Wang
Main Conference Track
You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering Hanyang Li, Yuheng Jia, Hui LIU, Junhui Hou
Main Conference Track
Embedding Principle of Homogeneous Neural Network for Classification Problem Jiahan Zhang, Yaoyu Zhang, Tao Luo
Main Conference Track
EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation Haotian Ling, Zequn Chen, Qiuying Chen, Donglin Di, Yongjia Ma, Hao Li, Chen Wei, Zhulin Tao, Xun Yang
Main Conference Track
BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation Rui Chu, Bingyin Zhao, Hanling Jiang, Shuchin Aeron, Yingjie Lao
Main Conference Track
Variational Supervised Contrastive Learning Ziwen Wang, Jiajun Fan, Thao Nguyen, Heng Ji, Ge Liu
Main Conference Track
Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits Md Mobasshir Arshed Naved, Wenbo Xie, Wojciech Szpankowski, Ananth Grama
Main Conference Track
Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling Viacheslav Meshchaninov, Egor Chimbulatov, Alexander Shabalin, Aleksandr Abramov, Dmitry P Vetrov
Main Conference Track
Holistic Order Prediction in Natural Scenes Pierre Musacchio, Hyunmin Lee, Jaesik Park
Main Conference Track
Adaptive Gradient Masking for Balancing ID and MLLM-based Representations in Recommendation Yidong Wu, Siyuan Chen, Binrui Wu, Fan Li, Jiechao Gao
Main Conference Track
Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning Minglu Zhao, Dehong Xu, Deqian Kong, Wen-Hao Zhang, Ying Nian Wu
Main Conference Track
CHiQPM: Calibrated Hierarchical Interpretable Image Classification Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Neslihan Kose, Ramesh Manuvinakurike, Bodo Rosenhahn
Main Conference Track
Codifying Character Logic in Role-Playing Letian Peng, Jingbo Shang
Main Conference Track
Neural Atlas Graphs for Dynamic Scene Decomposition and Editing Jan Philipp Schneider, Pratik S. Bisht, Ilya Chugunov, Andreas Kolb, Michael Moeller, Felix Heide
Main Conference Track
A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks Mucong Ding, Bang An, Tahseen Rabbani, Chenghao Deng, Anirudh Satheesh, Souradip Chakraborty, Mehrdad Saberi, Yuxin Wen, Kyle Sang, Aakriti Agrawal, Xuandong Zhao, Mo Zhou, Mary-Anne Hartley, Lei Li, Yu-Xiang Wang, Vishal M. Patel, Soheil Feizi, Tom Goldstein, Furong Huang
Datasets and Benchmarks Track
LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought Error
Datasets and Benchmarks Track
Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval Haifan Gong, Xuanye Zhang, Ruifei Zhang, Yun Su, Zhuo Li, Yuhao Du, Anningzhe Gao, Xiang Wan, Haofeng Li
Main Conference Track
Estimating cognitive biases with attention-aware inverse planning Sounak Banerjee, Daphne Cornelisse, Deepak Gopinath, Emily Sumner, Jonathan DeCastro, Guy Rosman, Eugene Vinitsky, Mark K Ho
Main Conference Track
Point Cloud Synthesis Using Inner Product Transforms Ernst Röell, Bastian Rieck
Main Conference Track
UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring Yide Qiu, Tong Zhang, Shaoxiang Ling, Xing Cai, Ziqi Gu, Zhen Cui
Datasets and Benchmarks Track
Localizing Knowledge in Diffusion Transformers Arman Zarei, Samyadeep Basu, Keivan Rezaei, Zihao Lin, Sayan Nag, Soheil Feizi
Main Conference Track
Learning Theory for Kernel Bilevel Optimization Fares El Khoury, Edouard Pauwels, Samuel Vaiter, Michael Arbel
Main Conference Track
Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching Jing Zuo, Jiaqi Wang, Yonggang Qi, Yi-Zhe Song
Main Conference Track
StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models Haoxin Yang, Bangzhen Liu, Xuemiao Xu, Cheng Xu, Yuyang Yu, Zikai Huang, Yi Wang, Shengfeng He
Main Conference Track
Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization Longshen Ou, Jingwei Zhao, Ziyu Wang, Gus Xia, Qihao Liang, Torin Hopkins, Ye Wang
Main Conference Track
When Are Concepts Erased From Diffusion Models? Kevin Lu, Nicky Kriplani, Rohit Gandikota, Minh Pham, David Bau, Chinmay Hegde, Niv Cohen
Main Conference Track
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling Nimrod Berman, Ilan Naiman, Moshe Eliasof, Hedi Zisling, Omri Azencot
Main Conference Track
Native-Resolution Image Synthesis ZiDong Wang, LEI BAI, Xiangyu Yue, Wanli Ouyang, Yiyuan Zhang
Main Conference Track
Scale-invariant attention Ben Anson, Xi Wang, Laurence Aitchison
Main Conference Track
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model Alexander Pluska, Sagar Malhotra
Main Conference Track
HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location Ting Sun, Penghan Wang, Fan Lai
Main Conference Track
A Minimalist Example of Edge-of-Stability and Progressive Sharpening Liming Liu, Zixuan Zhang, Simon S Du, Tuo Zhao
Main Conference Track
Sequential Multi-Agent Dynamic Algorithm Configuration Chen Lu, Ke Xue, Lei Yuan, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
Main Conference Track
Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion Adrien Vacher, Omar Chehab, Anna Korba
Main Conference Track
Señorita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists Error
Datasets and Benchmarks Track
Bridging Human and LLM Judgments: Understanding and Narrowing the Gap Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin, Gongjun Xu, Moulinath Banerjee, Yuekai Sun
Main Conference Track
GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents Qianhui Wu, Kanzhi Cheng, Rui Yang, Chaoyun Zhang, Jianwei Yang, Huiqiang Jiang, Jian Mu, Baolin Peng, Bo Qiao, Reuben Tan, Si Qin, Lars Liden, Qingwei Lin, Huan Zhang, Tong Zhang, Jianbing Zhang, Dongmei Zhang, Jianfeng Gao
Main Conference Track
Non-Stationary Lipschitz Bandits Nicolas Nguyen, Solenne Gaucher, Claire Vernade
Main Conference Track
Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL Songjun Tu, Jiahao Lin, Qichao Zhang, Xiangyu Tian, Linjing Li, Xiangyuan Lan, Dongbin Zhao
Main Conference Track
LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale Error
Datasets and Benchmarks Track
Improved Confidence Regions and Optimal Algorithms for Online and Offline Linear MNL Bandits Yuxuan Han, Jose Blanchet, Zhengyuan Zhou
Main Conference Track
Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo Jakob Robnik, Reuben Cohn-Gordon, Uros Seljak
Main Conference Track
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback Wei Shen, Guanlin Liu, Yu Yue, Ruofei Zhu, Qingping Yang, Chao Xin, Lin Yan
Main Conference Track
Beyond Benign Overfitting in Nadaraya-Watson Interpolators Daniel Barzilai, Guy Kornowski, Ohad Shamir
Main Conference Track
Fast MRI for All: Bridging Access Gaps by Training without Raw Data Yasar Utku Alcalar, Merve Gulle, Mehmet Akcakaya
Main Conference Track
Continuous Subspace Optimization for Continual Learning Quan Cheng, Yuanyu Wan, Lingyu Wu, Chenping Hou, Lijun Zhang
Main Conference Track
When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning Error
Datasets and Benchmarks Track
TabArena: A Living Benchmark for Machine Learning on Tabular Data Error
Datasets and Benchmarks Track
ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks Error
Datasets and Benchmarks Track
MaintainCoder: Maintainable Code Generation Under Dynamic Requirements Zhengren Wang, Rui ling, Chufan Wang, Yongan Yu, Sizhe Wang, Zhiyu li, Feiyu Xiong, Wentao Zhang
Main Conference Track
NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting Andrea Dunn Beltran, Daniel Rho, Marc Niethammer, Roni Sengupta
Main Conference Track
BLEUBERI: BLEU is a surprisingly effective reward for instruction following Yapei Chang, Yekyung Kim, Michael Krumdick, Amir Zadeh, Chuan Li, Chris Tanner, Mohit Iyyer
Main Conference Track
Rising from Ashes: Generalized Federated Learning via Dynamic Parameter Reset Jiahao Wu, Ming Hu, Yanxin Yang, Xiaofei Xie, ZeKai Chen, Chenyu Song, Mingsong Chen
Main Conference Track
InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions Liangjian Wen, Qun Dai, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan
Main Conference Track
AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians Xiyu Zhang, Chong Bao, YiPeng Chen, Hongjia Zhai, Yitong Dong, Hujun Bao, Zhaopeng Cui, Guofeng Zhang
Main Conference Track
Vertical Federated Feature Screening Huajun Yin, Liyuan Wang, Yingqiu Zhu, Liping Zhu, Danyang Huang
Main Conference Track
Encoder-Decoder Diffusion Language Models for Efficient Training and Inference Marianne Arriola, Yair Schiff, Hao Phung, Aaron Gokaslan, Volodymyr Kuleshov
Main Conference Track
InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models Yanggan Gu, Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Fei Wu, Hongxia Yang
Main Conference Track
Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers Error
Datasets and Benchmarks Track
Adjoint Schrödinger Bridge Sampler Guan-Horng Liu, Jaemoo Choi, Yongxin Chen, Benjamin K Miller, Ricky T. Q. Chen
Main Conference Track
RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models Jiarui Zhang, Xiangyu Liu, Yong Hu, Chaoyue Niu, Fan Wu, Guihai Chen
Main Conference Track
Preference-Guided Diffusion for Multi-Objective Offline Optimization Yashas Annadani, Syrine Belakaria, Stefano Ermon, Stefan Bauer, Barbara Engelhardt
Main Conference Track
Contribution of task-irrelevant stimuli to drift of neural representations Farhad Pashakhanloo
Main Conference Track
Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models Xiyuan Zhang, Danielle Maddix Robinson, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Tony Hu, Huzefa Rangwala, George Karypis, Yuyang (Bernie) Wang
Main Conference Track
Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence Octave Mariotti, Zhipeng Du, Yash Bhalgat, Oisin Mac Aodha, Hakan Bilen
Main Conference Track
Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks Hongyuan Tao, Ying Zhang, Zhenhao Tang, Hongen Peng, Xukun Zhu, Bingchang Liu, Yingguang Yang, Ziyin Zhang, Zhaogui Xu, Haipeng Zhang, Linchao Zhu, Rui Wang, Hang Yu, Jianguo Li, Peng Di
Main Conference Track
Online Experimental Design With Estimation-Regret Trade-off Under Network Interference Zhiheng Zhang, Zichen Wang
Main Conference Track
Pseudo-Riemannian Graph Transformer Viet Quan Le, Cuong Viet Ta
Main Conference Track
Cameras as Relative Positional Encoding Ruilong Li, Brent Yi, Junchen Liu, Hang Gao, Yi Ma, Angjoo Kanazawa
Main Conference Track
REINFORCE Converges to Optimal Policies with Any Learning Rate Samuel Robertson, Thang Chu, Bo Dai, Dale Schuurmans, Csaba Szepesvari, Jincheng Mei
Main Conference Track
ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation Lingfeng Wang, Hualing Lin, Senda Chen, Tao Wang, Changxu Cheng, Yangyang Zhong, Dong Zheng, Wuyue Zhao
Main Conference Track
Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization Sunay Joshi, Shayan Kiyani, George J. Pappas, Edgar Dobriban, Hamed Hassani
Main Conference Track
Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models Minghao Yin, Yukang Cao, Kai Han
Main Conference Track
Incremental Sequence Classification with Temporal Consistency Lucas Maystre, Gabriel Barello, Tudor Berariu, Cambray, Rares Dolga, Alvaro Ortega Gonzalez, Andrei Nica, David Barber
Main Conference Track
FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning Li Zhang, Zhongxuan Han, XiaoHua Feng, Jiaming Zhang, Yuyuan Li, Chaochao Chen
Main Conference Track
Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions Philip Boeken, Onno Zoeter, Joris M. Mooij
Main Conference Track
ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning Timo Kaufmann, Yannick Metz, Daniel Keim, Eyke Hüllermeier
Main Conference Track
Low-Rank Graphon Learning for Networks Xinyuan Fan, Feiyan Ma, Chenlei Leng, Weichi Wu
Main Conference Track
Structure Matters: Dynamic Policy Gradient Sara Klein, Xiangyuan Zhang, Tamer Basar, Simon Weissmann, Leif Döring
Main Conference Track
User-Instructed Disparity-aware Defocus Control Yudong Han, Yan Yang, Hao Yang, Liyuan Pan
Main Conference Track
Is This Tracker On? A Benchmark Protocol for Dynamic Tracking Error
Datasets and Benchmarks Track
Vector Database Watermarking Zhiwen Ren, Wei Fan, Qiyi Yao, Jing Qiu, Weiming Zhang, Nenghai Yu
Main Conference Track
DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning Wenxuan Shi, Haochen Tan, Chuqiao Kuang, Xiaoguang Li, Hanting Chen, Xiaozhe Ren, Yasheng Wang, Lu Hou, Lifeng Shang
Main Conference Track
Tree-Sliced Entropy Partial Transport Viet-Hoang Tran, Thanh Tran, Thanh Chu, Tam Le, Tan M. Nguyen
Main Conference Track
Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization Xinyan Su, Zhiheng Zhang, Jiyan Qiu, Zhaojuan Yue, Jun Li
Main Conference Track
Measuring Fingerprints of Web-filtered Text Datasets and Fingerprint Propagation Through Training Error
Datasets and Benchmarks Track
OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation Dongjun Hwang, Yejin Kim, Minyoung Lee, Seong Joon Oh, Junsuk Choe
Main Conference Track
Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN Jiaxin Wu, Chenglong Pang, Guangxiong Chen, Jie Zhao
Main Conference Track
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S Yu
Main Conference Track
Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Zirui Wang, Wenjing Bian, Xinghui Li, Yifu Tao, Jianeng Wang, Maurice Fallon, Victor Prisacariu
Datasets and Benchmarks Track
Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning Yuhao Zhou, Yiheng Wang, Xuming He, Ruoyao Xiao, Zhiwei Li, Qiantai Feng, Zijie Guo, Yuejin Yang, Hao Wu, Wenxuan Huang, Jiaqi Wei, Dan Si, YAO XIUQI, Jia Bu, Haiwen Huang, Tianfan Fu, SHIXIANG TANG, Ben Fei, Dongzhan Zhou, Fenghua Ling, Yan Lu, Siqi Sun, Chenhui Li, Guanjie Zheng, Jiancheng Lv, Wenlong Zhang, LEI BAI
Datasets and Benchmarks Track
Boosting Generative Image Modeling via Joint Image-Feature Synthesis Theodoros Kouzelis, Efstathios Karypidis, Ioannis Kakogeorgiou, Spyridon Gidaris, Nikos Komodakis
Main Conference Track
UVE: Are MLLMs Unified Evaluators for AI-Generated Videos? Error
Datasets and Benchmarks Track
Exploring Structural Degradation in Dense Representations for Self-supervised Learning Siran Dai, Qianqian Xu, Peisong Wen, Yang Liu, Qingming Huang
Main Conference Track
Objective Soups: Multilingual Multi-Task Modeling for Speech Processing A F M Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen
Main Conference Track
Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems Ni Zhang, Zhiguang Cao
Main Conference Track
Radial Attention: $\mathcal{O}(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation XINGYANG LI, Muyang Li, Tianle Cai, Haocheng Xi, Shuo Yang, Yujun Lin, Lvmin Zhang, Songlin Yang, Jinbo Hu, Kelly Peng, Maneesh Agrawala, Ion Stoica, Kurt Keutzer, Song Han
Main Conference Track
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization Tonghan Wang, Yanchen Jiang, David C. Parkes
Main Conference Track
SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding Thomas Walton, Darin Tsui, Aryan Musharaf, Amirali Aghazadeh
Main Conference Track
Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions Naoki Kiyohara, Edward Johns, Yingzhen Li
Main Conference Track
Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action Yuhao Sun, Zhenyi Zhang, Zihan Wang, Tiejun Li, Peijie Zhou
Main Conference Track
System-Embedded Diffusion Bridge Models Bartlomiej Sobieski, Matthew Tivnan, Yuang Wang, Siyeop yoon, Pengfei Jin, Dufan Wu, Quanzheng Li, Przemyslaw Biecek
Main Conference Track
UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation Error
Datasets and Benchmarks Track
Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges Tao Zhong, Jonah Buchanan, Christine Allen-Blanchette
Main Conference Track
Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation David Heineman, Valentin Hofmann, Ian Magnusson, Yuling Gu, Noah A. Smith, Hanna Hajishirzi, Kyle Lo, Jesse Dodge
Main Conference Track
DGCBench: A Deep Graph Clustering Benchmark Benyu Wu, Yue Liu, Qiaoyu Tan, Xinwang Liu, Wei Du, Jun Wang, Guoxian Yu
Datasets and Benchmarks Track
Bubbleformer: Forecasting Boiling with Transformers Error
Datasets and Benchmarks Track
Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity Daniel Cao, August Chen, Karthik Sridharan, Benjamin Tang
Main Conference Track
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model Kaito Takanami, Takashi Takahashi, Ayaka Sakata
Main Conference Track
MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang
Main Conference Track
GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding Miruna Oprescu, David Park, Xihaier Luo, Shinjae Yoo, Nathan Kallus
Main Conference Track
Learning with Statistical Equality Constraints Aneesh Barthakur, Luiz Chamon
Main Conference Track
XIFBench: Evaluating Large Language Models on Multilingual Instruction Following Zhenyu Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yaoyin Zhang, Xuchen Wei, Juntao Li, Min Zhang
Datasets and Benchmarks Track
CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research Error
Datasets and Benchmarks Track
Additive Models Explained: A Computational Complexity Approach Shahaf Bassan, Michal Moshkovitz, Guy Katz
Main Conference Track
Can Dependencies Induced by LLM-Agent Workflows Be Trusted? Yu Yao, Yiliao (Lia) Song, Yian Xie, Mengdan Fan, Mingyu Guo, Tongliang Liu
Main Conference Track
Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models Zekai Zhao, Qi Liu, Kun Zhou, Zihan Liu, Yifei Shao, Zhiting Hu, Biwei Huang
Main Conference Track
Versatile Transferable Unlearnable Example Generator Zhihao Li, Jiale Cai, Gezheng Xu, Hao Zheng, Qiuyue Li, Fan Zhou, Shichun Yang, Charles Ling, Boyu Wang
Main Conference Track
Measuring what Matters: Construct Validity in Large Language Model Benchmarks Error
Datasets and Benchmarks Track
Unleashing Hour-Scale Video Training for Long Video-Language Understanding Jingyang Lin, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Xiaodong Yu, Hao Chen, Jiebo Luo, Zicheng Liu, Emad Barsoum
Main Conference Track
Enhancing CLIP Robustness via Cross-Modality Alignment Xingyu Zhu, Beier Zhu, Shuo Wang, Kesen Zhao, Hanwang Zhang
Main Conference Track
A-Mem: Agentic Memory for LLM Agents Wujiang Xu, Zujie Liang, Kai Mei, Hang Gao, Juntao Tan, Yongfeng Zhang
Main Conference Track
CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning Ronghao Lin, Qiaolin He, Sijie Mai, Ying Zeng, Aolin Xiong, Li Huang, Yap-Peng Tan, Haifeng Hu
Main Conference Track
A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors Sebastian Wagner-Carena, Aizhan Akhmetzhanova, Sydney Erickson
Main Conference Track
GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization Pengyue Jia, Seongheon Park, Song Gao, Xiangyu Zhao, Sharon Li
Main Conference Track
Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor Error
Position Paper Track
DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning Sitong Wu, Haoru Tan, Jingyao Li, Shaofeng Zhang, Xiaojuan Qi, Bei Yu, Jiaya Jia
Main Conference Track
Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models Hector Pasten, Felipe Urrutia, Hector Orellana, Cristian Buc Calderon, Cristobal Rojas, Alexander Kozachinskiy
Main Conference Track
RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video Error
Datasets and Benchmarks Track
Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning Boheng Li, Renjie Gu, Junjie Wang, Leyi Qi, Yiming Li, Run Wang, Zhan Qin, Tianwei Zhang
Main Conference Track
MoBA: Mixture of Block Attention for Long-Context LLMs Enzhe Lu, Zhejun Jiang, Jingyuan Liu, Yulun Du, Tao Jiang, Chao Hong, Shaowei Liu, Weiran He, Enming Yuan, Yuzhi Wang, Zhiqi Huang, Huan Yuan, Suting Xu, Xinran Xu, Guokun Lai, Yanru Chen, Huabin Zheng, Junjie Yan, Jianlin Su, Yuxin Wu, Yutao Zhang, Zhilin Yang, Xinyu Zhou, Mingxing Zhang, Jiezhong Qiu
Main Conference Track
Exploring Diffusion Transformer Designs via Grafting Keshigeyan Chandrasegaran, Michael Poli, Dan Fu, Dongjun Kim, Lea M. Hadzic, Manling Li, Agrim Gupta, Stefano Massaroli, Azalia Mirhoseini, Juan Carlos Niebles, Stefano Ermon, Fei-Fei Li
Main Conference Track
An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification Fuyuan Xiao, Yu Zhou, Witold Pedrycz
Main Conference Track
KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen
Main Conference Track
Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs Yifan Shen, Yuanzhe Liu, Jingyuan Zhu, Xu Cao, Xiaofeng Zhang, Yixiao He, Wenming Ye, James M. Rehg, Ismini Lourentzou
Main Conference Track
Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$ Bowei Zhu, Shaojie Li, Mingyang Yi, Yong Liu
Main Conference Track
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Mingjie Liu, Shizhe Diao, Ximing Lu, Jian Hu, Xin Dong, Yejin Choi, Jan Kautz, Yi Dong
Main Conference Track
Gaussian Processes for Shuffled Regression Masahiro Kohjima
Main Conference Track
Simple and Effective Specialized Representations for Fair Classifiers Alberto Sinigaglia, Davide Sartor, Marina Ceccon, Gian Antonio Susto
Main Conference Track
Last Iterate Convergence in Monotone Mean Field Games Noboru Isobe, Kenshi Abe, Kaito Ariu
Main Conference Track
Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks Xuan Tang, Han Zhang, Yuan Cao, Difan Zou
Main Conference Track
Replicable Distribution Testing Ilias Diakonikolas, Jingyi Gao, Daniel Kane, Sihan Liu, Christopher Ye
Main Conference Track
Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models Jisung Hwang, Jaihoon Kim, Minhyuk Sung
Main Conference Track
Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering Yiming Wang, Qun Li, Dongxia Chang, Jie Wen, Hua Dai, Fu Xiao, Yao Zhao
Main Conference Track
Diffusion Generative Modeling on Lie Group Representations Marco Bertolini, Tuan Anh Le, Djork-Arné Clevert
Main Conference Track
HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis Zipeng Wang, Dan Xu
Main Conference Track
Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models Junhao Dong, Cong Zhang, Xinghua Qu, Zejun MA, Piotr Koniusz, Yew Soon Ong
Main Conference Track
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering Kuicai Dong, CHANG YUJING, Shijie Huang, Yasheng Wang, Ruiming Tang, Yong Liu
Datasets and Benchmarks Track
Information-Theoretic Discrete Diffusion Moongyu Jeon, Sangwoo Shin, Dongjae Jeon, Albert No
Main Conference Track
Image Editing As Programs with Diffusion Models Yujia Hu, Songhua Liu, Zhenxiong Tan, Xingyi Yang, Xinchao Wang
Main Conference Track
Tightening Regret Lower and Upper Bounds in Restless Rising Bandits Cristiano Migali, Marco Mussi, Gianmarco Genalti, Alberto Maria Metelli
Main Conference Track
Class conditional conformal prediction for multiple inputs by p-value aggregation Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon
Main Conference Track
UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge Chenao Li, Shuo Yan, Enyan Dai
Main Conference Track
MIP against Agent: Malicious Image Patches Hijacking Multimodal OS Agents Lukas Aichberger, Alasdair Paren, Guohao Li, Philip H.S. Torr, Yarin Gal, Adel Bibi
Main Conference Track
Position: If Innovation in AI systematically Violates Fundamental Rights, Is It Innovation at All? Error
Position Paper Track
Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs Insu Lee, Wooje Park, Jaeyun Jang, Minyoung Noh, Kyuhong Shim, Byonghyo Shim
Main Conference Track
Composition and Alignment of Diffusion Models using Constrained Learning Shervin Khalafi, Ignacio Hounie, Dongsheng Ding, Alejandro Ribeiro
Main Conference Track
Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization Alexander Long, Chamin P Hewa Koneputugodage, Thalaiyasingam Ajanthan, Yan Zuo, Gil Avraham, Violetta Shevchenko, Hadi Mohaghegh Dolatabadi, Sameera Ramasinghe
Main Conference Track
Rethinking Fair Federated Learning from Parameter and Client View Kaiqi Guan, Wenke Huang, Xianda Guo, Yueyang Yuan, Bin Yang, Mang Ye
Main Conference Track
Quantum speedup of non-linear Monte Carlo problems Jose Blanchet, Yassine Hamoudi, Mario Szegedy, Guanyang Wang
Main Conference Track
On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection Weiqing He, Xiang Li, Tianqi Shang, Li Shen, Weijie Su, Qi Long
Main Conference Track
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders Gongxu Luo, Haoyue Dai, Longkang Li, Chengqian Gao, Boyang Sun, Kun Zhang
Main Conference Track
SHAP values via sparse Fourier representation Ali Gorji, Andisheh Amrollahi, Andreas Krause
Main Conference Track
Adversarial Robustness of Nonparametric Regression Parsa Moradi, Hanzaleh Nodehi, Mohammad Ali Maddah-Ali
Main Conference Track
Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning Hua Ye, Siyuan Chen, Haoliang Zhang, Weihao Luo, Yanbin Li, Xuan Zhang
Main Conference Track
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data Harsh Poonia, Felix Divo, Kristian Kersting, Devendra Singh Dhami
Main Conference Track
Preference-Based Dynamic Ranking Structure Recognition Nan Lu, Jian Shi, Xinyu Tian
Main Conference Track
Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences Hadi Hosseini, Samarth Khanna, Ronak Singh
Main Conference Track
Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace Dexin Duan, Rui Xu, Peilin Liu, Fei Wen
Main Conference Track
FLAME: Fast Long-context Adaptive Memory for Event-based Vision Biswadeep Chakraborty, Saibal Mukhopadhyay
Main Conference Track
Predictability Enables Parallelization of Nonlinear State Space Models Xavier Gonzalez, Leo Kozachkov, David Zoltowski, Kenneth Clarkson, Scott Linderman
Main Conference Track
Rethinking Approximate Gaussian Inference in Classification Bálint Mucsányi, Nathaël Da Costa, Philipp Hennig
Main Conference Track
Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria Linjian Meng, Youzhi Zhang, Zhenxing Ge, Tianyu Ding, Shangdong Yang, Zheng Xu, Wenbin Li, Yang Gao
Main Conference Track
LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation Gaojian Xiong, Yu Sun, Jianhua Liu, Jian Cui, Jianwei Liu
Main Conference Track
TalkCuts: A Large-Scale Dataset for Multi-Shot Human Speech Video Generation Jiaben Chen, Zixin Wang, AILING ZENG, Yang Fu, Xueyang Yu, Siyuan Cen, Julian Tanke, Yihang Chen, Koichi Saito, Yuki Mitsufuji, Chuang Gan
Datasets and Benchmarks Track
FuncGenFoil: Airfoil Generation and Editing Model in Function Space Jinouwen Zhang, Junjie Ren, Ma Qianhong, Jianyu Wu, Aobo Yang, Yan Lu, Lu Chen, Hairun Xie, Jing Wang, Miao Zhang, Wanli Ouyang, SHIXIANG TANG
Main Conference Track
Fairness-Regularized Online Optimization with Switching Costs Pengfei Li, Yuelin Han, Adam Wierman, Shaolei Ren
Main Conference Track
More effort is needed to protect pedestrian privacy in the era of AI Error
Position Paper Track
AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation Qingqiu Li, Zihang Cui, Seongsu Bae, Jilan Xu, Runtian Yuan, Yuejie Zhang, Rui Feng, Quanli Shen, Xiaobo Zhang, Shang Gao, Junjun He, Shujun Wang
Main Conference Track
ReinAD: Towards Real-world Industrial Anomaly Detection with a Comprehensive Contrastive Dataset Error
Datasets and Benchmarks Track
Scaling Diffusion Transformers Efficiently via $\mu$P Chenyu Zheng, Xinyu Zhang, Rongzhen Wang, Wei Huang, Zhi Tian, Weilin Huang, Jun Zhu, Chongxuan LI
Main Conference Track
Mamba Modulation: On the Length Generalization of Mamba Models Peng Lu, Jerry Huang, QIUHAO Zeng, Xinyu Wang, Boxing Chen, Philippe Langlais, Yufei CUI
Main Conference Track
SteerConf: Steering LLMs for Confidence Elicitation Ziang Zhou, Tianyuan Jin, Jieming Shi, Qing Li
Main Conference Track
ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization Dmitriy Shopkhoev, Ammar Ali, Magauiya Zhussip, Valentin Malykh, Stamatios Lefkimmiatis, Nikos Komodakis, Sergey Zagoruyko
Main Conference Track
Gatekeeper: Improving Model Cascades Through Confidence Tuning Stephan Rabanser, Nathalie Rauschmayr, Achin Kulshrestha, Petra Poklukar, Wittawat Jitkrittum, Sean Augenstein, Congchao Wang, Federico Tombari
Main Conference Track
Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
Main Conference Track
TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models Error
Datasets and Benchmarks Track
Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas, Jifei Song, Jiankang Deng, Gim Hee Lee
Main Conference Track
Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios David A. R. Robin, Killian Bakong, Kevin Scaman
Main Conference Track
Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations Vivek Myers, Bill Zheng, Benjamin Eysenbach, Sergey Levine
Main Conference Track
Towards Identifiability of Hierarchical Temporal Causal Representation Learning Zijian Li, Minghao Fu, Junxian Huang, Yifan Shen, Ruichu Cai, Yuewen Sun, Guangyi Chen, Kun Zhang
Main Conference Track
Scalable Best-of-N Selection for Large Language Models via Self-Certainty Zhewei Kang, Xuandong Zhao, Dawn Song
Main Conference Track
AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning Jingjing Zheng, Wanglong Lu, Yiming Dong, Chaojie Ji, Yankai Cao, Zhouchen Lin
Main Conference Track
UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression Chenlong Deng, Zhisong Zhang, Kelong Mao, Shuaiyi Li, Tianqing Fang, Hongming Zhang, Haitao Mi, Dong Yu, Zhicheng Dou
Main Conference Track
WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks Error
Datasets and Benchmarks Track
Complexity Scaling Laws for Neural Models using Combinatorial Optimization Lowell Weissman, Michael Krumdick, A. Abbott
Main Conference Track
Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random Chunyuan Zheng, Haocheng Yang, Haoxuan Li, Mengyue Yang
Main Conference Track
Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
Main Conference Track
Lifelong Safety Alignment for Language Models Haoyu Wang, Yifei Zhao, Zeyu Qin, Chao Du, Min Lin, Xueqian Wang, Tianyu Pang
Main Conference Track
CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs Sijia Chen, Xiaomin Li, mengxue zhang, Eric Hanchen Jiang, Qingcheng Zeng, Chen-Hsiang Yu
Datasets and Benchmarks Track
Protein Design with Dynamic Protein Vocabulary Nuowei Liu, Jiahao Kuang, Yanting Liu, Tao Ji, Changzhi Sun, Man Lan, Yuanbin Wu
Main Conference Track
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms Zhihai Wang, Zijie Geng, Zhaojie Tu, Jie Wang, Yuxi Qian, Zhexuan Xu, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Bin Li, Feng Wu
Datasets and Benchmarks Track
Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm
Main Conference Track
Learning from A Single Markovian Trajectory: Optimality and Variance Reduction Zhenyu Sun, Ermin Wei
Main Conference Track
Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare Kira Goldner, Taylor Lundy
Main Conference Track
DataRater: Meta-Learned Dataset Curation Dan Andrei Calian, Greg Farquhar, Iurii Kemaev, Luisa Zintgraf, Matteo Hessel, Jeremy Shar, Junhyuk Oh, András György, Tom Schaul, Jeff Dean, Hado P van Hasselt, David Silver
Main Conference Track
BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints Error
Datasets and Benchmarks Track
MathArena: Evaluating LLMs on Uncontaminated Math Competitions Error
Datasets and Benchmarks Track
PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors Hilal Asi, Vitaly Feldman, Hannah Keller, Guy Rothblum, Kunal Talwar
Main Conference Track
Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data Qijia He, Minghan Wang, Xutong Liu, Zhiyong Wang, Fang Kong
Main Conference Track
PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models Lancheng Zou, Shuo Yin, Zehua Pei, Tsung-Yi Ho, Farzan Farnia, Bei Yu
Main Conference Track
Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization Qi Liu, Xinhao Zheng, Renqiu Xia, Qinxiang Cao, Junchi Yan
Main Conference Track
Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors Finn Schmidt, Polina Turishcheva, Suhas Shrinivasan, Fabian H. Sinz
Main Conference Track
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models Yuchen Liang, Renxiang Huang, Lifeng LAI, Ness Shroff, Yingbin Liang
Main Conference Track
DiffBreak: Is Diffusion-Based Purification Robust? Andre Kassis, Urs Hengartner, Yaoliang Yu
Main Conference Track
Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning Ghada Sokar, Pablo Samuel Castro
Main Conference Track
A Circular Argument: Does RoPE need to be Equivariant for Vision? Chase van de Geijn, Timo Lüddecke, Polina Turishcheva, Alexander Ecker
Main Conference Track
Improved Bounds for Swap Multicalibration and Swap Omniprediction Haipeng Luo, Spandan Senapati, Vatsal Sharan
Main Conference Track
Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification Yongxiang Li, Yanglin Feng, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu
Main Conference Track
MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization Da Chang, Ganzhao Yuan
Main Conference Track
Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning Minheng Ni, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Kevin Lin, Wangmeng Zuo, Lijuan Wang
Main Conference Track
Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors Duo Zheng, shijia Huang, Yanyang Li, Liwei Wang
Main Conference Track
Training-free Detection of AI-generated images via Cropping Robustness Sungik Choi, Hankook Lee, Moontae Lee
Main Conference Track
Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks Luca Arnaboldi, Bruno Loureiro, Ludovic Stephan, Florent Krzakala, Lenka Zdeborová
Main Conference Track
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions Kehan Long, Jorge Cortes, Nikolay Atanasov
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AI-Generated Video Detection via Perceptual Straightening Christian Internò, Robert Geirhos, Markus Olhofer, Sunny Liu, Barbara Hammer, David Klindt
Main Conference Track
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning Han Wu, Jie Yin
Main Conference Track
FlashBias: Fast Computation of Attention with Bias Haixu Wu, Minghao Guo, Yuezhou Ma, Yuanxu Sun, Jianmin Wang, Wojciech Matusik, Mingsheng Long
Main Conference Track
Can Class-Priors Help Single-Positive Multi-Label Learning? Biao Liu, Ning Xu, Jie Wang, Xin Geng
Main Conference Track
From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging Tao Liu, Dafeng Zhang, Gengchen Li, Shizhuo Liu, yongqi song, Senmao Li, Shiqi Yang, Boqian Li, Kai Wang, Yaxing Wang
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OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction Jie Yan, Jing Liu, Zhong-Yuan Zhang
Main Conference Track
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection Jiachen Liang, RuiBing Hou, Minyang Hu, Hong Chang, Shiguang Shan, Xilin Chen
Main Conference Track
MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Fan LIU, Zherui Yang, Cancheng Liu, Tianrui Song, Xiaofeng Gao, Hao Liu
Main Conference Track
Streaming Attention Approximation via Discrepancy Theory Ekaterina Kochetkova, Kshiteej Jitesh Sheth, Insu Han, Amir Zandieh, Michael Kapralov
Main Conference Track
Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision Hao Wang, zhengnan li, Zhichao Chen, Xu Chen, Shuting He, Guangyi Liu, Haoxuan Li, Zhouchen Lin
Main Conference Track
CAMILA: Context-Aware Masking for Image Editing with Language Alignment Hyunseung Kim, Chiho Choi, Srikanth Malla, Sai Padmanabhan, Saurabh Bagchi, Joon Hee Choi
Main Conference Track
State Entropy Regularization for Robust Reinforcement Learning Yonatan Ashlag, Uri Koren, Mirco Mutti, Esther Derman, Pierre-Luc Bacon, Shie Mannor
Main Conference Track
KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing Wudi Chen, Zhiyuan Zha, Shigang Wang, Bihan Wen, Xin Yuan, Jiantao Zhou, zipei fan, Gang Yan, Ce Zhu
Main Conference Track
A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias WEI-KAI CHANG, Rajiv Khanna
Main Conference Track
Online Multi-Class Selection with Group Fairness Guarantee Faraz Zargari, Hossein Jazi, Lyndon Hallett, Bo Sun, Xiaoqi Tan
Main Conference Track
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning Yong Liu, Zirui Zhu, Chaoyu Gong, Minhao Cheng, Cho-Jui Hsieh, Yang You
Main Conference Track
VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation Error
Datasets and Benchmarks Track
Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness Thomas Pethick, Wanyun Xie, Mete Erdogan, Kimon Antonakopoulos, Antonio Silveti-Falls, Volkan Cevher
Main Conference Track
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values R. Teal Witter, Yurong Liu, Christopher Musco
Main Conference Track
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective Ning Zhang, Henry Kenlay, Li Zhang, Mihai Cucuringu, Xiaowen Dong
Main Conference Track
One Filters All: A Generalist Filter For State Estimation Shiqi Liu, Wenhan Cao, Chang Liu, Zeyu He, Tianyi Zhang, Yinuo Wang, Shengbo Eben Li
Main Conference Track
Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams Donghao Sun, Xi Wang, Xu Yang, Kun Wei, Cheng Deng
Main Conference Track
Web-Scale Collection of Video Data for 4D Animal Reconstruction Error
Datasets and Benchmarks Track
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data Maximilian Forstenhäusler, Daniel Külzer, Christos Anagnostopoulos, Shameem Puthiya Parambath, Natascha Weber
Main Conference Track
Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data Ishika Agarwal, Dilek Hakkani-Tur
Main Conference Track
Distribution Learning Meets Graph Structure Sampling Arnab Bhattacharyya, Sutanu Gayen, Philips George John, Sayantan Sen, N. V. Vinodchandran
Main Conference Track
BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem Error
Datasets and Benchmarks Track
Enhancing Contrastive Learning with Variable Similarity Haowen Cui, Shuo Chen, Jun Li, Jian Yang
Main Conference Track
RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers Ahmet Berke Gökmen, Yiğit Ekin, Bahri Batuhan Bilecen, Aysegul Dundar
Main Conference Track
Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization Jiaqi Wei, Hao Zhou, Xiang Zhang, Di Zhang, Zijie Qiu, Noah Wei, Jinzhe Li, Wanli Ouyang, Siqi Sun
Main Conference Track
LinPrim: Linear Primitives for Differentiable Volumetric Rendering Nicolas von Lützow, Matthias Niessner
Main Conference Track
Continuous Thought Machines Luke Darlow, Ciaran Regan, Sebastian Risi, Jeffrey Seely, Llion Jones
Main Conference Track
TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration Yuwei Du, Jie Feng, Jie Zhao, Yong Li
Main Conference Track
Neural Entropy Akhil Premkumar
Main Conference Track
ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation Ziyuan Luo, Yangyi Zhao, Ka Chun Cheung, Simon See, Renjie Wan
Main Conference Track
Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning Haolin Yang, Hakaze Cho, Yiqiao Zhong, Naoya Inoue
Main Conference Track
Robo2VLM: Improving Visual Question Answering using Large-Scale Robot Manipulation Data Error
Datasets and Benchmarks Track
Unveiling Transformer Perception by Exploring Input Manifolds Alessandro Benfenati, Alfio Ferrara, Alessio Marta, Davide Riva, Elisabetta Rocchetti
Main Conference Track
TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model Yichen Liu, Yan Lin, Shengnan Guo, Zeyu Zhou, Youfang Lin, Huaiyu Wan
Main Conference Track
Approximate Domain Unlearning for Vision-Language Models Kodai Kawamura, Yuta Goto, Rintaro Yanagi, Hirokatsu Kataoka, Go Irie
Main Conference Track
OmniTalker: One-shot Real-time Text-Driven Talking Audio-Video Generation With Multimodal Style Mimicking Zhongjian Wang, Peng Zhang, Jinwei Qi, wang yuan, Sheng Xu, Bang Zhang
Main Conference Track
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter, Andreas Krause
Main Conference Track
Alchemist: Turning Public Text-to-Image Data into Generative Gold Error
Datasets and Benchmarks Track
Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning Hugues Van Assel, Mark Ibrahim, Tommaso Biancalani, Aviv Regev, Randall Balestriero
Main Conference Track
Many LLMs Are More Utilitarian Than One Anita Keshmirian, Razan Baltaji, Babak Hemmatian, Hadi Asghari, Lav R. Varshney
Main Conference Track
Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling Ruoyu Wang, Beier Zhu, Junzhi Li, Liangyu Yuan, Chi Zhang
Main Conference Track
Bridging Expressivity and Scalability with Adaptive Unitary SSMs Arjun Karuvally, Franz Nowak, Andy Keller, Carmen Amo Alonso, Terrence J. Sejnowski, Hava T. Siegelmann
Main Conference Track
MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations Error
Datasets and Benchmarks Track
EchoShot: Multi-Shot Portrait Video Generation Jiahao Wang, Hualian Sheng, Sijia Cai, Weizhan Zhang, Caixia Yan, Yachuang Feng, Bing Deng, Jieping Ye
Main Conference Track
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning Ruilin Tong, Haodong Lu, Yuhang Liu, Dong Gong
Main Conference Track
Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions Weixin An, Yuanyuan Liu, Fanhua Shang, Han Yu, Junkang Liu, Hongying Liu
Main Conference Track
VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation Sicheng Yang, Zhaohu Xing, Lei Zhu
Main Conference Track
Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models Lei Liu, Xingyu Xia, Qianqian Xie, Ben Liu, Wenjie Xu, Min Peng
Main Conference Track
High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search Xilin Xia, Jie Wang, Wanbo Zhang, Zhihai Wang, Mingxuan Yuan, Jianye Hao, Feng Wu
Main Conference Track
Parallelizing MCMC Across the Sequence Length David Zoltowski, Skyler Wu, Xavier Gonzalez, Leo Kozachkov, Scott Linderman
Main Conference Track
Approximating Shapley Explanations in Reinforcement Learning Daniel Beechey, Ozgur Simsek
Main Conference Track
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, Ponnuthurai Suganthan, Xudong Jiang, Savitha Ramasamy
Main Conference Track
HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling Ningyi Liao, Zihao Yu, Siqiang Luo, Gao Cong
Main Conference Track
Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance? Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh, Reza Pourreza, Litian Liu, Sunny Panchal, Leonid Sigal, Roland Memisevic
Main Conference Track
Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration Zhitao Zeng, Guojian Yuan, Junyuan Mao, Yuxuan Wang, Xiaoshuang Jia, Yueming Jin
Main Conference Track
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation Jeongin Kim, Wonho Bae, YouLee Han, Giyeong Oh, Youngjae Yu, Danica J. Sutherland, Junhyug Noh
Main Conference Track
From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers Praneet Suresh, Jack Stanley, Sonia Joseph, Luca Scimeca, Danilo Bzdok
Main Conference Track
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference Yuhong Luo, Austin Hoag, Xintong Wang, Philip S. Thomas, Przemyslaw Grabowicz
Main Conference Track
REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects Yassine El Ouahidi, Jonathan Lys, Philipp Thölke, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon, Karim Jerbi, Giulia Lioi
Main Conference Track
SpEx: A Spectral Approach to Explainable Clustering Tal Argov, Tal Wagner
Main Conference Track
Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve Jingxuan Wang, Zhongke Wu, Wang, Zhang Zeyao, Chunhao Zheng, Di Wang
Main Conference Track
vHector and HeisenVec: Scalable Vector Graphics Generation Through Large Language Models Error
Datasets and Benchmarks Track
Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding Zaiquan Yang, Yuhao LIU, Gerhard Hancke, Rynson Lau
Main Conference Track
LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders Boyu Han, Qianqian Xu, Shilong Bao, Zhiyong Yang, Kangli Zi, Qingming Huang
Main Conference Track
LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding Shen Zhang, Siyuan Liang, Yaning Tan, Zhaowei Chen, Linze Li, Ge Wu, Yuhao Chen, Shuheng Li, Zhenyu Zhao, Caihua Chen, Jiajun Liang, Yao Tang
Main Conference Track
Visual Sync: Multi‑Camera Synchronization via Cross‑View Object Motion Shaowei Liu, David Yao, Saurabh Gupta, Shenlong Wang
Main Conference Track
Federated Continual Learning via Orchestrating Multi-Scale Expertise Xiaoyang Yi, Yang Liu, Binhan Yang, Jian Jun Zhang
Main Conference Track
Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning Wenjun Huang, Ziteng Cui, Yinqiang Zheng, Yirui He, Tatsuya Harada, Mohsen Imani
Main Conference Track
SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater Hanwen Liu, Longjiao Zhang, Rui Wang, Tongya Zheng, Sai Wu, Chang Yao, Mingli Song
Main Conference Track
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models Error
Datasets and Benchmarks Track
CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection Zhichao Sun, Huazhang Hu, Yidong Ma, Gang Liu, Yibo Chen, Xu Tang, Yao Hu, Yongchao Xu
Main Conference Track
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection Chiara Cappellino, Gianluca Mancusi, Matteo Mosconi, Angelo Porrello, SIMONE CALDERARA, Rita Cucchiara
Main Conference Track
Efficient Rectified Flow for Image Fusion Zirui Wang, Jiayi Zhang, Tianwei Guan, Yuhan Zhou, Xingyuan Li, Minjing Dong, Jinyuan Liu
Main Conference Track
Depth-Width Tradeoffs for Transformers on Graph Tasks Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher, Orr Fischer, Ran Gilad-Bachrach, Amir Globerson
Main Conference Track
Probing Hidden Knowledge Holes in Unlearned LLMs Myeongseob Ko, Hoang Anh Just, Charles Fleming, Ming Jin, Ruoxi Jia
Main Conference Track
Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization Tan Pan, Kaiyu Guo, Dongli Xu, Zhaorui Tan, Chen Jiang, Deshu Chen, Xin Guo, Brian Lovell, LIMEI HAN, Yuan Cheng, Mahsa Baktashmotlagh
Main Conference Track
A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation Qichao Cao, Shangzhi Zeng, Jin Zhang
Main Conference Track
Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits Xuheng Li, Quanquan Gu
Main Conference Track
Minimizing False-Positive Attributions in Explanations of Non-Linear Models Anders Gjølbye, Stefan Haufe, Lars Kai Hansen
Main Conference Track
FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization Xunzhao Yu
Main Conference Track
Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression Xiaohui Wang, Peng Ye, Chenyu Huang, Shenghe Zheng, Bo Zhang, LEI BAI, Wanli Ouyang, Tao Chen
Main Conference Track
Mitigating Semantic Collapse in Partially Relevant Video Retrieval WonJun Moon, MinSeok Jung, Gilhan Park, Tae-Young Kim, Cheol-Ho Cho, Woojin Jun, Jae-Pil Heo
Main Conference Track
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining Raghuveer Thirukovalluru, Rui Meng, Ye Liu, Karthikeyan K, Mingyi Su, Ping Nie, Semih Yavuz, Yingbo Zhou, Wenhu Chen, Bhuwan Dhingra
Main Conference Track
Asymptotic theory of SGD with a general learning-rate Or Goldreich, Ziyang Wei, SOHAM BONNERJEE, Jiaqi Li, Wei Biao Wu
Main Conference Track
LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search Pengyi Li, Hongyao Tang, Jinbin Qiao, YAN ZHENG, Jianye Hao
Main Conference Track
Native Segmentation Vision Transformers Guillem Brasó, Aljosa Osep, Laura Leal-Taixé
Main Conference Track
SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents Error
Datasets and Benchmarks Track
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang
Main Conference Track
Regression Trees Know Calculus Nathan Wycoff
Main Conference Track
GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms Error
Datasets and Benchmarks Track
A Counterfactual Semantics for Hybrid Dynamical Systems Andy Zane, Dmitry Batenkov, Rafal Urbaniak, Jeremy Zucker, Sam Witty
Main Conference Track
Optimizing Anytime Reasoning via Budget Relative Policy Optimization Penghui Qi, Zichen Liu, Tianyu Pang, Chao Du, Wee Sun Lee, Min Lin
Main Conference Track
Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation Nanxu Gong, Zijun Li, Sixun Dong, Haoyue Bai, Wangyang Ying, Xinyuan Wang, Yanjie Fu
Main Conference Track
PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi, Triantafyllos Afouras, Tushar Nagarajan, Muhammad Maaz, Yale Song, Tengyu Ma, Shuming Hu, Suyog Jain, Miguel Martin, Huiyu Wang, Hanoona Bangalath, Peize Sun, Po-Yao Huang, Daniel Bolya, Nikhila Ravi, Shashank Jain, Tammy Stark, Seungwhan Moon, Babak Damavandi, Vivian Lee, Andrew Westbury, Salman H Khan, Philipp Kraehenbuehl, Piotr Dollar, Lorenzo Torresani, Kristen Grauman, Christoph Feichtenhofer
Main Conference Track
Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs Yifan Zhou, Sachin Grover, Mohamed El Mistiri, Kamalesh Kalirathinam, Pratyush Kerhalkar, Swaroop Mishra, Neelesh Kumar, Sanket Gaurav, Oya Aran, Heni Ben Amor
Main Conference Track
E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products Yunyang Li, Lin Huang, Zhihao Ding, Xinran Wei, Chu Wang, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Tao Qin, Mark Gerstein, Jia Zhang
Main Conference Track
POCO: Scalable Neural Forecasting through Population Conditioning Yu Duan, Hamza Chaudhry, Misha B Ahrens, Christopher Harvey, Matthew G Perich, Karl Deisseroth, Kanaka Rajan
Main Conference Track
How Patterns Dictate Learnability in Sequential Data Mario Morawski, Anaïs Després, Remi Rehm
Main Conference Track
Spark Transformer: Reactivating Sparsity in Transformer FFN and Attention Chong You, Kan Wu, Zhipeng Jia, Lin Chen, Srinadh Bhojanapalli, Jiaxian Guo, Utku Evci, Jan Wassenberg, Praneeth Netrapalli, Jeremiah Willcock, Suvinay Subramanian, Felix Chern, Alek Andreev, Shreya Pathak, Felix Yu, Prateek Jain, David Culler, Henry Levy, Sanjiv Kumar
Main Conference Track
FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks Luca Della Libera, Francesco Paissan, Cem Subakan, Mirco Ravanelli
Main Conference Track
Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations Ansong Ni, Ruta Desai, Yang Li, Xinjie Lei, Dong Wang, Jiemin Zhang, Jane Yu, Ramya Raghavendra, Gargi Ghosh, Shang-Wen Li, Asli Celikyilmaz
Main Conference Track
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction Niklas Freymuth, Tobias Würth, Nicolas Schreiber, Balázs Gyenes, Andreas Boltres, Johannes Mitsch, Aleksandar Taranovic, Tai Hoang, Philipp Dahlinger, Philipp Becker, Luise Kärger, Gerhard Neumann
Main Conference Track
DoseSurv: Predicting Personalized Survival Outcomes under Continuous-Valued Treatments Moritz Gögl, Yu Liu, Christopher Yau, Peter Watkinson, Tingting Zhu
Main Conference Track
Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies Felix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan John de Kock, Juan Formanek, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Simon Du Toit, Louay Nessir, Refiloe Shabe, Arnol Fokam, Siddarth Singh, Ulrich Armel Mbou Sob, Arnu Pretorius
Main Conference Track
Fourier Token Merging: Understanding and Capitalizing Frequency Domain for Efficient Image Generation Jiesong Liu, Xipeng Shen
Main Conference Track
Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks Ashley Kurian, Aydin Aysu
Main Conference Track
Introducing FOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark Error
Datasets and Benchmarks Track
MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning Yuchen Xia, Yunjian Xu
Main Conference Track
Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning Xueqi Ma, Jun Wang, Yanbei Jiang, Sarah Erfani, Tongliang Liu, James Bailey
Main Conference Track
Prompt Tuning Transformers for Data Memorization Haiyu Wang, Yuanyuan Lin
Main Conference Track
Robust Ego-Exo Correspondence with Long-Term Memory Yijun Hu, Bing Fan, Xin Gu, 海青任, Dongfang Liu, Heng Fan, Libo Zhang
Main Conference Track
Squared families are useful conjugate priors Russell Tsuchida, Jiawei Liu, Cheng Soon Ong, Dino Sejdinovic
Main Conference Track
ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking Lequan Lin, Dai Shi, Andi Han, Feng Chen, Qiuzheng Chen, Jiawen Li, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Junbin Gao
Main Conference Track
Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction Samuel Li, Pujith Kachana, Prajwal Chidananda, Saurabh Nair, Yasutaka Furukawa, Matthew A Brown
Main Conference Track
Computational Budget Should Be Considered in Data Selection Weilin Wan, Weizhong Zhang, Cheng Jin
Main Conference Track
Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis Tianbao Xie, Jiaqi Deng, Xiaochuan Li, Junlin Yang, Haoyuan Wu, Jixuan Chen, Wenjing Hu, Xinyuan Wang, Yuhui Xu, Zekun Wang, Yiheng Xu, Junli Wang, Doyen Sahoo, Tao Yu, Caiming Xiong
Datasets and Benchmarks Track
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge Wenyao Zhang, Hongsi Liu, Zekun Qi, Yunnan Wang, XinQiang Yu, Jiazhao Zhang, Runpei Dong, Jiawei He, He Wang, Zhizheng Zhang, Li Yi, Wenjun Zeng, Xin Jin
Main Conference Track
Efficient Quadratic Corrections for Frank-Wolfe Algorithms Jannis Halbey, Seta Rakotomandimby, Mathieu Besançon, Sébastien Designolle, Sebastian Pokutta
Main Conference Track
Protein Inverse Folding From Structure Feedback Junde Xu, Zijun Gao, Xinyi Zhou, hujie, Xingyi Cheng, Le Song, Guangyong Chen, Pheng-Ann Heng, Jiezhong Qiu
Main Conference Track
Learning Generalizable Shape Completion with SIM(3) Equivariance Yuqing Wang, Zhaiyu Chen, Xiaoxiang Zhu
Main Conference Track
Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning Ezgi Korkmaz
Main Conference Track
Spectral Analysis of Representational Similarity with Limited Neurons Hyunmo Kang, Abdulkadir Canatar, SueYeon Chung
Main Conference Track
Elastic ViTs from Pretrained Models without Retraining Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort, Cees G. M. Snoek, Yuki Asano
Main Conference Track
Theoretical Benefit and Limitation of Diffusion Language Model Guhao Feng, Yihan Geng, Jian Guan, Wei Wu, Liwei Wang, Di He
Main Conference Track
Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models Michael Plainer, Hao Wu, Leon Klein, Stephan Günnemann, Frank Noe
Main Conference Track
KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis Jeongho Park, Daheen Kim, Cheoljun Kim, Hyungbin Park, Sangwook Kang, Gwangsu Kim
Main Conference Track
Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling Inguk Choi, Woo-Jin Shin, Sang-Hyun Cho, Hyun-Jung Kim
Main Conference Track
SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation Wenyi Yu, Siyin Wang, Xiaoyu Yang, Xianzhao Chen, Xiaohai Tian, Jun Zhang, Guangzhi Sun, Lu Lu, Yuxuan Wang, Chao Zhang
Main Conference Track
Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning Nic Fishman, Gokul Gowri, Peng Yin, Jonathan Gootenberg, Omar Abudayyeh
Main Conference Track
Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon Tongtong Liang, Dan Qiao, Yu-Xiang Wang, Rahul Parhi
Main Conference Track
Mixture-of-Experts Meets In-Context Reinforcement Learning Wenhao Wu, Fuhong Liu, Haoru Li, Zican Hu, Daoyi Dong, Chunlin Chen, Zhi Wang
Main Conference Track
Can Large Language Models Master Complex Card Games? Wei Wang, Fuqing Bie, Junzhe Chen, Dan Zhang, Shiyu Huang, Evgeny Kharlamov, Jie Tang
Main Conference Track
CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision Awni Altabaa, Omar Montasser, John D. Lafferty
Main Conference Track
One for All: Universal Topological Primitive Transfer for Graph Structure Learning Yide Qiu, Tong Zhang, Xing Cai, Hui Yan, Zhen Cui
Main Conference Track
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections Wei Zhuo, Zhaohuan Zhan, Han Yu
Main Conference Track
Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning Yiju Guo, Wenkai Yang, Zexu Sun, Ning Ding, Zhiyuan Liu, Yankai Lin
Main Conference Track
Sekai: A Video Dataset towards World Exploration Zhen Li, Chuanhao Li, Xiaofeng Mao, Shaoheng Lin, Ming Li, Shitian Zhao, Zhaopan Xu, Xinyue Li, Yukang Feng, Jianwen Sun, Zizhen Li, Fanrui Zhang, Jiaxin Ai, Zhixiang Wang, Yuwei Wu, Tong He, Yunde Jia, Kaipeng Zhang
Datasets and Benchmarks Track
Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty Xu Wan, Chao Yang, Cheng Yang, Jie Song, Mingyang Sun
Main Conference Track
Oracle-Efficient Combinatorial Semi-Bandits Jung-hun Kim, Milan Vojnovic, Min-hwan Oh
Main Conference Track
CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization Irene Wang, Mostafa Elhoushi, H Ekin Sumbul, Samuel Hsia, Daniel Jiang, Newsha Ardalani, Divya Mahajan, Carole-Jean Wu, Bilge Acun
Main Conference Track
Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection Anay Majee, Amitesh Gangrade, Rishabh Iyer
Main Conference Track
NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding Wei Xu, Cheng Wang, Dingkang Liang, Zongchuang Zhao, Xingyu Jiang, Peng Zhang, Xiang Bai
Main Conference Track
HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization Zhijian Zhuo, Yutao Zeng, Ya Wang, Sijun Zhang, Xiaoqing Li, Jian Yang, zhou Xun, Jinwen Ma
Main Conference Track
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao, Xiaoying Tang, Jicong Fan
Main Conference Track
Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents Error
Datasets and Benchmarks Track
AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise Dhruv Agarwal, Bodhisattwa Prasad Majumder, Reece Adamson, Megha Chakravorty, Satvika Reddy Gavireddy, Aditya Parashar, Harshit Surana, Bhavana Dalvi Mishra, Andrew McCallum, Ashish Sabharwal, Peter Clark
Main Conference Track
Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings Aditya Sengar, Ali Hariri, Daniel Probst, PATRICK BARTH, Pierre Vandergheynst
Main Conference Track
Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation Yiyuan Pan, Yunzhe XU, Zhe Liu, Hesheng Wang
Main Conference Track
Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting Zinan Zheng, Yang Liu, Jia Li
Main Conference Track
Backdoor Cleaning without External Guidance in MLLM Fine-tuning Xuankun Rong, Wenke Huang, Jian Liang, Jinhe Bi, Xun Xiao, Yiming Li, Bo Du, Mang Ye
Main Conference Track
Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs Zhehao Li, Kangbo Lyu, Yixuan Li, Tao Du, Ligang Liu
Main Conference Track
Deployment Efficient Reward-Free Exploration with Linear Function Approximation Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon S Du, Lin F. Yang, Ruosong Wang
Main Conference Track
SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference Jiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Cheng Xiang, Tong Heng LEE
Main Conference Track
Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs Qizhe Zhang, Mengzhen Liu, Lichen Li, Ming Lu, Yuan Zhang, Junwen Pan, Qi She, Shanghang Zhang
Main Conference Track
A Temporal Difference Method for Stochastic Continuous Dynamics Haruki Settai, Naoya Takeishi, Takehisa Yairi
Main Conference Track
Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT Jiaheng Zhou, Wei Fang, Luyuan Xie, Yanfeng Zhou, Lianyan Xu, Minfeng Xu, Ge Yang, Yuxing Tang
Main Conference Track
A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning Qingyue Zhang, Haohao Fu, Guanbo Huang, Yaoyuan Liang, Chang Chu, Tianren Peng, Yanru Wu, Qi Li, Yang Li, Shao-Lun Huang
Main Conference Track
HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class James Roggeveen, Erik Wang, David Ettel, Will Flintoft, Peter Donets, Raglan Ward, Ahmed Roman, Anton Graf, Siddharth Dandavate, Ava Williamson, Felix Yeung, Kacper Migacz, Yijun Wang, Egemen Bostan, Duy Thuc Nguyen, Zhe He, Marc Descoteaux, Anne Mykland, Shida Liu, Jorge Garcia Ponce, Luke Zhu, Yuyang Chen, Ekaterina Ivshina, Miguel Fernandez, Minjae Kim, Kennan Gumbs, Matthew Tan, Russell Yang, Mai Hoang, David Brown, Isabella Silveira, Lavon Sykes, Arjun Nageswaran, William Fredenberg, Yiming Chen, Lucas Martin, Yixing Tang, Kelly Smith, Hongyu Liao, Logan Wilson, Alexander D. Cai, Lucy Nathwani, Nickholas Gutierrez, Andrea Elizabeth Biju, Michael Brenner
Datasets and Benchmarks Track
Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems Minchan Jeong, Jongha (Jon) Ryu, Se-Young Yun, Gregory Wornell
Main Conference Track
PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions Error
Datasets and Benchmarks Track
Towards Self-Refinement of Vision-Language Models with Triangular Consistency Yunlong Deng, Guangyi Chen, Tianpei Gu, Lingjing Kong, Yan Li, Zeyu Tang, Kun Zhang
Main Conference Track
The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation Sara Ahmadian, Edith Cohen, Uri Stemmer
Main Conference Track
VideoLucy: Deep Memory Backtracking for Long Video Understanding Jialong Zuo, Yongtai Deng, Lingdong Kong, Jingkang Yang, Rui Jin, Yiwei Zhang, Nong Sang, Liang Pan, Ziwei Liu, Changxin Gao
Main Conference Track
Nemotron-CLIMB: Clustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training Shizhe Diao, Yu Yang, Yonggan Fu, Xin Dong, Dan SU, Markus Kliegl, ZIJIA CHEN, Peter Belcak, Yoshi Suhara, Hongxu Yin, Mostofa Patwary, Yingyan (Celine) Lin, Jan Kautz, Pavlo Molchanov
Datasets and Benchmarks Track
NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering Zhihao Huang, Xi Qiu, Yukuo Ma, Yifu Zhou, Junjie Chen, Hongyuan Zhang, Chi Zhang, Xuelong Li
Main Conference Track
JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics Yuanchuan Guo, Jun Liu, Huimin Cheng, Ying Ma
Main Conference Track
OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data Hao Luo, Zihao Yue, Wanpeng Zhang, Yicheng Feng, Sipeng Zheng, Deheng Ye, Zongqing Lu
Main Conference Track
RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models Yiqi Tian, Pengfei Jin, Mingze Yuan, Na Li, Bo Zeng, Quanzheng Li
Main Conference Track
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy L Orsborn, Uygar Sümbül, Eli Shlizerman
Main Conference Track
WhAM: Towards A Translative Model of Sperm Whale Vocalization Orr Paradise, Liangyuan Chen, Pranav Muralikrishnan, Hugo Flores, Bryan Pardo, Roee Diamant, David Gruber, Shane Gero, Shafi Goldwasser
Main Conference Track
MMPB: It’s Time for Multi-Modal Personalization Error
Datasets and Benchmarks Track
Towards Provable Emergence of In-Context Reinforcement Learning Jiuqi Wang, Rohan Chandra, Shangtong Zhang
Main Conference Track
Planning with Quantized Opponent Models XiaoPeng Yu, Kefan Su, Zongqing Lu
Main Conference Track
JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models Jiaxin Song, Yixu Wang, Jie Li, Xuan Tong, rui yu, Yan Teng, Xingjun Ma, Yingchun Wang
Main Conference Track
Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? Paul Gölz, Nika Haghtalab, Kunhe Yang
Main Conference Track
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning Yixiu Mao, Yun Qu, Qi (Cheems) Wang, Xiangyang Ji
Main Conference Track
On scalable and efficient training of diffusion samplers Minkyu Kim, Kiyoung Seong, Dongyeop Woo, Sungsoo Ahn, Minsu Kim
Main Conference Track
A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems Gokul Rajaraman, Debasish Chatterjee
Main Conference Track
Bandit and Delayed Feedback in Online Structured Prediction Yuki Shibukawa, Taira Tsuchiya, Shinsaku Sakaue, Kenji Yamanishi
Main Conference Track
MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems Xuanming Zhang, Yuxuan Chen, Samuel (Min-Hsuan) Yeh, Sharon Li
Main Conference Track
Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations Gaia Di Lorenzo, Federico Tombari, Marc Pollefeys, Daniel Barath
Main Conference Track
Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment Xiao Fei, Michail Chatzianastasis, Sarah Carneiro, Hadi Abdine, Lawrence Petalidis, Michalis Vazirgiannis
Main Conference Track
FRN: Fractal-Based Recursive Spectral Reconstruction Network Ge Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang, Xinghao Ding
Main Conference Track
AutoOpt: A Dataset and a Unified Framework for Automating Optimization Problem Solving Error
Datasets and Benchmarks Track
EgoBlind: Towards Egocentric Visual Assistance for the Blind Junbin Xiao, Nanxin Huang, Hao Qiu, Zhulin Tao, Xun Yang, Richang Hong, Meng Wang, Angela Yao
Datasets and Benchmarks Track
A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning Zechen Wu, Amy Greenwald, Ronald E Parr
Main Conference Track
Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning Baiyuan Chen, Shinji Ito, Masaaki Imaizumi
Main Conference Track
Mixture of Inputs: Text Generation Beyond Discrete Token Sampling Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
Main Conference Track
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking Soyoung Yoon, Gyuwan Kim, Gyu-Hwung Cho, seung-won hwang
Main Conference Track
Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation Riccardo Corvi, Davide Cozzolino, Ekta Prashnani, Shalini De Mello, Koki Nagano, Luisa Verdoliva
Main Conference Track
Scalable inference of functional neural connectivity at submillisecond timescales Arina Medvedeva, Edoardo Balzani, Alex H Williams, Stephen Keeley
Main Conference Track
Boosting Adversarial Transferability with Spatial Adversarial Alignment Zhaoyu Chen, HaiJing Guo, Kaixun Jiang, Jiyuan Fu, Xinyu Zhou, Dingkang Yang, Hao Tang, Bo Li, Wenqiang Zhang
Main Conference Track
Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means Anna van Elst, Igor Colin, Stephan Clémençon
Main Conference Track
Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks Andrea Montanari, Pierfrancesco Urbani
Main Conference Track
PoE-World: Compositional World Modeling with Products of Programmatic Experts Top Piriyakulkij, Yichao Liang, Hao Tang, Adrian Weller, Marta Kryven, Kevin Ellis
Main Conference Track
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models Bosong Huang, Ming Jin, Yuxuan Liang, Johan Barthelemy, Debo Cheng, Qingsong Wen, Chenghao Liu, Shirui Pan
Main Conference Track
A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits Guo Zeng, Jean Honorio
Main Conference Track
STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization Diqi He, Xuehao Gao, Hao Li, Junwei Han, Dingwen Zhang
Main Conference Track
The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples Hsiang Hsu, Pradeep Niroula, Zichang He, Ivan Brugere, Freddy Lecue, Richard Chen
Main Conference Track
ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs Jiaru Zou, Ling Yang, Jingwen Gu, Jiahao Qiu, Ke Shen, Jingrui He, Mengdi Wang
Main Conference Track
PARROT: A Benchmark for Evaluating LLMs in Cross-System SQL Translation Wei Zhou, Guoliang Li, Haoyu Wang, Yuxing Han, Xufei Wu, Fan Wu, Xuanhe Zhou
Datasets and Benchmarks Track
Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing Eunbyeol Cho, Jiyoun Kim, Minjae Lee, Sungjin Park, Edward Choi
Main Conference Track
Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Ozlem Ozmen Garibay
Main Conference Track
From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes Tianxu Wang, Zhuofan Zhang, Ziyu Zhu, Yue Fan, Jing Xiong, Pengxiang Li, Xiaojian (Shawn) Ma, Qing Li
Datasets and Benchmarks Track
Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity Error
Datasets and Benchmarks Track
Preserving Task-Relevant Information Under Linear Concept Removal Floris Holstege, Shauli Ravfogel, Bram Wouters
Main Conference Track
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model Dongki Kim, Wonbin Lee, Sung Ju Hwang
Main Conference Track
PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs Seungyoo Lee, Giung Nam, Moonseok Choi, Hyungi Lee, Juho Lee
Main Conference Track
DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding Yue Jiang, Jichu Li, Yang Liu, Dingkang Yang, Feng Zhou, Quyu Kong
Datasets and Benchmarks Track
The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training Weize Chen, Jiarui yuan, Jin Tailin, Ning Ding, Huimin Chen, Zhiyuan Liu, Maosong Sun
Main Conference Track
Robust LLM Alignment via Distributionally Robust Direct Preference Optimization Zaiyan Xu, Sushil Vemuri, Kishan Panaganti, Dileep Kalathil, Rahul Jain, Deepak Ramachandran
Main Conference Track
Emergence of Linear Truth Encodings in Language Models Shauli Ravfogel, Gilad Yehudai, Tal Linzen, Joan Bruna, Alberto Bietti
Main Conference Track
Efficient Part-level 3D Object Generation via Dual Volume Packing Jiaxiang Tang, Ruijie Lu, Max Li, Zekun Hao, Xuan Li, Fangyin Wei, Shuran Song, Gang Zeng, Ming-Yu Liu, Tsung-Yi Lin
Main Conference Track
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Haiduo Huang, Jiangcheng Song, Yadong Zhang, Pengju Ren
Main Conference Track
Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates Andrew Lowy, Daogao Liu
Main Conference Track
Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation Lucas Morisset, Adrien Hardy, Alain Durmus
Main Conference Track
Training-Free Constrained Generation With Stable Diffusion Models Stefano Zampini, Jacob K Christopher, Luca Oneto, Davide Anguita, Ferdinando Fioretto
Main Conference Track
Imitation Beyond Expectation Using Pluralistic Stochastic Dominance Ali Farajzadeh, Danyal Saeed, Syed M Abbas, Rushit Shah, Aadirupa Saha, Brian D. Ziebart
Main Conference Track
Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
Main Conference Track
Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals Stefan Stojanov, David Wendt, Seungwoo Kim, Rahul Venkatesh, Kevin Feigelis, Klemen Kotar, Khai Loong Aw, Jiajun Wu, Daniel L Yamins
Main Conference Track
Private Training Large-scale Models with Efficient DP-SGD Liangyu Wang, Junxiao Wang, Jie Ren, Zihang Xiang, David Keyes, Di Wang
Main Conference Track
C-SEO Bench: Does Conversational SEO Work? Error
Datasets and Benchmarks Track
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Yinqi Li, Jiahe Zhao, Hong Chang, RuiBing Hou, Shiguang Shan, Xilin Chen
Main Conference Track
MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis Mengxi Xiao, Ben Liu, He Li, Jimin Huang, Qianqian Xie, Xiaofen Zong, Mang Ye, Min Peng
Main Conference Track
Vision Function Layer in Multimodal LLMs Cheng Shi, Yizhou Yu, Sibei Yang
Main Conference Track
Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference Eray Erturk, Maryam M. Shanechi
Main Conference Track
The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Error
Datasets and Benchmarks Track
Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search Yimin Jiang, Huibing Wang, Jinjia peng
Main Conference Track
Large language models can learn and generalize steganographic chain-of-thought under process supervision ROBERT MC CARTHY, Joey SKAF, Luis Ibanez-Lissen, Vasil Georgiev, Connor Watts, Hannes Whittingham, Lorena Gonzalez-Manzano, Cameron Tice, Edward Young, Puria Radmard, David Lindner
Main Conference Track
Aligning Text-to-Image Diffusion Models to Human Preference by Classification Longquan Dai, Xiaolu Wei, wang he, Shaomeng Wang, Jinhui Tang
Main Conference Track
Conditional Panoramic Image Generation via Masked Autoregressive Modeling Chaoyang Wang, Xiangtai Li, Lu Qi, Xiaofan Lin, Jinbin Bai, Qianyu Zhou, Yunhai Tong
Main Conference Track
SATURN: SAT-based Reinforcement Learning to Unleash LLMs Reasoning Huanyu Liu, Ge Li, Jia Li, Hao Zhu, Kechi Zhang, Yihong Dong
Main Conference Track
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval Error
Datasets and Benchmarks Track
E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis Zhisheng Zhang, Derui Wang, Yifan Mi, Zhiyong Wu, Jie Gao, Yuxin Cao, Kai Ye, Minhui Xue, Jie Hao
Main Conference Track
DBLoss: Decomposition-based Loss Function for Time Series Forecasting Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang
Main Conference Track
FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency Yifei Su, Ning Liu, Dong Chen, Zhen Zhao, Kun Wu, Meng Li, Zhiyuan Xu, Zhengping Che, Jian Tang
Main Conference Track
IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Ronald Clark, Ming-Hsuan Yang
Main Conference Track
QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Wanlong Liu, Junxiao Xu, Fei Richard Yu, Yukang Lin, Ke Ji, Wenyu Chen, Lifeng Shang, Yasheng Wang, Yan Xu, Benyou Wang
Main Conference Track
Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments Jiahui Wang, Chao Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Main Conference Track
A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning Daniel Tschernutter, David Diego Castro, Maciej Kasiński
Main Conference Track
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning Zewei Zhou, Tianhui Cai, Seth Zhao, Yun Zhang, Zhiyu Huang, Bolei Zhou, Jiaqi Ma
Main Conference Track
Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks Huanming Shen, Baizhou Huang, Xiaojun Wan
Main Conference Track
Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents Qianlan Yang, XJ Wang, Danielle Perszyk, Yu-Xiong Wang
Main Conference Track
Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability Po-Chen Kuo, Han Hou, Will Dabney, Edgar Walker
Main Conference Track
On the Existence and Complexity of Core-Stable Data Exchanges Jiaxin Song, Pooja Kulkarni, Parnian Shahkar, Bhaskar Ray Chaudhury
Main Conference Track
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals Jonas Elsborg, Luca Thiede, Alan Aspuru-Guzik, Tejs Vegge, Arghya Bhowmik
Main Conference Track
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation Wei Yang, Rui Zhong, Yiqun Chen, Chi Lu, Peng Jiang
Main Conference Track
DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting Moonsoo Jeong, Dongbeen Kim, Minseong Kim, Sungkil Lee
Main Conference Track
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Yihan Wang, Yiwei Lu, Xiao-Shan Gao, Gautam Kamath, Yaoliang Yu
Main Conference Track
The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis Alex Lewandowski, Aditya Ramesh, Edan Meyer, Dale Schuurmans, Marlos C. Machado
Main Conference Track
RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models Yeongtak Oh, Dohyun Chung, Juhyeon Shin, Sangha Park, Johan Barthelemy, Jisoo Mok, Sungroh Yoon
Main Conference Track
The Generative Leap: Tight Sample Complexity for Efficiently Learning Gaussian Multi-Index Models Alex Damian, Jason D. Lee, Joan Bruna
Main Conference Track
ARGenSeg: Image Segmentation with Autoregressive Image Generation Model Xiaolong Wang, Lixiang Ru, Ziyuan Huang, Kaixiang Ji, DanDan Zheng, Jingdong Chen, Jun Zhou
Main Conference Track
ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search Mengdi Liu, Xiaoxue Cheng, Zhangyang Gao, Hong Chang, Cheng Tan, Shiguang Shan, Xilin Chen
Main Conference Track
No Experts, No Problem: Avoidance Learning from Bad Demonstrations Huy Hoang, Tien Mai, Pradeep Varakantham
Main Conference Track
RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics Enshen Zhou, Jingkun An, Cheng Chi, Yi Han, Shanyu Rong, Chi Zhang, Pengwei Wang, Zhongyuan Wang, Tiejun Huang, Lu Sheng, Shanghang Zhang
Main Conference Track
Top-H Decoding: Adapting the Creativity and Coherence with Bounded Entropy in Text Generation Erfan Baghaei Potraghloo, Seyedarmin Azizi, Souvik Kundu, Massoud Pedram
Main Conference Track
AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Jingyuan Qi, Zhiyang Xu, Qifan Wang, Lifu Huangg
Main Conference Track
RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards jingnan zheng, Xiangtian Ji, Yijun Lu, Chenhang Cui, Weixiang Zhao, Gelei Deng, Zhenkai Liang, An Zhang, Tat-Seng Chua
Main Conference Track
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference Harsh Parikh, Trang Nguyen, Elizabeth Stuart, Kara Rudolph, Caleb Miles
Main Conference Track
Unveiling Concept Attribution in Diffusion Models Nguyen Hung-Quang, Hoang Phan, Khoa D Doan
Main Conference Track
Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification Yuanfan Li, Yunwen Lei, Zheng-Chu Guo, Yiming Ying
Main Conference Track
BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong
Main Conference Track
Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array Qinghong Ye, Yiqian Chang, Jianing Li, Haoran Xu, Xuan Wang, Wei Zhang, Yonghong Tian, Peixi Peng
Main Conference Track
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Liuyue, Bo Li, Xuming Hu, Xiaowen Chu
Main Conference Track
Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant Jonas Spinner, Luigi Favaro, Peter Lippmann, Sebastian Pitz, Gerrit Gerhartz, Tilman Plehn, Fred A. Hamprecht
Main Conference Track
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data Duong Nguyen, Nghia Hoang, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Phi Le Nguyen
Main Conference Track
Discovering Compositional Hallucinations in LVLMs Sibei Yang, Ge Zheng, Jiajin Tang, Jiaye Qian, Hanzhuo Huang, Cheng Shi
Main Conference Track
Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context Yijia Dai, Zhaolin Gao, Yahya Sattar, Sarah Dean, Jennifer Sun
Main Conference Track
VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking Kichang Yang, Seonjun Kim, Minjae Kim, Nairan Zhang, Chi Zhang, Youngki Lee
Main Conference Track
Attention with Trained Embeddings Provably Selects Important Tokens Diyuan Wu, Aleksandr Shevchenko, Samet Oymak, Marco Mondelli
Main Conference Track
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients Shiyuan Zuo, Xingrun Yan, Rongfei Fan, Li Shen, Puning Zhao, Jie Xu, Han Hu
Main Conference Track
$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning Simone Ricci, Niccolò Biondi, Federico Pernici, Ioannis Patras, Alberto Del Bimbo
Main Conference Track
Lyapunov-Stable Adaptive Control for Multimodal Concept Drift Tianyu Pan, Mengdi Zhu, Alexa Cole, Ronald Wilson, Damon Woodard
Main Conference Track
Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond Risheng Liu, Zhu Liu, Weihao Mao, Wei Yao, Jin Zhang
Main Conference Track
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi
Main Conference Track
Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games Fivos Kalogiannis, Gabriele Farina
Main Conference Track
Influence Guided Context Selection for Effective Retrieval-Augmented Generation Jiale Deng, Yanyan Shen, Ziyuan Pei, Youmin Chen, Linpeng Huang
Main Conference Track
SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning Weijian Mai, Jiamin Wu, Yu Zhu, Zhouheng Yao, Dongzhan Zhou, Andrew Luo, Qihao Zheng, Wanli Ouyang, Chunfeng Song
Main Conference Track
Table as a Modality for Large Language Models Liyao Li, Chao Ye, Wentao Ye, Yifei Sun, Zhe Jiang, Haobo Wang, Jiaming Tian, Yiming Zhang, NINGTAO WANG, Xing Fu, Gang Chen, Junbo Zhao
Main Conference Track
Estimation of Stochastic Optimal Transport Maps Sloan Nietert, Ziv Goldfeld
Main Conference Track
Escaping Collapse: The Strength of Weak Data for Large Language Model Training Kareem Amin, Sara Babakniya, Alex Bie, Weiwei Kong, Umar Syed, Sergei Vassilvitskii
Main Conference Track
When Can Model-Free Reinforcement Learning be Enough for Thinking? Josiah Hanna, Nicholas Corrado
Main Conference Track
Can DPO Learn Diverse Human Values? A Theoretical Scaling Law Shawn Im, Sharon Li
Main Conference Track
Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning Zihao Jing, Yan Sun, Yan Yi Li, Sugitha Janarthanan, Alana Deng, Pingzhao Hu
Main Conference Track
FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models Zihao Fu, Ryan Brown, Shun Shao, Kai Rawal, Eoin Delaney, Chris Russell
Main Conference Track
Memorization in Graph Neural Networks Adarsh Jamadandi, Jing Xu, Adam Dziedzic, Franziska Boenisch
Main Conference Track
MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Mahmoud Selim, Sriharsha Bhat, Karl H. Johansson
Main Conference Track
Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video Aditi Tiwari, Farzaneh Masoud, Dac Nguyen, Jill Kraft, Heng Ji, Klara Nahrstedt
Datasets and Benchmarks Track
Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator Shuchang Zhang, Yaoyun Zeng, Kangkang Deng, Hongxia Wang
Main Conference Track
Hyperbolic Fine-Tuning for Large Language Models Menglin Yang, Ram B, Aosong Feng, Bo Xiong, Jiahong Liu, Irwin King, Rex Ying
Main Conference Track
MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence Error
Datasets and Benchmarks Track
Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation Wangkai Li, Rui Sun, Huayu Mai, Tianzhu Zhang
Main Conference Track
MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization Chenglong Wang, Yang Gan, Hang Zhou, Chi Hu, Yongyu Mu, Kai Song, MuRun Yang, Bei Li, Chunliang Zhang, Tongran Liu, JingBo Zhu, Zhengtao Yu, Tong Xiao
Main Conference Track
A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis Dongheng Lin, Mengxue Qu, Kunyang Han, Jianbo Jiao, Xiaojie Jin, Yunchao Wei
Main Conference Track
AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs Di He, Songjun Tu, Ajay Jaiswal, Li Shen, Ganzhao Yuan, Shiwei Liu, Lu Yin
Main Conference Track
Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies Vincent Leon, Iosif Sakos, Ryann Sim, Antonios Varvitsiotis
Main Conference Track
Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality Alex Fang, Hadi Pouransari, Matt Jordan, Alexander Toshev, Vaishaal Shankar, Ludwig Schmidt, Tom Gunter
Main Conference Track
Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting Nan Wang, Lixing Xiao, Yuantao Chen, Weiqing Xiao, Pierre Merriaux, Lei Lei, Ziyang Yan, Saining Zhang, Shaocong Xu, chongjie Ye, Bohan Li, Zhaoxi Chen, Tianfan Xue, Hao Zhao
Main Conference Track
FrameShield: Adversarially Robust Video Anomaly Detection Mojtaba Nafez, Mobina Poulaei, Nikan Vasei, Bardia moakhar, Mohammad Sabokrou, Mohammad Hossein Rohban
Main Conference Track
Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards Error
Position Paper Track
CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes Jiyao Zhang, Zhiyuan Ma, Tianhao Wu, Zeyuan Chen, Hao Dong
Main Conference Track
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search Huanjin Yao, Jiaxing Huang, Wenhao Wu, Jingyi Zhang, Yibo Wang, Shunyu Liu, Yingjie Wang, YuXin Song, Haocheng Feng, Li Shen, Dacheng Tao
Main Conference Track
Instant4D: 4D Gaussian Splatting in Minutes Zhanpeng Luo, Haoxi Ran, Li Lu
Main Conference Track
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism Reda Marzouk, Shahaf Bassan, Guy Katz
Main Conference Track
Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation Sungmin Cha, Kyunghyun Cho
Main Conference Track
Distributional LLM-as-a-Judge Luyu Chen, Zeyu Zhang, Haoran Tan, Quanyu Dai, Yang Hao, Zhenhua Dong, Xu Chen
Main Conference Track
Generative Graph Pattern Machine Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye
Main Conference Track
KGGen: Extracting Knowledge Graphs from Plain Text with Language Models Belinda Mo, Kyssen Yu, Joshua Kazdan, Proud Mpala, Lisa Yu, Charilaos Kanatsoulis, Sanmi Koyejo
Main Conference Track
Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning Yu Zhang, Jialei Zhou, Xinchen Li, Qi Zhang, Zhongwei Wan, Duoqian Miao, Changwei Wang, Longbing Cao
Main Conference Track
VITRIX-CLIPIN: Enhancing Fine-Grained Visual Understanding in CLIP via Instruction-Editing Data and Long Captions Ziteng Wang, Siqi Yang, Limeng Qiao, Lin Ma
Main Conference Track
SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction Fabian Immel, Jan-Hendrik Pauls, Richard Schwarzkopf, Frank Bieder, Jonas Merkert, Christoph Stiller
Main Conference Track
Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning Yash Jhaveri, Harley Wiltzer, Patrick Shafto, Marc Bellemare, David Meger
Main Conference Track
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Dennis Frauen, Maresa Schröder, Konstantin Hess, Stefan Feuerriegel
Main Conference Track
Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond Kaixiang Chen, Pengfei Fang, hui xue
Main Conference Track
Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations Brian Zheng, Alisa Liu, Orevaoghene Ahia, Jonathan Hayase, Yejin Choi, Noah A. Smith
Main Conference Track
E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization Wenpu Li, Bangyan Liao, Yi Zhou, QiXu, Pian Wan, Peidong Liu
Main Conference Track
BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual Perception junyan ye, Dongzhi JIANG, Jun He, Baichuan Zhou, Zilong Huang, Zhiyuan Yan, Hongsheng Li, Conghui He, Weijia Li
Datasets and Benchmarks Track
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models Ben Finkelshtein, Ismail Ilkan Ceylan, Michael Bronstein, Ron Levie
Main Conference Track
Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference Harry Amad, Zhaozhi Qian, Dennis Frauen, Julianna Piskorz, Stefan Feuerriegel, Mihaela van der Schaar
Main Conference Track
When majority rules, minority loses: bias amplification of gradient descent François Bachoc, Jerome Bolte, Ryan Boustany, Jean-Michel Loubes
Main Conference Track
Diffusion Transformers as Open-World Spatiotemporal Foundation Models Yuan Yuan, Chonghua Han, Jingtao Ding, Guozhen Zhang, Depeng Jin, Yong Li
Main Conference Track
Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models Lvmin Zhang, Shengqu Cai, Muyang Li, Gordon Wetzstein, Maneesh Agrawala
Main Conference Track
$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data Sheida Rahnamai Kordasiabi, Damian Nogare, Florian Jug
Main Conference Track
REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset Xiaojun Ning, Jing Wang, Zhiyang Feng, Tianzuo Xin, Shuo Zhang, Shaoqi Zhang, Zheng Lian, Yi Ding, Youfang Lin, Ziyu Jia
Datasets and Benchmarks Track
Thoughts Are All Over the Place: On the Underthinking of Long Reasoning Models Yue Wang, Qiuzhi Liu, Jiahao Xu, Tian Liang, Xingyu Chen, Zhiwei He, Linfeng Song, Dian Yu, Juntao Li, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu
Main Conference Track
MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes Error
Datasets and Benchmarks Track
Evaluating multiple models using labeled and unlabeled data Divya Shanmugam, Shuvom Sadhuka, Manish Raghavan, John Guttag, Bonnie Berger, Emma Pierson
Main Conference Track
Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Yue Zhou, Xinan He, Kaiqing Lin, Bing Fan, Feng Ding, Bin Li
Main Conference Track
Robust Explanations of Graph Neural Networks via Graph Curvatures Yazheng Liu, Xi Zhang, Sihong Xie, Hui Xiong
Main Conference Track
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling Yanchen Luo, ZHIYUAN LIU, Yi Zhao, Sihang Li, Hengxing Cai, Kenji Kawaguchi, Tat-Seng Chua, Yang Zhang, Xiang Wang
Main Conference Track
A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning Guan Zhe Hong, Nishanth Dikkala, Enming Luo, Cyrus Rashtchian, Xin Wang, Rina Panigrahy
Main Conference Track
Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie
Main Conference Track
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing Jaihoon Kim, Taehoon Yoon, Jisung Hwang, Minhyuk Sung
Main Conference Track
OmniBench: Towards The Future of Universal Omni-Language Models Yizhi Li, Ge Zhang, Yinghao Ma, Ruibin Yuan, Zhu, Hangyu Guo, Yiming Liang, Jiaheng Liu, Noah Wang, Jian Yang, Siwei Wu, Xingwei Qu, Jinjie Shi, Xinyue Zhang, Zhenzhu Yang, Yidan WEN, Yanghai Wang, Shihao Li, ZHAO-XIANG ZHANG, Ruibo Liu, Emmanouil Benetos, Wenhao Huang, Chenghua Lin
Datasets and Benchmarks Track
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning Haozhe Wang, Chao Qu, Zuming Huang, Wei Chu, Fangzhen Lin, Wenhu Chen
Main Conference Track
Massive Sound Embedding Benchmark (MSEB) Error
Datasets and Benchmarks Track
The Temporal Graph of Bitcoin Transactions Error
Datasets and Benchmarks Track
Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation Shuo Wang, Yongcai Wang, Wanting Li, Xudong Cai, Yucheng Wang, Maiyue Chen, kaihui.wang, Zhizhong Su, Deying Li, Zhaoxin Fan
Main Conference Track
When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery Dominik Meier, Sujai Hiremath, PROMIT GHOSAL, Kyra Gan
Main Conference Track
Alignment of Large Language Models with Constrained Learning Botong Zhang, Shuo Li, Ignacio Hounie, Osbert Bastani, Dongsheng Ding, Alejandro Ribeiro
Main Conference Track
Tight Bounds on the Distortion of Randomized and Deterministic Distributed Voting Mohammad Abam, Davoud Kareshki, Marzieh Nilipour, MohammadHossein Paydar, Masoud Seddighin
Main Conference Track
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Linear Extrapolation Jiawei Zhang, Ziyuan Liu, Leon Yan, Gen Li, Yuantao Gu
Main Conference Track
Hamiltonian Neural PDE Solvers through Functional Approximation Anthony Zhou, Amir Barati Farimani
Main Conference Track
Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs Zhixin Xie, Xurui Song, Jun Luo
Main Conference Track
Compact Memory for Continual Logistic Regression Yohan Jung, Hyungi Lee, Wenlong Chen, Thomas Möllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan
Main Conference Track
Variational Transdimensional Inference Laurence Davies, Daniel MacKinlay, Rafael Oliveira, Scott SIsson
Main Conference Track
3D Interaction Geometric Pre-training for Molecular Relational Learning Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Minkai Xu, Hanchen Wang, Tianfan Fu, Chanyoung Park
Main Conference Track
LiveStar: Live Streaming Assistant for Real-World Online Video Understanding Zhenyu Yang, Kairui Zhang, Yuhang Hu, Bing Wang, Shengsheng Qian, Bin Wen, Fan Yang, Tingting Gao, Weiming Dong, Changsheng Xu
Main Conference Track
Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem Elvis Dohmatob
Main Conference Track
Detecting Generated Images by Fitting Natural Image Distributions Yonggang Zhang, Jun Nie, Xinmei Tian, Mingming Gong, Kun Zhang, Bo Han
Main Conference Track
Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety Siyuan Xu, Minghui Zhu
Main Conference Track
Straight-Line Diffusion Model for Efficient 3D Molecular Generation Yuyan Ni, Shikun Feng, Haohan Chi, Bowen Zheng, Huan-ang Gao, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan
Main Conference Track
QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation Jincheol Yang, Jaemin Choi, Matti Zinke, Suk-Ju Kang
Main Conference Track
Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy Xiaoxiao Ma, Feng Zhao, Pengyang Ling, Haibo Qiu, Zhixiang Wei, Hu Yu, Jie Huang, Zhixiong Zeng, Lin Ma
Main Conference Track
Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training Hong Wang, Haiyang Xin, Jie Wang, Xuanze Yang, Fei Zha, huanshuo dong, Yan Jiang
Main Conference Track
Self Iterative Label Refinement via Robust Unlabeled Learning Hikaru Asano, Tadashi Kozuno, Yukino Baba
Main Conference Track
SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis Luojie Huang, Ryan Zhang, Marisa Morakis, Michaela Taylor-Williams, Gregory McKay, Nicholas Durr
Main Conference Track
SubTrack++ : Gradient Subspace Tracking for Scalable LLM Training Sahar Rajabi, Nayeema Nonta, Sirisha Rambhatla
Main Conference Track
Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes Haonan Wang, Hanyu Zhou, Haoyue Liu, Luxin Yan
Main Conference Track
Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach Dandan Liang, Jianing Zhang, Evan Chen, Zhe Li, Rui Li, Haibo Yang
Main Conference Track
Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback Orin Levy, Liad Erez, Alon Peled-Cohen, Yishay Mansour
Main Conference Track
Conditional Representation Learning for Customized Tasks Honglin Liu, Chao Sun, Peng Hu, Yunfan Li, Xi Peng
Main Conference Track
PanTS: The Pancreatic Tumor Segmentation Dataset Wenxuan Li, Xinze Zhou, Qi Chen, Tianyu Lin, Pedro R. A. S. Bassi, Xiaoxi Chen, Chen Ye, Zheren Zhu, Kai Ding, Heng Li, Kang Wang, Yang Yang, Yucheng Tang, Daguang Xu, Alan L. Yuille, Zongwei Zhou
Datasets and Benchmarks Track
On Inductive Biases That Enable Generalization in Diffusion Transformers Jie An, De Wang, Pengsheng Guo, Jiebo Luo, Alex Schwing
Main Conference Track
CoDA: Coordinated Diffusion Noise Optimization for Whole-Body Manipulation of Articulated Objects Huaijin Pi, Zhi Cen, Zhiyang Dou, Taku Komura
Main Conference Track
Private Continual Counting of Unbounded Streams Ben Jacobsen, Kassem Fawaz
Main Conference Track
Efficient Bayesian Experiment Design with Equivariant Networks Conor Igoe, Tejus Gupta, Jeff G. Schneider
Main Conference Track
When and How Unlabeled Data Provably Improve In-Context Learning Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit K. Roy-Chowdhury, Samet Oymak
Main Conference Track
PairEdit: Learning Semantic Variations for Exemplar-based Image Editing Haoguang Lu, Jiacheng Chen, Zhenguo Yang, Aurele Gnanha, Fu Lee Wang, Qing Li, Xudong Mao
Main Conference Track
Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control Hongyi Zhou, Jingwei Li, Jingzhao Zhang
Main Conference Track
Compress & Cache: Vision token compression for efficient generation and retrieval Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
Main Conference Track
Scaling Embedding Layers in Language Models Da Yu, Edith Cohen, Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Daogao Liu, Chiyuan Zhang
Main Conference Track
Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability Kaiqi Jiang, Jeremy Cohen, Yuanzhi Li
Main Conference Track
BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold Zhixuan Zhou, Tingting Dan, Guorong Wu
Main Conference Track
Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study Guanlin (Frank) Wu, Boyan Su, Yang Zhao, Pu (Perry) Wang, Yichen Lin, Hao Frank Yang
Main Conference Track
ODG: Occupancy Prediction Using Dual Gaussians Yunxiao Shi, Yinhao Zhu, Herbert Cai, Shizhong Han, Jisoo Jeong, Amin Ansari, Fatih Porikli
Main Conference Track
On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani, Aryan Mokhtari
Main Conference Track
Efficient semantic uncertainty quantification in language models via diversity-steered sampling Ji Won Park, Kyunghyun Cho
Main Conference Track
Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models Jing Zuo, Luoping Cui, Chuang Zhu, Yonggang Qi
Main Conference Track
Dimension-free Score Matching and Time Bootstrapping for Diffusion Models Syamantak Kumar, Dheeraj Nagaraj, Purnamrita Sarkar
Main Conference Track
DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition Donghao Luo, Xue Wang
Main Conference Track
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models Sima Noorani, Shayan Kiyani, George J. Pappas, Hamed Hassani
Main Conference Track
Plug-and-Play Context Feature Reuse for Efficient Masked Generation Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
Main Conference Track
Refusal Direction is Universal Across Safety-Aligned Languages Xinpeng Wang, Mingyang Wang, Yihong Liu, Hinrich Schuetze, Barbara Plank
Main Conference Track
Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs Zhangyin Feng, Qianglong Chen, Ning Lu, Yongqian Li, Siqi Cheng, Shuangmu Peng, Duyu Tang, Shengcai Liu, Zhirui Zhang
Main Conference Track
ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On Yuhan Li, Zhiyu Jin, Yifan Tong, Wenxiang Shang, Benlei Cui, Xuanhong Chen, Ran Lin, Bingbing Ni
Main Conference Track
UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation Jiyu Guo, Shuo Yang, Yiming Huang, Yancheng Long, Xiaobo Xia, Xiu Su, Bo Zhao, Zeke Xie, Liqiang Nie
Main Conference Track
HoloScene: Simulation‑Ready Interactive 3D Worlds from a Single Video Hongchi Xia, Chih-Hao Lin, Hao-Yu Hsu, Quentin Leboutet, Katelyn Gao, Michael Paulitsch, Benjamin Ummenhofer, Shenlong Wang
Main Conference Track
FreeInv: Free Lunch for Improving DDIM Inversion Yuxiang Bao, Huijie Liu, xun gao, Huan Fu, Guoliang Kang
Main Conference Track
RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning Hao Gao, Shaoyu Chen, Bo Jiang, Bencheng Liao, Yiang Shi, Xiaoyang Guo, Yuechuan Pu, haoran yin, Xiangyu Li, xinbang zhang, ying zhang, Wenyu Liu, Qian Zhang, Xinggang Wang
Main Conference Track
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP Yuxin Pan, Zhiguang Cao, Chengyang GU, Liu Liu, Peilin Zhao, Yize Chen, Fangzhen Lin
Main Conference Track
Tree-Based Premise Selection for Lean4 Zichen Wang, Anjie Dong, Zaiwen Wen
Main Conference Track
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution Qiusheng Huang, Yuan Niu, Xiaohui Zhong, AnboyuGuo, Lei Chen, dianjun zhang, Xuefeng Zhang, Hao Li
Main Conference Track
Repo2Run: Automated Building Executable Environment for Code Repository at Scale Ruida Hu, Chao Peng, XinchenWang, Junjielong Xu, Cuiyun Gao
Main Conference Track
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation Haoqi Wu, Wei Dai, Ming Xu, Wang Li, Qiang Yan
Main Conference Track
Statistical Inference for Gradient Boosting Regression Haimo Fang, Kevin Tan, Giles Hooker
Main Conference Track
RoomEditor: High-Fidelity Furniture Synthesis with Parameter-Sharing U-Net Zhenyi Lin, Xiaofan Ming, Qilong Wang, Dongwei Ren, Wangmeng Zuo, Qinghua Hu
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RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models Yingsha Xie, Rui Min, Zeyu Qin, Fei Ma, Li Shen, Fei Richard Yu, Xiaochun Cao
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VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models Haichao Zhang, Yun Fu
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Thompson Sampling in Function Spaces via Neural Operators Rafael Oliveira, Xuesong Wang, Kian Ming A Chai, Edwin V. Bonilla
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$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training Jin Peng Zhou, Kaiwen Wang, Jonathan Chang, Zhaolin Gao, Nathan Kallus, Kilian Q. Weinberger, Kianté Brantley, Wen Sun
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seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models Hafez Ghaemi, Eilif B. Muller, Shahab Bakhtiari
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WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization Jiahao Wen, Hang Yu, Zhedong Zheng
Main Conference Track
OrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata Error
Datasets and Benchmarks Track
CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction Error
Datasets and Benchmarks Track
Memory-Enhanced Neural Solvers for Routing Problems Felix Chalumeau, Refiloe Shabe, Noah De Nicola, Arnu Pretorius, Tom Barrett, Nathan Grinsztajn
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Actor-Free Continuous Control via Structurally Maximizable Q-Functions Yigit Korkmaz, Urvi Bhuwania, Ayush Jain, Erdem Bıyık
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The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs? Hao Yin, Guangzong Si, Zilei Wang
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Vision-centric Token Compression in Large Language Model Ling Xing, Alex Jinpeng Wang, Rui Yan, Xiangbo Shu, Jinhui Tang
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ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation Jiuhong Xiao, Roshan Nayak, Ning Zhang, Daniel Tortei, Giuseppe Loianno
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Understanding while Exploring: Semantics-driven Active Mapping Liyan Chen, Huangying Zhan, Hairong Yin, Yi Xu, Philippos Mordohai
Main Conference Track
DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding Error
Datasets and Benchmarks Track
Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment Weixiang Zhao, Xingyu Sui, Yulin Hu, Jiahe Guo, Haixiao Liu, Biye Li, Yanyan Zhao, Bing Qin, Ting Liu
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Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses Yuzhou Cao, Han Bao, Lei Feng, Bo An
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Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation Muqi Han, Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang
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Learning to Learn with Contrastive Meta-Objective Shiguang Wu, Yaqing Wang, Yatao Bian, Quanming Yao
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Fairshare Data Pricing via Data Valuation for Large Language Models Luyang Zhang, Cathy Jiao, Beibei Li, Chenyan Xiong
Main Conference Track
InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts Weipeng Zhong, Peizhou Cao, Yichen Jin, Luo Li, Wenzhe Cai, Jingli Lin, Hanqing Wang, Zhaoyang Lyu, Tai WANG, Xudong XU, Bo Dai, Jiangmiao Pang
Datasets and Benchmarks Track
How to build a consistency model: Learning flow maps via self-distillation Nicholas Boffi, Michael Albergo, Eric Vanden-Eijnden
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Real-Time Execution of Action Chunking Flow Policies Kevin Black, Manuel Galliker, Sergey Levine
Main Conference Track
FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation Fan Yang, Yousong Zhu, Xin Li, Yufei Zhan, Hongyin Zhao, Shurong Zheng, Yaowei Wang, Ming Tang, Jinqiao Wang
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Transformers Learn Faster with Semantic Focus Parikshit Ram, Kenneth Clarkson, Tim Klinger, Shashanka Ubaru, Alexander G. Gray
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Neural Fractional Attention Differential Equations Qiyu Kang, Wenjun Cui, Xuhao Li, Yuxin Ma, Xueyang Fu, Wee Peng Tay, Yidong Li, Zheng-Jun Zha
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Event-based HDR Structured Light Jiacheng Fu, Yue Li, Xin Dong, Wenming Weng, Yueyi Zhang, Zhiwei Xiong
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Let the LLM Stick to Its Strengths: Learning to Route Economical LLM Yi-Kai Zhang, Shiyin Lu, Qingguo Chen, Weihua Luo, De-Chuan Zhan, Han-Jia Ye
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Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting Xukai Zhang, Shuliang Wang, Guangyin Jin, Ziqiang Yuan, Hanning Yuan, Sijie Ruan
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FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation Zeyu Zhang, Yiran Wang, Danning Li, Dong Gong, Ian Reid, Richard Hartley
Main Conference Track
RGB-to-Polarization Estimation: A New Task and Benchmark Study Error
Datasets and Benchmarks Track
RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains Tianle Pu, Zijie Geng, Haoyang Liu, Shixuan Liu, Jie Wang, Li Zeng, Chao Chen, Changjun Fan
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Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction? Tianyu Lin, Xinran Li, Chuntung Zhuang, Qi Chen, Yuanhao Cai, Kai Ding, Alan L. Yuille, Zongwei Zhou
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Sketched Adaptive Distributed Deep Learning: A Sharp Convergence Analysis Zhijie Chen, Qiaobo Li, Arindam Banerjee
Main Conference Track
Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Yue Tan, Xiaoqian Hu, Hao Xue, Celso de Melo, Flora D. Salim
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Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion Alan Amin, Nate Gruver, Andrew Gordon Wilson
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Semi-Supervised Regression with Heteroscedastic Pseudo-Labels Xueqing Sun, Renzhen Wang, Quanziang Wang, Yichen WU, Xixi Jia, Deyu Meng
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AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play Ran Xu, Yuchen Zhuang, Zihan Dong, Ruiyu Wang, Yue Yu, Joyce Ho, Linjun Zhang, Haoyu Wang, Wenqi Shi, Carl Yang
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On the Optimality of the Median-of-Means Estimator under Adversarial Contamination Xabier de Juan, Santiago Mazuelas
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4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration Jiahui Zhang, Yurui Chen, Yueming Xu, Ze Huang, Yanpeng Zhou, Yu-Jie Yuan, Xinyue Cai, Guowei Huang, Xingyue Quan, Hang Xu, Li Zhang
Main Conference Track
SD-VLM: Spatial Measuring and Understanding with Depth-Encoded Vision-Language Models Pingyi Chen, Yujing Lou, Shen Cao, Jinhui Guo, Lubin Fan, Yue Wu, Lin F. Yang, Lizhuang Ma, Jieping Ye
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Over-squashing in Spatiotemporal Graph Neural Networks Ivan Marisca, Jacob Bamberger, Cesare Alippi, Michael Bronstein
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A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks Xiaoxuan Gong, Jie Ma
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Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model Yuyao Wang, Yu-Hung Cheng, Debarghya Mukherjee, Huimin Cheng
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Frequency-Aware Token Reduction for Efficient Vision Transformer DongJae Lee, Jiwan Hur, Jaehyun Choi, Jaemyung Yu, Junmo Kim
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Linear Transformers Implicitly Discover Unified Numerical Algorithms Patrick Lutz, Aditya Gangrade, Hadi Daneshmand, Venkatesh Saligrama
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Model Provenance Testing for Large Language Models Ivica Nikolic, Teodora Baluta, Prateek Saxena
Main Conference Track
FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed Jiaqi Zhang, Juntuo Wang, Zhixin Sun, John Zou, Randall Balestriero
Main Conference Track
Consistency of the $k_n$-nearest neighbor rule under adaptive sampling Robi Bhattacharjee, Geelon So, Sanjoy Dasgupta
Main Conference Track
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks Debargha Ganguly, Vikash Singh, Sreehari Sankar, Biyao Zhang, Xuecen Zhang, Srinivasan Iyengar, Xiaotian Han, Amit Sharma, Shivkumar Kalyanaraman, Vipin Chaudhary
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SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement Chenyu Yang, Shuai Wang, Hangting Chen, Wei Tan, Jianwei Yu, Haizhou Li
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Practical Bayes-Optimal Membership Inference Attacks Marcus Lassila, Johan Oestman, Khac-Hoang Ngo, Alexandre Graell i Amat
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COOPERA: Continual Open-Ended Human-Robot Assistance Chenyang Ma, Kai Lu, Ruta Desai, Xavier Puig, Andrew Markham, Niki Trigoni
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MagCache: Fast Video Generation with Magnitude-Aware Cache Zehong Ma, Longhui Wei, Feng Wang, Shiliang Zhang, Qi Tian
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From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit Valérie Costa, Thomas Fel, Ekdeep S Lubana, Bahareh Tolooshams, Demba Ba
Main Conference Track
VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models Haidong Xu, Guangwei Xu, Zhedong Zheng, Xiatian Zhu, Wei Ji, Xiangtai Li, Ruijie Guo, Meishan Zhang, Min zhang, Hao Fei
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A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression Giuseppe Castiglione, Christopher L Buckley, Ivor Simpson
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InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction Bin Lei, Weitai Kang, Zijian Zhang, Winson Chen, Xi Xie, Shan Zuo, Mimi Xie, Ali Payani, Mingyi Hong, Yan Yan, Caiwen Ding
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LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents Rui Li, Zixuan Hu, Wenxi Qu, Jinouwen Zhang, Zhenfei Yin, Sha Zhang, Xuantuo Huang, Hanqing Wang, Tai WANG, Jiangmiao Pang, Wanli Ouyang, LEI BAI, Wangmeng Zuo, LINGYU DUAN, Dongzhan Zhou, SHIXIANG TANG
Datasets and Benchmarks Track
Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras Lingdong Kong, Dongyue Lu, Alan Liang, Rong Li, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Ooi, Benoit Cottereau
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Personalized Visual Content Generation in Conversational Systems Xianquan Wang, Zhaocheng Du, Huibo Xu, Shukang Yin, Yupeng Han, Jieming Zhu, Kai Zhang, Qi Liu
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CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs Gunho Park, Jeongin Bae, Byeongwook Kim, Baeseong Park, Jiwon Ryu, Hoseung Kim, Se Jung Kwon, Dongsoo Lee
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Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding Yin Hang, Xiaomin He, Peiwen Yuan, Yiwei Li, Jiayi Shi, Wenxiao Fan, Shaoxiong Feng, Prof. Kan
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When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product Youqi WU, Jingwei Zhang, Farzan Farnia
Main Conference Track
PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding Ansel Blume, Jeonghwan Kim, Hyeonjeong Ha, Elen Chatikyan, Xiaomeng Jin, Khanh Nguyen, Nanyun Peng, Kai-Wei Chang, Derek Hoiem, Heng Ji
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RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling Xiuying Wei, Anunay Yadav, Razvan Pascanu, Caglar Gulcehre
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DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning Yueyang Yuan, Wenke Huang, Frank Wan, Kaiqi Guan, He Li, Mang Ye
Main Conference Track
Correcting misinterpretations of additive models Benedict Clark, Rick Wilming, Hjalmar Schulz, Rustam Zhumagambetov, Danny Panknin, Stefan Haufe
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Accelerating 3D Molecule Generative Models with Trajectory Diagnosis Zhilong Zhang, Yuxuan Song, Yichun Wang, Jingjing Gong, Hanlin Wu, Dongzhan Zhou, Hao Zhou, Wei-Ying Ma
Main Conference Track
MS-Bench: Evaluating LMMs in Ancient Manuscript Study through a Dunhuang Case Study Error
Datasets and Benchmarks Track
RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models Junda Zhu, Jun Ai, Yujun Li, Yichun Yin, Yasheng Wang, Lifeng Shang, Qun Liu
Main Conference Track
MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks WANTONG XIE, Yi-Xiang Hu, Jieyang Xu, Feng Wu, Xiangyang Li
Main Conference Track
$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu
Main Conference Track
MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation Zhiwei Hao, Zhongyu Xiao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Dan Zeng
Main Conference Track
Constrained Diffusers for Safe Planning and Control Jichen Zhang, Liqun Zhao, Antonis Papachristodoulou, Jack Umenberger
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OpenBox: Annotate Any Bounding Boxes in 3D In-Jae Lee, Mungyeom Kim, Kwonyoung Ryu, Pierre Musacchio, Jaesik Park
Main Conference Track
SAS: Simulated Attention Score Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan Kulkarni, yelong shen, Zhangyang "Atlas" Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao
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Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning Roger Creus Castanyer, Johan Obando Ceron, Lu Li, Pierre-Luc Bacon, Glen Berseth, Aaron C. Courville, Pablo Samuel Castro
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KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products Zixuan XIa, Aram Davtyan, Paolo Favaro
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The emergence of sparse attention: impact of data distribution and benefits of repetition Nicolas Zucchet, Francesco D'Angelo, Andrew Kyle Lampinen, Stephanie Chan
Main Conference Track
Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA Mingyu Huang, Shasha Zhou, Ke Li
Datasets and Benchmarks Track
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations Yiyou Sun, Yu Gai, Lijie Chen, Abhilasha Ravichander, Yejin Choi, Nouha Dziri, Dawn Song
Main Conference Track
Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning Honglin Lin, Qizhi Pei, Zhuoshi Pan, Yu Li, Xin Gao, Juntao Li, Conghui He, Lijun Wu
Main Conference Track
PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework Wei LIN, Yiwei Zhou, Junkai Zhang, Rui Shao, Zhiyuan Zhao, Junyu Gao, Antoni B. Chan, Xuelong Li
Datasets and Benchmarks Track
GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion Beibei Lin, Tingting Chen, Robby Tan
Main Conference Track
MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control Yuchen Zhu, Wei Guo, Jaemoo Choi, Guan-Horng Liu, Yongxin Chen, Molei Tao
Main Conference Track
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra, Nicolas Baldwin, Alexis Audran-Reiss, Michael Kuchnik, Despoina Magka, Minqi Jiang, Alisia Lupidi, Andrei Lupu, Roberta Raileanu, Tatiana Shavrina, Kelvin Niu, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Shagun Sodhani, Alexander Miller, Abhishek Charnalia, Derek Dunfield, Carole-Jean Wu, Pontus Lars Erik Saito Stenetorp, Nicola Cancedda, Jakob Foerster, Yoram Bachrach
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OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps Bingnan Li, Chen-Yu Wang, Haiyang Xu, Xiang Zhang, Ethan Armand, Divyansh Srivastava, Shan Xiaojun, Zeyuan Chen, Jianwen Xie, Zhuowen Tu
Datasets and Benchmarks Track
Unifying Proportional Fairness in Centroid and Non-Centroid Clustering Benjamin Cookson, Nisarg Shah, Ziqi Yu
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PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers Yuchen Lin, Chenguo Lin, Panwang Pan, Honglei Yan, Feng Yiqiang, Yadong Mu, Katerina Fragkiadaki
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HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing Johann Flemming Gloy, Simon Olsson
Main Conference Track
Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search Yuichi Inoue, Kou Misaki, Yuki Imajuku, So Kuroki, Taishi Nakamura, Takuya Akiba
Main Conference Track
Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval Shuang Zhang, Yue Wu, Lei Shi, Yingxue Zhang, Feifei Kou, Huilong Jin, Pengfei Zhang, Meiyu Liang, Mingying Xu
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OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts Shiting (Ginny) Xiao, Rishabh Kabra, Yuhang Li, Donghyun Lee, Joao Carreira, Priyadarshini Panda
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DynaAct: Large Language Model Reasoning with Dynamic Action Spaces Xueliang Zhao, Wei Wu, Jian Guan, Qintong Li, Lingpeng Kong
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A Compressive-Expressive Communication Framework for Compositional Representations Rafael Elberg, Felipe del Rio, Mircea Petrache, Denis Parra
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Improving Time Series Forecasting via Instance-aware Post-hoc Revision Zhiding Liu, Mingyue Cheng, Guanhao Zhao, Jiqian Yang, Qi Liu, Enhong Chen
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NeurIPS should lead scientific consensus on AI policy Error
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Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs Mana Sakai, Ryo Karakida, Masaaki Imaizumi
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FedEL: Federated Elastic Learning for Heterogeneous Devices Letian Zhang, Bo Chen, Jieming Bian, Lei Wang, Jie Xu
Main Conference Track
PhySense: Sensor Placement Optimization for Accurate Physics Sensing Yuezhou Ma, Haixu Wu, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long
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Risk Bounds For Distributional Regression Carlos Misael Madrid Padilla, OSCAR HERNAN MADRID PADILLA, Sabyasachi Chatterjee
Main Conference Track
Scalable and Cost-Efficient de Novo Template-Based Molecular Generation Piotr Gaiński, Oussama Boussif, Andrei Rekesh, Dmytro Shevchuk, Ali Parviz, Mike Tyers, Robert A. Batey, Michał Koziarski
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InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems Noam Elata, Hyungjin Chung, Jong Chul Ye, Tomer Michaeli, Miki Elad
Main Conference Track
MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection shengtian yang, Yue Feng, Yingshi Liu, Jingrou Zhang, Jie Qin
Main Conference Track
Intrinsic Goals for Autonomous Agents: Model-Based Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-Brain Dynamics Reece Keller, Alyn Kirsch, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi
Main Conference Track
Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks Jieyuan (Eric) Zhang, Xiaolong Zhou, Shuai Wang, Wenjie Wei, Hanwen Liu, Qian Sun, Malu Zhang, Yang Yang, Haizhou Li
Main Conference Track
MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details Ruicheng Wang, Sicheng Xu, Yue Dong, Yu Deng, Jianfeng Xiang, Zelong Lv, Guangzhong Sun, Xin Tong, Jiaolong Yang
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Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization Tianjun Yao, Haoxuan Li, Yongqiang Chen, Tongliang Liu, Le Song, Eric P Xing, Zhiqiang Shen
Main Conference Track
New Parallel and Streaming Algorithms for Directed Densest Subgraph Slobodan Mitrovic, Theodore Pan, Mahdi Qaempanah, Mohammad Amin Raeisi
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REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning Shuguang Wang, Qian Zhou, Kui Wu, Dapeng Wu, Wei-Bin Lee, Jianping Wang
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DreamLight: Towards Harmonious and Consistent Image Relighting Yong Liu, Wenpeng Xiao, Qianqian Wang, Junlin Chen, Shiyin Wang, Yitong Wang, Xinglong Wu, Yansong Tang
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Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks Francesco Cozzi, Marco Pangallo, Alan Perotti, André Panisson, Corrado Monti
Main Conference Track
Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training Shi Fu, Yingjie Wang, Yuzhu Chen, Li Shen, Dacheng Tao
Main Conference Track
Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants Gangda Deng, Hongkuan Zhou, Rajgopal Kannan, Viktor Prasanna
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Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior Yue Gong, Raul Fernandez
Main Conference Track
Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation Kang Zhang, Trung X. Pham, Suyeon Lee, Axi Niu, Arda Senocak, Joon Son Chung
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VideoCAD: A Dataset and Model for Learning Long‑Horizon 3D CAD UI Interactions from Video Error
Datasets and Benchmarks Track
AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning Wei Fu, Jiaxuan Gao, Xujie Shen, Chen Zhu, Zhiyu Mei, Chuyi He, Shusheng Xu, Guo Wei, Jun Mei, Jiashu Wang, Tongkai Yang, Binhang Yuan, YI WU
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Continual Knowledge Adaptation for Reinforcement Learning Jinwu Hu, ZiHao Lian, Zhiquan Wen, Chenghao Li, Guohao Chen, Xutao Wen, Bin Xiao, Mingkui Tan
Main Conference Track
Fully Dynamic Algorithms for Chamfer Distance Gramoz Goranci, Shaofeng Jiang, Peter Kiss, Eva Szilagyi, Qiaoyuan Yang
Main Conference Track
PlanarGS: High-Fidelity Indoor 3D Gaussian Splatting Guided by Vision-Language Planar Priors Xirui Jin, Renbiao Jin, Boying Li, Danping Zou, Wenxian Yu
Main Conference Track
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation Linhao Luo, Zicheng Zhao, Reza Haffari, Dinh Phung, Chen Gong, Shirui Pan
Main Conference Track
On the Convergence of Single-Timescale Actor-Critic Navdeep Kumar, Priyank Agrawal, Giorgia Ramponi, Kfir Y. Levy, Shie Mannor
Main Conference Track
A Generalized Binary Tree Mechanism for Private Approximation of All-Pair Shortest Distances Zongrui Zou, Chenglin Fan, Michael Dinitz, Jingcheng Liu, Jalaj Upadhyay
Main Conference Track
Learning Provably Improves the Convergence of Gradient Descent Qingyu Song, Wei Lin, Hong Xu
Main Conference Track
Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM Xiaoyu Wu, Yifei Pang, Terrance Liu, Steven Z. Wu
Main Conference Track
Which Algorithms Have Tight Generalization Bounds? Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
Main Conference Track
Scalable In-context Ranking with Generative Models Nilesh Gupta, Chong You, Srinadh Bhojanapalli, Sanjiv Kumar, Inderjit Dhillon, Felix Yu
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LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas Yun Hua, Shang Gao, Wenhao Li, Haosheng Chen, Bo Jin, Xiangfeng Wang, Jun Luo, Hongyuan Zha
Main Conference Track
PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-vehicle Driver Monitoring Wang, Xiao Yang, Qingyong Hu, Jack Tang, Can Liu, Dengbo He, Yuntao Wang, Yingcong Chen, Kaishun Wu
Datasets and Benchmarks Track
A Black-Box Debiasing Framework for Conditional Sampling Han Cui, Jingbo Liu
Main Conference Track
Disentangling Hyperedges through the Lens of Category Theory Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park
Main Conference Track
Implicit Modeling for Transferability Estimation of Vision Foundation Models Yaoyan Zheng, Huiqun Wang, Nan Zhou, Di Huang
Main Conference Track
Parameterized Synthetic Text Generation with SimpleStories Error
Datasets and Benchmarks Track
Human-assisted Robotic Policy Refinement via Action Preference Optimization Wenke Xia, Yichu Yang, Hongtao Wu, Xiao Ma, Tao Kong, Di Hu
Main Conference Track
JAMUN: Bridging Smoothed Molecular Dynamics and Score-Based Learning for Conformational Ensemble Generation Ameya Daigavane, Bodhi Vani, Darcy Davidson, Saeed Saremi, Joshua Rackers, Joseph Kleinhenz
Main Conference Track
Q-Insight: Understanding Image Quality via Visual Reinforcement Learning Weiqi Li, Xuanyu Zhang, Shijie Zhao, Yabin ZHANG, Junlin Li, Li zhang, Jian Jun Zhang
Main Conference Track
Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space Jiyoung Park, Abhishek Roy, Jonathan W. Siegel, Anirban Bhattacharya
Main Conference Track
Pinpointing Attention-Causal Communication in Language Models Gabriel Franco, Mark Crovella
Main Conference Track
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Error
Datasets and Benchmarks Track
AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping Haonan Dong, Wenhao Zhu, Guojie Song, Liang Wang
Main Conference Track
BADiff: Bandwidth Adaptive Diffusion Model Xi Zhang, Hanwei Zhu, Yan Zhong, Jiamang Wang, Weisi Lin
Main Conference Track
UMoE: Unifying Attention and FFN with Shared Experts Yuanhang Yang, Chaozheng Wang, Jing Li
Main Conference Track
Optimizing Retrieval for RAG via Reinforcement Learning Jiawei Zhou, Lei Chen
Main Conference Track
Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation Wenbin An, Jiahao Nie, Feng Tian, Haonan Lin, mingxiang cai, Yaqiang Wu, QianYing Wang, Xiaoqin Zhang, Shijian Lu
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Modeling the Economic Impacts of AI Openness Regulation Tori Qiu, Benjamin Laufer, Jon Kleinberg, Hoda Heidari
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One-Step Diffusion-Based Image Compression with Semantic Distillation Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Yuan Zhang, Yan Lu
Main Conference Track
The Structural Complexity of Matrix-Vector Multiplication Emile Anand, Jan van den Brand, Rose McCarty
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Knee-Deep in C-RASP: A Transformer Depth Hierarchy Andy J Yang, Michaël Cadilhac, David Chiang
Main Conference Track
Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents Jane Lee, Baturay Saglam, Spyridon Pougkakiotis, Amin Karbasi, Dionysis Kalogerias
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Program Synthesis via Test-Time Transduction Kang-il Lee, Jahyun Koo, Seunghyun Yoon, Minbeom Kim, Hyukhun Koh, Dongryeol Lee, Kyomin Jung
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Causal LLM Routing: End-to-End Regret Minimization from Observational Data Asterios Tsiourvas, Wei Sun, Georgia Perakis
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Non-Adaptive Adversarial Face Generation Sunpill Kim, Seunghun Paik, Chanwoo Hwang, Minsu Kim, Jae Hong Seo
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Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization Yiran Yang, Rui Chen
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Multipole Attention for Efficient Long Context Reasoning Coleman Hooper, Sebastian Zhao, Luca Manolache, Sehoon Kim, Michael W. Mahoney, Sophia Shao, Kurt Keutzer, Amir Gholami
Main Conference Track
QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training David Dai, Peilin Chen, Chanakya Ekbote, Paul Liang
Main Conference Track
Continuous Domain Generalization Zekun CAI, Yiheng YAO, Guangji Bai, Renhe Jiang, Xuan Song, Ryosuke Shibasaki, Liang Zhao
Main Conference Track
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections Xin Yu, Yujia Wang, Jinghui Chen, Lingzhou Xue
Main Conference Track
What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains Chanakya Ekbote, Ashok Vardhan Makkuva, Marco Bondaschi, Nived Rajaraman, Michael Gastpar, Jason D. Lee, Paul Liang
Main Conference Track
3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding Chang Wu, ZHIYUAN LIU, Wen Shu, Liang Wang, Yanchen Luo, Wenqiang Lei, Yatao Bian, Junfeng Fang, Xiang Wang
Main Conference Track
Text to Sketch Generation with Multi-Styles Tengjie Li, Shikui Tu, Lei Xu
Main Conference Track
HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations Junxi Xiao, Qinliang Su, Zexin Yuan
Main Conference Track
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation Siyuan Huang, Liliang Chen, Pengfei Zhou, Shengcong Chen, Yue Liao, Zhengkai Jiang, Yue Hu, Peng Gao, Hongsheng Li, Maoqing Yao, Guanghui Ren
Main Conference Track
Learning Parameterized Skills from Demonstrations Vedant Gupta, Haotian Fu, Calvin Luo, Yiding Jiang, George Konidaris
Main Conference Track
GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity Seongheon Park, Sharon Li
Main Conference Track
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm Yang Chen, Menglin Zou, Jiaqi Zhang, Yitan Zhang, Junyi Yang, Gaël Gendron, Libo Zhang, Jiamou Liu, Michael Witbrock
Main Conference Track
Generative Trajectory Stitching through Diffusion Composition Yunhao Luo, Utkarsh Mishra, Yilun Du, Danfei Xu
Main Conference Track
Majority of the Bests: Improving Best-of-N via Bootstrapping Amin Rakhsha, Kanika Madan, Tianyu Zhang, Amir-massoud Farahmand, Amir Khasahmadi
Main Conference Track
Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model Haoxin Sun, Yubo Sun, Xiaotian Zhou, Zhongzhi Zhang
Main Conference Track
Towards Reliable Identification of Diffusion-based Image Manipulations Alex Costanzino, Woody Bayliss, Juil Sock, Marc Gorriz Blanch, Danijela Horak, Ivan Laptev, Philip H.S. Torr, Fabio Pizzati
Main Conference Track
Path-specific effects for pulse-oximetry guided decisions in critical care Kevin Zhang, Yonghan Jung, Divyat Mahajan, Karthikeyan Shanmugam, Shalmali Joshi
Main Conference Track
Graph Your Own Prompt Xi Ding, Lei Wang, Piotr Koniusz, Yongsheng Gao
Main Conference Track
ModHiFi: Identifying High Fidelity predictive components for Model Modification Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak, Tanay Narshana, Chiranjib Bhattacharyya
Main Conference Track
Ambient Diffusion Omni: Training Good Models with Bad Data Giannis Daras, Adrian Rodriguez-Munoz, Adam Klivans, Antonio Torralba, Constantinos Daskalakis
Main Conference Track
Provable Meta-Learning with Low-Rank Adaptations Jacob Block, Sundararajan Srinivasan, Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
Main Conference Track
Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms Guangyi Zhang, Yanhao Wang, Chengliang Chai, Qiyu Liu, Wei Wang
Main Conference Track
Absence Bench: Language Models Can’t See What’s Missing Error
Datasets and Benchmarks Track
Neighborhood Self-Dissimilarity Attention for Medical Image Segmentation Junren Chen, Rui Chen, Wei Wang, Junlong Cheng, Gang Liang, zhanglei-scu, Liangyin Chen
Main Conference Track
Stochastic Process Learning via Operator Flow Matching Yaozhong Shi, Zachary Ross, Domniki Asimaki, Kamyar Azizzadenesheli
Main Conference Track
Emergence and scaling laws in SGD learning of shallow neural networks Yunwei Ren, Eshaan Nichani, Denny Wu, Jason D. Lee
Main Conference Track
Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling Tianyi Tan, Yinan Zheng, Ruiming Liang, Zexu Wang, Kexin ZHENG, Jinliang Zheng, Jianxiong Li, Xianyuan Zhan, Jingjing Liu
Main Conference Track
A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond Yipeng Li, Xinchen Lyu, Zhenyu Liu
Main Conference Track
LTD-Bench: Evaluating Large Language Models by Letting Them Draw Liuhao Lin, Ke Li, Zihan Xu, Yuchen Shi, Yulei Qin, Yan Zhang, Xing Sun, Rongrong Ji
Datasets and Benchmarks Track
Efficient Low Rank Attention for Long-Context Inference in Large Language Models Li Tenghui, Guoxu Zhou, Xuyang Zhao, Yuning Qiu, Qibin Zhao
Main Conference Track
Hybrid Latent Representations for PDE Emulation Ali Can Bekar, Siddhant Agarwal, Christian Hüttig, Nicola Tosi, David Greenberg
Main Conference Track
Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization Zixuan Huang, Yikun Ban, Lean Fu, Xiaojie Li, Zhongxiang Dai, Jianxin Li, deqing wang
Main Conference Track
Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations Xuyang Zhong, Yixiao Huang, Chen Liu
Main Conference Track
Adversary Aware Optimization for Robust Defense Daniel Wesego, Pedram Rooshenas
Main Conference Track
Latency NMS Attacks: Is It Real Life or Is It Just Fantasy? Jean-Philippe Monteuuis, Cong Chen, Jonathan Petit
Main Conference Track
When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners Weixiang Zhao, Jiahe Guo, Yang Deng, Tongtong Wu, Wenxuan Zhang, Yulin Hu, Xingyu Sui, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu
Main Conference Track
Non-rectangular Robust MDPs with Normed Uncertainty Sets Navdeep Kumar, Adarsh Gupta, Maxence Mohamed ELFATIHI, Giorgia Ramponi, Kfir Y. Levy, Shie Mannor
Main Conference Track
Uncovering the Spectral Bias in Diagonal State Space Models Ruben Solozabal, Velibor Bojkovic, Hilal AlQuabeh, Kentaro Inui, Martin Takac
Main Conference Track
Information Theoretic Learning for Diffusion Models with Warm Start Yirong Shen, Lu GAN, Cong Ling
Main Conference Track
Understanding Data Influence in Reinforcement Finetuning Haoru Tan, Xiuzhe Wu, Sitong Wu, Shaofeng Zhang, Yanfeng Chen, Xingwu Sun, Jeanne Shen, Xiaojuan Qi
Main Conference Track
ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive Xinhao Luo, Zihan Liu, Yangjie Zhou, Shihan Fang, Ziyu Huang, Yu Feng, Chen Zhang, Shixuan Sun, Zhenzhe Zheng, Jingwen Leng, Minyi Guo
Main Conference Track
MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions Pucheng Dang, Di Huang, Dong Li, Kang Chen, Yuanbo Wen, Qi Guo, Xing Hu
Main Conference Track
Know What You Don't Know: Uncertainty Calibration of Process Reward Models Young-Jin Park, Kristjan Greenewald, Kaveh Alimohammadi, Hao Wang, Navid Azizan
Main Conference Track
Learning Interestingness in Automated Mathematical Theory Formation George Tsoukalas, Rahul Saha, Amitayush Thakur, Sabrina Reguyal, Swarat Chaudhuri
Main Conference Track
Memory Mosaics at scale Jianyu Zhang, Leon Bottou
Main Conference Track
Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis Konstantinos Oikonomidis, Jan Quan, Panagiotis Patrinos
Main Conference Track
Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang, Xin Luo, Xin-Shun Xu
Main Conference Track
ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning Jingyang Yi, Jiazheng Wang, Sida Li
Main Conference Track
A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning Yuzheng Hu, Fan Wu, Haotian Ye, David A. Forsyth, James Y Zou, Nan Jiang, Jiaqi Ma, Han Zhao
Main Conference Track
Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling haowei hua, Wanyu Lin
Main Conference Track
SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification Hsi-Ling Chen, Chun-Shien Lu, Pau-Choo Chung
Main Conference Track
Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis Jing Hao, Yuxuan Fan, Yanpeng Sun, Kaixin Guo, Lin Lizhuo, Jinrong Yang, Qiyong Ai, Lun Wong, Hao Tang, Kuo Hung
Datasets and Benchmarks Track
Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift Yi Zhang, Elynn Chen, Yujun Yan
Main Conference Track
FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery Geeho Kim, Jinu Lee, Bohyung Han
Main Conference Track
Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization Baoyi He, Luotian Yuan, Ying Wei, Fei Wu
Main Conference Track
Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization Subhojyoti Mukherjee, Viet Lai, Raghavendra Addanki, Ryan Rossi, Seunghyun Yoon, Trung Bui, Anup B. Rao, Jayakumar Subramanian, Branislav Kveton
Main Conference Track
Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity Enneng Yang, Anke Tang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie M. Zhang
Main Conference Track
Exponential Dynamic Energy Network for High Capacity Sequence Memory Arjun Karuvally, Pichsinee Lertsaroj, Terrence J. Sejnowski, Hava T. Siegelmann
Main Conference Track
MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition Hao Helen Zhang, Zhan Zhuang, Xuehao Wang, Xiaodong Yang, Yu Zhang
Main Conference Track
MoRIC: A Modular Region-based Implicit Codec for Image Compression Gen Li, Haotian Wu, Deniz Gunduz
Main Conference Track
RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality Chenlong Zhang, Zhuoran Jin, Hongbang Yuan, Jiaheng Wei, Tong Zhou, Kang Liu, Jun Zhao, Yubo Chen
Main Conference Track
Selective Omniprediction and Fair Abstention Sílvia Casacuberta, Varun Kanade
Main Conference Track
PINNs with Learnable Quadrature Sourav Pal, Kamyar Azizzadenesheli, Vikas Singh
Main Conference Track
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families Felipe Maia Polo, Seamus Somerstep, Leshem Choshen, Yuekai Sun, Mikhail Yurochkin
Main Conference Track
Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries Haoxiang Wang, Zinan Lin, Da Yu, Huishuai Zhang
Main Conference Track
VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture Maonan Wang, Yirong Chen, Aoyu Pang, Yuxin Cai, Chung Shue Chen, Yuheng Kan, Man On Pun
Main Conference Track
DataSIR: A Benchmark Dataset for Sensitive Information Recognition Fan Mo, Bo Liu, Yuan Fan, Kun Qin, Yizhou Zhao, Jinhe Zhou, Jia Sun, Jinfei Liu, Kui Ren
Datasets and Benchmarks Track
Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data Chen Fan, Mark Schmidt, Christos Thrampoulidis
Main Conference Track
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees Hoang Nguyen, Priya Donti
Main Conference Track
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh, Osvaldo Simeone
Main Conference Track
Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba, Binyamin Perets, Shie Mannor
Main Conference Track
DAMamba: Vision State Space Model with Dynamic Adaptive Scan Tanzhe Li, Caoshuo Li, Jiayi Lyu, Hongjuan Pei, Baochang Zhang, Taisong Jin, Rongrong Ji
Main Conference Track
Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu
Main Conference Track
KnowMol: Advancing Molecular Large Language Models with Multi-Level Chemical Knowledge Error
Datasets and Benchmarks Track
Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning Wei Wu, Yuxing Lu, Zhengrui Guo, Chi Zhang, Can Liao, Yifan Bu, Fangxu Zhou, Jinzhuo Wang
Main Conference Track
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Dongzhi JIANG, Ziyu Guo, Renrui Zhang, ZHUOFAN ZONG, Hao Li, Le Zhuo, Shilin Yan, Pheng-Ann Heng, Hongsheng Li
Main Conference Track
All that structure matches does not glitter Maya Martirossyan, Thomas Egg, Philipp Höllmer, George Karypis, Mark Transtrum, Adrian Roitberg, Mingjie Liu, Richard Hennig, Ellad Tadmor, Stefano Martiniani
Datasets and Benchmarks Track
Caption This, Reason That: VLMs Caught in the Middle Zihan Weng, Lucas Gomez, Taylor Webb, Pouya Bashivan
Main Conference Track
Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach Haitong Ma, Haoran Yu, Haobo Fu, Shuai Li
Main Conference Track
PLEIADES: Building Temporal Kernels with Orthogonal Polynomials Yan Ru Pei, Olivier Coenen
Main Conference Track
Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs Tengyun Ma, Jiaqi Yao, Daojing He, Shihao Peng, YU LI, Shaohui Liu, Zhuotao Tian
Main Conference Track
MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition Umberto Cappellazzo, Minsu Kim, Pingchuan Ma, Honglie Chen, Xubo Liu, Stavros Petridis, Maja Pantic
Main Conference Track
SAFE: Multitask Failure Detection for Vision-Language-Action Models Qiao Gu, Yuanliang Ju, Shengxiang Sun, Igor Gilitschenski, Haruki Nishimura, Masha Itkina, Florian Shkurti
Main Conference Track
Secure and Confidential Certificates of Online Fairness Olive Franzese, Ali Shahin Shamsabadi, Carter Luck, Hamed Haddadi
Main Conference Track
DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks Canyu Zhao, Yanlong Sun, Mingyu Liu, Huanyi Zheng, Muzhi Zhu, Zhiyue Zhao, Hao Chen, Tong He, Chunhua Shen
Main Conference Track
Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable Bicheng Ying, Zhe Li, Haibo Yang
Main Conference Track
Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision Chenshuang Zhang, Kang Zhang, Joon Son Chung, In So Kweon, Junmo Kim, Chengzhi Mao
Main Conference Track
FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis xichen xu, Yanshu Wang, Jinbao Wang, XiaoNing Lei, Guoyang Xie, GUANNAN JIANG, Zhichao Lu
Main Conference Track
SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound Error
Datasets and Benchmarks Track
Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction Jialin Zhao, Alessandro Muscoloni, Umberto Michieli, Yingtao Zhang, Carlo Vittorio Cannistraci
Main Conference Track
Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention Mumin Jia, Jairo Diaz-Rodriguez
Main Conference Track
Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis Jianqi Feng, Chengchun Shi, Zhenke Wu, Xiaodong Yan, Wei Zhao
Main Conference Track
MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation Ning Li, Xiangmou Qu, Jiamu Zhou, Muning Wen, Kounianhua Du, Xingyu Lou, Qiuying Peng, Jun Wang, Weinan Zhang
Main Conference Track
AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees Yangning Li, Shaoshen Chen, Yinghui Li, Yankai Chen, Hai-Tao Zheng, Hui Wang, Wenhao Jiang, Philip S Yu
Main Conference Track
CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models Error
Datasets and Benchmarks Track
Spectral Convolutional Conditional Neural Processes Peiman Mohseni, Nick Duffield
Main Conference Track
Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng
Main Conference Track
Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL Tong Yang, Bo Dai, Lin Xiao, Yuejie Chi
Main Conference Track
Explaining the Law of Supply and Demand via Online Learning Stratis Skoulakis
Main Conference Track
On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls Emmeran Johnson, David Martínez-Rubio, Ciara Pike-Burke, Patrick Rebeschini
Main Conference Track
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection Michelle Yuan, Khushbu Pahwa, Shuaichen Chang, Mustafa Kaba, Jiarong Jiang, Xiaofei Ma, Yi Zhang, MONICA SUNKARA
Main Conference Track
Principled Model Routing for Unknown Mixtures of Source Domains Christoph Dann, Yishay Mansour, Teodor Vanislavov Marinov, Mehryar Mohri
Main Conference Track
A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective Lianghe Shi, Meng Wu, Huijie Zhang, Zekai Zhang, Molei Tao, Qing Qu
Main Conference Track
TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs Yunheng Li, Jing Cheng, Shaoyong Jia, Hangyi Kuang, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng
Main Conference Track
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play Zelai Xu, Ruize Zhang, Chao Yu, Huining Yuan, Xiangmin Yi, Shilong Ji, Chuqi Wang, Wenhao Tang, Feng Gao, Wenbo Ding, Xinlei Chen, Yu Wang
Datasets and Benchmarks Track
Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks Jiawei Gu, Ziyue Qiao, Zechao Li
Main Conference Track
Uncertainty-Guided Exploration for Efficient AlphaZero Training Scott Cheng, Meng-Yu Tsai, Ding-Yong Hong, Mahmut T Kandemir
Main Conference Track
Flow-GRPO: Training Flow Matching Models via Online RL Jie Liu, Gongye Liu, Jiajun Liang, Yangguang Li, Jiaheng Liu, Xintao Wang, Pengfei Wan, Di ZHANG, Wanli Ouyang
Main Conference Track
Improving Monte Carlo Tree Search for Symbolic Regression Zhengyao Huang, Daniel Huang, Tiannan Xiao, Dina Ma, Zhenyu Ming, Hao Shi, Yuanhui Wen
Main Conference Track
Learning and Planning Multi-Agent Tasks via an MoE-based World Model Zijie Zhao, Zhongyue Zhao, Kaixuan Xu, Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
Main Conference Track
EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Yantai Yang, Yuhao Wang, Zichen Wen, Luo Zhongwei, Chang Zou, Zhipeng Zhang, Chuan Wen, Linfeng Zhang
Main Conference Track
BRACE: A Benchmark for Robust Audio Caption Quality Evaluation Error
Datasets and Benchmarks Track
HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses Zhichao Deng, Zhikun Liu, Junxue Wang, Shengqian Chen, Xiang Wei, Qiang Yu
Main Conference Track
Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport Taoran Zheng, Yan Yang, Xing Li, Xiang Gu, Jian Sun, Zongben Xu
Main Conference Track
Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs Yibo Wang, Hai-Long Sun, Guangda Huzhang, Qingguo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang
Main Conference Track
Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions Marc Brooks, Gabriel Durham, Kihyuk Hong, Ambuj Tewari
Main Conference Track
Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation Shanchuan Lin, Ceyuan Yang, Hao He, Jianwen Jiang, Yuxi Ren, Xin Xia, Yang Zhao, Xuefeng Xiao, Lu Jiang
Main Conference Track
DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference Chong Wu, Jiawang Cao, Renjie Xu, Zhuoheng Ran, Maolin Che, Wenbo Zhu, Hong Yan
Main Conference Track
Bi-Directional Communication-Efficient Stochastic FL via Remote Source Generation Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gunduz
Main Conference Track
Unified Transferability Metrics for Time Series Foundation Models Weiyang Zhang, Xinyang Chen, Xiucheng Li, Kehai Chen, Weili Guan, Liqiang Nie
Main Conference Track
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals Qinfan Xiao, Ziyun Cui, Chi Zhang, SiQi Chen, Wen Wu, Andrew Thwaites, Alexandra Woolgar, Bowen Zhou, Chao Zhang
Main Conference Track
Knowing When to Stop: Efficient Context Processing via Latent Sufficiency Signals Roy Xie, Junlin Wang, Paul Rosu, Chunyuan Deng, Bolun Sun, Zihao Lin, Bhuwan Dhingra
Main Conference Track
Sequential Monte Carlo for Policy Optimization in Continuous POMDPs Hany Abdulsamad, Sahel Mohammad Iqbal, Simo Sarkka
Main Conference Track
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models JIPENG LI, Yanning Shen
Main Conference Track
GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection Jiaming Li, Zhijia Liang, Weikai Chen, Lin Ma, Guanbin Li
Main Conference Track
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Jonas Geiping, Sean McLeish, Neel Jain, John Kirchenbauer, Siddharth Singh, Brian Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Tom Goldstein
Main Conference Track
Reward-oriented Causal Representation Learning Zirui Yan, Emre Acartürk, Ali Tajer
Main Conference Track
OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement Ye Tian, Angela McCarthy, Gabriel Gomide, Nancy Liddle, Jedrzej Golebka, Royce Chen, Jeff Liebmann, Kaveri Thakoor
Main Conference Track
SmokeViz: A Large-Scale Satellite Dataset for Wildfire Smoke Detection and Segmentation Error
Datasets and Benchmarks Track
UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes Yuang Meng, Xin Jin, Lina Lei, Chun-Le Guo, Chongyi Li
Main Conference Track
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, Tommi Jaakkola
Main Conference Track
Model-Based Policy Adaptation for Closed-Loop End-to-end Autonomous Driving Haohong Lin, Yunzhi Zhang, Wenhao Ding, Jiajun Wu, DING ZHAO
Main Conference Track
From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics Zheng-An Chen, Tao Luo
Main Conference Track
Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? Error
Datasets and Benchmarks Track
APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning Azim Ospanov, Farzan Farnia, Roozbeh Mohit
Main Conference Track
RePO: Understanding Preference Learning Through ReLU-Based Optimization Junkang Wu, Kexin Huang, xue wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
Main Conference Track
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi, Yibin Wang, Ligong Han, Huan Zhang, Hao Wang
Main Conference Track
Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning Achleshwar Luthra, Tianbao Yang, Tomer Galanti
Main Conference Track
RANK++LETR: Learn to Rank and Optimize Candidates for Line Segment Detection Xin Tong, Baojie Tian, Yufei Guo, Zhe Ma
Main Conference Track
Eliciting Reasoning in Language Models with Cognitive Tools Brown Wilfried Ebouky Doualla Dina, Andrea Bartezzaghi, Mattia Rigotti
Main Conference Track
Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion Xi Zhang, Yanyi Li, Yisi Luo, Qi Xie, Deyu Meng
Main Conference Track
Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models Sreyan Ghosh, Arushi Goel, Jaehyeon Kim, Sonal Kumar, Zhifeng Kong, Sang-gil Lee, Chao-Han Huck Yang, Ramani Duraiswami, Dinesh Manocha, Rafael Valle, Bryan Catanzaro
Main Conference Track
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness Stephen Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Arciniegas, Lillian Sung, Nnamdi Ezeanochie, Heather Cole-Lewis, Katherine A. Heller, Sanmi Koyejo, Alexander D'Amour
Main Conference Track
A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data Dongguen Kim, Young-Geun Choi, Minwoo Chae
Main Conference Track
Learn2Mix: Training Neural Networks Using Adaptive Data Integration Shyam Venkatasubramanian, Vahid Tarokh
Main Conference Track
Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models Yuheng Tang, Hongwei Li, Kaijie Zhu, Michael Yang, Yangruibo Ding, Wenbo Guo
Main Conference Track
Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code Augusto B. Corrêa, André G. Pereira, Jendrik Seipp
Main Conference Track
FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies Shuqiao Liang, Jian Liu, Chen Renzhang, Quanlong Guan
Main Conference Track
Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues Chinmay Talegaonkar, Nikhil Gandudi Suresh, Zachary Novack, Yash Belhe, Priyanka Nagasamudra, Nicholas Antipa
Main Conference Track
Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets Shaocong Ma, Heng Huang
Main Conference Track
SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation He Yang, Dongyi Lv, Song Ma, Wei Xi, Jizhong Zhao
Main Conference Track
Estimating Hitting Times Locally at Scale Themistoklis Haris, Fabian Spaeh, Spyridon Konstantinos Dragazis, Charalampos Tsourakakis
Main Conference Track
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces Yuanshao Zhu, James Yu, Xiangyu Zhao, Xun Zhou, Liang Han, Xuetao Wei, Yuxuan Liang
Main Conference Track
Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network Dahao Xu, Jiahua Rao, Mingming Zhu, Jixian Zhang, Wei Lu, Shuangjia Zheng, Yuedong Yang
Main Conference Track
OmniDraft: A cross-vocabulary, online adaptive drafter for on-device speculative decoding Ramchalam Kinattinkara Ramakrishnan, Zhaocong Yuan, Jay Zhuo, Chen Feng, Yicheng Lin, Chenzheng Su, Xiaopeng Zhang
Main Conference Track
Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers Zeyuan Allen-Zhu
Main Conference Track
Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs Yi Hu, Shijia Kang, Haotong Yang, Haotian Xu, Muhan Zhang
Main Conference Track
Asymmetric Dual-Lens Video Deblurring Zeyu Xiao, Xinchao Wang
Main Conference Track
Image Stitching in Adverse Condition: A Bidirectional-Consistency Learning Framework and Benchmark Zengxi Zhang, Junchen Ge, Zhiying Jiang, Miao Zhang, Jinyuan Liu
Main Conference Track
Efficient Adaptive Experimentation with Noncompliance Miruna Oprescu, Brian Cho, Nathan Kallus
Main Conference Track
OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization Yixuan Yang, Zhen Luo, Tongsheng Ding, Junru Lu, Mingqi Gao, Jinyu Yang, Victor Sanchez, Feng Zheng
Main Conference Track
NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling Hao Zheng, Shiyu Liang, Yuting Zheng, Chaofan Sun, LEI BAI, Enhui Liao
Main Conference Track
RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais, Serge Belongie, Anjan Dutta
Main Conference Track
MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification Yingying Feng, Jie Li, Jie Hu, Yukang Zhang, Lei Tan, Jiayi Ji
Main Conference Track
4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos Zhen Xu, Zhengqin Li, Zhao Dong, Xiaowei Zhou, Richard Newcombe, Zhaoyang Lv
Main Conference Track
Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization Pritam Sarkar, Ali Etemad
Main Conference Track
Demystifying Spectral Feature Learning for Instrumental Variable Regression Dimitri Meunier, Antoine Moulin, Jakub Wornbard, Vladimir Kostic, Arthur Gretton
Main Conference Track
Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains Marianne Rakic, Siyu Gai, Etienne Chollet, John Guttag, Adrian Dalca
Main Conference Track
SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation Chenyang Le, Bing Han, Jinshun Li, Songyong Chen, Yanmin Qian
Main Conference Track
STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model Yuang Qi, Na Zhao, Qiyi Yao, Benlong Wu, Weiming Zhang, Nenghai Yu, Kejiang Chen
Main Conference Track
How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation Xin Lu, Yanyan Zhao, Si Wei, Shijin Wang, Bing Qin, Ting Liu
Main Conference Track
Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration 俊琪高, Zhichang Guo, Dazhi Zhang, Dong Li, Runze Liu, Pengfei Li, Kai Tian, Biqing Qi
Main Conference Track
Median Selection with Noisy and Structural Information Chenglin Fan, Mingyu Kang
Main Conference Track
Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning Jiayu Zhang, Changbang Li, Yinan Peng, Weihao Luo, Peilai Yu, Xuan Zhang
Main Conference Track
A$^3$E: Towards Compositional Model Editing Hongming Piao, Hao Wang, Dapeng Wu, Ying Wei
Main Conference Track
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol Pai Liu, Lingfeng Zhao, Shivangi Agarwal, Jinghan Liu, Audrey Huang, Philip Amortila, Nan Jiang
Main Conference Track
PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts Yiming Wang, Pei Zhang, Jialong Tang, Hao-Ran Wei, Baosong Yang, Rui Wang, Chenshu Sun, Feitong Sun, Jiran Zhang, Junxuan Wu, Qiqian Cang, Yichang Zhang, Junyang Lin, Fei Huang, Jingren Zhou
Datasets and Benchmarks Track
On the Hardness of Approximating Distributions with Tractable Probabilistic Models John Leland, YooJung Choi
Main Conference Track
Gradient Multi-Normalization for Efficient LLM Training Meyer Scetbon, Chao Ma, Wenbo Gong, Ted Meeds
Main Conference Track
Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding Hanyin Wang, Zhenbang Wu, Gururaj Kolar, Hariprasad Korsapati, Brian Bartlett, Bryan Hull, Jimeng Sun
Main Conference Track
Channel Simulation and Distributed Compression with Ensemble Rejection Sampling Truong Buu Phan, Ashish Khisti
Main Conference Track
NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache Donghyun Son, Euntae Choi, Sungjoo Yoo
Main Conference Track
SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks Xinyu Luo, Kecheng Chen, Pao-Sheng Sun, Chris Xing TIAN, Arindam Basu, Haoliang Li
Main Conference Track
The Structure of Relation Decoding Linear Operators in Large Language Models Miranda Anna Christ, Adrián Csiszárik, Gergely Becsó, Dániel Varga
Main Conference Track
Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs Yaming Yang, Ziyu Zheng, Weigang Lu, Zhe Wang, Xinyan Huang, Wei Zhao, Ziyu Guan
Main Conference Track
AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents Hanjun Luo, Shenyu Dai, Chiming Ni, Xinfeng Li, Guibin Zhang, Kun Wang, Tongliang Liu, Hanan Salam
Main Conference Track
Balancing Gradient and Hessian Queries in Non-Convex Optimization Deeksha Adil, Brian Bullins, Aaron Sidford, Chenyi Zhang
Main Conference Track
Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points Naoya Yamamoto, Juno Kim, Taiji Suzuki
Main Conference Track
ROGR: Relightable 3D Objects using Generative Relighting Jiapeng Tang, Matthew Levine, Dor Verbin, Stephan Garbin, Matthias Niessner, Ricardo Martin Brualla, Pratul P. Srinivasan, Philipp Henzler
Main Conference Track
The third pillar of causal analysis? A measurement perspective on causal representations Dingling Yao, Shimeng Huang, Riccardo Cadei, Kun Zhang, Francesco Locatello
Main Conference Track
SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens Yinhan He, Wendy Zheng, Yaochen Zhu, Zaiyi Zheng, Lin Su, Sriram Vasudevan, Qi Guo, Liangjie Hong, Jundong Li
Main Conference Track
Switchable Token-Specific Codebook Quantization For Face Image Compression Yongbo Wang, Haonan Wang, Guodong Mu, Ruixin Zhang, Jiaqi Chen, Jingyun Zhang, Jun Wang, Yuan Xie, zhizhong zhang, Shouhong Ding
Main Conference Track
Self-Verifying Reflection Helps Transformers with CoT Reasoning Zhongwei Yu, Wannian Xia, Xue Yan, Bo Xu, Haifeng Zhang, Yali Du, Jun Wang
Main Conference Track
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages Error
Datasets and Benchmarks Track
Quartet: Native FP4 Training Can Be Optimal for Large Language Models Roberto Castro, Andrei Panferov, Rush Tabesh, Oliver Sieberling, Jiale Chen, Mahdi Nikdan, Saleh Ashkboos, Dan Alistarh
Main Conference Track
Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers Peter Súkeník, Christoph H. Lampert, Marco Mondelli
Main Conference Track
SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era. Error
Position Paper Track
Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning Wenkai Yang, Shuming Ma, Yankai Lin, Furu Wei
Main Conference Track
On the SAC-BL Algorithm for Anomaly Detection Xinsong Ma, Jie Wu, Weiwei Liu
Main Conference Track
QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design Rui Yang, Ziruo Wang, Yuntian Gu, Yitao Liang, Tongyang Li
Datasets and Benchmarks Track
Revisiting Frank-Wolfe for Structured Nonconvex Optimization Hoomaan Maskan, Yikun Hou, Suvrit Sra, Alp Yurtsever
Main Conference Track
Dimensionality Mismatch Between Brains and Artificial Neural Networks Santiago Galella, Maren Wehrheim, Matthias Kaschube
Main Conference Track
UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations Elena Celledoni, Brynjulf Owren, Chong Shen, Baige Xu, Takaharu Yaguchi
Main Conference Track
OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics Error
Datasets and Benchmarks Track
Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu, Jian Tang
Main Conference Track
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning Xiaolin Sun, Feidi Liu, Zhengming Ding, Zizhan Zheng
Main Conference Track
Uni-LoRA: One Vector is All You Need Kaiyang Li, Shaobo Han, Qing Su, Wei Li, Zhipeng Cai, Shihao Ji
Main Conference Track
FACE: Faithful Automatic Concept Extraction Dipkamal Bhusal, Michael Clifford, Sara Rampazzi, Nidhi Rastogi
Main Conference Track
What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes Error
Datasets and Benchmarks Track
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection Pingbang Hu, Joseph Melkonian, Weijing Tang, Han Zhao, Jiaqi Ma
Main Conference Track
Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models Uladzislau Sobal, Wancong Zhang, Kyunghyun Cho, Randall Balestriero, Tim G. J. Rudner, Yann LeCun
Main Conference Track
Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples Suqin Yuan, Lei Feng, Bo Han, Tongliang Liu
Main Conference Track
Safety Pretraining: Toward the Next Generation of Safe AI Pratyush Maini, Sachin Goyal, Dylan Sam, Alexander Robey, Yash Savani, Yiding Jiang, Andy Zou, Matt Fredrikson, Zachary C. Lipton, Zico Kolter
Main Conference Track
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning Simin Li, Zihao Mao, Hanxiao Li, Zonglei Jing, Zhuohang bian, Jun Guo, Li Wang, Zhuoran Han, Ruixiao Xu, Xin Yu, Chengdong Ma, Yuqing Ma, Bo An, Yaodong Yang, Weifeng Lv, Xianglong Liu
Main Conference Track
Efficient Algorithms for Robust and Partial Semi-Discrete Optimal Transport Pankaj Agarwal, Sharath Raghvendra, Pouyan Shirzadian, Keegan Yao
Main Conference Track
C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning Kunlun Xu, Yibo Feng, Jiangmeng Li, Yongsheng Qi, Jiahuan Zhou
Main Conference Track
EgoThinker: Unveiling Egocentric Reasoning with Spatio-Temporal CoT Baoqi Pei, Yifei Huang, Jilan Xu, Yuping He, Guo Chen, Fei Wu, Jiangmiao Pang, Yu Qiao
Main Conference Track
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models Jesimon Barreto, Carlos Caetano, Andre Araujo, William Schwartz
Main Conference Track
DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance Maximilian Du, Shuran Song
Main Conference Track
Entropic Time Schedulers for Generative Diffusion Models Dejan Stancevic, Florian Handke, Luca Ambrogioni
Main Conference Track
LLM Unlearning via Neural Activation Redirection William Shen, Xinchi Qiu, Meghdad Kurmanji, Alexandru-Andrei Iacob, Lorenzo Sani, Yihong Chen, Nicola Cancedda, Nicholas D. Lane
Main Conference Track
Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks Gavin McCracken, Gabriela Moisescu-Pareja, Vincent Létourneau, Doina Precup, Jonathan Love
Main Conference Track
What Expressivity Theory Misses: Message Passing Complexity for GNNs Niklas Kemper, Tom Wollschläger, Stephan Günnemann
Main Conference Track
On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling Moritz Haas, Sebastian Bordt, Ulrike V. Luxburg, Leena Chennuru Vankadara
Main Conference Track
CPSea: Large-scale cyclic peptide-protein complex dataset for machine learning in cyclic peptide design Ziyi Yang, Hanyuan Xie, Yinjun Jia, Xiangzhe Kong, Jiqing Zheng, Ziting Zhang, Yang Liu, Lei Liu, Yanyan Lan
Datasets and Benchmarks Track
EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Videos Generation Error
Datasets and Benchmarks Track
Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement Yidi Liu, Xueyang Fu, Jie Huang, Jie Xiao, Dong Li, Wenlong Zhang, LEI BAI, Zheng-Jun Zha
Main Conference Track
Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs ChangHao Li, Yuchen Zhuang, Rushi Qiang, Haotian Sun, Hanjun Dai, Chao Zhang, Bo Dai
Main Conference Track
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection Reihaneh Zohrabi, Hosein Hasani, Mahdieh Baghshah, Anna Rohrbach, Marcus Rohrbach, Mohammad Hossein Rohban
Main Conference Track
In-Context Compositional Learning vis Sparse Coding Transformer Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu
Main Conference Track
LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs Ran Li, Hao Wang, Chengzhi Mao
Main Conference Track
Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models Sofiane Ennadir, Levente Zólyomi, Oleg Smirnov, Tianze Wang, John Pertoft, Filip Cornell, Lele Cao
Main Conference Track
Embodied Cognition Augmented End2End Autonomous Driving Ling Niu, Xiaoji Zheng, han wang, Ziyuan Yang, Chen Zheng, Bokui Chen, Jiangtao Gong
Main Conference Track
What Matters in Data for DPO? Yu Pan, Zhongze Cai, Huaiyang Zhong, Guanting Chen, Chonghuan Wang
Main Conference Track
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration Elif Arslan, Jacobus van der Linden, Serge Hoogendoorn, Marco Rinaldi, Emir Demirović
Main Conference Track
Active Test-time Vision-Language Navigation Heeju Ko, Sung June Kim, Gyeongrok Oh, Jeongyoon YOON, Honglak Lee, Sujin Jang, Seungryong Kim, Sangpil Kim
Main Conference Track
Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning Kai Jiang, Zhengyan Shi, Dell Zhang, Hongyuan Zhang, Xuelong Li
Main Conference Track
Neural Mutual Information Estimation with Vector Copulas Yanzhi Chen, Zijing Ou, Adrian Weller, Michael U. Gutmann
Main Conference Track
Resolution of Simpson's paradox via the common cause principle Arshak Hovhannisyan, Armen Allahverdyan
Main Conference Track
RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models Chenxu Niu, Jie M. Zhang, Yanbing Liu, Yunpeng Li, Jinta Weng, Yue Hu
Main Conference Track
Fixed-Point RNNs: Interpolating from Diagonal to Dense Sajad Movahedi, Felix Sarnthein, Nicola Muca Cirone, Antonio Orvieto
Main Conference Track
Understanding Generalization in Physics Informed Models through Affine Variety Dimensions Takeshi Koshizuka, Issei Sato
Main Conference Track
InstructRestore: Region-Customized Image Restoration with Human Instructions Shuaizheng Liu, Jianqi Ma, Lingchen Sun, Xiangtao Kong, Lei Zhang
Main Conference Track
Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding Jian Hu, Zixu Cheng, Shaogang Gong, Isabel Guan, Jianye Hao, Jun Wang, Kun Shao
Main Conference Track
PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion Linlian Jiang, Rui Ma, Li Gu, Ziqiang Wang, Xinxin Zuo, Yang Wang
Main Conference Track
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1 Zhaoyi Li, Xiaohan Zhao, Dong-Dong Wu, Jiacheng Cui, Zhiqiang Shen
Main Conference Track
Learning single index models via harmonic decomposition Nirmit Joshi, Hugo Koubbi, Theodor Misiakiewicz, Nati Srebro
Main Conference Track
OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents Thomas Kuntz, Agatha Duzan, Hao Zhao, Francesco Croce, Zico Kolter, Nicolas Flammarion, Maksym Andriushchenko
Datasets and Benchmarks Track
ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback Litao Guo, Xinli Xu, Luozhou Wang, Jiantao Lin, Jinsong Zhou, Zixin Zhang, Bolan Su, Yingcong Chen
Main Conference Track
SpatialLM: Training Large Language Models for Structured Indoor Modeling Yongsen Mao, Junhao Zhong, Chuan Fang, Jia Zheng, Rui Tang, Hao Zhu, Ping Tan, Zihan Zhou
Main Conference Track
Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming Zhao Song, Jianfei Xue, Lichen Zhang
Main Conference Track
$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time Error
Datasets and Benchmarks Track
VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set Shufan Shen, Junshu Sun, Qingming Huang, Shuhui Wang
Main Conference Track
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Hao Zhong, Muzhi Zhu, Zongze Du, Zheng Huang, Canyu Zhao, Mingyu Liu, Wen Wang, Hao Chen, Chunhua Shen
Main Conference Track
One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head Junhao Xia, Haotian Zhu, Shuchao Pang, Zhigang Lu, Bing Li, Yongbin Zhou, Minhui Xue
Main Conference Track
Ascent Fails to Forget Ioannis Mavrothalassitis, Pol Puigdemont, Noam Levi, Volkan Cevher
Main Conference Track
Causal Mixture Models: Characterization and Discovery Sarah Mameche, Janis Kalofolias, Jilles Vreeken
Main Conference Track
GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow Mengbo Wang, Shourya Verma, Aditya Malusare, Luopin Wang, Yiyang Lu, Vaneet Aggarwal, Mario Sola, Ananth Grama, Nadia Lanman
Main Conference Track
How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu
Main Conference Track
S$^2$NN: Sub-bit Spiking Neural Networks Wenjie Wei, Malu Zhang, Jieyuan (Eric) Zhang, Ammar Belatreche, Shuai Wang, Yimeng Shan, Hanwen Liu, Honglin Cao, Guoqing Wang, Yang Yang, Haizhou Li
Main Conference Track
EconGym: A Scalable AI Testbed with Diverse Economic Tasks Qirui Mi, Qipeng Yang, Zijun Fan, Wentian Fan, Heyang Ma, Chengdong Ma, Siyu Xia, Bo An, Jun Wang, Haifeng Zhang
Datasets and Benchmarks Track
SegMASt3R: Geometry Grounded Segment Matching Rohit Jayanti, Swayam Agrawal, Vansh Garg, Siddharth Tourani, Muhammad Haris Khan, Sourav Garg, Madhava Krishna
Main Conference Track
Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM Yongqiang Yao, Jingru Tan, Kaihuan Liang, Feizhao Zhang, Jiahao Hu, Shuo Wu, Yazhe Niu, Ruihao Gong, Dahua Lin, Ningyi Xu
Main Conference Track
ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning Zhongyi Zhou, Yichen Zhu, Xiaoyu Liu, Zhibin Tang, Junjie Wen, Yaxin Peng, Chaomin Shen, Yi Xu
Main Conference Track
DGH: Dynamic Gaussian Hair Junying Wang, Yuanlu Xu, Edith Tretschk, Ziyan Wang, Anastasia Ianina, Aljaz Bozic, Ulrich Neumann, Tony Tung
Main Conference Track
Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization Fuyuan CAO, Shichang Qiao, Kui Yu, Jiye Liang
Main Conference Track
LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting Yi Xiao, Hang Fan, Kun Chen, Ye Cao, Ben Fei, Wei Xue, LEI BAI
Main Conference Track
ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search Zeyu Shen, Basileal Imana, Tong Wu, Chong Xiang, Prateek Mittal, Aleksandra Korolova
Main Conference Track
Prior Forgetting and In-Context Overfitting Sungyoon Lee
Main Conference Track
QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks Qian Chen, Linxin Yang, Akang Wang, Xiaodong Luo, Yin Zhang
Main Conference Track
Entropy Rectifying Guidance for Diffusion and Flow Models Tariq Berrada, Adriana Romero-Soriano, Michal Drozdzal, Jakob J. Verbeek, Karteek Alahari
Main Conference Track
Learned Prefix Caching for Efficient LLM Inference Dongsheng Yang, Austin Li, Kai Li, Wyatt Lloyd
Main Conference Track
NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs without Human Poses Jing Wen, Alex Schwing, Shenlong Wang
Main Conference Track
High-Order Flow Matching: Unified Framework and Sharp Statistical Rates Maojiang Su, Jerry Yao-Chieh Hu, Yi-Chen Lee, Ning Zhu, Jui-Hui Chung, Shang Wu, Zhao Song, Minshuo Chen, Han Liu
Main Conference Track
TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation Zhekai Chen, Ruihang Chu, Yukang Chen, Shiwei Zhang, Yujie Wei, Yingya Zhang, Xihui Liu
Main Conference Track
Harnessing the Universal Geometry of Embeddings Rishi Jha, Collin Zhang, Vitaly Shmatikov, John Morris
Main Conference Track
Tight Generalization Bounds for Large-Margin Halfspaces Kasper Green Larsen, Natascha Schalburg
Main Conference Track
End-to-End Low-Light Enhancement for Object Detection with Learned Metadata from RAWs Xuelin Shen, Haifeng Jiao, Yitong Wang, Yulin HE, Wenhan Yang
Main Conference Track
Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series Ching Chang, Jeehyun Hwang, Yidan Shi, Haixin Wang, Wei Wang, Wen-Chih Peng, Tien-Fu Chen
Datasets and Benchmarks Track
Convergent Functions, Divergent Forms Hyeonseong Jeon, Ainaz Eftekhar, Aaron Walsman, Kuo-Hao Zeng, Ali Farhadi, Ranjay Krishna
Main Conference Track
DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion Jin Li, Zezhong Ding, Xike Xie
Main Conference Track
Scaling Unlocks Broader Generation and Deeper Functional Understanding of Proteins Aadyot Bhatnagar, Sarthak Jain, Joel Beazer, Samuel Curran, Alexander Hoffnagle, Kyle Ching, Michael Martyn, Stephen Nayfach, Jeffrey Ruffolo, Ali Madani
Main Conference Track
Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback Jiaming Ji, Xinyu Chen, Rui Pan, Han Zhu, Jiahao Li, Donghai Hong, Boyuan Chen, Jiayi Zhou, Kaile Wang, Juntao Dai, Chi-Min Chan, Sirui Han, Yike Guo, Yaodong Yang
Main Conference Track
Tight Bounds for Maximum Weight Matroid Independent Set and Matching in the Zero Communication Model Ilan Doron-Arad
Main Conference Track
Parameter Efficient Fine-tuning via Explained Variance Adaptation Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Deisenroth, Sepp Hochreiter
Main Conference Track
WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Zhiheng Liu, Xueqing Deng, Shoufa Chen, Angtian Wang, Qiushan Guo, Mingfei Han, Zeyue Xue, Mengzhao Chen, Ping Luo, Linjie Yang
Main Conference Track
Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies Yibo Wen, Chenwei Xu, Jerry Yao-Chieh Hu, Kaize Ding, Han Liu
Main Conference Track
GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo
Main Conference Track
RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Data Wenchao Ma, Dario Kneubuehler, Maurice Chu, Ian Sachs, Haomiao Jiang, Sharon Huang
Main Conference Track
Group-in-Group Policy Optimization for LLM Agent Training Lang Feng, Zhenghai Xue, Tingcong Liu, Bo An
Main Conference Track
NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs Haeun Lee, Omin Kwon, Yeonhong Park, Jae W. Lee
Main Conference Track
Exploring the Noise Robustness of Online Conformal Prediction HuaJun Xi, Kangdao Liu, Hao Zeng, Wenguang Sun, Hongxin Wei
Main Conference Track
RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo Jueun Ko, Hyewon Park, Hyesong Choi, Dongbo Min
Main Conference Track
Multi-Agent Debate for LLM Judges with Adaptive Stability Detection Tianyu Hu, Zhen Tan, Song Wang, Huaizhi Qu, Tianlong Chen
Main Conference Track
Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion Yan Xu, Yixing Wang, Stella X. Yu
Main Conference Track
Embeddings as Probabilistic Equivalence in Logic Programs Jaron Maene, Efthymia Tsamoura
Main Conference Track
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention Gleb Rodionov, Roman Garipov, Alina Shutova, George Yakushev, Erik Schultheis, Vage Egiazarian, Anton Sinitsin, Denis Kuznedelev, Dan Alistarh
Main Conference Track
Learning Shared Representations from Unpaired Data Amitai Yacobi, Nir Ben-Ari, Ronen Talmon, Uri Shaham
Main Conference Track
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization Kuan Zhang, Chengliang Chai, Jingzhe Xu, Chi Zhang, Han Han, Ye Yuan, Guoren Wang, Lei Cao
Main Conference Track
Memory Injection Attacks on LLM Agents via Query-Only Interaction Shen Dong, Shaochen Xu, Pengfei He, Yige Li, Jiliang Tang, Tianming Liu, Hui Liu, Zhen J. Xiang
Main Conference Track
Fast Training of Large Kernel Models with Delayed Projections Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit, Misha Belkin
Main Conference Track
PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors Error
Datasets and Benchmarks Track
Sampled Estimators For Softmax Must Be Biased Li-Chung Lin, Yaxu Liu, Chih-Jen Lin
Main Conference Track
ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Qiying Yu, Zheng Zhang, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma
Main Conference Track
SensorLM: Learning the Language of Wearable Sensors Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Max Xu, Ahmed Metwally, Jinhua Xu, Jake Garrison, Xuhai "Orson" Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang
Main Conference Track
Deep Tree Tensor Networks Chang Nie
Main Conference Track
Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality Junyan Liu, Ziyun Chen, Kun Wang, Haipeng Luo, Lillian J. Ratliff
Main Conference Track
DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos Chieh Lin, Zhaoyang Lv, Songyin Wu, Zhen Xu, Thu H Nguyen-Phuoc, Hung-Yu Tseng, Julian Straub, Numair Khan, Lei Xiao, Ming-Hsuan Yang, Yuheng Ren, Richard Newcombe, Zhao Dong, Zhengqin Li
Main Conference Track
From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
Main Conference Track
Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity Yuhan Zhang, Long Zhuo, Ziyang Chu, Tong Wu, Zhibing Li, Liang Pan, Dahua Lin, Ziwei Liu
Datasets and Benchmarks Track
Nested Learning: The Illusion of Deep Learning Architectures Ali Behrouz, Meisam Razaviyayn, Peilin Zhong, Vahab Mirrokni
Main Conference Track
Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization Antonio Ribeiro, David Vävinggren, Dave Zachariah, Thomas B Schön, Francis Bach
Main Conference Track
Long-Tailed Recognition via Information-Preservable Two-Stage Learning Fudong Lin, Xu Yuan
Main Conference Track
SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models Ye Sun, Hao Helen Zhang, Henghui Ding, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang
Main Conference Track
EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa, Pranav Kuppili, Lawrence Zhu, Simar Kareer, Judy Hoffman, Danfei Xu
Main Conference Track
Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality Mincheol Park, Heeji Won, Won Woo Ro, Suhyun Kim
Main Conference Track
Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno, Wataru Kumagai, Kazumi Kasaura, Kenta Hoshino, Yohei Hosoe, Yutaka Matsuo
Main Conference Track
Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search Yuxian Gu, Qinghao Hu, Haocheng Xi, Junyu Chen, Shang Yang, Song Han, Han Cai
Main Conference Track
Covariate-moderated Empirical Bayes Matrix Factorization William Denault, Karl Tayeb, Peter Carbonetto, Jason Willwerscheid, Matthew Stephens
Main Conference Track
PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions Error
Datasets and Benchmarks Track
Analyzing the Power of Chain of Thought through Memorization Capabilities Lijia Yu, Xiao-Shan Gao, Lijun Zhang
Main Conference Track
TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE Yifeng Peng, Xinyi Li, Samuel Yen-Chi Chen, Kaining Zhang, Zhiding Liang, Ying Wang, Yuxuan Du
Main Conference Track
Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields Gang Wan, Qinlong Lan, Zihan Li, Huimin Wang, Wu Yitian, wang zhen, Wanhua Li, Yufei Guo
Main Conference Track
RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks Mingxuan Yan, Yuping Wang, Zechun Liu, Jiachen Li
Main Conference Track
Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Pengxiang Li, Shilin Yan, Jiayin Cai, Renrui Zhang, Ruichuan An, Ziyu Guo, Xiaowei Gao
Main Conference Track
Learning to Instruct for Visual Instruction Tuning Zhihan Zhou, Feng Hong, JIAAN LUO, Yushi Ye, Jiangchao Yao, Dongsheng Li, Bo Han, Ya Zhang, Yanfeng Wang
Main Conference Track
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery Hainuo Wang, Qiming Hu, Xiaojie Guo
Main Conference Track
On-Policy Optimization with Group Equivalent Preference for Multi-Programming Language Understanding Haoyuan Wu, Rui Ming, Jilong Gao, Hangyu Zhao, Xueyi Chen, Yikai Yang, Haisheng Zheng, Zhuolun He, Bei Yu
Main Conference Track
VaporTok: RL-Driven Adaptive Video Tokenizer with Prior & Task Awareness Minghao Yang, Zechen Bai, Jing Lin, Haoqian Wang, Alex Jinpeng Wang
Main Conference Track
Show-o2: Improved Native Unified Multimodal Models Jinheng Xie, Zhenheng Yang, Mike Zheng Shou
Main Conference Track
Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence Yining Hong, Rui Sun, Bingxuan Li, Xingcheng Yao, Maxine Wu, Alexander Chien, Da Yin, Ying Nian Wu, Zhecan Wang, Kai-Wei Chang
Datasets and Benchmarks Track
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion Vinh Tong, Trung-Dung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert
Main Conference Track
HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference Inho Jeong, Sunghyeon Woo, Sol Namkung, Dongsuk Jeon
Main Conference Track
Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text Yize Cheng, Vinu Sankar Sadasivan, Mehrdad Saberi, Shoumik Saha, Soheil Feizi
Main Conference Track
End-to-End Vision Tokenizer Tuning Wenxuan Wang, Fan Zhang, Yufeng Cui, Haiwen Diao, Zhuoyan Luo, Huchuan Lu, Jing Liu, Xinlong Wang
Main Conference Track
Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning Yichen Li, Chicheng Zhang
Main Conference Track
Near-Optimal Sample Complexity for Online Constrained MDPs Chang Liu, Yunfan Li, Lin F. Yang
Main Conference Track
Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos Kaihua Chen, Tarasha Khurana, Deva Ramanan
Main Conference Track
AmorLIP: Efficient Language-Image Pretraining via Amortization Haotian Sun, Yitong Li, Yuchen Zhuang, Niao He, Hanjun Dai, Bo Dai
Main Conference Track
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Sicheng Zuo, Wenzhao Zheng, Xiaoyong Han, Longchao Yang, yong pan, Jiwen Lu
Main Conference Track
Scalable Signature Kernel Computations via Local Neumann Series Expansions Matthew Tamayo-Rios, Alexander Schell, Rima Alaifari
Main Conference Track
Computation and Memory-Efficient Model Compression with Gradient Reweighting Zhiwei Li, Yuesen Liao, Binrui Wu, Yuquan Zhou, Xupeng Shi, Dongsheng Jiang, Yin Li, Weizhong Zhang
Main Conference Track
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Qingming LIU, Zhen Liu, Dinghuai Zhang, Kui Jia
Main Conference Track
Matchings Under Biased and Correlated Evaluations Amit Kumar, Nisheeth K. Vishnoi
Main Conference Track
Neural Green’s Functions Seungwoo Yoo, Kyeongmin Yeo, Jisung Hwang, Minhyuk Sung
Main Conference Track
PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation Kunyu Wang, Xueyang Fu, Yuanfei Bao, Chengjie Ge, Chengzhi Cao, Wei Zhai, Zheng-Jun Zha
Main Conference Track
Meta CLIP 2: A Worldwide Scaling Recipe Yung-Sung Chuang, Yang Li, Dong Wang, Ching-Feng Yeh, Kehan Lyu, Ramya Raghavendra, Jim Glass, Lifei Huang, Jason E Weston, Luke Zettlemoyer, Xinlei Chen, Zhuang Liu, Saining Xie, Scott Yih, Shang-Wen Li, Hu Xu
Main Conference Track
Fine-grained List-wise Alignment for Generative Medication Recommendation Chenxiao Fan, Chongming Gao, Wentao Shi, Yaxin Gong, Zhao Zihao, Fuli Feng
Main Conference Track
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving Shuai Liu, Quanmin Liang, Zefeng Li, Boyang Li, Kai Huang
Main Conference Track
OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects Mark H. Huang, Lin Geng Foo, Christian Theobalt, Ying Sun, De Wen Soh
Main Conference Track
Exploring the Design Space of Diffusion Bridge Models Shaorong Zhang, Yuanbin Cheng, Greg Ver Steeg
Main Conference Track
Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment WEIMING ZHANG, Dingwen Xiao, Aobotao DAI, Yexin Liu, Tianbo Pan, Shiqi Wen, Lei Chen, Lin Wang
Datasets and Benchmarks Track
SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding Malyaban Bal, Brian Matejek, Susmit Jha, Adam Cobb
Main Conference Track
S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models Muzhi Dai, Chenxu Yang, Qingyi Si
Main Conference Track
Fast constrained sampling in pre-trained diffusion models Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras
Main Conference Track
Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected Yingtao Zhang, Diego Cerretti, Jialin Zhao, Wenjing Wu, Ziheng Liao, Umberto Michieli, Carlo Vittorio Cannistraci
Main Conference Track
Seeing the Wind from a Falling Leaf Zhiyuan Gao, Jiageng Mao, Hong-Xing "Koven" Yu, HAOZHE LOU, Emily Jia, Jernej Barbic, Jiajun Wu, Yue Wang
Main Conference Track
NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective Xiaohan Qin, Xiaoxing Wang, Ning Liao, Junchi Yan
Main Conference Track
Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval Constantin Venhoff, Ashkan Khakzar, Sonia Joseph, Philip H.S. Torr, Neel Nanda
Main Conference Track
Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning Reuben Dorent, Polina Golland, William (Sandy) Wells
Main Conference Track
Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors Guangyi Zhang, Qiyu Liu, Aristides Gionis
Main Conference Track
Continual Multimodal Contrastive Learning Xiaohao Liu, Xiaobo Xia, See-Kiong Ng, Tat-Seng Chua
Main Conference Track
Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Junyu Luo, Yusheng Zhao, Xiao Luo, Jiancheng Lv
Main Conference Track
Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming Error
Position Paper Track
REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing Weihan Xu, Yimeng Ma, Jingyue Huang, Yang Li, Wenye Ma, Taylor Berg-Kirkpatrick, Julian McAuley, Paul Liang, Hao-Wen Dong
Main Conference Track
Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang
Main Conference Track
Transferring Linear Features Across Language Models With Model Stitching Alan Chen, Jack Merullo, Alessandro Stolfo, Ellie Pavlick
Main Conference Track
Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning Arian Raje, Baris Askin, Divyansh Jhunjhunwala, Gauri Joshi
Main Conference Track
Audio Super-Resolution with Latent Bridge Models Chang Li, Zehua Chen, Liyuan Wang, Jun Zhu
Main Conference Track
SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference Yi Zhao, Yajuan Peng, Nguyen Cam-Tu, Zuchao Li, Xiaoliang Wang, Hai Zhao, Xiaoming Fu
Main Conference Track
A Generalized Bisimulation Metric of State Similarity between Markov Decision Processes: From Theoretical Propositions to Applications Zhenyu Tao, Wei Xu, Xiaohu You
Main Conference Track
Masked Diffusion Models as Energy Minimization Sitong Chen, Shen Nie, Jiacheng Sun, Zijin Feng, Zhenguo Li, Ji-Rong Wen, Chongxuan LI
Main Conference Track
How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation Yang Zhao, Pu (Perry) Wang, Hao Frank Yang
Main Conference Track
BEDLAM2.0: Synthetic humans and cameras in motion Error
Datasets and Benchmarks Track
Advancing Expert Specialization for Better MoE Hongcan Guo, Haolang Lu, Guoshun Nan, Bolun Chu, Jialin Zhuang, Yuan Yang, Wenhao Che, Xinye Cao, Sicong Leng, Qimei Cui, Xudong Jiang
Main Conference Track
Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games Runyu Lu, Peng Zhang, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao, Yang Liu, Dong Wang, Cesare Alippi
Main Conference Track
Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining Ping Guo, Yubing Ren, binbin liu, Fengze Liu, Haobin Lin, Yifan Zhang, Bingni Zhang, Taifeng Wang, Yin Zheng
Main Conference Track
How Well Can Differential Privacy Be Audited in One Run? Amit Keinan, Moshe Shenfeld, Katrina Ligett
Main Conference Track
ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation Zidong Cao, Jinjing Zhu, Hao Ai, Lutao Jiang, Yuanhuiyi Lyu, Hui Xiong
Main Conference Track
LILO: Learning to Reason at the Frontier of Learnability Thomas Foster, Anya Sims, Johannes Forkel, Jakob Foerster
Main Conference Track
OpenGU: A Comprehensive Benchmark for Graph Unlearning Error
Datasets and Benchmarks Track
SAP: Exact Sorting in Splatting via Screen-Aligned Primitives Zhanke Wang, Zhiyan Wang, Kaiqiang Xiong, Wu Jiahao, Yang Deng, Ronggang Wang
Main Conference Track
CLIMB: Class-imbalanced Learning Benchmark on Tabular Data Error
Datasets and Benchmarks Track
Can Agent Fix Agent Issues? Alfin Wijaya Rahardja, Junwei Liu, Weitong Chen, Zhenpeng Chen, Yiling Lou
Main Conference Track
Structure-Aware Spectral Sparsification via Uniform Edge Sampling Kaiwen He, Petros Drineas, Rajiv Khanna
Main Conference Track
Robust Cross-modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding Yanglin Feng, Hongyuan Zhu, Dezhong Peng, Xi Peng, Xiaomin Song, Peng Hu
Main Conference Track
Online Segment Any 3D Thing as Instance Tracking Hanshi Wang, Cai Zijian, Jin Gao, Yiwei Zhang, Weiming Hu, Ke Wang, Zhipeng Zhang
Main Conference Track
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving Huitong Yang, Zhuoxiao Chen, Fengyi Zhang, Zi Huang, Yadan Luo
Main Conference Track
NopeRoomGS: Indoor 3D Gaussian Splatting Optimization without Camera Pose Input Wenbo Li, Yan Xu, Mingde Yao, Fengjie Liang, Jiankai Sun, Menglu Wang, Guofeng Zhang, Linjiang Huang, Hongsheng Li
Main Conference Track
Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification Xinpeng Lv, Yunxin Mao, Haoxuan Li, KE LIANG, Jinxuan Yang, Wanrong Huang, Haoang Chi, Huan Chen, Long Lan, Cyuanlong, Wenjing Yang, Haotian Wang
Main Conference Track
Generalizing Verifiable Instruction Following Error
Datasets and Benchmarks Track
MIX: A Multi-view Time-Frequency Interactive Explanation Framework for Time Series Classification Viet-Hung Tran, Ngoc Phu Doan, Zichi Zhang, Tuan Pham, Phi Hung Nguyen, Xuan Nguyen, Hans Vandierendonck, Ira Assent, Thai Son Mai
Main Conference Track
GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations Fabian Paischer, Gianluca Galletti, William Hornsby, Paul Setinek, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter
Main Conference Track
MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks Sanjoy Chowdhury, Mohamed Elmoghany, Yohan Abeysinghe, Junjie Fei, Sayan Nag, Salman H Khan, Mohamed Elhoseiny, Dinesh Manocha
Main Conference Track
Mellow: a small audio language model for reasoning Soham Deshmukh, Satvik Dixit, Rita Singh, Bhiksha Raj
Main Conference Track
Practical Kernel Selection for Kernel-based Conditional Independence Test Wenjie Wang, Mingming Gong, Biwei Huang, James Bailey, Bo Han, Kun Zhang, Feng Liu
Main Conference Track
Video World Models with Long-term Spatial Memory Tong Wu, Shuai Yang, Ryan Po, Yinghao Xu, Ziwei Liu, Dahua Lin, Gordon Wetzstein
Main Conference Track
PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement Teng Hu, Zhentao Yu, Zhengguang Zhou, Jiangning Zhang, Yuan Zhou, Qinglin Lu, Ran Yi
Main Conference Track
Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage Ziqi Yuan, Haoyang Zhang, Yirui Zhou, Apoorve Mohan, I-Hsin Chung, Seetharami Seelam, Jian Huang
Main Conference Track
CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring Benjamin Arnav, Pablo Bernabeu-Perez, Nathan Helm-Burger, Timothy H. Kostolansky, Hannes Whittingham, Mary Phuong
Main Conference Track
MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation Bohan Zhou, Yi Zhan, Zhongbin Zhang, Zongqing Lu
Main Conference Track
Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs Qi Kuang, Jiayi Wang, Fan Zhou, Zhengling Qi
Main Conference Track
Generating Creative Chess Puzzles Xidong Feng, Vivek Veeriah, Marcus Chiam, Michael Dennis, Federico Barbero, Johan Obando Ceron, Jiaxin Shi, Satinder P. Singh, Shaobo Hou, Nenad Tomasev, Tom Zahavy
Main Conference Track
Towards Predicting Any Human Trajectory In Context Ryo Fujii, Hideo Saito, Ryo Hachiuma
Main Conference Track
WorldMem: Long-term Consistent World Simulation with Memory Zeqi Xiao, Yushi LAN, Yifan Zhou, Wenqi Ouyang, Shuai Yang, Yanhong Zeng, Xingang Pan
Main Conference Track
Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables Futoshi Futami, Masahiro Fujisawa
Main Conference Track
A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks Georgios Mentzelopoulos, Ioannis Asmanis, Konrad Kording, Eva L Dyer, Kostas Daniilidis, Flavia Vitale
Main Conference Track
OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning Alexandre Oliveira, Katarina Dyreby, Francisco Caldas, Claudia Soares
Main Conference Track
RAST: Reasoning Activation in LLMs via Small-model Transfer Siru Ouyang, Xinyu Zhu, Zilin Xiao, Minhao Jiang, Yu Meng, Jiawei Han
Main Conference Track
Unlocking Multimodal Mathematical Reasoning via Process Reward Model Ruilin Luo, Zhuofan Zheng, Lei Wang, Yifan Wang, Xinzhe Ni, Zicheng Lin, Songtao Jiang, Yiyao Yu, Chufan Shi, Ruihang Chu, Jin zeng, Yujiu Yang
Main Conference Track
Non-Convex Tensor Recovery from Tube-Wise Sensing Tongle Wu, Ying Sun
Main Conference Track
Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving Yi Huang, Zhan Qu, Lihui Jiang, Bingbing Liu, Hongbo Zhang
Main Conference Track
Kernel conditional tests from learning-theoretic bounds Pierre-François Massiani, Christian Fiedler, Lukas Haverbeck, Friedrich Solowjow, Sebastian Trimpe
Main Conference Track
Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings Xingguang Wei, Haomin Wang, Shenglong Ye, Ruifeng Luo, Zhang, Lixin Gu, Jifeng Dai, Yu Qiao, Wenhai Wang, Hongjie Zhang
Main Conference Track
INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning Wujian Peng, Lingchen Meng, Yitong Chen, Yiweng Xie, Yang Liu, Tao Gui, Hang Xu, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang
Main Conference Track
SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning Yiting Wang, Wanghao Ye, Ping Guo, Yexiao He, Ziyao Wang, Bowei Tian, Shwai He, Guoheng Sun, Zheyu Shen, Sihan Chen, Ankur Srivastava, Qingfu Zhang, Gang Qu, Ang Li
Main Conference Track
STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds Yinfang Chen, Jiaqi Pan, Jackson Clark, Yiming Su, Noah Zheutlin, Bhavya Bhavya, Rohan R. Arora, Yu Deng, Saurabh Jha, Tianyin Xu
Main Conference Track
Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting CHENGQI LI, Zhihao Shi, Yangdi Lu, Wenbo He, Xiangyu Xu
Main Conference Track
Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering Liang Zhang, Justin Lieffers, Adarsh Pyarelal
Main Conference Track
Controllable Human-centric Keyframe Interpolation with Generative Prior Zujin Guo, Size Wu, Zhongang Cai, Wei Li, Chen Change Loy
Main Conference Track
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models Tomáš Souček, Sylvestre-Alvise Rebuffi, Pierre Fernandez, Nikola Jovanović, Hady Elsahar, Valeriu Lacatusu, Tuan Tran, Alexandre Mourachko
Main Conference Track
Residual Stream Analysis of Overfitting And Structural Disruptions Quan Liu, Han Zhou, Wenquan Wu, Hua Wu, Sen Su
Main Conference Track
Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training Xiaoyang Xiao, Runzhao Yao, Zhiqiang Tian, Shaoyi Du
Main Conference Track
Gains: Fine-grained Federated Domain Adaptation in Open Set Zhengyi Zhong, Wenzheng Jiang, Weidong Bao, Ji Wang, Qi (Cheems) Wang, Guanbo Wang, Yongheng Deng, Ju Ren
Main Conference Track
TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming Zeyuan Yin, Xiaoming Liu
Main Conference Track
Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks Artun Saday, Yaşar Cahit Yıldırım, Cem Tekin
Main Conference Track
Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment Woojun Kim, Katia Sycara
Main Conference Track
High-Dimensional Calibration from Swap Regret Maxwell Fishelson, Noah Golowich, Mehryar Mohri, Jon Schneider
Main Conference Track
SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset Peng Xie, Xingyuan Liu, Yequan Bie, Tsz Wai Chan, Yangqiu Song, Yang Wang, Hao CHEN, Kani Chen
Datasets and Benchmarks Track
Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond Feng Zhu, David Simchi-Levi
Main Conference Track
Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi
Main Conference Track
Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies Junyu Huang, Zhen Zhang, Beirong Cui, Jianxin Wang, Qilong Feng
Main Conference Track
World-aware Planning Narratives Enhance Large Vision-Language Model Planner Junhao Shi, Zhaoye Fei, Siyin Wang, Qipeng Guo, Jingjing Gong, Xipeng Qiu
Main Conference Track
PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration Songhao Wu, Ang Lv, xiao feng, Yufei zhang, Xun Zhang, Guojun Yin, Wei Lin, Rui Yan
Main Conference Track
Large Language Diffusion Models Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan LI
Main Conference Track
The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches Omri Lev, Vishwak Srinivasan, Moshe Shenfeld, Katrina Ligett, Ayush Sekhari, Ashia C Wilson
Main Conference Track
ARM: Adaptive Reasoning Model Siye Wu, Jian Xie, yikai zhang, Aili Chen, Kai Zhang, Yu Su, Yanghua Xiao
Main Conference Track
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows Adriel Sosa Marco, John D. Kirwan, Alexia Toumpa, Simos Gerasimou
Main Conference Track
Stable Port-Hamiltonian Neural Networks Fabian J. Roth, Dominik K. Klein, Maximilian Kannapinn, Jan Peters, Oliver Weeger
Main Conference Track
EditInfinity: Image Editing with Binary-Quantized Generative Models Jiahuan Wang, Yuxin Chen, Jun Yu, Guangming Lu, Wenjie Pei
Main Conference Track
STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem Hong Wang, Yixuan Jiang, Jie Wang, Xinyi Li, Jian Luo, huanshuo dong
Main Conference Track
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Michal Nauman, Marek Cygan, Carmelo Sferrazza, Aviral Kumar, Pieter Abbeel
Main Conference Track
OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation Mengkang Hu, Yuhang Zhou, Wendong Fan, Yuzhou Nie, Ziyu Ye, Bowei Xia, Tao Sun, Zhaoxuan Jin, Yingru Li, Zeyu Zhang, Yifeng Wang, Qianshuo Ye, Bernard Ghanem, Ping Luo, Guohao Li
Main Conference Track
This Time is Different: An Observability Perspective on Time Series Foundation Models Ben Cohen, Emaad Khwaja, Youssef Doubli, Salahidine Lemaachi, Chris Lettieri, Charles Masson, Hugo Miccinilli, Elise Ramé, Qiqi Ren, Afshin Rostamizadeh, Jean du Terrail, Anna-Monica Toon, Kan Wang, Stephan Xie, Zongzhe Xu, Viktoriya Zhukova, David Asker, Ameet S Talwalkar, Othmane Abou-Amal
Main Conference Track
A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging Sajad Khodadadian, Martin Zubeldia
Main Conference Track
Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks Navid Hashemi, Samuel Sasaki, Ipek Oguz, Meiyi Ma, Taylor Johnson
Main Conference Track
Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness–Generalization Perspective Ming Gu, Zhuonan Zheng, Sheng Zhou, Meihan Liu, Jiawei Chen, Qiaoyu Tan, Liangcheng Li, Jiajun Bu
Main Conference Track
Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers Thomas Klein, Sascha Meyen, Wieland Brendel, Felix A. Wichmann, Kristof Meding
Main Conference Track
OligoGym: Curated Datasets and Benchmarks for Oligonucleotide Drug Discovery Error
Datasets and Benchmarks Track
From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models Weitong Zhang, Chengqi Zang, Bernhard Kainz
Main Conference Track
Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement Yunan Lu, Xixi Zhang, Yaojin Lin, Weiwei Li, Lei Yang, Xiuyi Jia
Main Conference Track
CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention Xiaomeng Hu, Fei Huang, Chenhan Yuan, Junyang Lin, Tsung-Yi Ho
Main Conference Track
Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation Chen YAN, Weina Wang, Lei Ying
Main Conference Track
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification Mélodie Monod, Alessandro Micheli, Samir Bhatt
Main Conference Track
Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings Houssam Zenati, Bariscan Bozkurt, Arthur Gretton
Main Conference Track
Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation Zhangqi Jiang, Tingjin Luo, Xu Yang, Xinyan Liang
Main Conference Track
Characterizing control between interacting subsystems with deep Jacobian estimation Adam J. Eisen, Mitchell Ostrow, Sarthak Chandra, Leo Kozachkov, Earl Miller, Ila Fiete
Main Conference Track
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights Error
Datasets and Benchmarks Track
PointTruss: K-Truss for Point Cloud Registration Yue Wu, Jun Jiang, Yongzhe Yuan, Maoguo Gong, Qiguang Miao, Hao Li, Mingyang Zhang, wenping ma
Main Conference Track
Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy Inkook Chun, Seungjae Lee, Michael Albergo, Saining Xie, Eric Vanden-Eijnden
Main Conference Track
TC-Light: Temporally Coherent Generative Rendering for Realistic World Transfer Yang Liu, Chuanchen Luo, Zimo Tang, Yingyan Li, yuran Yang, Yuanyong Ning, Lue Fan, Junran Peng, ZHAO-XIANG ZHANG
Main Conference Track
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard, Olivier Wintenberger
Main Conference Track
Bézier Splatting for Fast and Differentiable Vector Graphics Rendering Xi Liu, Chaoyi Zhou, Nanxuan Zhao, Siyu Huang
Main Conference Track
Representation Consistency for Accurate and Coherent LLM Answer Aggregation Junqi Jiang, Tom Bewley, Salim I. Amoukou, Francesco Leofante, Antonio Rago, Saumitra Mishra, Francesca Toni
Main Conference Track
LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process Huiyang Shao, Xin Xia, Yuxi Ren, XING WANG, Xuefeng Xiao
Main Conference Track
Value Improved Actor Critic Algorithms Yaniv Oren, Moritz Zanger, Pascal van der Vaart, Mustafa Mert Çelikok, Wendelin Boehmer, Matthijs Spaan
Main Conference Track
Bidirectional Representations Augmented Autoregressive Biological Sequence Generation Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Zhi Jin, ZhiQiang Gao, Nanqing Dong, Siqi Sun
Main Conference Track
Learning from positive and unlabeled examples -Finite size sample bounds Farnam Mansouri, Shai Ben-David
Main Conference Track
Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems Nhan-Phu Chung, Jinhui Han, Bohan Li, Zehao Li
Main Conference Track
Balanced Active Inference Boyu Chen, Zhixiang Zhou, Liuhua Peng, Zhonglei Wang
Main Conference Track
Generalizable, real-time neural decoding with hybrid state-space models Avery Hee-Woon Ryoo, Nanda H Krishna, Ximeng Mao, Mehdi Azabou, Eva L Dyer, Matthew G Perich, Guillaume Lajoie
Main Conference Track
FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts Weihao Bo, Yanpeng Sun, Yu Wang, Xinyu Zhang, Zechao Li
Main Conference Track
MuSLR: Multimodal Symbolic Logical Reasoning Jundong Xu, Hao Fei, Yuhui Zhang, Liangming Pan, Qijun Huang, Qian Liu, Preslav Nakov, Min-Yen Kan, William Yang Wang, Mong-Li Lee, Wynne Hsu
Main Conference Track
ConnectomeBench: Can LLMs proofread the connectome? Error
Datasets and Benchmarks Track
SimWorld-Robotics: Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration Yan Zhuang, Jiawei Ren, Xiaokang Ye, Jianzhi Shen, ruixuan zhang, Tianai Yue, Muhammad Faayez, Xuhong He, Xiyan Zhang, Ziqiao Ma, Lianhui Qin, Zhiting Hu, Tianmin Shu
Main Conference Track
Accelerating Visual-Policy Learning through Parallel Differentiable Simulation Haoxiang You, Yilang Liu, Ian Abraham
Main Conference Track
Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals Namhoon Kim, Sara Fridovich-Keil
Main Conference Track
SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language Models HAOTIAN XU, Qingsong Peng, Jie Shi, Huadi Zheng, YU LI, Cheng Zhuo
Main Conference Track
Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions Liuyuan Jiang, Quan Xiao, Lisha Chen, Tianyi Chen
Main Conference Track
Integration Matters for Learning PDEs with Backward SDEs Sungje Park, Stephen Tu
Main Conference Track
PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination Error
Datasets and Benchmarks Track
JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent Yunlong Lin, Zixu Lin, Kunjie Lin, Jinbin Bai, Panwang Pan, Chenxin Li, Haoyu Chen, Zhongdao Wang, Xinghao Ding, Wenbo Li, Shuicheng Yan
Main Conference Track
WritingBench: A Comprehensive Benchmark for Generative Writing Yuning Wu, Jiahao Mei, Ming Yan, Chenliang Li, Shaopeng Lai, Yuran Ren, Zijia Wang, Ji Zhang, Mengyue Wu, Qin Jin, Fei Huang
Datasets and Benchmarks Track
Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Dacheng Tao
Main Conference Track
Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion Xiaojian Ding, Lin Zhao, Xian Li, Xiaoying Zhu
Main Conference Track
BlurDM: A Blur Diffusion Model for Image Deblurring Jin-Ting He, Fu-Jen Tsai, Yan-Tsung Peng, Min-Hung Chen, Chia-Wen Lin, Yen-Yu Lin
Main Conference Track
Detecting Data Deviations in Electronic Health Records Kaiping Zheng, Horng-Ruey Chua, Beng Chin Ooi
Main Conference Track
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection Tao Yin, Shaochen Fu, Zhibin Zhang, Li Huang, Xiaohong Zhang, Yiyuan Yang, Kaixiang Yang, Meng Yan
Main Conference Track
HypRL: Reinforcement Learning of Control Policies for Hyperproperties Tzu-Han Hsu, Arshia Rafieioskouei, Borzoo Bonakdarpour
Main Conference Track
Spectral Learning for Infinite-Horizon Average-Reward POMDPs Alessio Russo, Alberto Maria Metelli, Marcello Restelli
Main Conference Track
Rethinking PCA Through Duality Jan Quan, Johan Suykens, Panagiotis Patrinos
Main Conference Track
Attribution-Driven Adaptive Token Pruning for Transformers YAOYAO YAN, Hui Yu, Weizhi Xu
Main Conference Track
Incentivizing Truthful Language Models via Peer Elicitation Games Baiting Chen, Tong Zhu, Jiale Han, Lexin Li, Gang Li, Xiaowu Dai
Main Conference Track
Multilevel neural simulation-based inference Yuga Hikida, Ayush Bharti, Niall Jeffrey, Francois-Xavier Briol
Main Conference Track
Dynamic Risk Assessments for Offensive Cybersecurity Agents Error
Datasets and Benchmarks Track
Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining Nathan Stromberg, Christos Thrampoulidis, Lalitha Sankar
Main Conference Track
AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness Zhuoqun Huang, Neil Marchant, Olga Ohrimenko, Benjamin I.P. Rubinstein
Main Conference Track
SpecEM: Training-Free LLM Ensembling via Iterative Drafting, Verification, and Online Feedback Bo Lv, Nayu Liu, Chen Tang, Xin Liu, Yue Yu, Ping Luo
Main Conference Track
Fair Deepfake Detectors Can Generalize Harry Cheng, Ming-Hui Liu, Yangyang Guo, Tianyi Wang, Liqiang Nie, Mohan Kankanhalli
Main Conference Track
Orient Anything V2: Unifying Orientation and Rotation Understanding Zehan Wang, Ziang Zhang, Jiayang Xu, Jialei Wang, Tianyu Pang, Chao Du, Hengshuang Zhao, Zhou Zhao
Main Conference Track
Graph Alignment via Birkhoff Relaxation Sushil Varma, Irène Waldspurger, Laurent Massoulié
Main Conference Track
PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting Haobo Li, Eunseo Jung, Zixin CHEN, Zhaowei Wang, Yueya WANG, Huamin Qu, Alexis Lau
Main Conference Track
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery Ming Hu, Zhengdi Yu, feilong tang, Kaiwen Chen, Yulong Li, Imran Razzak, Junjun He, Tolga Birdal, Kai-Jing Zhou, Zongyuan Ge
Main Conference Track
Learning Expandable and Adaptable Representations for Continual Learning Ruilong Yu, Mingyan Liu, Fei Ye, Adrian G. Bors, Rongyao Hu, Jingling sun, shijie zhou
Main Conference Track
The Complexity of Finding Local Optima in Contrastive Learning Jingming Yan, Yiyuan Luo, Vaggos Chatziafratis, Ioannis Panageas, Parnian Shahkar, Stelios Stavroulakis
Main Conference Track
Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives Geng Zhang, Jiangrong Shen, Kaizhong Zheng, Liangjun Chen, Badong Chen
Main Conference Track
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models Siwei Zhang, Yun Xiong, Yateng Tang, Jiarong Xu, Xi Chen, Zehao Gu, Xuehao Zheng, Zi'an Jia, Jiawei Zhang
Main Conference Track
Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making Tianyuan Jia, Ziyu Li, Qing Li, Xiuxing Li, Xiang Li, Chen Wei, Li Yao, Xia Wu
Main Conference Track
Accelerating Diffusion LLMs via Adaptive Parallel Decoding Daniel Israel, Guy Van den Broeck, Aditya Grover
Main Conference Track
OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning Zeting Chen, Xinyu Cai, Molei Qin, Bo An
Main Conference Track
PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models Error
Datasets and Benchmarks Track
Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques
Main Conference Track
$\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning Xiaojun Guo, Ang Li, Yifei Wang, Stefanie Jegelka, Yisen Wang
Main Conference Track
HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance JUE GONG, Tingyu Yang, Jingkai Wang, Zheng Chen, Xing Liu, Hong Gu, Yulun Zhang, Xiaokang Yang
Main Conference Track
Activated LoRA: Fine-tuned LLMs for Intrinsics Kristjan Greenewald, Luis Lastras, Thomas Parnell, Vraj Shah, Lucian Popa, Giulio Zizzo, Chulaka Gunasekara, Ambrish Rawat, David Cox
Main Conference Track
OmniGen-AR: AutoRegressive Any-to-Image Generation Junke Wang, Xun Wang, Qiushan Guo, Peize Sun, Weilin Huang, Zuxuan Wu, Yu-Gang Jiang
Main Conference Track
Why Do Some Language Models Fake Alignment While Others Don't? Abhay Sheshadri, John Hughes, Julian Michael, Alex Mallen, Arun Jose, Fabien Roger
Main Conference Track
Understanding protein function with a multimodal retrieval-augmented foundation model Timothy Truong Jr, Tristan Bepler
Main Conference Track
A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models YuQing Xie, Tess Smidt
Main Conference Track
How to Train Your LLM Web Agent: A Statistical Diagnosis Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Thibault de Chezelles, Megh Thakkar, Nicolas Gontier, Miguel Muñoz-Mármol, Sahar Omidi Shayegan, Stefania Raimondo, Steve (Xue) Liu, Alexandre Drouin, Alexandre Piche, Alexandre Lacoste, Massimo Caccia
Main Conference Track
The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis Hoang Pham, The Anh Ta, Tom Jacobs, Rebekka Burkholz, Long Tran-Thanh
Main Conference Track
Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming Zhen Zhang, Bingsheng He
Main Conference Track
Wavelet Canonical Coherence for Nonstationary Signals Haibo Wu, Marina Knight, Keiland Cooper, Norbert Fortin, Hernando Ombao
Main Conference Track
Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers Xin Zhao, Xiaojun Chen, Bingshan Liu, Haoyu Gao, Zhendong Zhao, Yilong Chen
Main Conference Track
ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model Jialong Zuo, Yongtai Deng, Mengdan Tan, Rui Jin, Dongyue Wu, Nong Sang, Liang Pan, Changxin Gao
Main Conference Track
An Effective Levelling Paradigm for Unlabeled Scenarios Fangming Cui, Zhou Yu, Di Yang, Yuqiang Ren, Liang Xiao, Xinmei Tian
Main Conference Track
DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Junjie Xu, Jiahao Zhang, Mangal Prakash, Xiang Zhang, Suhang Wang
Main Conference Track
A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design Error
Datasets and Benchmarks Track
ConfTuner: Training Large Language Models to Express Their Confidence Verbally Yibo Li, Miao Xiong, Jiaying Wu, Bryan Hooi
Main Conference Track
Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks Florian Hölzl, Daniel Rueckert, Georgios Kaissis
Main Conference Track
Does Representation Guarantee Welfare? Jakob de Raaij, Ariel D Procaccia, Alexandros Psomas
Main Conference Track
DAVE: Diagnostic benchmark for Audio Visual Evaluation Error
Datasets and Benchmarks Track
Scaling and context steer LLMs along the same computational path as the human brain Joséphine Raugel, Jérémy Rapin, Stéphane d'Ascoli, Valentin Wyart, Jean-Remi King
Main Conference Track
SutureBot: A Precision Framework & Benchmark For Autonomous End-to-End Suturing Error
Datasets and Benchmarks Track
Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
Main Conference Track
Learning Human-Object Interaction as Groups Jiajun Hong, Jianan Wei, Wenguan Wang
Main Conference Track
A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone Jitai Hao, Qiang Huang, Hao Liu, Xinyan Xiao, Zhaochun Ren, Jun Yu
Main Conference Track
Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling Eray Erturk, Saba Hashemi, Maryam M. Shanechi
Main Conference Track
ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG Yikuan Hu, Jifeng Zhu, Lanrui Tang, Chen Huang
Main Conference Track
Learning to Control Free-Form Soft Swimmers Changyu Hu, Yanke Qu, Qiuan Yang, Xiaoyu Xiong, Kui Wu, Wei Li, Tao Du
Main Conference Track
MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation Shen Yuan, Yin Zheng, Taifeng Wang, binbin liu, Hongteng Xu
Main Conference Track
Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis Chengliang Liu, Que Yuanxi, Qihao Xu, Yabo Liu, Jie Wen, Jinghua Wang, Xiaoling Luo
Main Conference Track
ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning Shulin Huang, Linyi Yang, Yan Song, Shawn Chen, Leyang Cui, Ziyu Wan, Qingcheng Zeng, Ying Wen, Kun Shao, Weinan Zhang, Jun Wang, Yue Zhang
Datasets and Benchmarks Track
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training Yunqi Gao, Bing Hu, Boloursaz Mashhadi, A-Long Jin, Yanfeng Zhang, Pei Xiao, Rahim Tafazolli, Merouane DEBBAH
Main Conference Track
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training Jintao Zhang, Jia wei, Haoxu Wang, Pengle Zhang, Xiaoming Xu, Haofeng Huang, Kai Jiang, Jianfei Chen, Jun Zhu
Main Conference Track
MVU-Eval: Towards Multi-Video Understanding Evaluation for Multimodal LLMs Tianhao Peng, Haochen Wang, Yuanxing Zhang, Noah Wang, Zili Wang, Ge Zhang, Jian Yang, Shihao Li, Yanghai Wang, Xintao Wang, Houyi Li, Wei Ji, Pengfei Wan, Wenhao Huang, ZHAO-XIANG ZHANG, Jiaheng Liu
Datasets and Benchmarks Track
On Extending Direct Preference Optimization to Accommodate Ties Jinghong Chen, Guangyu Yang, Weizhe Lin, Jingbiao Mei, Chenxu Lyu, Bill Byrne
Main Conference Track
Fairness under Competition Ronen Gradwohl, Eilam Shapira, Moshe Tennenholtz
Main Conference Track
SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning Yuyang Ding, Xinyu Shi, Juntao Li, Xiaobo Liang, Zhaopeng Tu, Min zhang
Main Conference Track
MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees Herbert Woisetschläger, Ryan Zhang, Shiqiang Wang, Hans Arno Jacobsen
Main Conference Track
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition Daolang Huang, Xinyi Wen, Ayush Bharti, Samuel Kaski, Luigi Acerbi
Main Conference Track
Decomposing stimulus-specific sensory neural information via diffusion models Steeve Laquitaine, Simone Azeglio, Carlo Paris, Ulisse Ferrari, Matthew Chalk
Main Conference Track
TokMan:Tokenize Manhattan Mask Optimization for Inverse Lithography Yiwen Wu, Yuyang Chen, Ye Xia, Yao Zhao, Jingya Wang, Xuming He, Hao GENG, Jingyi Yu
Main Conference Track
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii, Theodoros Thirimachos Davarakis, Prudence Lam, Claudia Plant, Jennifer Dy, Stratis Ioannidis
Main Conference Track
Replicable Online pricing Kiarash Banihashem, Mohammadhossein Bateni, Hossein Esfandiari, Samira Goudarzi, MohammadTaghi Hajiaghayi
Main Conference Track
CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation Error
Datasets and Benchmarks Track
Fisher meets Feynman: score-based variational inference with a product of experts Diana Cai, Robert Gower, David Blei, Lawrence K. Saul
Main Conference Track
Generalized Contrastive Learning for Universal Multimodal Retrieval Jungsoo Lee, Janghoon Cho, Hyojin Park, Durga Malladi, Kyuwoong Hwang, Fatih Porikli, Sungha Choi
Main Conference Track
On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness Arnav Mehra, Alexandros Psomas
Main Conference Track
From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring Yang Li, Qiang Sheng, Yehan Yang, Xueyao Zhang, Juan Cao
Main Conference Track
Speculate Deep and Accurate: Lossless and Training-Free Acceleration for Offloaded LLMs via Substitute Speculative Decoding Pei-Shuo Wang, Jian-Jia Chen, Chun-Che Yang, Chi-Chih Chang, Ning-Chi Huang, Mohamed Abdelfattah, Kai-Chiang Wu
Main Conference Track
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Zhenhua Han, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
Main Conference Track
Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou, Sheng Zhou, Yao Ma, Ming Gu, HONGJIA XU, Jiawei Chen, Jiajun Bu
Main Conference Track
Neuro-Spectral Architectures for Causal Physics-Informed Networks Arthur Bizzi, Leonardo Moreira, Márcio Marques, Leonardo Mendonça, Christian de Oliveira, Vitor Balestro, Lucas dos Santos Fernandez, Daniel Yukimura, Pavel Petrov, João Pereira, Tiago Novello, Lucas Nissenbaum
Main Conference Track
FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design Asal Mehradfar, Xuzhe Zhao, Yilun Huang, Emir Ceyani, Yankai Yang, Shihao han, Hamidreza Aghasi, Salman Avestimehr
Main Conference Track
GenSpace: Benchmarking Spatially-Aware Image Generation Error
Datasets and Benchmarks Track
BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes Lishen Qu, Zhihao Liu, Shihao Zhou, LUO YAQI, Jie Liang, Hui Zeng, Lei Zhang, Jufeng Yang
Datasets and Benchmarks Track
Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism Junfei Zhou, Penglin Dai, Quanmin Wei, Bingyi Liu, Xiao Wu, Jianping Wang
Main Conference Track
Unified 2D-3D Discrete Priors for Noise-Robust and Calibration-Free Multiview 3D Human Pose Estimation Geng Chen, Pengfei Ren, Xufeng Jian, Haifeng Sun, Menghao Zhang, Qi Qi, Zirui Zhuang, Jing Wang, Jianxin Liao, Jingyu Wang
Main Conference Track
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Przemyslaw Biecek
Main Conference Track
Compositional Reasoning with Transformers, RNNs, and Chain of Thought Gilad Yehudai, Noah Amsel, Joan Bruna
Main Conference Track
Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization Zhibin Gu, weili wang
Main Conference Track
AC-LoRA: (Almost) Training-Free Access Control Aware Multi-Modal LLMs Lara Magdalena Lazier, Aritra Dhar, Vasilije Stambolic, Lukas Cavigelli
Main Conference Track
Attention (as Discrete-Time Markov) Chains Yotam Erel, Olaf Dünkel, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, Amit Bermano
Main Conference Track
Tracing the Representation Geometry of Language Models from Pretraining to Post-training Melody Li, Kumar Krishna Agrawal, Arna Ghosh, Komal Teru, Adam Santoro, Guillaume Lajoie, Blake A. Richards
Main Conference Track
OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation Raktim Goswami, Prashanth Krishnamurthy, Yann LeCun, Farshad Khorrami
Main Conference Track
FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback Dongwei Jiang, Bowei Zhang, Andrew Wang, Nicholas Andrews, Daniel Khashabi
Main Conference Track
Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time Max Moebus, Björn Braun, Christian Holz
Main Conference Track
EA3D: Online Open-World 3D Object Extraction from Streaming Videos Xiaoyu Zhou, Jingqi Wang, Yuang Jia, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang
Main Conference Track
WorldModelBench: Judging Video Generation Models As World Models Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E Gonzalez, Ion Stoica, Song Han, Yao Lu
Datasets and Benchmarks Track
EPA: Boosting Event-based Video Frame Interpolation with Perceptually Aligned Learning Yuhan Liu, LingHui Fu, Zhen Yang, Hao Chen, Youfu Li, Yongjian Deng
Main Conference Track
Learning Stochastic Multiscale Models Andrew F. Ilersich, Prasanth Nair
Main Conference Track
Exploring and Leveraging Class Vectors for Classifier Editing Jaeik Kim, Jaeyoung Do
Main Conference Track
What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers Pulkit Gopalani, Wei Hu
Main Conference Track
MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation Jiaxin Huang, Runnan Chen, Ziwen Li, Zhengqing Gao, Xiao He, Yandong Guo, Mingming Gong, Tongliang Liu
Main Conference Track
Error Forcing in Recurrent Neural Networks A Sağtekin, Colin Bredenberg, Cristina Savin
Main Conference Track
Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning Weikuo Wang, Yue Liao, Huan Luo
Main Conference Track
Controlling The Spread of Epidemics on Networks with Differential Privacy Dũng Nguyen, Aravind Srinivasan, Renata Valieva, Anil Vullikanti, Jiayi Wu
Main Conference Track
Scalable Exploration via Ensemble++ Yingru Li, Jiawei Xu, Baoxiang Wang, Zhiquan Luo
Main Conference Track
PurpCode: Reasoning for Safer Code Generation Jiawei Liu, Nirav Diwan, Zhe Wang, Haoyu Zhai, Xiaona Zhou, Kiet Nguyen, Tianjiao Yu, Muntasir Wahed, Yinlin Deng, Hadjer Benkraouda, Yuxiang Wei, LINGMING ZHANG, Ismini Lourentzou, Gang Wang
Main Conference Track
Predictive Preference Learning from Human Interventions Haoyuan Cai, Zhenghao (Mark) Peng, Bolei Zhou
Main Conference Track
RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis Robin Yadav, Qi Yan, Guy Wolf, Joey Bose, Renjie Liao
Main Conference Track
VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching Huiyang Shao, Xin Xia, Yuxi Ren, XING WANG, Xuefeng Xiao
Main Conference Track
A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding Alexander Goldberg, Giulia Fanti, Nihar Shah
Main Conference Track
Adv-BMT: Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation Yuxin Liu, Zhenghao (Mark) Peng, Xuanhao Cui, Bolei Zhou
Main Conference Track
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead Marlon Becker, Frederick Altrock, Benjamin Risse
Main Conference Track
Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs Wenjing Tang, Xinyu He, Yongxi Huang, Yunxiao Xiao, Cewu Lu, Panpan Cai
Main Conference Track
Revisiting Glorot Initialization for Long-Range Linear Recurrences Noga Bar, Mariia Seleznova, ‪Yotam Alexander‬‏, Gitta Kutyniok, Raja Giryes
Main Conference Track
AdaptGrad: Adaptive Sampling to Reduce Noise Linjiang Zhou, Chao Ma, Zepeng Wang, Libing Wu, XIAOCHUAN SHI
Main Conference Track
System Prompt Optimization with Meta-Learning Yumin Choi, Jinheon Baek, Sung Ju Hwang
Main Conference Track
CamSAM2: Segment Anything Accurately in Camouflaged Videos Yuli Zhou, Yawei Li, Yuqian Fu, Luca Benini, Ender Konukoglu, Guolei Sun
Main Conference Track
Reinforcement Learning with Action Chunking Qiyang Li, Zhiyuan (Paul) Zhou, Sergey Levine
Main Conference Track
Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling Shayan Mohajer Hamidi, Ben Liang, EN-HUI YANG
Main Conference Track
Scaling can lead to compositional generalization Florian Redhardt, Yassir Akram, Simon Schug
Main Conference Track
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring Error
Datasets and Benchmarks Track
DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning Runpeng Xie, Quanwei Wang, Hao Hu, Zherui Zhou, Ni Mu, Xiyun Li, Yiqin Yang, Shuang Xu, Qianchuan Zhao, Bo Xu
Main Conference Track
ChemPile: A 250 GB Diverse and Curated Dataset for Chemical Foundation Models Error
Datasets and Benchmarks Track
Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition Fan LIU, Jindong Han, Tengfei Lyu, Weijia Zhang, Zherui Yang, Lu Dai, Cancheng Liu, Hao Liu
Position Paper Track
CoralVQA: A Large-Scale Visual Question Answering Dataset for Coral Reef Image Understanding hongyong han, Wei Wang, Gaowei Zhang, Mingjie Li, Yi Wang
Datasets and Benchmarks Track
Ultra-high Resolution Watermarking Framework Resistant to Extreme Cropping and Scaling Nan Sun, LuYu Yuan, Han Fang, Yuxing Lu, Hefei Ling, Sijing Xie, Chengxin Zhao
Main Conference Track
Test Time Scaling for Neural Processes Hyungi Lee, Moonseok Choi, Hyunsu Kim, Kyunghyun Cho, Rajesh Ranganath, Juho Lee
Main Conference Track
Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation Jiahuan Zhou, Chao Zhu, Zhenyu Cui, Zichen Liu, Xu Zou, Gang Hua
Main Conference Track
Interpreting vision transformers via residual replacement model Jinyeong Kim, Junhyeok Kim, Yumin Shim, Joohyeok Kim, Sunyoung Jung, Seong Jae Hwang
Main Conference Track
Boosting Resilience of Large Language Models through Causality-Driven Robust Optimization Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, YUNCHENG HUA, chengli xing, Wei Ye, Flora D. Salim, Shikun Zhang
Main Conference Track
SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling Yizhao Gao, Zhichen Zeng, DaYou Du, Shijie Cao, Peiyuan Zhou, Jiaxing Qi, Junjie Lai, Hayden So, Ting Cao, Fan Yang, Mao Yang
Main Conference Track
MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding YUXIANG WEI, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince D. Calhoun
Main Conference Track
Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle Avoidance Xiaochen Shang, Pengwei Luo, Xinning Wang, Jiayue Zhao, Huilin Ge, Bo Dong, Xin Yang
Main Conference Track
Object-centric 3D Motion Field for Robot Learning from Human Videos Zhao-Heng Yin, Sherry Yang, Pieter Abbeel
Main Conference Track
Constrained Optimization From a Control Perspective via Feedback Linearization Runyu Zhang, Arvind Raghunathan, Jeff Shamma, Na Li
Main Conference Track
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking Heli Ben-Hamu, Itai Gat, Daniel Severo, Niklas S Nolte, Brian Karrer
Main Conference Track
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability Jonggwon Park, Byungmu Yoon, Soobum Kim, Kyoyun Choi
Main Conference Track
BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent Shaojie Zhang, Ruoceng Zhang, Pei Fu, Shaokang Wang, Jiahui Yang, Xin Du, ShiqiCui, Bin Qin, Ying Huang, Zhenbo Luo, Jian Luan
Main Conference Track
Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning Liu Ziyin, Yizhou Xu, Isaac Chuang
Main Conference Track
DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning Sikai Bai, Haoxi Li, Jie ZHANG, Zicong Hong, Song Guo
Main Conference Track
Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning Faeze Moradi Kalarde, Ali Bereyhi, Ben Liang, Min Dong
Main Conference Track
Distribution-Aligned Decoding for Efficient LLM Task Adaptation Senkang Hu, Xudong Han, Jinqi Jiang, Yihang Tao, Zihan Fang, Yong Dai, Sam Kwong, Yuguang Fang
Main Conference Track
Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning Dechen Zhang, Zhenmei Shi, Zhang, Yingyu Liang, Difan Zou
Main Conference Track
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm Clément Bénard
Main Conference Track
ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data Xiaoyang Liu, Kangjie Bao, Jiashuo Zhang, Yunqi Liu, Yu Chen, Yuntian Liu, Yang Jiao, Tao Luo
Main Conference Track
Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming Yinxu Tang, Stylianos Loukas Vasileiou, Vincent Derkinderen, William Yeoh
Main Conference Track
UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss Zhichao Wang, Xinhai Chen, Qinglin Wang, Xiang Gao, Qingyang Zhang, Menghan Jia, Xiang Zhang, Jie Liu
Main Conference Track
What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models Keyon Vafa, Sarah Bentley, Jon Kleinberg, Sendhil Mullainathan
Main Conference Track
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment Yuxing Lu, Wei Wu, Xukai Zhao, Rui Peng, Jinzhuo Wang
Main Conference Track
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts Ben Schiffer, Mark Sellke
Main Conference Track
FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens Yiming Zhong, Yumeng Liu, Chuyang Xiao, Zemin Yang, Youzhuo Wang, Yufei Zhu, Ye Shi, Yujing Sun, Xinge ZHU, Yuexin Ma
Main Conference Track
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation Zhenghao Zeng, David Arbour, Avi Feller, Ishita Dasgupta, Atanu Sinha, Edward H. Kennedy
Main Conference Track
Vision Transformers Don't Need Trained Registers Nicholas Jiang, Amil Dravid, Alexei A Efros, Yossi Gandelsman
Main Conference Track
AGENTIF: Benchmarking Large Language Models Instruction Following Ability in Agentic Scenarios Yunjia Qi, Hao Peng, Xiaozhi Wang, Amy Xin, Youfeng Liu, Bin Xu, Lei Hou, Juanzi Li
Datasets and Benchmarks Track
General-Reasoner: Advancing LLM Reasoning Across All Domains Xueguang Ma, Qian Liu, Dongfu Jiang, Ge Zhang, Zejun MA, Wenhu Chen
Main Conference Track
Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion Qijun Luo, Yifei Shen, Liangzu Peng, Dongsheng Li, Xiao Li
Main Conference Track
What Moves the Eyes: Doubling Mechanistic Model Performance Using Deep Networks to Discover and Test Cognitive Hypotheses Federico D'Agostino, Lisa Schwetlick, Matthias Bethge, Matthias Kümmerer
Main Conference Track
Towards Fully FP8 GEMM LLM Training at Scale Alejandro Hernández Cano, Dhia Garbaya, Imanol Schlag, Martin Jaggi
Main Conference Track
The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics Marco Sälzer, Przemyslaw Walega, Martin Lange
Main Conference Track
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Siyan Zhao, Devaansh Gupta, Qinqing Zheng, Aditya Grover
Main Conference Track
PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications Error
Datasets and Benchmarks Track
Fast attention mechanisms: a tale of parallelism Jingwen Liu, Hantao Yu, Clayton Sanford, Alexandr Andoni, Daniel Hsu
Main Conference Track
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning Xiao Liang, Zhong-Zhi Li, Yeyun Gong, Yang Wang, Hengyuan Zhang, yelong shen, Ying Nian Wu, Weizhu Chen
Main Conference Track
Transformer brain encoders explain human high-level visual responses Hossein Adeli, Sun Minni, Nikolaus Kriegeskorte
Main Conference Track
Blameless Users in a Clean Room: Defining Copyright Protection for Generative Models Aloni Cohen
Main Conference Track
Position: Require Frontier AI Labs To Release Small "Analog" Models Error
Position Paper Track
D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction Kejing Xia, Jidong Jia, Ke Jin, Yucai BAI, Li Sun, Dacheng Tao, Youjian Zhang
Main Conference Track
TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video Error
Datasets and Benchmarks Track
VideoMAR: Autoregressive Video Generation with Continuous Tokens Hu Yu, Biao Gong, Hangjie Yuan, DanDan Zheng, Weilong Chai, Jingdong Chen, Kecheng Zheng, Feng Zhao
Main Conference Track
Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning Amit Peleg, Naman Deep Singh, Matthias Hein
Main Conference Track
Adaptive Inference-Time Scaling via Cyclic Diffusion Search Gyubin Lee, Bao Truong, Jaesik Yoon, Dongwoo Lee, Minsu Kim, Yoshua Bengio, Sungjin Ahn
Main Conference Track
Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images Jiao Tang, WEI SHAO, Daoqiang Zhang
Main Conference Track
Storyboard-guided Alignment for Fine-grained Video Action Recognition Enqi Liu, Liyuan Pan, Yan Yang, Yiran Zhong, Zhijing Wu, Xinxiao Wu, Liu Liu
Main Conference Track
COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation Error
Datasets and Benchmarks Track
Reasoning Gym: Reasoning Environments for Reinforcement Learning with Verifiable Rewards Error
Datasets and Benchmarks Track
Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction Yifei Wang, Weimin Bai, colin zhang, Debing Zhang, Weijian Luo, He Sun
Main Conference Track
VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning Qiuchen Wang, Ruixue Ding, Yu Zeng, Zehui Chen, Lin Chen, Shihang Wang, Pengjun Xie, Fei Huang, Feng Zhao
Main Conference Track
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization Xiaochuan Gong, Jie Hao, Mingrui Liu
Main Conference Track
Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation Zhen Zhang, Prof Javen Qinfeng Shi, Wee Sun Lee
Main Conference Track
The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text Error
Datasets and Benchmarks Track
On Evaluating Policies for Robust POMDPs Merlijn Krale, Eline M. Bovy, Maris F. L. Galesloot, Thiago Simão, Nils Jansen
Main Conference Track
State-Covering Trajectory Stitching for Diffusion Planners Kyowoon Lee, Jaesik Choi
Main Conference Track
DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization Gang Li, Ming C. Lin, Tomer Galanti, Zhengzhong Tu, Tianbao Yang
Main Conference Track
One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding Zheyu Zhang, Ziqi Pang, Shixing Chen, Xiang Hao, Vimal Bhat, Yu-Xiong Wang
Main Conference Track
Discovering Symbolic Partial Differential Equation by Abductive Learning En-Hao Gao, Cunjing Ge, Yuan Jiang, Zhi-Hua Zhou
Main Conference Track
Continual Release Moment Estimation with Differential Privacy Nikita Kalinin, Jalaj Upadhyay, Christoph H. Lampert
Main Conference Track
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization Wei Shen, Jiawei zhang, Minhui Huang, Cong Shen
Main Conference Track
AutoHood3D: A Multi‑Modal Benchmark for Automotive Hood Design and Fluid–Structure Interaction Error
Datasets and Benchmarks Track
CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing Yifan Zhou, Tianshi Xu, Jue Hong, Ye Wu, Meng Li
Main Conference Track
Efficient Allocation of Working Memory Resource for Utility Maximization in Humans and Recurrent Neural Networks Qingqing Yang, Hsin-Hung Li
Main Conference Track
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning Andreas Auer, Patrick Podest, Daniel Klotz, Sebastian Böck, Günter Klambauer, Sepp Hochreiter
Main Conference Track
Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components Abel Jansma
Main Conference Track
GeoVideo: Introducing Geometric Regularization into Video Generation Model Yunpeng Bai, Shaoheng Fang, Chaohui Yu, Fan Wang, Qixing Huang
Main Conference Track
Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding Dekai Zhu, Yixuan Hu, Youquan Liu, Dongyue Lu, Lingdong Kong, Slobodan Ilic
Main Conference Track
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Yang Yue, Shiji Song, Gao Huang
Main Conference Track
SYMPHONY: Synergistic Multi-agent Planning with Heterogeneous Language Model Assembly Wei Zhu, Zhiwen Tang, Kun Yue
Main Conference Track
Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding Kaixiang Huang, Qifeng Zhang, Jin Wang, Jingru Yang, Yang Zhou, Huan Yu, Guodong Lu, Shengfeng He
Main Conference Track
KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration Dengwei Zhao, Shikui Tu, Yanan Sun, Lei Xu
Main Conference Track
Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies HaiYang Li, Liao Yu, Qiang Yu, Yunliang Zang
Main Conference Track
DISCO: Disentangled Communication Steering for Large Language Models Max Torop, Aria Masoomi, Masih Eskandar, Jennifer Dy
Main Conference Track
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling Liang Yin, Xudong Xie, Zhang Li, Xiang Bai, Yuliang Liu
Main Conference Track
Pairwise Calibrated Rewards for Pluralistic Alignment Daniel Halpern, Evi Micha, Ariel D Procaccia, Itai Shapira
Main Conference Track
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning Huikang Su, Dengyun Peng, Zifeng Zhuang, Yuhan Liu, Qiguang Chen, Donglin Wang, Qinghe Liu
Main Conference Track
SafePTR: Token-Level Jailbreak Defense in Multimodal LLMs via Prune-then-Restore Mechanism Beitao Chen, Xinyu Lyu, shengming yuan, Jingkuan Song, Hengtao Shen, Lianli Gao
Main Conference Track
Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding Xiangyu Wen, Min Li, Junhua Huang, Jianyuan Zhong, Zhijian Xu, Zeju Li, Yongxiang Huang, Mingxuan Yuan, Qiang Xu
Main Conference Track
Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment Xiaojun Jia, Sensen Gao, Simeng Qin, Tianyu Pang, Chao Du, Yihao Huang, Xinfeng Li, Yiming Li, Bo Li, Yang Liu
Main Conference Track
Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape Ruichen Chen, Keith Mills, Liyao Jiang, Chao Gao, Di Niu
Main Conference Track
CF-VLM:CounterFactual Vision-Language Fine-tuning jusheng zhang, Kaitong Cai, Yijia Fan, Jian Wang, Keze Wang
Main Conference Track
Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision Lu Gao, Wenlan Chen, Daoyuan Wang, Fei Guo, Cheng Liang
Main Conference Track
ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs Xiyao Wang, Zhengyuan Yang, Chao Feng, Yuhang Zhou, Xiaoyu Liu, Yongyuan Liang, Ming Li, Ziyi Zang, Linjie Li, Chung-Ching Lin, Kevin Lin, Furong Huang, Lijuan Wang
Main Conference Track
RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes Fang Li, Hao Helen Zhang, Narendra Ahuja
Main Conference Track
The quest for the GRAph Level autoEncoder (GRALE) Paul Krzakala, Gabriel Melo, Charlotte Laclau, Florence d'Alché-Buc, Rémi Flamary
Main Conference Track
OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization Hao Yuan, Wenli Ouyang, Changwen Zhang, Congrui Li, Yong Sun
Main Conference Track
DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction Yupu Zhang, Zelin Xu, Tingsong Xiao, Gustavo Seabra, Yanjun Li, Chenglong Li, Zhe Jiang
Datasets and Benchmarks Track
Prompt Tuning Decision Transformers with Structured and Scalable Bandits Finn Rietz, Oleg Smirnov, Sara Karimi, Lele Cao
Main Conference Track
AlphaFold Database Debiasing for Robust Inverse Folding Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Siyuan Li, Yufei Huang, Stan Z. Li
Main Conference Track
LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory Jingru Jia, Zehua Yuan, Junhao Pan, Paul E. McNamara, Deming Chen
Main Conference Track
DQVis Dataset: Natural Language to Biomedical Visualization Error
Datasets and Benchmarks Track
AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws Oren Neumann, Claudius Gros
Main Conference Track
Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting Jiaming Ma, Binwu Wang, Guanjun Wang, Kuo Yang, Zhengyang Zhou, Pengkun Wang, Xu Wang, Yang Wang
Main Conference Track
Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity Kumar Kshitij Patel, Ali Zindari, Sebastian Stich, Lingxiao Wang
Main Conference Track
PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series Xinghong Chen, Weilin Wu, Kunping Yang, Guannan Chen
Main Conference Track
Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization Bowei He, Lihao Yin, Hui-Ling Zhen, Shuqi LIU, Han Wu, Xiaokun Zhang, Mingxuan Yuan, Chen Ma
Main Conference Track
Clustering via Hedonic Games: New Concepts and Algorithms Gergely Csáji, Alexander Gundert, Jörg Rothe, Ildikó Schlotter
Main Conference Track
Private Zeroth-Order Optimization with Public Data Xuchen Gong, Tian Li
Main Conference Track
Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions Wenxuan Bao, Ruxi Deng, Jingrui He
Main Conference Track
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
Main Conference Track
Counterfactual Image Editing with Disentangled Causal Latent Space Yushu Pan, Elias Bareinboim
Main Conference Track
rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset Yifei Liu, Li Lyna Zhang, Yi Zhu, Bingcheng Dong, Xudong Zhou, Ning Shang, Fan Yang, Cheng Li, Mao Yang
Main Conference Track
PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization Yiming Huang, Yajie Hao, Yuxuan Du, Jing Zhou, Xiao Yuan, Xiaoting Wang
Main Conference Track
Reward-Aware Proto-Representations in Reinforcement Learning Hon Tik Tse, Siddarth Chandrasekar, Marlos C. Machado
Main Conference Track
HEIR: Learning Graph-Based Motion Hierarchies Cheng Zheng, William Koch, Baiang Li, Felix Heide
Main Conference Track
GSPN-2: Efficient Parallel Sequence Modeling Hongjun Wang, yitong jiang, Collin McCarthy, David Wehr, Hanrong Ye, Xinhao Li, Ka Chun Cheung, Wonmin Byeon, Jinwei Gu, Ke Chen, Kai Han, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Sifei Liu
Main Conference Track
Plug-and-play Feature Causality Decomposition for Multimodal Representation Learning Ye Liu, Zihan Ji, Hongmin Cai
Main Conference Track
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space Mingyang Yi, Bohan Wang
Main Conference Track
Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation Siwei Wen, junyan ye, Peilin Feng, Hengrui Kang, Zichen Wen, Yize Chen, Jiang Wu, wenjun wu, Conghui He, Weijia Li
Main Conference Track
IOSTOM: Offline Imitation Learning from Observations via State Transition Occupancy Matching Quang Anh Pham, Janaka Brahmanage, Tien Mai, Akshat Kumar
Main Conference Track
Lookahead Routing for Large Language Models Canbin Huang, Tianyuan Shi, Yuhua Zhu, Ruijun Chen, Xiaojun Quan
Main Conference Track
Corrector Sampling in Language Models Itai Gat, Neta Shaul, Uriel Singer, Yaron Lipman
Main Conference Track
Statistical Parity with Exponential Weights Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
Main Conference Track
DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-world Scenarios Yao Huang, Yitong Sun, Yichi Zhang, Ruochen Zhang, Yinpeng Dong, Xingxing Wei
Datasets and Benchmarks Track
Contextual Tokenization for Graph Inverted Indices Pritish Chakraborty, Indradyumna Roy, Soumen Chakrabarti, Abir De
Main Conference Track
What Makes a Reward Model a Good Teacher? An Optimization Perspective Noam Razin, Zixuan Wang, Hubert Strauss, Stanley Wei, Jason D. Lee, Sanjeev Arora
Main Conference Track
Spectral Conditioning of Attention Improves Transformer Performance Hemanth Saratchandran, Simon Lucey
Main Conference Track
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection Dongchan Cho, Jiho Han, Keumyeong Kang, Minsang Kim, Honggyu Ryu, Namsoon Jung
Main Conference Track
Revisiting Semi-Supervised Learning in the Era of Foundation Models Ping Zhang, Zheda Mai, Quang-Huy (Percy) Nguyen, Wei-Lun (Harry) Chao
Main Conference Track
Graphs Help Graphs: Multi-Agent Graph Socialized Learning Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Xinjie Yao, Qinghua Hu
Main Conference Track
Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization Haotian Luo, Haiying He, Yibo Wang, Jinluan Yang, Rui Liu, Naiqiang Tan, Xiaochun Cao, Dacheng Tao, Li Shen
Main Conference Track
Preference Optimization by Estimating the Ratio of the Data Distribution Yeongmin Kim, HeeSun Bae, Byeonghu Na, Il-chul Moon
Main Conference Track
MaNGO — Adaptable Graph Network Simulators via Meta-Learning Philipp Dahlinger, Tai Hoang, Denis Blessing, Niklas Freymuth, Gerhard Neumann
Main Conference Track
Generalization vs Specialization under Concept Shift Alex Nguyen, David J Schwab, Vudtiwat Ngampruetikorn
Main Conference Track
Continuous Simplicial Neural Networks Aref Einizade, Dorina Thanou, Fragkiskos D. Malliaros, Jhony H. Giraldo
Main Conference Track
Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning Pengxiang Li, Zhi Gao, Bofei Zhang, Yapeng Mi, Xiaojian (Shawn) Ma, Chenrui Shi, Tao Yuan, Yuwei Wu, Yunde Jia, Song-Chun Zhu, Qing Li
Main Conference Track
Density Ratio-Free Doubly Robust Proxy Causal Learning Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier, Liyuan Xu, Arthur Gretton
Main Conference Track
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry Antoine Collas, Ce Ju, Nicolas Salvy, Bertrand Thirion
Main Conference Track
Maximizing the Value of Predictions in Control: Accuracy Is Not Enough Yiheng Lin, Christopher Yeh, Zaiwei Chen, Adam Wierman
Main Conference Track
Fair Matroid Selection Kiarash Banihashem, MohammadTaghi Hajiaghayi, Danny Mittal
Main Conference Track
Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback Yi-Lun Wu, Bo-Kai Ruan, Chiang Tseng, Hong-Han Shuai
Main Conference Track
SAGE: A Unified Framework for Generalizable Object State Recognition with State-Action Graph Embedding Yuan Zang, Zitian Tang, Junho Cho, Jaewook Yoo, Chen Sun
Main Conference Track
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models Yan Gao, Massimo R. Scamarcia, Javier Fernandez-Marques, Mohammad Naseri, Chong Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, InSeo Song, KangYoon Lee, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane
Datasets and Benchmarks Track
CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward Yandong Guan, Xilin Wang, XiMing Xing, Jing Zhang, Dong Xu, Qian Yu
Main Conference Track
Prior-Guided Diffusion Planning for Offline Reinforcement Learning Donghyeon Ki, JunHyeok Oh, Seong-Woong Shim, Byung-Jun Lee
Main Conference Track
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming Paul Brunzema, Sebastian Trimpe
Main Conference Track
Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning Kongcheng Zhang, QI YAO, Shunyu Liu, Yingjie Wang, Baisheng Lai, Jieping Ye, Mingli Song, Dacheng Tao
Main Conference Track
Chain-of-Retrieval Augmented Generation Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei
Main Conference Track
Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW Fengmiao Bian, Jinyang ZHENG, Ziyun Liu, Jianzhou Luo, Jian-Feng CAI
Main Conference Track
Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective Emmanuel Anaya Gonzalez, Sairam Vaidya, Kanghee Park, Ruyi Ji, Taylor Berg-Kirkpatrick, Loris D'Antoni
Main Conference Track
Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering JIANFENG CAI, Jiale Hong, Zongmeng Zhang, Wengang Zhou, zhannianji, Houqiang Li
Main Conference Track
Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning Kaihang Pan, Yang Wu, Wendong Bu, Shen Kai, Juncheng Li, Yingting Wang, Yunfei Li, Siliang Tang, Jun Xiao, Fei Wu, ZhaoHang, Yueting Zhuang
Main Conference Track
SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models Yibo Wang, Guangda Huzhang, Qingguo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang
Main Conference Track
Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations Ji-An Li, Huadong Xiong, Robert Wilson, Marcelo G Mattar, Marcus K. Benna
Main Conference Track
Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization Mohammad Pedramfar, Christopher John Quinn, Vaneet Aggarwal
Main Conference Track
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees Eilon Vaknin Laufer, Boaz Nadler
Main Conference Track
NeuroRenderedFake: A Challenging Benchmark to Detect Fake Images Generated by Advanced Neural Rendering Methods Error
Datasets and Benchmarks Track
Multi-Token Prediction Needs Registers Anastasios Gerontopoulos, Spyridon Gidaris, Nikos Komodakis
Main Conference Track
Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain Jingmin An, Yilong Song, Ruolin Yang, Nai Ding, Lingxi Lu, Yuxuan Wang, Wei Wang, Chu Zhuang, Qian Wang, Fang Fang
Main Conference Track
Robust and Scalable Autonomous Reinforcement Learning in Irreversible Environments Sang-Hyun Lee
Main Conference Track
Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling Linnan Tu, Lingwei Meng, Zongyi Li, Hefei Ling, Shijuan Huang
Main Conference Track
Optimization Inspired Few-Shot Adaptation for Large Language Models Boyan Gao, Xin Wang, Yibo Yang, David Clifton
Main Conference Track
Learning from Interval Targets Rattana Pukdee, Ziqi Ke, Chirag Gupta
Main Conference Track
Dataset Distillation for Pre-Trained Self-Supervised Vision Models George Cazenavette, Antonio Torralba, Vincent Sitzmann
Main Conference Track
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning Shikuang Deng, Jiayuan Zhang, Yuhang Wu, Ting Chen, Shi Gu
Main Conference Track
Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency Xiangyu Guo, Zhanqian Wu, Kaixin Xiong, Ziyang Xu, Lijun Zhou, Gangwei Xu, Shaoqing Xu, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Wenyu Liu, Xinggang Wang
Main Conference Track
Optimal Rates in Continual Linear Regression via Increasing Regularization Ran Levinstein, Amit Attia, Matan Schliserman, Uri Sherman, Daniel Soudry, Tomer Koren, Itay Evron
Main Conference Track
Rendering-Aware Reinforcement Learning for Vector Graphics Generation Juan Rodriguez, Haotian Zhang, Abhay Puri, Rishav Pramanik, Aarash Feizi, Pascal Wichmann, Arnab Mondal, Mohammad R. Samsami, Rabiul Awal, Perouz Taslakian, Spandana Gella, Sai Rajeswar Mudumba, David Vazquez, Chris Pal, Marco Pedersoli
Main Conference Track
Monotone and Separable Set Functions: Characterizations and Neural Models SOUTRIK SARANGI, Yonatan Sverdlov, Nadav Dym, Abir De
Main Conference Track
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain Wenzhen Yue, Yong Liu, Hao Wang, Haoxuan Li, Xianghua Ying, Ruohao Guo, Bowei Xing, Ji Shi
Main Conference Track
PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations Vivek Gopalakrishnan, Neel Dey, Polina Golland
Main Conference Track
Compress Large Language Models via Collaboration Between Learning and Matrix Approximation Yuesen Liao, Zhiwei Li, Binrui Wu, Zihao Cheng, Su Zhao, Shuai Chen, Weizhong Zhang
Main Conference Track
Erasing Conceptual Knowledge from Language Models Rohit Gandikota, Sheridan Feucht, Samuel Marks, David Bau
Main Conference Track
SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization Xiaofeng Tan, Hongsong Wang, Xin Geng, Pan Zhou
Main Conference Track
PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding Error
Datasets and Benchmarks Track
Hierarchical Shortest-Path Graph Kernel Network Jiaxin Wang, Wenxuan Tu, Jieren Cheng
Main Conference Track
Training Language Models to Reason Efficiently Daman Arora, Andrea Zanette
Main Conference Track
ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression Tom Burgert, Oliver Stoll, Paolo Rota, Begum Demir
Main Conference Track
Reinforced Active Learning for Large-Scale Virtual Screening with Learnable Policy Model Yicong Chen, Jiahua Rao, Jiancong Xie, Dahao Xu, Zhen Wang, Yuedong Yang
Main Conference Track
Encouraging metric-aware diversity in contrastive representation space Tianxu Li, Kun Zhu
Main Conference Track
Perception Encoder: The best visual embeddings are not at the output of the network Daniel Bolya, Po-Yao Huang, Peize Sun, Jang Hyun Cho, Andrea Madotto, Chen Wei, Tengyu Ma, Jiale Zhi, Jathushan Rajasegaran, Hanoona Bangalath, Junke Wang, Marco Monteiro, Hu Xu, Shiyu Dong, Nikhila Ravi, Shang-Wen Li, Piotr Dollar, Christoph Feichtenhofer
Main Conference Track
Curvature Tuning: Provable Training-free Model Steering From a Single Parameter Leyang Hu, Matteo Gamba, Randall Balestriero
Main Conference Track
R-KV: Redundancy-aware KV Cache Compression for Reasoning Models Zefan Cai, Wen Xiao, Hanshi Sun, cheng Luo, Yikai Zhang, Ke Wan, Yucheng Li, Yeyang Zhou, Li-Wen Chang, Jiuxiang Gu, Zhen Dong, Animashree Anandkumar, Abedelkadir Asi, Junjie Hu
Main Conference Track
FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators Guy Moss, Leah Muhle, Reinhard Drews, Jakob H Macke, Cornelius Schröder
Main Conference Track
CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models Zhihang Lin, Mingbao Lin, Yuan Xie, Rongrong Ji
Main Conference Track
$\texttt{STRCMP}$: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Xijun Li, Jiexiang Yang, Jinghao Wang, Bo Peng, Jianguo Yao, Haibing Guan
Main Conference Track
Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses Deheng Yuan, Tao Guo, Zhongyi Huang
Main Conference Track
FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning Gang Yan, Sikai Yang, Wan Du
Main Conference Track
Analog Foundation Models Julian Büchel, Iason Chalas, Giovanni Acampa, An Chen, Omobayode Fagbohungbe, Hsinyu Tsai, Kaoutar El Maghraoui, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
Main Conference Track
Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation Divyanshu Mishra, Mohammadreza Salehi, Pramit Saha, Olga Patey, Aris Papageorghiou, Yuki Asano, Alison Noble
Main Conference Track
Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials Yifan Pu, Jixuan Ying, Qixiu Li, Tianzhu Ye, Dongchen Han, Xiaochen Wang, Ziyi Wang, shao xinyu, Gao Huang, Xiu Li
Main Conference Track
More of the Same: Persistent Representational Harms Under Increased Representation Jennifer Mickel, Maria De-Arteaga, Liu Leqi, Kevin Tian
Main Conference Track
Aeolus: A Multi-structural Flight Delay Dataset Error
Datasets and Benchmarks Track
RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation Boyuan Cao, Jiaxin Ye, Yujie Wei, Hongming Shan
Main Conference Track
Learning Simple Interpolants for Linear Integer Arithmetic Minchao Wu, Naoki Kobayashi
Main Conference Track
Measure-Theoretic Anti-Causal Representation Learning Arman Behnam, Binghui Wang
Main Conference Track
REOBench: Benchmarking Robustness of Earth Observation Foundation Models Xiang Li, Yong Tao, Siyuan Zhang, Siwei Liu, Zhitong Xiong, Chunbo Luo, Lu Liu, Mykola Pechenizkiy, Xiaoxiang Zhu, Tianjin Huang
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Smooth Quadratic Prediction Markets Enrique Nueve, Bo Waggoner
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ReDit: Reward Dithering for Improved LLM Policy Optimization Chenxing Wei, Jiarui Yu, Ying He, Hande Dong, Yao SHU, Fei Richard Yu
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Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Qiming Hu, Linlong Fan, Yiyan Luo, Yuhang Yu, Xiaojie Guo, Qingnan Fan
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MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild Deming Li, Kaiwen Jiang, Yutao Tang, Ravi Ramamoorthi, Rama Chellappa, Cheng Peng
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$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Rahul Vaze, Abhishek Sinha
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You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM Binqian Xu, Haiyang Mei, Zechen Bai, Jinjin Gong, Rui Yan, Guosen Xie, Yazhou Yao, Basura Fernando, Xiangbo Shu
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EuroSpeech: A Multilingual Speech Corpus Error
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Accurate and Efficient Low-Rank Model Merging in Core Space Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bartłomiej Twardowski, Andrew D. Bagdanov, SIMONE CALDERARA, Joost van de Weijer
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Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation Xiang Fang, Wanlong Fang, Changshuo Wang
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Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization Noémie Bergues, Arthur Carré, Paul Join-Lambert, Brice Hoffmann, Arnaud Blondel, Hamza Tajmouati
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Continual Gaussian Mixture Distribution Modeling for Class Incremental Semantic Segmentation Guilin Zhu, Runmin Wang, Yuanjie Shao, Wei dong Yang, Nong Sang, Changxin Gao
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Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays Songchen Fu, Siang Chen, Shaojing Zhao, Letian Bai, Hong Liang, Ta Li, Yonghong Yan
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See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model Pengteng Li, Pinhao Song, Wuyang Li, Huizai Yao, Weiyu Guo, Yijie Xu, Dugang Liu, Hui Xiong
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No-Regret Online Autobidding Algorithms in First-price Auctions Yilin LI, Yuan Deng, Wei Tang, Hanrui Zhang
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MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? Zhaorun Chen, Zichen Wen, Yichao Du, Yiyang Zhou, Chenhang Cui, Siwei Han, Jen Weng, Chaoqi Wang, Zhengwei Tong, Leria HUANG, Canyu Chen, Haoqin Tu, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao
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HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation Ling Yang, Xinchen Zhang, Ye Tian, Shiyi Zhang, Chenming Shang, Minghao Xu, Wentao Zhang, Bin CUI
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Constant Bit-size Transformers Are Turing Complete Qian Li, Yuyi Wang
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First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training Lai Wei, Yuting Li, Chen Wang, Yue Wang, Linghe Kong, Weiran Huang, Lichao Sun
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REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning Sungho Jeon, Xinyue Ma, Kwang In Kim, Myeongjae Jeon
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PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization Honglin Li, Zhongyi Shui, Yunlong Zhang, Chenglu Zhu, Lin F. Yang
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HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks Hongjin Qian, Zheng Liu, Chao Gao, Yankai Wang, Defu Lian, Zhicheng Dou
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KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills Weiji Xie, Jinrui Han, Jiakun Zheng, Huanyu Li, Xinzhe Liu, Jiyuan Shi, Weinan Zhang, Chenjia Bai, Xuelong Li
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Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators Imon Banerjee, Sayak Chakrabarty
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Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields Xixian Liu, Rui Jiao, ZHIYUAN LIU, Yurou Liu, Yang Liu, Ziheng Lu, Wenbing Huang, Yang Zhang, Yixin Cao
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Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations Error
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Logic.py: Bridging the Gap between LLMs and Constraint Solvers Pascal Kesseli, Peter O'Hearn, Ricardo S. Cabral
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EVAAA: A Virtual Environment Platform for Essential Variables in Autonomous and Adaptive Agents Error
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Non-Stationary Structural Causal Bandits Yeahoon Kwon, Yesong Choe, Soungmin Park, Neil Dhir, Sanghack Lee
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Normal-Abnormal Guided Generalist Anomaly Detection Yuexin Wang, Xiaolei Wang, Yizheng Gong, Jimin XIAO
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Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Generation Zheng Anlin, Xin Wen, Xuanyang Zhang, Chuofan Ma, Tiancai Wang, Gang Yu, Xiangyu Zhang, Xiaojuan Qi
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MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans Huiyi Wang, Chun Kwang Tan, Balint Hodossy, Shirui Lyu, Pierre Schumacher, James Heald, Kai Biegun, Samo Hromadka, Maneesh Sahani, Gunwoo Park, Beomsoo Shin, JongHyeon Park, Seungbum Koo, Chenhui Zuo, Chengtian Ma, Yanan Sui, Nick Hansen, Stone Tao, Yuan Gao, Hao Su, Seungmoon Song, Letizia Gionfrida, Massimo Sartori, Guillaume Durandau, Vikash Kumar, Vittorio Caggiano
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Language Models Can Predict Their Own Behavior Dhananjay Ashok, Jonathan May
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Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization kaiyuan Li, Xiaoyue Chen, Chen Gao, Yong Li, Xinlei Chen
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Information Retrieval Induced Safety Degradation in AI Agents Cheng Yu, Benedikt Stroebl, Diyi Yang, Orestis Papakyriakopoulos
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BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset Zhiheng Xi, Guanyu Li, Yutao Fan, Honglin Guo, Yufang Liu, Xiaoran Fan, Jiaqi Liu, dingjinchao, Wangmeng Zuo, Zhenfei Yin, LEI BAI, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
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Enhancing Multilingual LLM Pretraining with Model-Based Data Selection Error
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Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving Daoguang Zan, Zhirong Huang, Wei Liu, Hanwu Chen, Shulin Xin, Linhao Zhang, Qi Liu, Li Aoyan, Lu Chen, Xiaojian Zhong, Siyao Liu, Yongsheng Xiao, Liangqiang Chen, Yuyu Zhang, Jing Su, Tianyu Liu, RUI LONG, Ming Ding, liang xiang
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Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation Wenjie Du, Xuqiang Li, Jinke Feng, Shuai Zhang, Wen Zhang, Yang Wang
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C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction Error
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CoreaSpeech: Korean Speech Corpus via JAMO-based Coreset Selection for Efficient and Robust Korean Speech Generation Error
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On Reasoning Strength Planning in Large Reasoning Models Leheng Sheng, An Zhang, Zijian Wu, Weixiang Zhao, Changshuo Shen, zhang yi, Xiang Wang, Tat-Seng Chua
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Simultaneous Swap Regret Minimization via KL-Calibration Haipeng Luo, Spandan Senapati, Vatsal Sharan
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Fantastic Bugs and Where to Find Them in AI Benchmarks Error
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Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization Xiyue Peng, Hengquan Guo, Jiawei Zhang, Dongqing Zou, Ziyu Shao, Honghao Wei, Xin Liu
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AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding Chaeyoung Jung, Youngjoon Jang, Joon Son Chung
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Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities Tara Akhound-Sadegh, Jungyoon Lee, Joey Bose, Valentin De Bortoli, Arnaud Doucet, Michael Bronstein, Dominique Beaini, Siamak Ravanbakhsh, Kirill Neklyudov, Alexander Tong
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Can We Infer Confidential Properties of Training Data from LLMs? Pengrun Huang, Chhavi Yadav, Kamalika Chaudhuri, Ruihan Wu
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Knot So Simple: A Minimalistic Environment for Spatial Reasoning Error
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Explaining and Mitigating Crosslingual Tokenizer Inequities Catherine Arnett, Tyler Chang, Stella Biderman, Benjamin Bergen
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Web-Shepherd: Advancing PRMs for Reinforcing Web Agents Hyungjoo Chae, Seonghwan Kim, Junhee Cho, Seungone Kim, Seungjun Moon, Gyeom Hwangbo, Dongha Lim, Minjin Kim, Yeonjun Hwang, Minju Gwak, Dongwook Choi, Minseok Kang, Gwanhoon Im, ByeongUng Cho, Hyojun Kim, Jun Han, Taeyoon Kwon, Minju Kim, Beong-woo Kwak, Dongjin Kang, Jinyoung Yeo
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SolidGeo: Measuring Multimodal Spatial Math Reasoning in Solid Geometry Error
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In Search of Adam’s Secret Sauce Antonio Orvieto, Robert Gower
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Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry Chengyuan Deng, Jie Gao, Kevin Lu, Feng Luo, Cheng Xin
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TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets Yuzhe YANG, Yifei Zhang, Minghao Wu, Kaidi Zhang, Yunmiao Zhang, Honghai Yu, Yan Hu, Benyou Wang
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Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models Ehsan Sharifian, Saber Salehkaleybar, Negar Kiyavash
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Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences Jing-An Sun, Hang Fan, Junchao Gong, Ben Fei, Kun Chen, Fenghua Ling, Wenlong Zhang, Wanghan Xu, Li Yan, Pierre Gentine, LEI BAI
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SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning Hong Wang, Jie Wang, Minghao Ma, Haoran Shao, Haoyang Liu
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Open-Vocabulary Part Segmentation via Progressive and Boundary-Aware Strategy Xinlong Li, Di Lin, Shaoyiyi Gao, Jiaxin Li, Ruonan Liu, Qing Guo
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BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models Peiyan Li, Yixiang Chen, Hongtao Wu, Xiao Ma, Xiangnan Wu, Yan Huang, Liang Wang, Tao Kong, Tieniu Tan
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RoboScape: Physics-informed Embodied World Model Yu Shang, Xin Zhang, Yinzhou Tang, Lei Jin, Chen Gao, Wei Wu, Yong Li
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Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics Indrashis Das, Mahmoud Safari, Steven Adriaensen, Frank Hutter
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A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond Zicheng Hu, Cheng Chen
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Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations Liviu Aolaritei, Julie Zhu, Oliver Wang, Michael I Jordan, Youssef Marzouk
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VLM-R³: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought Chaoya Jiang, Yongrui Heng, Wei Ye, Haiyang Xu, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang
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TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning Sheng Wang, Pengan CHEN, Jingqi Zhou, Qintong Li, Jingwei Dong, Jiahui Gao, Boyang XUE, Jiyue Jiang, Lingpeng Kong, Chuan Wu
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The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels Yonatan Slutzky, ‪Yotam Alexander‬‏, Noam Razin, Nadav Cohen
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AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation Sixiang Chen, Jiaming Liu, Siyuan Qian, Han Jiang, Zhuoyang Liu, Chenyang Gu, Xiaoqi Li, Chengkai Hou, Pengwei Wang, Zhongyuan Wang, Renrui Zhang, Shanghang Zhang
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DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration Tianteng Gu, Bei Liu, Bo Xiao, Ke Zeng, Jiacheng Liu, Yanmin Qian
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Parameter-free Algorithms for the Stochastically Extended Adversarial Model Shuche Wang, Adarsh Barik, Peng Zhao, Vincent Tan
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Generalizing Experience for Language Agents with Hierarchical MetaFlows Shengda Fan, Xin Cong, Zhong Zhang, Yuepeng Fu, Yesai Wu, Hao Wang, Xinyu Zhang, Enrui Hu, Yankai Lin
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Rope to Nope and Back Again: A New Hybrid Attention Strategy Bowen Yang, Bharat Venkitesh, Dwaraknath Gnaneshwar Talupuru, Hangyu Lin, David Cairuz, Phil Blunsom, Acyr Locatelli
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Compositional Neural Network Verification via Assume-Guarantee Reasoning Hai Duong, David Shriver, ThanhVu Nguyen, Matthew Dwyer
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Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley Osher, Markos A. Katsoulakis
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Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL Ruitao Wu, Yifan Zhao, Guangyao Chen, Jia Li
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GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer Sayan Deb Sarkar, Sinisa Stekovic, Vincent Lepetit, Iro Armeni
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DAA: Amplifying Unknown Discrepancy for Test-Time Discovery Tianle Liu, Fan Lyu, Chenggong Ni, Zhang, Fuyuan Hu, Liang Wang
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Fast Data Attribution for Text-to-Image Models Sheng-Yu Wang, Aaron Hertzmann, Alexei A Efros, Richard Zhang, Jun-Yan Zhu
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Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence Shaopeng Fu, Liang Ding, Jingfeng ZHANG, Di Wang
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Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Vishnu Sarukkai, Zhiqiang Xie, Kayvon Fatahalian
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Universal Video Temporal Grounding with Generative Multi-modal Large Language Models Zeqian Li, Shangzhe Di, Zhonghua Zhai, Weilin Huang, Yanfeng Wang, Weidi Xie
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scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy Ashesh Ashesh, Florian Jug
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Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators Lucas Berry, David Meger
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HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations Shuaicheng Zhang, Haohui Wang, Junhong Lin, Xiaojie Guo, Yada Zhu, Si Zhang, Dongqi Fu, Dawei Zhou
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Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik
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Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement Yinlin Zhu, Xunkai Li, Jishuo Jia, Miao Hu, Di Wu, Meikang Qiu
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When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective Alireza Mousavi-Hosseini, Clayton Sanford, Denny Wu, Murat A Erdogdu
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Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability Wenzhao Liu, Haoran Li, Congying Han, Zicheng Zhang, Anqi Li, Tiande Guo
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ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization Bo Du, Xuekang Zhu, Xiaochen Ma, Chenfan Qu, Kaiwen Feng, Zhe Yang, Chi-Man Pun, Jian liu, Ji-Zhe Zhou
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Rectifying Shortcut Behaviors in Preference-based Reward Learning Wenqian Ye, Guangtao Zheng, Aidong Zhang
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3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes Sean Lamont, Christian Walder, Amir Dezfouli, Paul Montague, Michael Norrish
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Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer Ruiqi Xue, Ziqian Zhang, Lihe Li, Cong Guan, Lei Yuan, Yang Yu
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Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts Siyang Jiang, Rui Fang, Hsi-Wen Chen, Wei Ding, Guoliang Xing, Ming-syan Chen
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The Quest for Universal Master Key Filters in DS-CNNs Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
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GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation Error
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Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost Runzhe Zhan, Zhihong Huang, Xinyi Yang, Lidia Chao, Min Yang, Derek F. Wong
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A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances Zichong Wang, Zhipeng Yin, Wenbin Zhang
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Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design Jake Callahan, Andrew Chin, Jason Pacheco, Tommie Catanach
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Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models Ilias Diakonikolas, Giannis Iakovidis, Daniel Kane, Lisheng Ren
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Fairness-aware Bayes Optimal Functional Classification Xiaoyu Hu, Gengyu Xue, Zhenhua Lin, Yi Yu
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Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning Dipam Goswami, Simone Magistri, Kai Wang, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
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SMMILE: An expert-driven benchmark for multimodal medical in-context learning Error
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ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D Modeling Shuyuan Zhang, ChenHan Jiang, Zuoou Li, Jiankang Deng
Main Conference Track
CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs Zhiyuan Ning, Jiawei Shao, Ruge Xu, Xinfei Guo, Jun Zhang, Chi Zhang, Xuelong Li
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Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems Jeffrey Alido, Tongyu Li, Yu Sun, Lei Tian
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APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay Akshara Prabhakar, Zuxin Liu, Ming Zhu, Jianguo Zhang, Tulika Manoj Awalgaonkar, Shiyu Wang, Zhiwei Liu, Haolin Chen, Thai Hoang, Juan Carlos Niebles, Shelby Heinecke, Weiran Yao, Huan Wang, Silvio Savarese, Caiming Xiong
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Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations Shixin Li, Zewei Li, Xiaojing Ma, Xiaofan Bai, Pingyi Hu, Dongmei Zhang, Bin Zhu
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A Single-Swap Local Search Algorithm for k-Means of Lines Ting Liang, Xiaoliang Wu, Junyu Huang, Jianxin Wang, Qilong Feng
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Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks Yi Xiao, Qiangqiang Yuan, Kui Jiang, Wenke Huang, Qiang Zhang, Tingting Zheng, Chia-Wen Lin, Liangpei Zhang
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EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding Error
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The Complexity of Correlated Equilibria in Generalized Games Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Gabriele Farina
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Multi-View Oriented GPLVM: Expressiveness and Efficiency Zi Yang, Ying Li, Zhidi Lin, Michael Minyi Zhang, Pablo M. Olmos
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System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Xiaoqiang Wang, Suyuchen Wang, Yun Zhu, Bang Liu
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WALL-E: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang
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Concept-Guided Interpretability via Neural Chunking Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik, Peter Dayan, Eric Schulz, Zeynep Akata
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Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective Yang Zhang, Xinran Li, Jianing Ye, Shuang Qiu, Delin Qu, Xiu Li, Chongjie Zhang, Chenjia Bai
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Mamba Only Glances Once (MOGO): A Lightweight Framework for Efficient Video Action Detection Yunqing Liu, Nan Zhang, Fangjun Wang, Kengo Murata, Takuma Yamamoto, Osafumi Nakayama, Genta Suzuki, Zhiming Tan
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Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification Xiaobao Wang, Ruoxiao Sun, Yujun Zhang, Bingdao Feng, Dongxiao He, Luzhi Wang, Di Jin
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Ambient Proteins - Training Diffusion Models on Noisy Structures Giannis Daras, Jeffrey Ouyang-Zhang, Krithika Ravishankar, Constantinos Daskalakis, Adam Klivans, Daniel Diaz
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Non-stationary Bandit Convex Optimization: A Comprehensive Study Xiaoqi Liu, Dorian Baudry, Julian Zimmert, Patrick Rebeschini, Arya Akhavan
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Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving Yuchen Zhang, Hanyue Du, Chun Cao, Jingwei Xu
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Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges Error
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CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning ao zhou, Jiayi Guan, Li Shen, Fan Lu, Sanqing Qu, Junqiao Zhao, Ziqiao Wang, Ya Wu, Guang Chen
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HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning Frank Wan, Xiaoran Shang, Yuxin Wu, Guibin Zhang, Jinhe Bi, Liangtao Zheng, Xin Lin, Yue Liu, Yanbiao Ma, Wenke Huang, Bo Du
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Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup Sibo Tian, Xin Wang, Zeyang Zhang, Haibo Chen, Wenwu Zhu
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ViSPLA: Visual Iterative Self-Prompting for Language-Guided 3D Affordance Learning Hritam Basak, Zhaozheng Yin
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SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency Quanjian Song, Donghao Zhou, Jingyu Lin, Fei Shen, Jiaze Wang, Xiaowei Hu, Cunjian Chen, Pheng-Ann Heng
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Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling Tsung-Han (Patrick) Wu, Heekyung Lee, Jiaxin Ge, Joseph E Gonzalez, Trevor Darrell, David Chan
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LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation Md Mostafijur Rahman, Radu Marculescu
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How do Transformers Learn Implicit Reasoning? Jiaran Ye, Zijun Yao, Zhidian Huang, Liangming Pan, Jinxin Liu, Yushi Bai, Amy Xin, Liu Weichuan, Xiaoyin Che, Lei Hou, Juanzi Li
Main Conference Track
Diffusion Network Inference for Cross-layer Cascades Siyu Huang, Yubai Yuan, Abdul Basit Adeel
Main Conference Track
Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits Shogo Iwazaki
Main Conference Track
CAPability: A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness Zhihang Liu, Chen-Wei Xie, Bin Wen, Feiwu Yu, JixuanChen, Pandeng Li, Boqiang Zhang, Nianzu Yang, YingluLi, Zuan Gao, Yun Zheng, Hongtao Xie
Datasets and Benchmarks Track
Generating and Checking DNN Verification Proofs Hai Duong, ThanhVu Nguyen, Matthew Dwyer
Main Conference Track
Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou
Main Conference Track
Dynamic Semantic-Aware Correlation Modeling for UAV Tracking Xinyu Zhou, Tongxin Pan, Lingyi Hong, Pinxue Guo, HaiJing Guo, Zhaoyu Chen, Kaixun Jiang, Wenqiang Zhang
Main Conference Track
Prompting as Scientific Inquiry Error
Position Paper Track
Reconstruction and Secrecy under Approximate Distance Queries Shay Moran, Elizaveta Nesterova
Main Conference Track
Bridging Scales: Spectral Theory Reveals How Local Connectivity Rules Sculpt Global Neural Dynamics in Spatially Extended Networks Yuhan Huang, Keren Gao, Dongping Yang, Sen Song, Guozhang Chen
Main Conference Track
The Parameterized Complexity of Computing the VC-Dimension Florent Foucaud, Harmender Gahlawat, Fionn Mc Inerney, Prafullkumar Tale
Main Conference Track
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing Adel Javanmard, Rudrajit Das, Alessandro Epasto, Vahab Mirrokni
Main Conference Track
Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs Kejia Zhang, Keda TAO, Jiasheng Tang, Huan Wang
Main Conference Track
Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach Swetha Ganesh, Vaneet Aggarwal
Main Conference Track
On the rankability of visual embeddings Ankit Sonthalia, Arnas Uselis, Seong Joon Oh
Main Conference Track
Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training Reza Shirkavand, Peiran Yu, Qi He, Heng Huang
Main Conference Track
Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning Navita Goyal, Hal Daumé III, Alexandre Drouin, Dhanya Sridhar
Main Conference Track
FAN: Fourier Analysis Networks Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jinliang Deng, Jing Su, Jun Zhang, Jingjing Xu
Main Conference Track
LLM Generated Persona is a Promise with a Catch Error
Position Paper Track
Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics Deep Patel, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Main Conference Track
Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs Yaniv Nikankin, Dana Arad, Yossi Gandelsman, Yonatan Belinkov
Main Conference Track
Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models Jun Ling, Yao Qi, Tao Huang, Shibo Zhou, Yanqin Huang, Jiang Yang, Ziqi Song, Ying Zhou, Yang Yang, Hengtao Shen, Peng Wang
Main Conference Track
Towards Understanding Transformers in Learning Random Walks Wei Shi, Yuan Cao
Main Conference Track
Attention-based clustering Rodrigo Maulen Soto, Pierre Marion, Claire Boyer
Main Conference Track
3D-Agent: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation jusheng zhang, Yijia Fan, Zimo Wen, Jian Wang, Keze Wang
Main Conference Track
VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction, Characterization and Recognition Rahul Moorthy Mahesh, Jun-Jee Chao, Volkan Isler
Main Conference Track
Adversarial generalization of unfolding (model-based) networks Vicky Kouni
Main Conference Track
Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning Jiayu Wang, Yifei Ming, Zixuan Ke, Caiming Xiong, Shafiq Joty, Aws Albarghouthi, Frederic Sala
Main Conference Track
Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction KunHo Heo, GiHyun Kim, SuYeon Kim, MyeongAh Cho
Main Conference Track
A Partition Cover Approach to Tokenization Jia Peng Lim, Shawn Tan, XianJun Davin Choo, Hady Lauw
Main Conference Track
DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs Chengtai Li, Yuting He, Jianfeng Ren, Ruibin Bai, Yitian Zhao, Xudong Jiang
Main Conference Track
Flexible Realignment of Language Models Wenhong Zhu, Ruobing Xie, Weinan Zhang, Rui Wang
Main Conference Track
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme Rudy Morel, Francesco Ramunno, Jeff Shen, Alberto Bietti, Kyunghyun Cho, Miles Cranmer, Siavash Golkar, OLEXANDR GUGNIN, Geraud Krawezik, Tanya Marwah, Michael McCabe, Lucas Meyer, Payel Mukhopadhyay, Ruben Ohana, Liam H. Parker, Helen Qu, François Rozet, K.D. Leka, Francois Lanusse, David F. Fouhey, Shirley Ho
Main Conference Track
MAP Estimation with Denoisers: Convergence Rates and Guarantees Scott Pesme, Giacomo Meanti, Michael Arbel, Julien Mairal
Main Conference Track
Teaching Language Models to Reason with Tools Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu
Main Conference Track
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Ruiqi Wang, Hao Helen Zhang
Main Conference Track
Omni-Mol: Multitask Molecular Model for Any-to-any Modalities Chengxin Hu, Hao Li, Yihe Yuan, Zezheng Song, Chenyang Zhao, Haixin Wang
Main Conference Track
GLVD: Guided Learned Vertex Descent Pol Caselles RIco, Francesc Moreno-Noguer
Main Conference Track
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions Weizhe Yuan, Jane Yu, Song Jiang, Karthik Padthe, Yang Li, Dong Wang, Ilia Kulikov, Kyunghyun Cho, Yuandong Tian, Jason E Weston, Xian Li
Datasets and Benchmarks Track
On Transferring Transferability: Towards a Theory for Size Generalization Eitan Levin, Yuxin Ma, Mateo Diaz, Soledad Villar
Main Conference Track
C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails Mintong Kang, Zhaorun Chen, Bo Li
Main Conference Track
Document Summarization with Conformal Importance Guarantees Bruce Kuwahara, Chen-Yuan Lin, Xiao Shi Huang, Kin Kwan Leung, Jullian Yapeter, Ilya Stanevich, Felipe Perez, Jesse C. Cresswell
Main Conference Track
Token Perturbation Guidance for Diffusion Models Javad Rajabi, Soroush Mehraban, Seyedmorteza Sadat, Babak Taati
Main Conference Track
Merlin L48 Spectrogram Dataset Error
Datasets and Benchmarks Track
MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix Ziyang Ma, Yinghao Ma, Yanqiao Zhu, Chen Yang, Yi-Wen Chao, Ruiyang Xu, Wenxi Chen, Yuanzhe Chen, Zhuo Chen, Jian Cong, Kai Li, Keliang Li, Siyou Li, Xinfeng Li, Xiquan Li, Zheng Lian, Yuzhe Liang, Minghao Liu, Zhikang Niu, Tianrui Wang, Wang Yuping, Yuxuan Wang, Yihao Wu, Guanrou Yang, Jianwei Yu, Ruibin Yuan, Zhisheng Zheng, Ziya Zhou, Haina Zhu, Wei Xue, Emmanouil Benetos, Kai Yu, Eng-Siong Chng, Xie Chen
Datasets and Benchmarks Track
DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy Rui Zhao, Yuze Fan, Ziguo Chen, Fei Gao, Zhenhai Gao
Main Conference Track
See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction Yuan Wu, Zhiqiang Yan, Yigong Zhang, Xiang Li, Jian Yang
Main Conference Track
3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation Yangshi Ge, Yiwei Bao, Feng Lu
Main Conference Track
InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy Vishnu Vinod, Krishna Pillutla, Abhradeep Guha Thakurta
Main Conference Track
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving Shuang Zeng, Xinyuan Chang, Mengwei Xie, Xinran Liu, Yifan Bai, Zheng Pan, Mu Xu, Xing Wei
Main Conference Track
MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning Hongjia Liu, Rongzhen Zhao, Haohan Chen, Joni K. Pajarinen
Main Conference Track
Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization Qingyang Zhang, Haitao Wu, Changqing Zhang, Peilin Zhao, Yatao Bian
Main Conference Track
Model Editing for Vision Transformers Xinyi Huang, Kangfei Zhao, Long-Kai Huang
Main Conference Track
FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning Lu Zhang, Jiazuo Yu, Haomiao Xiong, Ping Hu, Yunzhi Zhuge, Huchuan Lu, You He
Main Conference Track
Hyperbolic Dataset Distillation Wenyuan Li, Guang Li, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Main Conference Track
C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang, Yucheng Wang, Byung-Jun Yoon, Nathan Urban, Xiaoning Qian
Main Conference Track
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning Marlon Tobaben, Hibiki Ito, Joonas Jälkö, Yuan He, Antti Honkela
Main Conference Track
On the Sample Complexity Bounds of Bilevel Reinforcement Learning Mudit Gaur, Utsav Singh, Amrit Singh Bedi, Raghu Pasupathy, Vaneet Aggarwal
Main Conference Track
SpecMAS: A Multi-Agent System for Self-Verifying System Generation via Formal Model Checking Rishabh Agrawal, Kaushik Ranade, Aja Khanal, Kalyan Basu, Apurva Narayan
Main Conference Track
RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching Wenzhe Ouyang, Qi Ye, Jinghua Wang, Zenglin Xu, Jiming Chen
Main Conference Track
Robustly Learning Monotone Single-Index Models Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
Main Conference Track
Learning-Augmented Online Bidding in Stochastic Settings Spyros Angelopoulos, Bertrand Simon
Main Conference Track
GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing Rongyao Fang, Chengqi Duan, Kun Wang, Linjiang Huang, Hao Li, Hao Tian, Shilin Yan, Weihao Yu, Xingyu Zeng, Jifeng Dai, Xihui Liu, Hongsheng Li
Main Conference Track
MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Edwin R. Hancock
Main Conference Track
CellVerse: Do Large Language Models Really Understand Cell Biology? Fan Zhang, Tianyu Liu, Zhihong Zhu, Hao Wu, Haixin Wang, Donghao Zhou, Yefeng Zheng, Kun Wang, Xian Wu, Pheng-Ann Heng
Datasets and Benchmarks Track
Text-to-Code Generation for Modular Building Layouts in Building Information Modeling YINYI WEI, Xiao LI
Main Conference Track
Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking Liangliang Zhang, Zhuorui Jiang, Hongliang Chi, Haoyang Chen, Mohammed ElKoumy, Fali Wang, Qiong Wu, Zhengyi Zhou, Shirui Pan, Suhang Wang, Yao Ma
Datasets and Benchmarks Track
Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction Zhiqiang Zhong, Davide Mottin
Main Conference Track
Less is More: Local Intrinsic Dimensions of Contextual Language Models Benjamin Matthias Ruppik, Julius von Rohrscheidt, Carel van Niekerk, Michael Heck, Renato Vukovic, Shutong Feng, Hsien-chin Lin, Nurul Lubis, Bastian Rieck, Marcus Zibrowius, Milica Gasic
Main Conference Track
Tree-Guided Diffusion Planner Hyeonseong Jeon, Cheolhong Min, Jaesik Park
Main Conference Track
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model Wenbo Hu, Yining Hong, Yanjun Wang, Leison Gao, Zibu Wei, Xingcheng Yao, Nanyun Peng, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang
Main Conference Track
Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment Pengfei Zhao, Rongbo Luan, Wei Zhang, Peng Wu, Sifeng He
Main Conference Track
Efficient Multimodal Dataset Distillation via Generative Models Zhenghao Zhao, Haoxuan Wang, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
Main Conference Track
Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian Splatting Jiawei Zhang, Youmin Zhang, Fabio Tosi, Meiying Gu, Jiahe Li, Xiaohan Yu, Jin Zheng, Xiao Bai, Matteo Poggi
Main Conference Track
3DRS: MLLMs Need 3D-Aware Representation Supervision for Scene Understanding Xiaohu Huang, Jingjing Wu, Qunyi Xie, Kai Han
Main Conference Track
Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts Andrea Pugnana, Riccardo Massidda, Francesco Giannini, Pietro Barbiero, Mateo Espinosa Zarlenga, Roberto Pellungrini, Gabriele Dominici, Fosca Giannotti, Davide Bacciu
Main Conference Track
ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction Error
Datasets and Benchmarks Track
Sinusoidal Initialization, Time for a New Start Alberto Fernandez-Hernandez, Jose Mestre, Manuel F. Dolz, José Duato, Enrique Quintana-Orti
Main Conference Track
Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise Haocheng Luo, Mehrtash Harandi, Dinh Phung, Trung Le
Main Conference Track
Evaluating LLM-contaminated Crowdsourcing Data Without Ground Truth Yichi Zhang, Jinlong Pang, Zhaowei Zhu, Yang Liu
Main Conference Track
Position: AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift Error
Position Paper Track
Tapered Off-Policy REINFORCE - Stable and efficient reinforcement learning for large language models Nicolas Le Roux, Marc Bellemare, Jonathan Lebensold, Arnaud Bergeron, Joshua Greaves, Alexandre Fréchette, Carolyne Pelletier, Eric Thibodeau-Laufer, Sándor Tóth, Sam Work
Main Conference Track
RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events Zhenyuan Chen, Chenxi Wang, Ningyu Zhang, Feng Zhang
Datasets and Benchmarks Track
Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning Yanqiao Zhu, Yidan Shi, Yuanzhou Chen, Fang Sun, Yizhou Sun, Wei Wang
Main Conference Track
Causal Discovery and Inference through Next-Token Prediction Eivinas Butkus, Nikolaus Kriegeskorte
Main Conference Track
Universal Few-shot Spatial Control for Diffusion Models Kiet Nguyen, Chanhyuk Lee, Donggyun Kim, Dong Hoon Lee, Seunghoon Hong
Main Conference Track
Parameter Dynamics of Online Machine Learning and Test-time Adaptation Jae-Hong Lee
Main Conference Track
ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design Qijun Zhang, Yao Lu, Mengming Li, Shang Liu, Zhiyao Xie
Datasets and Benchmarks Track
Generalized Top-k Mallows Model for Ranked Choices Shahrzad Haddadan, Sara Ahmadian
Main Conference Track
STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking Xuewei Bai, Yongcai Wang, Deying Li, Haodi Ping, LI Chunxu
Main Conference Track
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models Haoyu Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang "Atlas" Wang, Pan Li
Main Conference Track
Are Language Models Efficient Reasoners? A Perspective from Logic Programming Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami, Clemente Pasti, Mrinmaya Sachan, Abulhair Saparov, Ryan Cotterell, Bernhard Schölkopf
Main Conference Track
Informed Initialization for Bayesian Optimization and Active Learning Carl Hvarfner, David Eriksson, Eytan Bakshy, Maximilian Balandat
Main Conference Track
Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting Ruyi An, haicheng huang, Huangjie Zheng, Mingyuan Zhou
Main Conference Track
Beyond the Average: Distributional Causal Inference under Imperfect Compliance Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui
Main Conference Track
Results of the Big ANN: NeurIPS’23 competition Harsha Vardhan simhadri, Martin Aumüller, Matthijs Douze, Dmitry Baranchuk, Amir Ingber, Edo Liberty, George Williams, Ben Landrum, Magdalen Manohar, Mazin Karjikar, Laxman Dhulipala, Meng Chen, Yue Chen, Rui Ma, Kai Zhang, Yuzheng Cai, Jiayang Shi, Weiguo Zheng, Yizhuo Chen, Jie Yin, Ben Huang
Datasets and Benchmarks Track
Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction Marzieh Ajirak, Oded Bein, Ellen Bowen, Dora Kanellopoulos, Avital Falk, FAITH GUNNING, Nili Solomonov, Logan Grosenick
Main Conference Track
SSRB: Direct Natural Language Querying to Massive Heterogeneous Semi-Structured Data Xin Zhang, Mingxin Li, Yanzhao Zhang, Dingkun Long, Yongqi Li, Yinghui Li, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang, Philip S Yu
Datasets and Benchmarks Track
ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space Chuanchao Zang, Xiangtao Meng, Wenyu Chen, Tianshuo Cong, Zha Yaxing, Dong Qi, Zheng Li, Shanqing Guo
Main Conference Track
On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks Mingze Wang, Weinan E
Main Conference Track
On the Role of Hidden States of Modern Hopfield Network in Transformer Tsubasa Masumura, Masato Taki
Main Conference Track
Adversarial Diffusion for Robust Reinforcement Learning Daniele Foffano, Alessio Russo, Alexandre Proutiere
Main Conference Track
Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models Yan-Shuo Liang, Jia-Rui Chen, Wu-Jun Li
Main Conference Track
CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs Gucongcong Fan, Chaoyue Niu, Chengfei Lyu, Fan Wu, Guihai Chen
Main Conference Track
Robust Sampling for Active Statistical Inference Puheng Li, Tijana Zrnic, Emmanuel Candes
Main Conference Track
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources Jason Wu, Yuyang Yuan, Kang Yang, Lance Kaplan, Mani Srivastava
Main Conference Track
JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model Qihao Duan, Bingding Huang, Zhenqiao Song, Irina Lehmann, Lei Gu, Roland Eils, Benjamin Wild
Main Conference Track
Instance-Level Composed Image Retrieval Bill Psomas, George Retsinas, Nikos Efthymiadis, Panagiotis Filntisis, Yannis Avrithis, Petros Maragos, Ondrej Chum, Giorgos Tolias
Main Conference Track
StateSpaceDiffuser: Bringing Long Context to Diffusion World Models Nedko Savov, Naser Kazemi, Deheng Zhang, Danda Pani Paudel, Xi Wang, Luc V Gool
Main Conference Track
Object-Centric Concept-Bottlenecks David Steinmann, Wolfgang Stammer, Antonia Wüst, Kristian Kersting
Main Conference Track
Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain Trinity Chung, Yuchen Shen, Nathan Kong, Aran Nayebi
Main Conference Track
MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark Error
Datasets and Benchmarks Track
When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding Yan Shu, Hangui Lin, Yexin Liu, Yan Zhang, Gangyan Zeng, Yan Li, Yu Zhou, Ser Nam Lim, Harry Yang, Nicu Sebe
Main Conference Track
MLEP: Multi-granularity Local Entropy Patterns for Generalized AI-generated Image Detection Lin Yuan, Xiaowan Li, Yan Zhang, Jiawei Zhang, Hongbo Li, Xinbo Gao
Main Conference Track
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Turkmen, Tony Hu, Huzefa Rangwala, Ying Nian Wu, Yuyang (Bernie) Wang, George Karypis
Main Conference Track
Flatten Graphs as Sequences: Transformers are Scalable Graph Generators Dexiong Chen, Markus Krimmel, Karsten Borgwardt
Main Conference Track
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning Xinyan Chen, Renrui Zhang, Dongzhi JIANG, Aojun Zhou, Shilin Yan, Weifeng Lin, Hongsheng Li
Main Conference Track
Evolutionary Prediction Games Eden Saig, Nir Rosenfeld
Main Conference Track
Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models Hongqiong Zhong, Qingyang Teng, Baolin Zheng, Guanlin Chen, Yingshui Tan, Zhendong Liu, Jiaheng Liu, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang
Main Conference Track
CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment Qinfeng Li, Tianyue Luo, Xuhong Zhang, Yangfan Xie, Zhiqiang Shen, Lijun Zhang, Yier Jin, Hao Peng, Xinkui Zhao, XianWei Zhu, Jianwei Yin
Main Conference Track
Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update Yu-Jie Zhang, Sheng-An Xu, Peng Zhao, Masashi Sugiyama
Main Conference Track
ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training Adel Nabli, Louis Fournier, Pierre ERBACHER, Louis Serrano, Eugene Belilovsky, Edouard Oyallon
Main Conference Track
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes Long Ma, Zhiyuan Yan, Jin Xu, Yize Chen, Qinglang Guo, Zhen Bi, Yong Liao, hui lin
Main Conference Track
ELDET: Early-Learning Distillation with Noisy Labels for Object Detection Dongmin Choi, Sangbin Lee, EungGu Yun, Jonghyuk Baek, Frank C. Park
Main Conference Track
AnomalyCoT: A Multi-Scenario Chain-of-Thought Dataset for Multimodal Large Language Models Jiaxi Cheng, Yuliang Xu, Shoupeng Wang, Tao Ma, Yuchen He, Jinghe Zhang, Sihang Cai, Jiawei Zhen, Jingyi Jia, Yao Wan, Yan Xia, Zhou Zhao
Datasets and Benchmarks Track
On the Robustness of Transformers against Context Hijacking for Linear Classification Tianle Li, Chenyang Zhang, Xingwu Chen, Yuan Cao, Difan Zou
Main Conference Track
The Dual Nature of Plasticity Loss in Deep Continual Learning: Dissection and Mitigation Haoyu Wang, Wei Dai, Jiawei Zhang, Jialun Ma, Mingyi Huang, Yuguo Yu
Main Conference Track
Towards precision protein-ligand affinity prediction benchmark: A Complete and Modification-Aware DAVIS Dataset Error
Datasets and Benchmarks Track
Reverse Diffusion Sequential Monte Carlo Samplers Luhuan Wu, Yi Han, Christian Andersson Naesseth, John P. Cunningham
Main Conference Track
From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers Ryotaro Kawata, Yujin Song, Alberto Bietti, Naoki Nishikawa, Taiji Suzuki, Samuel Vaiter, Denny Wu
Main Conference Track
Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations Yujia Zhang, Xiaoyang Wu, Yixing Lao, Chengyao Wang, Zhuotao Tian, Naiyan Wang, Hengshuang Zhao
Main Conference Track
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor Maryam Aliakbarpour, Zhan Shi, Ria Stevens, Vincent Wang
Main Conference Track
Glance2Gaze: Efficient Vision-Language Models from Glance Fusion to Gaze Compression Juan Chen, Honglin liu, Yingying Ao, Ting Zhang, Yan Huang, Xudong Liu, Biao Li, Jintao Fang
Main Conference Track
Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models Tyler Chang, Benjamin Bergen
Main Conference Track
Revisiting Bi-Linear State Transitions in Recurrent Neural Networks Reza Ebrahimi, Roland Memisevic
Main Conference Track
Unified all-atom molecule generation with neural fields Matthieu Kirchmeyer, Pedro O O. Pinheiro, Emma Willett, Karolis Martinkus, Joseph Kleinhenz, Emily Makowski, Andrew Watkins, Vladimir Gligorijevic, Richard Bonneau, Saeed Saremi
Main Conference Track
Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory Yuqi Wu, Wenzhao Zheng, Jie Zhou, Jiwen Lu
Main Conference Track
Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents Han Lin, Jaemin Cho, Amir Zadeh, Chuan Li, Mohit Bansal
Main Conference Track
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation Zichen Wen, Shaobo Wang, Yufa Zhou, Junyuan Zhang, Qintong Zhang, Yifeng Gao, Zhaorun Chen, Bin Wang, Weijia Li, Conghui He, Linfeng Zhang
Main Conference Track
Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
Main Conference Track
RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching Runze Ma, Zhongyue Zhang, Zichen Wang, Chenqing Hua, Jiahua Rao, Zhuomin Zhou, Shuangjia Zheng
Main Conference Track
Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Hao Yu, Chuan Tang, Miaomiao Li, Xinwang Liu
Main Conference Track
Direct Alignment with Heterogeneous Preferences Ali Shirali, Arash Nasr-Esfahany, Abdullah Alomar, Parsa Mirtaheri, Rediet Abebe, Ariel D Procaccia
Main Conference Track
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-wild}$ Cascading Flow Optimization Yixiao Chen, Shikun Sun, Jianshu Li, Ruoyu Li, Zhe Li, Junliang Xing
Main Conference Track
Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set Chenghao Liu, Enming Liang, Minghua Chen
Main Conference Track
Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios Shengju Yu, Pei Zhang, Siwei Wang, Suyuan Liu, Xinhang Wan, Zhibin Dong, Tiejun Li, Xinwang Liu
Main Conference Track
Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model Yudong Li, Jingyuan Wang, Xie Yu, Peiyu Wang, Qian Huang
Main Conference Track
Conformal Risk Training: End-to-End Optimization of Conformal Risk Control Christopher Yeh, Nicolas Christianson, Adam Wierman, Yisong Yue
Main Conference Track
Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving Xuan Chen, Shiwei Feng, Zikang Xiong, Shengwei An, Yunshu Mao, Lu Yan, Guanhong Tao, Wenbo Guo, Xiangyu Zhang
Main Conference Track
Markov Persuasion Processes: Learning to Persuade From Scratch Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Main Conference Track
Learnable Sampler Distillation for Discrete Diffusion Models Feiyang Fu, Tongxian Guo, Zhaoqiang Liu
Main Conference Track
Stop the Nonconsensual Use of Nude Images in Research Error
Position Paper Track
Efficient RAW Image Deblurring with Adaptive Frequency Modulation Wenlong Jiao, Binglong Li, Wei Shang, Ping Wang, Dongwei Ren
Main Conference Track
Quantum Doubly Stochastic Transformers Jannis Born, Filip Skogh, Kahn Rhrissorrakrai, Filippo Utro, Nico Wagner, Aleksandros Sobczyk
Main Conference Track
Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections Bo Wang, Qinyuan Cheng, Runyu Peng, Rong Bao, Peiji Li, Qipeng Guo, Linyang Li, Zhiyuan Zeng, Yunhua Zhou, Xipeng Qiu
Main Conference Track
MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning Frank Wan, Fengyuan Ran, Ruikang Zhang, Wenke Huang, Xuankun Rong, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye
Main Conference Track
Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models William Overman, Mohsen Bayati
Main Conference Track
Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration Hongkang Zhang, Shao-Lun Huang, Ercan KURUOGLU, Yanlong Wang
Main Conference Track
Chain of Execution Supervision Promotes General Reasoning in Large Language Models Nuo Chen, Zehua Li, Keqin Bao, Junyang Lin, Dayiheng Liu
Main Conference Track
Simultaneous Statistical Inference for Off-Policy Evaluation in Reinforcement Learning Tianpai Luo, Xinyuan Fan, Weichi Wu
Main Conference Track
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification Chaewoon Bae, Doyun Choi, Jaehyun Lee, Jaemin Yoo
Main Conference Track
MoCha: Towards Movie-Grade Talking Character Generation Cong Wei, Bo Sun, Haoyu Ma, Ji Hou, Felix Juefei-Xu, Zecheng He, Xiaoliang Dai, Luxin Zhang, Kunpeng Li, Tingbo Hou, Animesh Sinha, Peter Vajda, Wenhu Chen
Main Conference Track
ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding Muye Huang, Lingling Zhang, Jie Ma, Han Lai, Fangzhi Xu, Yifei Li, Wenjun Wu, Yaqiang Wu, Jun Liu
Main Conference Track
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Bowen Song, Zecheng Zhang, Zhaoxu Luo, Jason Hu, Wei Yuan, Jing Jia, Zhengxu Tang, Guanyang Wang, Liyue Shen
Main Conference Track
Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs Xingang Guo, Yaxin Li, XiangYi Kong, YILAN JIANG, Xiayu Zhao, Zhihua Gong, Yufan Zhang, Daixuan Li, Tianle Sang, Beixiao Zhu, Gregory Jun, Yingbing Huang, Yiqi Liu, Yuqi Xue, Rahul Dev Kundu, Qi Lim, Yizhou Zhao, Luke Granger, Mohamed Younis, Darioush Keivan, Nippun Sabharwal, Shreyanka Sinha, Prakhar Agarwal, Kojo Vandyck, Hanlin Mai, Zichen Wang, Aditya Venkatesh, Ayush Barik, Jiankun Yang, Chongying Yue, Jingjie He, Libin Wang, Licheng Xu, Hao Chen, Jinwen Wang, Liujun Xu, Rushabh Shetty, Ziheng Guo, Dahui Song, Manvi Jha, Weijie Liang, Weiman Yan, Bryan Zhang, Sahil Bhandary Karnoor, Jialiang Zhang, Rutva Pandya, Xinyi Gong, Mithesh Ganesh, Feize Shi, Ruiling Xu, Yifan Zhang, Yanfeng Ouyang, Lianhui Qin, Elyse Rosenbaum, Corey Snyder, Peter Seiler, Geir Dullerud, Xiaojia Zhang, Zuofu Cheng, Pavan Kumar Hanumolu, Jian Huang, Mayank Kulkarni, Mahdi Namazifar, Huan Zhang, Bin Hu
Datasets and Benchmarks Track
Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets Yuandong Tian
Main Conference Track
Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning Frank Wan, Xu Cheng, Run Liu, Wenke Huang, Zitong Shi, Pinyi Jin, Guibin Zhang, Bo Du, Mang Ye
Main Conference Track
Generative Model Inversion Through the Lens of the Manifold Hypothesis Xiong Peng, Bo Han, Fengfei Yu, Tongliang Liu, Feng Liu, Mingyuan Zhou
Main Conference Track
SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG Xiaonan Si, Meilin Zhu, Simeng Qin, Lijia Yu, Lijun Zhang, Shuaitong Liu, Xinfeng Li, Ranjie Duan, Yang Liu, Xiaojun Jia
Main Conference Track
LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis Berkay Döner, Thorir Mar Ingolfsson, Luca Benini, Yawei Li
Main Conference Track
Retro-R1: LLM-based Agentic Retrosynthesis Wei Liu, Jiangtao Feng, Hongli Yu, Yuxuan Song, Yuqiang Li, Shufei Zhang, LEI BAI, Wei-Ying Ma, Hao Zhou
Main Conference Track
Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems Sayantan Choudhury, Nicolas Loizou
Main Conference Track
Do different prompting methods yield a common task representation in language models? Guy Davidson, Todd Gureckis, Brenden M Lake, Adina Williams
Main Conference Track
Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach Changyeol Lee, Yongho Shin, Hyung-Chan An
Main Conference Track
Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions Shubo Li, Yizhe Ding, Lingzhou Xue, Runze Li
Main Conference Track
EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment Naga Sai Abhiram Kusumba, Maitreya Patel, Kyle Min, Changhoon Kim, Chitta Baral, Yezhou Yang
Main Conference Track
CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model Dapeng Zhang, Fei Shen, Rui Zhao, Yinda Chen, Peng Zhi, Chenyang Li, Rui Zhou, Qingguo Zhou
Main Conference Track
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception Runjian Chen, Hyoungseob Park, Bo Zhang, Wenqi Shao, Ping Luo, Alex Wong
Main Conference Track
Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement Linyang He, Tianjun Zhong, Richard Antonello, Gavin Mischler, Micah Goldblum, Nima Mesgarani
Main Conference Track
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation Zhe Kong, Feng Gao, Yong Zhang, Zhuoliang Kang, Xiaoming Wei, Xunliang Cai, Guanying Chen, Wenhan Luo
Main Conference Track
COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation Uliana Parkina, Maxim Rakhuba
Main Conference Track
Extrapolation by Association: Length Generalization Transfer In Transformers Ziyang Cai, Nayoung Lee, Avi Schwarzschild, Samet Oymak, Dimitris Papailiopoulos
Main Conference Track
RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness Fanhu Zeng, Haiyang Guo, Fei Zhu, Li Shen, Hao Tang
Main Conference Track
Dynamic Gaussian Splatting from Defocused and Motion-blurred Monocular Videos Xuankai Zhang, Junjin Xiao, Qing Zhang
Main Conference Track
Efficient Verified Unlearning For Distillation Yijun Quan, Zushu Li, Giovanni Montana
Main Conference Track
MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation Chu Xu, Xinke Jiang, Rihong Qiu, Jiaran Gao, Junfeng Zhao
Main Conference Track
StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization Yu Wang, Yang Li, Junchi Yan, Yi Chang
Main Conference Track
FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski
Main Conference Track
Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning Fei Ye, Yulong Zhao, Qihe Liu, Junlin Chen, Adrian G. Bors, Jingling sun, Rongyao Hu, shijie zhou
Main Conference Track
Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling Bryan Wong, Jongwoo Kim, Huazhu Fu, Mun Yi
Main Conference Track
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool Jiangtong Li, Dongyi Liu, Kun Zhu, Dawei Cheng, changjun jiang
Main Conference Track
Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers Johanna Vielhaben, Dilyara Bareeva, Jim Berend, Wojciech Samek, Nils Strodthoff
Main Conference Track
BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces Matthew Landers, Taylor W Killian, Hugo Barnes, Tom Hartvigsen, Afsaneh Doryab
Main Conference Track
DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization Jiacai Liu, Chaojie Wang, Chris Liu, Liang Zeng, Rui Yan, Yiwen Sun, Yang Liu
Main Conference Track
Representational Difference Explanations Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
Main Conference Track
The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective Haixiang Lan, Luofeng Liao, Adam N. Elmachtoub, Christian Kroer, Henry Lam, Haofeng Zhang
Main Conference Track
Fast Inference for Augmented Large Language Models Rana Shahout, Cong Liang, Shiji Xin, Qianru Lao, Yong Cui, Minlan Yu, Michael Mitzenmacher
Main Conference Track
DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control Oleksii Furman, Ulvi Movsum-zada, Patryk Marszałek, Maciej Zieba, Marek Śmieja
Main Conference Track
Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments Shitong Xu, Yiyuan Yang, Niki Trigoni, Andrew Markham
Main Conference Track
Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Shuhan Xu, Bo Du, Jialie Shen, Dacheng Tao
Main Conference Track
Seg4Diff: Unveiling Open-Vocabulary Semantic Segmentation in Text-to-Image Diffusion Transformers Chaehyun Kim, Heeseong Shin, Eunbeen Hong, Heeji Yoon, Anurag Arnab, Paul Hongsuck Seo, Sunghwan Hong, Seungryong Kim
Main Conference Track
Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks Giyeong Oh, Woohyun Cho, Siyeol Kim, Suhwan Choi, Youngjae Yu
Main Conference Track
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions Tobias Schmidt, Steffen Schneider, Matthias Bethge
Main Conference Track
Watermarking Autoregressive Image Generation Nikola Jovanović, Ismail Labiad, Tomáš Souček, Martin Vechev, Pierre Fernandez
Main Conference Track
CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation Marc Lafon, Gustavo Vargas Hakim, Clément Rambour, Christian Desrosiers, Nicolas THOME
Main Conference Track
Probabilistic Stability Guarantees for Feature Attributions Helen Jin, Anton Xue, Weiqiu You, Surbhi Goel, Eric Wong
Main Conference Track
Fréchet Geodesic Boosting Yidong Zhou, Su Iao, Hans-Georg Müller
Main Conference Track
msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML Zhaolan Huang, Emmanuel Baccelli
Main Conference Track
Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models Wen-Tse Chen, Jiayu Chen, Fahim Tajwar, Hao Zhu, Xintong Duan, Ruslan Salakhutdinov, Jeff G. Schneider
Main Conference Track
Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering Yangfu Li, Hongjian Zhan, Tianyi Chen, Qi Liu, Yu-Jie Xiong, Yue Lu
Main Conference Track
Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation Nguyen Do, Bach Ngo, Youval Kashuv, Canh Pham, Hanghang Tong, My T. Thai
Main Conference Track
WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch Zimu Lu, Yunqiao Yang, Houxing Ren, Haotian Hou, Han Xiao, Ke Wang, Weikang Shi, Aojun Zhou, Mingjie Zhan, Hongsheng Li
Datasets and Benchmarks Track
Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization Zhenhao Zhong, Zhibin Gu, Pengpeng Yang, Yaqian zhou, Ruiqiang Guo
Main Conference Track
Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training Sameera Ramasinghe, Thalaiyasingam Ajanthan, Hadi Mohaghegh Dolatabadi, Gil Avraham, Violetta Shevchenko, Yan Zuo, Chamin P Hewa Koneputugodage, Alexander Long
Main Conference Track
Puppeteer: Rig and Animate Your 3D Models Chaoyue Song, Xiu Li, Fan Yang, Zhongcong XU, Jiacheng Wei, Fayao Liu, Jiashi Feng, Guosheng Lin, Jianfeng Zhang
Main Conference Track
Accelerating Optimization via Differentiable Stopping Time Zhonglin Xie, Yiman Fong, Haoran Yuan, Zaiwen Wen
Main Conference Track
Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy Rob Romijnders, Antti Koskela
Main Conference Track
Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning Bastien Dubail, Stefan Stojanovic, Alexandre Proutiere
Main Conference Track
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs Landon Butler, Abhineet Agarwal, Justin Kang, Yigit Efe Erginbas, Bin Yu, Kannan Ramchandran
Main Conference Track
Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing Yisong Xiao, Aishan Liu, Siyuan Liang, Zonghao Ying, Xianglong Liu, Dacheng Tao
Main Conference Track
Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents Zhizhen Zhang, Lei Zhu, Zhen Fang, Zi Huang, Yadan Luo
Main Conference Track
Flat Channels to Infinity in Neural Loss Landscapes Flavio Martinelli, Alexander van Meegen, Berfin Simsek, Wulfram Gerstner, Johanni Brea
Main Conference Track
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring Federico Di Gennaro, Khaled Eldowa, Nicolò Cesa-Bianchi
Main Conference Track
Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering Clément Yvernes, Emilie Devijver, Adèle Ribeiro, Marianne Clausel, Eric Gaussier
Main Conference Track
Accelerating data-driven algorithm selection for combinatorial partitioning problems Vaggos Chatziafratis, Ishani Karmarkar, Yingxi Li, Ellen Vitercik
Main Conference Track
Position: Benchmarking is Broken - Don't Let AI be Its Own Judge Error
Position Paper Track
Unlocking Dataset Distillation with Diffusion Models Brian Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel
Main Conference Track
Learning long range dependencies through time reversal symmetry breaking Guillaume Pourcel, Maxence Ernoult
Main Conference Track
Value Diffusion Reinforcement Learning Xiaoliang Hu, Fuyun Wang, Tong Zhang, Zhen Cui
Main Conference Track
Semantic Representation Attack against Aligned Large Language Models Jiawei Lian, Jianhong Pan, Lefan Wang, Yi Wang, Shaohui Mei, Lap-Pui Chau
Main Conference Track
Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization Frank Röder, Jan Benad, Manfred Eppe, Pradeep Banerjee
Main Conference Track
Space Group Equivariant Crystal Diffusion Rees Chang, Angela Pak, Alex Guerra, Ni Zhan, Nick Richardson, Elif Ertekin, Ryan P. Adams
Main Conference Track
GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability Burouj Armgaan, Eshan Jain, Harsh Pandey, Mahesh Chandran, Sayan Ranu
Main Conference Track
Non-Line-of-Sight 3D Reconstruction with Radar Haowen Lai, Zitong Lan, Mingmin Zhao
Main Conference Track
Neural Combinatorial Optimization for Time-Dependent Traveling Salesman Problem Ruixiao Yang, Chuchu Fan
Main Conference Track
No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes Jasmine Bayrooti, Sattar Vakili, Amanda Prorok, Carl Henrik Ek
Main Conference Track
AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection Saleh Momeni, Changnan Xiao, Bing Liu
Main Conference Track
Stratify or Die: Rethinking Data Splits in Image Segmentation Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller, Jindong Li, Dario Zanca, Bjoern Eskofier, Heike Leutheuser
Main Conference Track
Activation-Informed Merging of Large Language Models Amin Heyrani Nobari, Kaveh Alimohammadi, Ali ArjomandBigdeli, Akash Srivastava, Faez Ahmed, Navid Azizan
Main Conference Track
UniViT: Unifying Image and Video Understanding in One Vision Encoder feilong tang, xiangan, Haolin Yang, Yin Xie, Kaicheng Yang, Ming Hu, Zheng Cheng, Xingyu Zhou, Zimin Ran, Imran Razzak, Ziyong Feng, Behzad Bozorgtabar, Jiankang Deng, Zongyuan Ge
Main Conference Track
DyMU: Dynamic Merging and Virtual Unmerging for Efficient Variable-Length VLMs Zhenhailong Wang, Senthil Purushwalkam, Caiming Xiong, Silvio Savarese, Heng Ji, Ran Xu
Main Conference Track
Multi-Class Support Vector Machine with Differential Privacy Jinseong Park, Yujin Choi, Jaewook Lee
Main Conference Track
Bridging Crypto with ML-based Solvers: the SAT Formulation and Benchmarks Xinhao Zheng, Xinhao Song, Bolin Qiu, Yang Li, Zhongteng Gui, Junchi Yan
Datasets and Benchmarks Track
Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning Wei Duan, Jie Lu, Junyu Xuan
Main Conference Track
Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization Yang Qiu, Yixiong Zou, Jun Wang, Wei Liu, Xiangyu Fu, Ruixuan Li
Main Conference Track
Best-of-N Jailbreaking John Hughes, Sara Price, Aengus Lynch, Rylan Schaeffer, Fazl Barez, Arushi Somani, Sanmi Koyejo, Henry Sleight, Erik Jones, Ethan Perez, Mrinank Sharma
Main Conference Track
Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation Byunghyun Kim, Minyoung Bae, Jae-Gil Lee
Main Conference Track
Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses Han Bao, Shinsaku Sakaue, Yuki Takezawa
Main Conference Track
Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Jianfeng Qu, Renchu Guan
Main Conference Track
EAG3R: Event-Augmented 3D Geometry Estimation for Dynamic and Extreme-Lighting Scenes Xiaoshan Wu, Yifei Yu, Xiaoyang Lyu, Yihua Huang, Bo Wang, Baoheng Zhang, Zhongrui Wang, Xiaojuan Qi
Main Conference Track
ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World Weixiang Yan, Haitian Liu, Tengxiao Wu, Qian Chen, Wen Wang, Haoyuan Chai, Jiayi Wang
Datasets and Benchmarks Track
Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models Yingqing Guo, Yukang Yang, Hui Yuan, Mengdi Wang
Main Conference Track
A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers Zhiyuan Wang, Jinwoo Go, Byung-Jun Yoon, Nathan Urban, Xiaoning Qian
Main Conference Track
NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge Hanyu Zhu, Lance Fiondella, Jiawei Yuan, Kai Zeng, Long Jiao
Main Conference Track
A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees Yuhao Zhou, Jintao Xu, Bingrui Li, Chenglong Bao, Chao Ding, Jun Zhu
Main Conference Track
WEDGE: Synthesizing Performance Constraints for Evaluating and Improving Code Efficiency Jun Yang, Cheng-Chi Wang, Bogdan "Bo" Stoica, Kexin Pei
Main Conference Track
HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning Chuhao Zhou, Jianfei Yang
Main Conference Track
BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models Dingqiang Ye, Chao Fan, Zhanbo Huang, Chengwen Luo, Jianqiang Li, Shiqi Yu, Xiaoming Liu
Main Conference Track
Risk-aware Direct Preference Optimization under Nested Risk Measure Lijun Zhang, Lin Li, Yajie Qi, Huizhong Song, Yaodong Yang, Jun Wang, Wei Wei
Main Conference Track
UniFoil: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows Error
Datasets and Benchmarks Track
GeoDynamics: A Geometric State‑Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds Tingting Dan, Jiaqi Ding, Guorong Wu
Main Conference Track
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Mingjia Shi, Shaojie Tang, Jing Yuan
Main Conference Track
Embodied Crowd Counting Runling Long, Yunlong Wang, Jia Wan, Xiang Deng, Xinting Zhu, Weili Guan, Antoni B. Chan, Liqiang Nie
Main Conference Track
Hierarchical Implicit Neural Emulators Ruoxi Jiang, Xiao Zhang, Karan Jakhar, Peter Y. Lu, Pedram Hassanzadeh, Michael Maire, Rebecca Willett
Main Conference Track
T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks Jiayang Liu, Siyuan Liang, Shiqian Zhao, Rong-Cheng Tu, Wenbo Zhou, Aishan Liu, Dacheng Tao, Siew Kei Lam
Main Conference Track
Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization Huimin Han, Shaolin Ji
Main Conference Track
Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training Qinglun Li, Yingqi Liu, Miao Zhang, Xiaochun Cao, Quanjun Yin, Li Shen
Main Conference Track
On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization wenlong deng, Yi Ren, Muchen Li, Danica J. Sutherland, Xiaoxiao Li, Christos Thrampoulidis
Main Conference Track
Polyline Path Masked Attention for Vision Transformer Zhongchen Zhao, Chaodong Xiao, Hui LIN, Qi Xie, Lei Zhang, Deyu Meng
Main Conference Track
Dataset Distillation of 3D Point Clouds via Distribution Matching Jae-Young Yim, Dongwook Kim, Jae-Young Sim
Main Conference Track
Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning Jiyuan Shi, Xinzhe Liu, Dewei Wang, ouyang lu, Sören Schwertfeger, Chi Zhang, Fuchun Sun, Chenjia Bai, Xuelong Li
Main Conference Track
Prediction-Powered Causal Inferences Riccardo Cadei, Ilker Demirel, Piersilvio De Bartolomeis, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid, Francesco Locatello
Main Conference Track
Two‑Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion Haoyu Li, Xiangru Zhong, Bin Hu, Huan Zhang
Main Conference Track
Atom of Thoughts for Markov LLM Test-Time Scaling Fengwei Teng, Quan Shi, Zhaoyang Yu, Jiayi Zhang, Yuyu Luo, Chenglin Wu, Zhijiang Guo
Main Conference Track
Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy Sreevardhan Sirigiri, Christian Hughes, Ian Abraham, Fabio Ramos
Main Conference Track
Self-Adapting Language Models Adam Zweiger, Jyo Pari, Han Guo, Yoon Kim, Pulkit Agrawal
Main Conference Track
Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models Chenrui Cao, Liangcheng Song, Zenan Li, Xinyi Le, Xian Zhang, HUI XUE, Fan Yang
Main Conference Track
Practical and Effective Code Watermarking for Large Language Models Zhimeng Guo, Minhao Cheng
Main Conference Track
Variational Learning Finds Flatter Solutions at the Edge of Stability Avrajit Ghosh, Bai Cong, Rio Yokota, Saiprasad Ravishankar, Rongrong Wang, Molei Tao, Mohammad Emtiyaz Khan, Thomas Möllenhoff
Main Conference Track
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models zhentao he, Can Zhang, Ziheng Wu, Zhenghao Chen, Yufei Zhan, Yifan Li, Zhao Zhang, Xian Wang, Minghui Qiu
Main Conference Track
Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction Yisen Gao, Xingcheng Fu, Qingyun Sun, Jianxin Li, Xianxian LI
Main Conference Track
One Sample is Enough to Make Conformal Prediction Robust Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
Main Conference Track
Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs Yunqi Hong, Sohyun An, Andrew Bai, Neil Lin, Cho-Jui Hsieh
Main Conference Track
EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code Error
Datasets and Benchmarks Track
SoMi-ToM: Evaluating Multi-Perspective Theory of Mind in Embodied Social Interactions Xianzhe Fan, Xuhui Zhou, Chuanyang Jin, Kolby Nottingham, Hao Zhu, Maarten Sap
Datasets and Benchmarks Track
V-CECE: Visual Counterfactual Explanations via Conceptual Edits Nikolaos Spanos, Maria Lymperaiou, Giorgos Filandrianos, Konstantinos Thomas, Athanasios Voulodimos, Giorgos Stamou
Main Conference Track
SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting Mengjiao Ma, Qi Ma, Yue Li, Jiahuan Cheng, Runyi Yang, Bin Ren, Nikola Popovic, Mingqiang Wei, Nicu Sebe, Ender Konukoglu, Luc V Gool, Theo Gevers, Martin R. Oswald, Danda Pani Paudel
Datasets and Benchmarks Track
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo, Alessio Gravina, Benjamin Gutteridge, Federico Barbero, Claudio Gallicchio, Xiaowen Dong, Michael Bronstein, Pierre Vandergheynst
Main Conference Track
Advancing Interpretability of CLIP Representations with Concept Surrogate Model Nhat Hoang-Xuan, Xiyuan Wei, Wanli Xing, Tianbao Yang, My T. Thai
Main Conference Track
PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries Error
Datasets and Benchmarks Track
MedChain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, Yihang SU, Kao-Jung Chang, Haoliang Li, Linlin Shen, Michael R Lyu, Wenting Chen
Datasets and Benchmarks Track
Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data Yunhao Tang, Sid Wang, Lovish Madaan, Remi Munos
Main Conference Track
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies Jing Wang, Weiting Peng, Jing Tang, Zeyu Gong, Xihua Wang, Bo Tao, Li cheng
Main Conference Track
Temporal In‑Context Fine‑Tuning with Temporal Reasoning for Versatile Control of Video Diffusion Models Kinam Kim, Junha Hyung, Jaegul Choo
Main Conference Track
MedSG-Bench: A Benchmark for Medical Image Sequences Grounding Jingkun Yue, Siqi Zhang, Zinan Jia, Huihuan Xu, Zongbo Han, Xiaohong Liu, Guangyu Wang
Datasets and Benchmarks Track
Differentiable Structure Learning and Causal Discovery for General Binary Data Chang Deng, Bryon Aragam
Main Conference Track
Multi-step Visual Reasoning with Visual Tokens Scaling and Verification Tianyi Bai, Zengjie Hu, Fupeng Sun, Qiu Jiantao, Yizhen Jiang, Guangxin He, Bohan Zeng, Conghui He, Binhang Yuan, Wentao Zhang
Main Conference Track
Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees Jiawei Sun, Shuai Zhang, Hongkang Li, Meng Wang
Main Conference Track
Ask a Strong LLM Judge when Your Reward Model is Uncertain Zhenghao Xu, Qin Lu, Qingru Zhang, Liang Qiu, Ilgee Hong, Changlong Yu, Wenlin Yao, Yao Liu, Haoming Jiang, Lihong Li, Hyokun Yun, Tuo Zhao
Main Conference Track
1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering Yuheng Yuan, Qiuhong Shen, Xingyi Yang, Xinchao Wang
Main Conference Track
The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models Alessandro Serra, Francesco Ortu, Emanuele Panizon, Lucrezia Valeriani, Lorenzo Basile, Alessio Ansuini, Diego Doimo, Alberto Cazzaniga
Main Conference Track
Let a Neural Network be Your Invariant Mirco Giacobbe, Daniel Kroening, Abhinandan Pal, Michael Tautschnig
Main Conference Track
Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation Mehrdad Noori, David OSOWIECHI, Gustavo Vargas Hakim, Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Farzad Beizaee, Ismail Ayed, Christian Desrosiers
Main Conference Track
AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts Denizhan Kara, Tomoyoshi Kimura, Jinyang Li, Bowen He, Yizhuo Chen, Yigong Hu, Hongjue Zhao, Shengzhong Liu, Tarek Abdelzaher
Main Conference Track
MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query Wei Chow, Yuan Gao, Linfeng Li, Xian Wang, Qi Xu, Hang Song, Lingdong Kong, Ran Zhou, Yi Zeng, Yidong Cai, Botian Jiang, Shilin Xu, Jiajunzhang, Minghui Qiu, Xiangtai Li, Tianshu Yang, Siliang Tang, Juncheng Li
Main Conference Track
Seeking and Updating with Live Visual Knowledge Error
Datasets and Benchmarks Track
Latent Retrieval Augmented Generation of Cross-Domain Protein Binders Zishen Zhang, Xiangzhe Kong, Wenbing Huang, Yang Liu
Main Conference Track
ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection Haowei Zhu, Tianxiang Pan, Rui Qin, Jun-Hai Yong, Bin Wang
Main Conference Track
DUET: Dual-Perspective Pseudo Labeling and Uncertainty-aware Exploration & Exploitation Training for Source-Free Domain Adaptation JaeYun Lee, Jae Hyeon Park, Gyoomin Lee, Bogyeong Kim, Min Hee Cha, Hyeok Nam, Joo Jeon, Hyunse Lee, Sung In Cho
Main Conference Track
StegoZip: Enhancing Linguistic Steganography Payload in Practice with Large Language Models Jun Jiang, Zijin Yang, Weiming Zhang, Nenghai Yu, Kejiang Chen
Main Conference Track
PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning Yizhen Zhang, Yang Ding, Shuoshuo Zhang, Xinchen Zhang, Haoling Li, Zhong-Zhi Li, Peijie Wang, Jie Wu, Lei Ji, Yeyun Gong, yelong shen, Yujiu Yang
Main Conference Track
IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs Zhaoqun Li, Beishui Liao, Qiwei Ye
Main Conference Track
Tackling Biased Evaluators in Dueling Bandits Ming Tang, Yuxuan Zhou, Chao Huang
Main Conference Track
StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Lingjuan Lyu
Main Conference Track
Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Sepp Hochreiter
Main Conference Track
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints Hyungki Im, Wyame Benslimane, Paul Grigas
Main Conference Track
Towards Principled Unsupervised Multi-Agent Reinforcement Learning Riccardo Zamboni, Mirco Mutti, Marcello Restelli
Main Conference Track
UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models Qizhou Chen, Dakan Wang, Taolin Zhang, Zaoming Yan, Chengsong You, Chengyu Wang, Xiaofeng He
Datasets and Benchmarks Track
Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models Hai Yan, Haijian Ma, Xiaowen Cai, Daizong Liu, Zenghui Yuan, Xiaoye Qu, Jianfeng Dong, Runwei Guan, Xiang Fang, Hongyang He, Yulai Xie, Pan Zhou
Main Conference Track
MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning Sizhe Tang, Jiayu Chen, Tian Lan
Main Conference Track
Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer Junjie Chen, Zeyu Luo, Zezheng Liu, Wenhui Jiang, Li Niu, Yuming Fang
Main Conference Track
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction Chaoyou Fu, Haojia Lin, Xiong Wang, yifan zhang, Yunhang Shen, Xiaoyu Liu, Haoyu Cao, Zuwei Long, Heting Gao, Ke Li, Long MA, Xiawu Zheng, Rongrong Ji, Xing Sun, Caifeng Shan, Ran He
Main Conference Track
Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization Sebastian Kassing, Simon Weissmann, Leif Döring
Main Conference Track
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference Frank Shih, Zhenghao Jiang, Faming Liang
Main Conference Track
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation Ting Wei, Biao Mei, Junliang Lyu, Renquan Zhang, Feng Zhou, Yifan Sun
Main Conference Track
Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning Sanghyun Ahn, Wonje Choi, Junyong Lee, Jinwoo Park, Honguk Woo
Main Conference Track
Mean Flows for One-step Generative Modeling Zhengyang Geng, Mingyang Deng, Xingjian Bai, Zico Kolter, Kaiming He
Main Conference Track
Infrequent Exploration in Linear Bandits Harin Lee, Min-hwan Oh
Main Conference Track
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Bojia Zi, Weixuan Peng, Xianbiao Qi, Jianan Wang, Shihao Zhao, Rong Xiao, Kam-Fai Wong
Main Conference Track
Fast exact recovery of noisy matrix from few entries: the infinity norm approach BaoLinh Tran, Van Vu
Main Conference Track
Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Shayan Shekarforoush, David B. Lindell, Marcus A Brubaker, David J Fleet
Main Conference Track
CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning Seewon Choi, Alaia Solko-Breslin, Rajeev Alur, Eric Wong
Main Conference Track
AgMMU: A Comprehensive Agricultural Multimodal Understanding Benchmark Error
Datasets and Benchmarks Track
Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions Ye Zhu, Duo Xu, Zhiwei Deng, Jonathan Tan, Olga Russakovsky
Main Conference Track
Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning Idan Attias, Steve Hanneke, Arvind Ramaswami
Main Conference Track
Meta-Learning Objectives for Preference Optimization Carlo Alfano, Silvia Sapora, Jakob Foerster, Patrick Rebeschini, Yee Whye Teh
Main Conference Track
Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games Tongyang Li, Xinzhao Wang, Yexin Zhang
Main Conference Track
AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking Xiangqi Wang, Yue Huang, Yanbo Wang, Xiaonan Luo, Kehan Guo, Yujun Zhou, Xiangliang Zhang
Main Conference Track
Learning in Compact Spaces with Approximately Normalized Transformer Jörg Franke, Urs Spiegelhalter, Marianna Nezhurina, Jenia Jitsev, Frank Hutter, Michael Hefenbrock
Main Conference Track
StreamForest: Efficient Online Video Understanding with Persistent Event Memory Xiangyu Zeng, Kefan Qiu, Qingyu Zhang, Xinhao Li, Jing Wang, Jiaxin Li, Ziang Yan, Kun Tian, Meng Tian, Xinhai Zhao, Yi Wang, Limin Wang
Main Conference Track
No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models Fan Li, Xuan Wang, Xuanbin Wang, Zhaoxiang Zhang, Yuelei Xu
Main Conference Track
LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups Masih Aminbeidokhti, Subhankar Roy, Eric Granger, Elisa Ricci, Marco Pedersoli
Main Conference Track
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Natalie Maus, Kyurae Kim, Yimeng Zeng, Haydn Jones, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez, Jacob Gardner
Main Conference Track
Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs Xander Davies, Eric Winsor, Alexandra Souly, Tomek Korbak, Robert Kirk, Christian Schroeder de Witt, Yarin Gal
Main Conference Track
From Sequence to Structure: Uncovering Substructure Reasoning in Transformers Xinnan Dai, Kai Yang, Jay Revolinsky, Kai Guo, Aoran Wang, Bohang Zhang, Jiliang Tang
Main Conference Track
Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning Lei Wang, Jieming Bian, Letian Zhang, Jie Xu
Main Conference Track
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding Zongxia Li, Xiyang Wu, Guangyao Shi, Yubin Qin, Hongyang Du, Tianyi Zhou, Dinesh Manocha, Jordan Boyd-Graber
Main Conference Track
Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning Kai Hu, Zhang Yu, Yuan Zhang, Zhineng Chen, Xieping Gao
Main Conference Track
Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics Zhiyang Xun, Shivam Gupta, ecprice
Main Conference Track
Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models Haohan Chi, Huan-ang Gao, Ziming Liu, Jianing Liu, Chenyu Liu, Jinwei Li, Kaisen Yang, Yangcheng Yu, Zeda Wang, Wenyi Li, Leichen Wang, Xingtao HU, HAO SUN, Hang Zhao, Hao Zhao
Datasets and Benchmarks Track
MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining Zhixun Chen, Ping Guo, Wenhan Han, Yifan Zhang, binbin liu, Haobin Lin, Fengze Liu, Yan Zhao, Bingni Zhang, Taifeng Wang, Yin Zheng, Trevor Cohn, Meng Fang
Main Conference Track
Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models Fenil Doshi, Thomas Fel, Talia Konkle, George Alvarez
Main Conference Track
TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang
Main Conference Track
TGA: True-to-Geometry Avatar Dynamic Reconstruction Bo Guo, Sijia Wen, Ziwei Wang, Yifan Zhao
Main Conference Track
Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment Youjia Zhang, Youngeun Kim, Young-Geun Choi, Hongyeob Kim, Huiling Liu, Sungeun Hong
Main Conference Track
Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting Yiming Wang, Lucy Chai, Xuan Luo, Michael Niemeyer, Manuel Lagunas, Stephen Lombardi, Siyu Tang, Tiancheng Sun
Main Conference Track
MUSTAFAR: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference Donghyeon Joo, Helya Hosseini, Ramyad Hadidi, Bahar Asgari
Main Conference Track
SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation Zekun Qi, Wenyao Zhang, Yufei Ding, Runpei Dong, XinQiang Yu, Jingwen Li, Lingyun Xu, Baoyu Li, Xialin He, Guofan Fan, Jiazhao Zhang, Jiawei He, Jiayuan Gu, Xin Jin, Kaisheng Ma, Zhizheng Zhang, He Wang, Li Yi
Main Conference Track
Strategic Cost Selection in Participatory Budgeting Piotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Piotr Skowron, Stanisław Szufa, Mateusz Szwagierczak
Main Conference Track
Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect Tom Kouwenhoven, Kiana Shahrasbi, Tessa Verhoef
Main Conference Track
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Rebecca Willett, Henry Hoffmann
Main Conference Track
Learning Gradient Boosted Decision Trees with Algorithmic Recourse Kentaro Kanamori, Ken Kobayashi, Takuya Takagi
Main Conference Track
Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning Yuanyao Chen, Rongsheng Chen, Fu Luo, Zhenkun Wang
Main Conference Track
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis Dong Yang, YIYI CAI, Yuki Saito, Lixu Wang, Hiroshi Saruwatari
Main Conference Track
Transformers are almost optimal metalearners for linear classification Roey Magen, Gal Vardi
Main Conference Track
Leveraging Conditional Dependence for Efficient World Model Denoising Shaowei Zhang, Jiahan Cao, Dian Cheng, Xunlan Zhou, Shenghua Wan, Le Gan, De-Chuan Zhan
Main Conference Track
SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios Lingwei Dang, Ruizhi Shao, Hongwen Zhang, Wei MIN, Yebin Liu, Qingyao Wu
Main Conference Track
Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts James Chapman, Kedar Karhadkar, Guido F. Montufar
Main Conference Track
MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness Yunlong Tang, Pinxin Liu, Mingqian Feng, Zhangyun Tan, Rui Mao, Chao Huang, Jing Bi, Yunzhong Xiao, Susan Liang, Hang Hua, Ali Vosoughi, Luchuan Song, Zeliang Zhang, Chenliang Xu
Datasets and Benchmarks Track
GRIP: A Graph-Based Reasoning Instruction Producer Jiankang Wang, Jianjun Xu, Xiaorui Wang, Yuxin Wang, Mengting Xing, Shancheng Fang, Hongtao Xie
Main Conference Track
The Adaptive Complexity of Minimizing Relative Fisher Information Huanjian Zhou, Masashi Sugiyama
Main Conference Track
When Models Don’t Collapse: On the Consistency of Iterative MLE Daniel Barzilai, Ohad Shamir
Main Conference Track
Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability Jiani Liu, Zhiyuan Wang, Zeliang Zhang, Chao Huang, Susan Liang, Yunlong Tang, Chenliang Xu
Main Conference Track
$\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power Hongyu Shen, Zhizhen Jane Zhao
Main Conference Track
Why Playing Against Diverse and Challenging Opponents Speeds Up Coevolution: A Theoretical Analysis on Combinatorial Games Alistair Benford, Per Kristian Lehre
Main Conference Track
What do you know? Bayesian knowledge inference for navigating agents Matthias Schultheis, Jana-Sophie Schönfeld, Constantin A Rothkopf, Heinz Koeppl
Main Conference Track
ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data Yifeng Jiao, Yuchen Liu, Yu Zhang, Xin Guo, Yushuai Wu, Chen Jiang, Jiyang Li, Hongwei Zhang, LIMEI HAN, Xin Gao, Yuan Qi, Yuan Cheng
Main Conference Track
Reasoning as an Adaptive Defense for Safety Taeyoun Kim, Fahim Tajwar, Aditi Raghunathan, Aviral Kumar
Main Conference Track
PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis Qing Mao, Tianxin Huang, Yu Zhu, Jinqiu Sun, Yanning Zhang, Gim Hee Lee
Main Conference Track
Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity Pengqi Li, Lizhong Ding, Jiarun Fu, Chunhui Zhang, Guoren Wang, Ye Yuan
Main Conference Track
Sound Logical Explanations for Mean Aggregation Graph Neural Networks Matthew Morris, Ian Horrocks
Main Conference Track
MAT-Agent: Adaptive Multi-Agent Training Optimization jusheng zhang, Kaitong Cai, Yijia Fan, Ningyuan Liu, Keze Wang
Main Conference Track
Opinion Maximization in Social Networks by Modifying Internal Opinions Gengyu Wang, Runze Zhang, Zhongzhi Zhang
Main Conference Track
Impact of Layer Norm on Memorization and Generalization in Transformers Rishi Singhal, Jung-Eun Kim
Main Conference Track
DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation Jingyi Tian, Le Wang, Sanping Zhou, Sen Wang, lijiayi, Gang Hua
Main Conference Track
Stackelberg Learning with Outcome-based Payment Tom Yan, Chicheng Zhang
Main Conference Track
A Provable Approach for End-to-End Safe Reinforcement Learning Akifumi Wachi, Kohei Miyaguchi, Takumi Tanabe, Rei Sato, Youhei Akimoto
Main Conference Track
PID-controlled Langevin Dynamics for Faster Sampling of Generative Models Hongyi Chen, Jianhai Shu, Jingtao Ding, Yong Li, Xiao-Ping (Steven) Zhang
Main Conference Track
Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions 蕾蕾温, Liwei Zheng, Hongda Li, Lijun Sun, Zhihua Wei, Wen Shen
Main Conference Track
Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data Xingyu Ren, Pengwei Liu, Pengkai Wang, Guanyu Chen, Qinxin Wu, Dong Ni
Main Conference Track
Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation Jianyuan Guo, Peike Li, Trevor Cohn
Main Conference Track
One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning Zijian Guo, İlker Işık, H M Sabbir Ahmad, Wenchao Li
Main Conference Track
Towards Reliable LLM-based Robots Planning via Combined Uncertainty Estimation Shiyuan Yin, Chenjia Bai, Zihao Zhang, Junwei Jin, Xinxin Zhang, Chi Zhang, Xuelong Li
Main Conference Track
Toward Relative Positional Encoding in Spiking Transformers Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
Main Conference Track
Agents Robust to Distribution Shifts Learn Causal World Models Even Under Mediation Matteo Ceriscioli, Karthika Mohan
Main Conference Track
Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu
Main Conference Track
Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs Yunfeng Liao, Yangxin Wu, Xiucheng Li
Main Conference Track
IntrinsiX: High-Quality PBR Generation using Image Priors Peter Kocsis, Lukas Höllein, Matthias Niessner
Main Conference Track
Uncertainty-aware Preference Alignment for Diffusion Policies Runqing Miao, Sheng Xu, Runyi Zhao, Wai Kin (Victor) Chan, Guiliang Liu
Main Conference Track
Improved Balanced Classification with Theoretically Grounded Loss Functions Corinna Cortes, Mehryar Mohri, Yutao Zhong
Main Conference Track
Kinaema: a recurrent sequence model for memory and pose in motion Mert Bulent Sariyildiz, Philippe Weinzaepfel, Guillaume Bono, Gianluca Monaci, Christian Wolf
Main Conference Track
Self-diffusion for Solving Inverse Problems Guanxiong Luo, Shoujin Huang
Main Conference Track
MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework Qirui Mi, Mengyue Yang, Xiangning Yu, Zhiyu Zhao, Cheng Deng, Bo An, Haifeng Zhang, Xu Chen, Jun Wang
Main Conference Track
Traversal Verification for Speculative Tree Decoding Yepeng Weng, Qiao Hu, Xujie Chen, Li Liu, Dianwen Mei, Huishi Qiu, Jiang Tian, zhongchao shi
Main Conference Track
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Xiaomin Li, Zhou Yu, Zhiwei Zhang, Xupeng Chen, Ziji Zhang, Yingying Zhuang, Narayanan Sadagopan, Anurag Beniwal
Main Conference Track
Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions Guoji Fu, Wee Sun Lee
Main Conference Track
Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions Dionysis Arvanitakis, Vaidehi Srinivas, Aravindan Vijayaraghavan
Main Conference Track
IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation Zijie Lin, Yang Zhang, Xiaoyan Zhao, Fengbin ZHU, Fuli Feng, Tat-Seng Chua
Main Conference Track
Projective Equivariant Networks via Second-order Fundamental Differential Invariants Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, Lexiang Hu, Zhouchen Lin
Main Conference Track
Zebra-Llama: Towards Extremely Efficient Hybrid Models Mingyu Yang, Mehdi Rezagholizadeh, Guihong Li, Vikram Appia, Emad Barsoum
Main Conference Track
Multimodal LiDAR-Camera Novel View Synthesis with Unified Pose-free Neural Fields Weiyi Xue, Fan Lu, Yunwei Zhu, Zehan Zheng, Sanqing Qu, Jiangtong Li, Ya Wu, Haiyun Wei, Guang Chen
Main Conference Track
Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models Chantal Shaib, Vinith Suriyakumar, Byron Wallace, Marzyeh Ghassemi
Main Conference Track
The Leaderboard Illusion Error
Datasets and Benchmarks Track
CVGL: Causal Learning and Geometric Topology Songsong Ouyang, Yingying Zhu
Main Conference Track
3D Visual Illusion Depth Estimation Chengtang Yao, Zhidan Liu, Jiaxi Zeng, Lidong Yu, Yuwei Wu, Yunde Jia
Main Conference Track
Controlling Thinking Speed in Reasoning Models Zhengkai Lin, Zhihang Fu, Ze Chen, Chao Chen, Liang Xie, Wenxiao Wang, Deng Cai, Zheng Wang, Jieping Ye
Main Conference Track
Rethinking Residual Distribution in Locate-then-Edit Model Editing Xiaopeng Li, Shangwen Wang, Shasha Li, Shezheng Song, Bin Ji, Ma Jun, Jie Yu
Main Conference Track
Graph Diffusion that can Insert and Delete Matteo Ninniri, Marco Podda, Davide Bacciu
Main Conference Track
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation Cécile Rousseau, Tobia Boschi, Giandomenico Cornacchia, Dhaval Salwala, Alessandra Pascale, Juan Moreno
Main Conference Track
YOLOv12: Attention-Centric Real-Time Object Detectors Yunjie Tian, Qixiang Ye, DAVID DOERMANN
Main Conference Track
SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents Wanxin Tian, Shijie Zhang, Kevin Zhang, Xiaowei Chi, Chun-Kai Fan, Junyu Lu, Yulin Luo, Qiang Zhou, Yiming Zhao, Ning Liu, Siyu Lin, Zhiyuan Qin, Xiaozhu Ju, Shanghang Zhang, Jian Tang
Main Conference Track
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution Yuxiang Wei, Olivier Duchenne, Jade Copet, Quentin Carbonneaux, LINGMING ZHANG, Daniel Fried, Gabriel Synnaeve, Rishabh Singh, Sida I. Wang
Main Conference Track
ThinkSound: Chain-of-Thought Reasoning in Multimodal LLMs for Audio Generation and Editing Huadai Liu, Kaicheng Luo, Jialei Wang, Wen Wang, Qian Chen, Zhou Zhao, Wei Xue
Main Conference Track
Panoptic Captioning: An Equivalence Bridge for Image and Text Kun-Yu Lin, Hongjun Wang, Weining Ren, Kai Han
Main Conference Track
Geometric Algorithms for Neural Combinatorial Optimization with Constraints Nikolaos Karalias, Akbar Rafiey, Yifei Xu, Zhishang Luo, Behrooz Tahmasebi, Connie Jiang, Stefanie Jegelka
Main Conference Track
Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability Hoang Son Nguyen, Xiao Fu
Main Conference Track
Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization Xingyu Chen, Bokun Wang, Ming Yang, Qihang Lin, Tianbao Yang
Main Conference Track
What Does It Take to Build a Performant Selective Classifier? Stephan Rabanser, Nicolas Papernot
Main Conference Track
Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks Artur Back de Luca, George Giapitzakis, Kimon Fountoulakis
Main Conference Track
Normalizing Flows are Capable Models for Continuous Control Raj Ghugare, Benjamin Eysenbach
Main Conference Track
IF-Guide: Influence Function-Guided Detoxification of LLMs Zachary Coalson, Juhan Bae, Nicholas Carlini, Sanghyun Hong
Main Conference Track
Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee Chen, Tzu-Heng (Brian) Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott Linderman, Azalia Mirhoseini, Christopher Ré
Main Conference Track
Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet
Main Conference Track
HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios Kunyu Peng, Junchao Huang, Xiangsheng Huang, Di Wen, Junwei Zheng, Yufan Chen, Kailun Yang, Jiamin Wu, Chongqing Hao, Rainer Stiefelhagen
Main Conference Track
VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs Shmuel Berman, Jia Deng
Main Conference Track
Linear Attention for Efficient Bidirectional Sequence Modeling Arshia Afzal, Elias Abad Rocamora, Leyla Candogan, Pol Puigdemont, Francesco Tonin, Yongtao Wu, Mahsa Shoaran, Volkan Cevher
Main Conference Track
Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets Ji Xia, Yizi Zhang, Shuqi Wang, Genevera Allen, Liam Paninski, Cole Hurwitz, Kenneth D. Miller
Main Conference Track
Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision Shilin Zhang, Zican Hu, Wenhao Wu, Xinyi Xie, Jianxiang Tang, Chunlin Chen, Daoyi Dong, Yu Cheng, Zhenhong Sun, Zhi Wang
Main Conference Track
Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination Rakshit S Trivedi, Kartik Sharma, David C. Parkes
Main Conference Track
MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference Haibo Tong, Zhaoyang Wang, Zhaorun Chen, Haonian Ji, Shi Qiu, Siwei Han, Kexin Geng, Zhongkai Xue, Yiyang Zhou, Peng Xia, Mingyu Ding, Rafael Rafailov, Chelsea Finn, Huaxiu Yao
Main Conference Track
Vision‑Language‑Vision Auto‑Encoder: Scalable Knowledge Distillation from Diffusion Models Tiezheng Zhang, Yitong Li, Yu-Cheng Chou, Jieneng Chen, Alan L. Yuille, Chen Wei, Junfei Xiao
Main Conference Track
Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness Lucas Piper, Arlindo L Oliveira, Tiago Marques
Main Conference Track
A Sustainable AI Economy Needs Data Deals That Work for Generators Error
Position Paper Track
Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits Yuzhou Gu, Yanjun Han, Jian Qian
Main Conference Track
SpaceServe: Spatial Multiplexing of Complementary Encoders and Decoders for Multimodal LLMs Zhicheng Li, Shuoming Zhang, Jiacheng Zhao, Siqi Li, Xiyu Shi, Yangyu Zhang, Shuaijiang Li, Donglin Yu, Zheming Yang, YUAN WEN, Huimin Cui
Main Conference Track
Universal Cross-Tokenizer Distillation via Approximate Likelihood Matching Benjamin Minixhofer, Ivan Vulić, Edoardo Maria Ponti
Main Conference Track
A Principled Path to Fitted Distributional Evaluation Sungee Hong, Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
Main Conference Track
Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning Ziheng Cheng, Tianyu Xie, Shiyue Zhang, Cheng Zhang
Main Conference Track
Value-Guided KV Compression for LLMs via Approximated CUR Decomposition Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty
Main Conference Track
Resource-Constrained Federated Continual Learning: What Does Matter? Yichen Li, Yuying Wang, Jiahua Dong, Haozhao Wang, Yining Qi, Rui Zhang, Ruixuan Li
Main Conference Track
Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization Cong Wang, Zexuan Deng, Zhiwei Jiang, Yafeng Yin, Fei Shen, Zifeng Cheng, Shiping Ge, Shiwei Gan, Qing Gu
Main Conference Track
Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning Jiashun Liu, Zihao Wu, Johan Obando Ceron, Pablo Samuel Castro, Aaron C. Courville, Ling Pan
Main Conference Track
Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling Jinhee Kim, Jae Jun An, Kang Eun Jeon, Jong Hwan Ko
Main Conference Track
On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi
Main Conference Track
Uncertainty-Sensitive Privileged Learning Fan-Ming Luo, Lei Yuan, Yang Yu
Main Conference Track
Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation Yao Teng, Fu-Yun Wang, Xian Liu, Zhekai Chen, Han Shi, Yu Wang, Zhenguo Li, Weiyang Liu, Difan Zou, Xihui Liu
Main Conference Track
Heterogeneous Adversarial Play in Interactive Environments Manjie Xu, Xinyi Yang, Jiayu Zhan, Wei Liang, Chi Zhang, Yixin Zhu
Main Conference Track
Conditional Distribution Compression via the Kernel Conditional Mean Embedding Dominic Broadbent, Nick Whiteley, Robert Allison, Tom Lovett
Main Conference Track
Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation Yiyao Ma, Kai Chen, Kexin ZHENG, DOU QI
Main Conference Track
TRACE: Contrastive learning for multi-trial time series data in neuroscience Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm, Yongrong Qiu, Na Zhou, Dmitry Kobak, Andreas S. Tolias, Fabian H. Sinz, Jacob Reimer, Katrin Franke, Sebastian Damrich, Philipp Berens
Main Conference Track
REMI: Reconstructing Episodic Memory During Internally Driven Path Planning Zhaoze Wang, Genela Morris, Dori Derdikman, Pratik Chaudhari, Vijay Balasubramanian
Main Conference Track
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation Jiyuan Wang, Chunyu Lin, cheng guan, Lang Nie, Jing He, Haodong Li, Kang Liao, Yao Zhao
Main Conference Track
Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought Hanlin Zhu, Shibo Hao, Zhiting Hu, Jiantao Jiao, Stuart J Russell, Yuandong Tian
Main Conference Track
miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward Azim Ospanov, Farzan Farnia, Roozbeh Mohit
Main Conference Track
Chain-of-Model Learning for Language Model Xiaohua Wang, Kaitao Song, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, Cen Lu, Zihao Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
Main Conference Track
OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration Frank Wan, Jiaru Qian, Wenke Huang, Qilin Xu, Xianda Guo, Boheng Li, Guibin Zhang, Bo Du, Mang Ye
Main Conference Track
Tight Bounds for Answering Adaptively Chosen Concentrated Queries Emma Rapoport, Edith Cohen, Uri Stemmer
Main Conference Track
Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts Zhihao Wu, Jinyu Cai, Yunhe Zhang, Jielong Lu, Zhaoliang Chen, Shuman Zhuang, Haishuai Wang
Main Conference Track
Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition Error
Datasets and Benchmarks Track
ToF-IP: Time-of-Flight Enhanced Sparse Inertial Poser for Real-time Human Motion Capture Yuan Yao, Shifan Jiang, Yangqing Hou, Chengxu Zuo, Xinrui Chen, Shihui Guo, Yipeng Qin
Main Conference Track
A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction Di Wen, Yu Wang, Zhigang Wu, Zhaocheng He, Zhe Wu, Zheng Qingfang
Main Conference Track
RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics Jie M. Zhang, Cezara Petrui, Kristina Nikolić, Florian Tramer
Datasets and Benchmarks Track
Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs Masahiro Kaneko, Timothy Baldwin
Main Conference Track
PIVNO: Particle Image Velocimetry Neural Operator Xu Jie, Xuesong Zhang, Jing Jiang, Qinghua Cui
Main Conference Track
UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification Xixi Wan, AIHUA ZHENG, Bo Jiang, Beibei Wang, Chenglong Li, Jin Tang
Main Conference Track
The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses Greg Gluch, Berkant Turan, Sai Ganesh Nagarajan, Sebastian Pokutta
Main Conference Track
Coloring Learning for Heterophilic Graph Representation Miaomiao Huang, Yuhai Zhao, Daniel Zhengkui Wang, Fenglong Ma, Yejiang Wang, Meixia Wang, Xingwei Wang
Main Conference Track
Missing Data Imputation by Reducing Mutual Information with Rectified Flows Jiahao Yu, Qizhen Ying, Leyang Wang, Ziyue Jiang, Song Liu
Main Conference Track
$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization Lin Zhu, Yifeng Yang, Xinbing Wang, Qinying Gu, Nanyang Ye
Main Conference Track
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Daniel Ovalle, Lorenz Biegler, Ignacio Grossmann, Carl Laird, Mateo Dulce Rubio
Main Conference Track
R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO Huanjin Yao, Qixiang Yin, Jingyi Zhang, Min Yang, Yibo Wang, Wenhao Wu, Fei Su, Li Shen, Minghui Qiu, Dacheng Tao, Jiaxing Huang
Main Conference Track
Bio-Inspired Image Restoration Yuning Cui, Wenqi Ren, Alois Knoll
Main Conference Track
Feedback Guidance of Diffusion Models Felix Koulischer, Florian Handke, Johannes Deleu, Thomas Demeester, Luca Ambrogioni
Main Conference Track
Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning Wang Yang, Zirui Liu, Hongye Jin, Qingyu Yin, Vipin Chaudhary, Xiaotian Han
Main Conference Track
EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event Representation Sheng Wu, Lin Jin, Hui Feng, Bo Hu
Main Conference Track
RvLLM: LLM Runtime Verification with Domain Knowledge Yedi Zhang, Sun Emma, Annabelle En, Jin Song Dong
Main Conference Track
MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series Payal Mohapatra, Yueyuan Sui, Akash Pandey, Stephen Xia, Qi Zhu
Main Conference Track
MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling Yuxi Liu, Renjia Deng, Yutong He, xue wang, Tao Yao, Kun Yuan
Main Conference Track
Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits Weixin Chen, Han Zhao
Main Conference Track
Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits Shaoang Li, Jian Li
Main Conference Track
Riemannian Consistency Model Chaoran Cheng, Yusong Wang, Yuxin Chen, Xiangxin Zhou, Nanning Zheng, Ge Liu
Main Conference Track
Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions Yizhou Xu, Florent Krzakala, Lenka Zdeborová
Main Conference Track
Stop DDoS Attacking the Research Community with AI-Generated Survey Papers Error
Position Paper Track
ChatbotID: Identifying Chatbots with Granger Causality Test Xiaoquan Yi, Haozhao Wang, Yining Qi, Wenchao Xu, Rui Zhang, Yuhua Li, Ruixuan Li
Main Conference Track
PolypSense3D: A Multi-Source Benchmark Dataset for Depth-Aware Polyp Size Measurement in Endoscopy Ruyu Liu, Lin Wang, Zhou Mingming, Jianhua Zhang, ZHANG HAOYU, Xiufeng Liu, Xu Cheng, Sixian Chan, Shen yanbin, Dai Sheng, Yuping Yan, Yaochu Jin, Lingjuan Lyu
Datasets and Benchmarks Track
VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models Zhicheng Zhang, Weicheng Wang, Yongjie Zhu, Wenyu Qin, Pengfei Wan, Di ZHANG, Jufeng Yang
Main Conference Track
COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space Pengyi Li, Hongyao Tang, Yifu Yuan, Jianye Hao, Zibin Dong, YAN ZHENG
Main Conference Track
Monitoring Risks in Test-Time Adaptation Mona Schirmer, Metod Jazbec, Christian Andersson Naesseth, Eric Nalisnick
Main Conference Track
Individual Regret in Cooperative Stochastic Multi-Armed Bandits Idan Barnea, Tal Lancewicki, Yishay Mansour
Main Conference Track
VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection Wuyang Li, Zhu Yu, Alexandre Alahi
Main Conference Track
Tracking and Understanding Object Transformations Yihong Sun, Xinyu Yang, Jennifer Sun, Bharath Hariharan
Main Conference Track
Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments Riley Simmons-Edler, Ryan Badman, Felix Berg, Raymond Chua, John Vastola, Joshua Lunger, William Qian, Kanaka Rajan
Main Conference Track
CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation Li Liang, Bo Miao, Xinyu Wang, NAVEED AKHTAR, Jordan Vice, Ajmal Mian
Main Conference Track
Sampling by averaging: A multiscale approach to score estimation Paula Cordero-Encinar, Andrew Duncan, Sebastian Reich, O. Deniz Akyildiz
Main Conference Track
Quantization-Free Autoregressive Action Transformer Ziyad Sheebaelhamd, Michael Tschannen, Michael Muehlebach, Claire Vernade
Main Conference Track
Prompt-guided Disentangled Representation for Action Recognition tianci wu, Guangming Zhu, Lu jiang, Siyuan Wang, Ning Wang, Nuoye Xiong, Liang Zhang
Main Conference Track
Breaking the Discretization Barrier of Continuous Physics Simulation Learning Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao
Main Conference Track
Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu, Peilin Zhao, Chunyan Miao
Main Conference Track
Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization Marius Potfer, Vianney Perchet
Main Conference Track
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems Yinsicheng Jiang, Yao Fu, Yeqi Huang, Ping Nie, Zhan Lu, Leyang Xue, Congjie He, Man-Kit Sit, Jilong Xue, Li Dong, Ziming Miao, DaYou Du, Tairan Xu, Kai Zou, Edoardo Maria Ponti, Luo Mai
Datasets and Benchmarks Track
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Hengyuan Cao, Yutong Feng, Biao Gong, Yijing Tian, Yunhong Lu, Chuang Liu, Bin Wang
Main Conference Track
Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning Jiawei Huang, Minming Li, Hu Ding
Main Conference Track
FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities Jin Wang, Yao Lai, Aoxue Li, Shifeng Zhang, Jiacheng Sun, Ning Kang, Chengyue Wu, Zhenguo Li, Ping Luo
Main Conference Track
S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning Hanqing Zeng, Yinglong Xia, Zhuokai Zhao, Chuan Jiang, Qiang Zhang, Jiayi Liu, Qunshu Zhang, Lizhu Zhang, Xiangjun Fan, Benyu Zhang
Main Conference Track
Adaptive Latent-Space Constraints in Personalized Federated Learning Sana Ayromlou, David B. Emerson
Main Conference Track
Instance-Optimality for Private KL Distribution Estimation Jiayuan Ye, Vitaly Feldman, Kunal Talwar
Main Conference Track
DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving Shuyao Shang, Yuntao Chen, Yuqi Wang, Yingyan Li, ZHAO-XIANG ZHANG
Main Conference Track
An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu
Main Conference Track
Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs Wanyun Cui, Mingwei Xu
Main Conference Track
ReDi: Rectified Discrete Flow Jaehoon Yoo, Wonjung Kim, Seunghoon Hong
Main Conference Track
DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation Jiahui Wang, Changhao Chen
Main Conference Track
CLEAR: Command Level Annotated Dataset for Ransomware Detection Error
Datasets and Benchmarks Track
4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Ziqiao Ma, Xuweiyi Chen, Shoubin Yu, Sai Bi, Kai Zhang, Ziwen Chen, Sihan Xu, Jianing Yang, Zexiang Xu, Kalyan Sunkavalli, Mohit Bansal, Joyce Chai, Hao Tan
Main Conference Track
Permissioned LLMs: Enforcing Access Control in Large Language Models Bargav Jayaraman, Virendra Marathe, Hamid Mozaffari, William Shen, Krishnaram Kenthapadi
Main Conference Track
Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond) Liwei Jiang, Yuanjun Chai, Margaret Li, Mickel Liu, Raymond Fok, Nouha Dziri, Yulia Tsvetkov, Maarten Sap, Yejin Choi
Datasets and Benchmarks Track
Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations Yujie Zhu, Charles Hepburn, Matthew Thorpe, Giovanni Montana
Main Conference Track
Identifiability of Deep Polynomial Neural Networks Konstantin Usevich, Ricardo Borsoi, Clara Dérand, Marianne Clausel
Main Conference Track
Robust Hyperbolic Learning with Curvature-Aware Optimization Ahmad Bdeir, Johannes Burchert, Lars Schmidt-Thieme, Niels Landwehr
Main Conference Track
SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts Error
Datasets and Benchmarks Track
Memory by accident: a theory of learning as a byproduct of network stabilization Basile Confavreux, William Dorrell, Nishil Patel, Andrew M Saxe
Main Conference Track
Training-Free Efficient Video Generation via Dynamic Token Carving Yuechen Zhang, Jinbo Xing, bin xia, Shaoteng Liu, Bohao PENG, Xin Tao, Pengfei Wan, Eric Lo, Jiaya Jia
Main Conference Track
Counterfactual Evolution of Multimodal Datasets via Visual Programming Minghe Gao, Zhongqi Yue, Wenjie Yan, Yihao Hu, Wei Ji, Siliang Tang, Jun Xiao, Tat-Seng Chua, Yueting Zhuang, Juncheng Li
Main Conference Track
Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions Error
Datasets and Benchmarks Track
TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup Fanxu Meng, Pingzhi Tang, Zengwei Yao, Xing Sun, Muhan Zhang
Main Conference Track
The Right to Red-Team: Adversarial AI Literacy as a Civic Imperative in K-12 Education Error
Position Paper Track
Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation Jitesh Jain, Zhengyuan Yang, Humphrey Shi, Jianfeng Gao, Jianwei Yang
Main Conference Track
UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback Pengwei Liu, Hangjie Yuan, Bo Dong, Jiazheng Xing, Jinwang Wang, Rui Zhao, Weihua Chen, Fan Wang
Main Conference Track
Factorio Learning Environment Error
Datasets and Benchmarks Track
ProteinConformers: Benchmark Dataset for Simulating Protein Conformational Landscape Diversity and Plausibility Yihang Zhou, Chen Wei, Minghao Sun, Jin Song, Yang Li, Lin Wang, Yang Zhang
Datasets and Benchmarks Track
Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
Main Conference Track
BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks Error
Datasets and Benchmarks Track
Capturing Individual Human Preferences with Reward Features Andre Barreto, Vincent Dumoulin, Yiran Mao, Mark Rowland, Nicolas Perez-Nieves, Bobak Shahriari, Yann Dauphin, Doina Precup, Hugo Larochelle
Main Conference Track
Improving Video Generation with Human Feedback Jie Liu, Gongye Liu, Jiajun Liang, Ziyang Yuan, Xiaokun Liu, Mingwu Zheng, Xiele Wu, Qiulin Wang, Menghan Xia, Xintao Wang, Xiaohong Liu, Fei Yang, Pengfei Wan, Di ZHANG, Kun Gai, Yujiu Yang, Wanli Ouyang
Main Conference Track
OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance Yuhan Yao, Feifei Kou, Lei Shi, Xiao yang, Zhongbao Zhang, Suguo Zhu, Jiwei Zhang, Lirong Qiu, LI Haisheng
Main Conference Track
LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders Borna Khodabandeh, Amirabbas Afzali, Amirhossein Afsharrad, Shahab Mousavi, Sanjay Lall, Sajjad Amini, Seyed-Mohsen Moosavi-Dezfooli
Main Conference Track
FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning Haizhou Du, Yiran Xiang, Yiwen Cai, Xiufeng Liu, Zonghan Wu, Huan Huo, Guodong Long
Main Conference Track
HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems H M Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff, Param Budhraja, Zijian Guo, Songyuan Zhang, Chuchu Fan, Christos G Cassandras, Wenchao Li
Main Conference Track
A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders David Chanin, James Wilken-Smith, Tomáš Dulka, Hardik Bhatnagar, Satvik Golechha, Joseph Bloom
Main Conference Track
LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss Pau Rodriguez, Michal Klein, Eleonora Gualdoni, Valentino Maiorca, Arno Blaas, Luca Zappella, Marco Cuturi, Xavier Suau
Main Conference Track
Look-Ahead Reasoning on Learning Platforms Haiqing Zhu, Tijana Zrnic, Celestine Mendler-Dünner
Main Conference Track
Sparse Optimistic Information Directed Sampling Ludovic Schwartz, Hamish Flynn, Gergely Neu
Main Conference Track
GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data Wentao Wang, Hang Ye, Fangzhou Hong, Xue Yang, Jianfu Zhang, Yizhou Wang, Ziwei Liu, Liang Pan
Main Conference Track
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting Yisong Fu, Fei Wang, Zezhi Shao, Boyu Diao, Lin Wu, Zhulin An, Chengqing Yu, Yujie Li, Yongjun Xu
Main Conference Track
CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models Shristi Das Biswas, Arani Roy, Kaushik Roy
Main Conference Track
Online Portfolio Selection with ML Predictions Ziliang Zhang, Tianming Zhao, Albert Zomaya
Main Conference Track
CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning Jun Wang, Fuyuan CAO, Zhixin Xue, Xingwang Zhao, Jiye Liang
Main Conference Track
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Error
Datasets and Benchmarks Track
CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning Ke Niu, Zhuofan Chen, Haiyang Yu, Yuwen Chen, Teng Fu, Mengyang Zhao, Bin Li, Xiangyang Xue
Main Conference Track
Where Does It Exist from the Low-Altitude: Spatial Aerial Video Grounding Yang Zhan, Yuan Yuan
Main Conference Track
FAIR Universe HiggsML Uncertainty Dataset and Competition Wahid Bhimji, Ragansu Chakkappai, Po-Wen Chang, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Ibrahim Elsharkawy, Steven Farrell, Aishik Ghosh, Cristina Giordano, Isabelle Guyon, Chris Harris, Yota Hashizume, Shih-Chieh Hsu, Elham E Khoda, Claudius Krause, Ang Li, Benjamin Nachman, David Rousseau, Robert Schöfbeck, Maryam Shooshtari, Dennis Schwarz, Ihsan Ullah, Daohan Wang, Yulei Zhang
Datasets and Benchmarks Track
Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models Daoyuan Chen, Yilun Huang, Xuchen Pan, Jiang Nana, Haibin Wang, Yilei Zhang, Ce Ge, Yushuo Chen, Wenhao Zhang, Zhijian Ma, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou
Datasets and Benchmarks Track
A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning Xiaoli Tang, Han Yu, Xiaoxiao Li
Main Conference Track
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models Julius Vetter, Manuel Gloeckler, Daniel Gedon, Jakob H Macke
Main Conference Track
FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation Ariel Shaulov, Itay Hazan, Lior Wolf, Hila Chefer
Main Conference Track
How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets Marie-Charlotte Brandenburg, Katharina Jochemko
Main Conference Track
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning Chi-Pin Huang, Yueh-Hua Wu, Min-Hung Chen, Frank Wang, Fu-En Yang
Main Conference Track
SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches Ehsan Latif, Zirak Khan, Xiaoming Zhai
Main Conference Track
MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D Scans Ahmet Karadeniz, Dimitrios Mallis, Danila Rukhovich, Kseniya Cherenkova, Anis Kacem, Djamila Aouada
Main Conference Track
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling Jiaqi Wang, Zhiguang Cao, Peng Zhao, Rui Cao, YuBin Xiao, YUAN JIANG, You Zhou
Main Conference Track
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models Zhongxing Xu, Chengzhi Liu, Qingyue Wei, Juncheng Wu, James Y Zou, Xin Wang, Yuyin Zhou, Sheng Liu
Main Conference Track
EvoLM: In Search of Lost Training Dynamics for Language Model Reasoning Zhenting Qi, Fan Nie, Alexandre Alahi, James Y Zou, Himabindu Lakkaraju, Yilun Du, Eric P Xing, Sham Kakade, Hanlin Zhang
Main Conference Track
MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios Yang Shi, Huanqian Wang, Xie, Huanyao Zhang, Lijie Zhao, yifan zhang, Xinfeng Li, Chaoyou Fu, Zhuoer Wen, Wenting Liu, Zhuoran Zhang, Xinlong Chen, Bohan Zeng, Sihan Yang, Yushuo Guan, Zhang, Liang Wang, Haoxuan Li, Zhouchen Lin, Yuanxing Zhang, Pengfei Wan, Haotian Wang, Wenjing Yang
Datasets and Benchmarks Track
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework Laura Kopf, Nils Feldhus, Kirill Bykov, Philine L Bommer, Anna Hedström, Marina Höhne, Oliver Eberle
Main Conference Track
Flattening Hierarchies with Policy Bootstrapping John L. Zhou, Jonathan C. Kao
Main Conference Track
BeliefMapNav: 3D Voxel-Based Belief Map for Zero-Shot Object Navigation Zibo Zhou, Yue Hu, Lingkai Zhang, Zonglin Li, Siheng Chen
Main Conference Track
From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD Konstantinos Tsiolis, Alireza Mousavi-Hosseini, Murat A Erdogdu
Main Conference Track
Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models Aleksandar Terzic, Nicolas Menet, Michael Hersche, Thomas Hofmann, Abbas Rahimi
Main Conference Track
Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders Leibniz University Hannover L3S Research Center Ali Rasekh, Erfan Soula, Omid Daliran, Simon Gottschalk, Mohsen Fayyaz
Main Conference Track
Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings Stephen Zhang, Mustafa Khan, Vardan Papyan
Main Conference Track
URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles Error
Datasets and Benchmarks Track
PANDA: Towards Generalist Video Anomaly Detection via Agentic AI Engineer Zhiwei Yang, Chen Gao, Mike Zheng Shou
Main Conference Track
Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models Yi Liu, Dianqing Liu, Mingye Zhu, Junbo Guo, Yongdong Zhang, Zhendong Mao
Main Conference Track
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Zongqian Li, Yixuan Su, Nigel Collier
Main Conference Track
DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents Hao Li, Xiaogeng Liu, CHIU Chun, Dianqi Li, Ning Zhang, Chaowei Xiao
Main Conference Track
I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions Shuhong Liu, Lin Gu, Ziteng Cui, Xuangeng Chu, Tatsuya Harada
Main Conference Track
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Ye Wang, Ziheng Wang, Boshen Xu, Yang Du, Kejun Lin, Zihan Xiao, Zihao Yue, Jianzhong Ju, Liang Zhang, Dingyi Yang, Xiangnan Fang, Zewen He, Zhenbo Luo, Wenxuan Wang, Junqi Lin, Jian Luan, Qin Jin
Main Conference Track
RLZero: Direct Policy Inference from Language Without In-Domain Supervision Harshit Sushil Sikchi, Siddhant Agarwal, Pranaya Jajoo, Samyak Parajuli, Caleb Chuck, Max Rudolph, Peter Stone, Amy Zhang, Scott Niekum
Main Conference Track
Robust Contextual Pricing Anupam Gupta, Guru Guruganesh, Renato Leme, Jon Schneider
Main Conference Track
TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents Xiaochuan Gou, Ziyue Li, Tian Lan, Junpeng Lin, zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang
Datasets and Benchmarks Track
SAO-Instruct: Free-form Audio Editing using Natural Language Instructions Michael Ungersböck, Florian Grötschla, Luca A. Lanzendörfer, June Young Yi, Changho Choi, Roger Wattenhofer
Main Conference Track
$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks Pei Zhou, Wanting Yao, Qian Luo, Xunzhe Zhou, Yanchao Yang
Main Conference Track
Conformal Online Learning of Deep Koopman Linear Embeddings Ben Gao, Jordan Patracone, Stephane Chretien, Olivier Alata
Main Conference Track
Brain-Like Processing Pathways Form in Models With Heterogeneous Experts Jack Cook, Danyal Akarca, Rui Costa, Jascha Achterberg
Main Conference Track
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh, Kuo-Hao Ho, Po-Wei Huang, Ti-Rong Wu, I-Chen Wu
Main Conference Track
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting Yuxuan Yang, Dalin Zhang, Yuxuan Liang, Hua Lu, Gang Chen, Huan Li
Main Conference Track
Learning to Clean: Reinforcement Learning for Noisy Label Correction Marzi Heidari, Hanping Zhang, Yuhong Guo
Main Conference Track
Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems Jongyeong Lee, Junya Honda, Shinji Ito, Min-hwan Oh
Main Conference Track
CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang, Taero Kim, Jihee Kim, Kyungwoo Song
Main Conference Track
When Thinking Drifts: Evidential Grounding for Robust Video Reasoning Romy Luo, Zihui (Sherry) Xue, Alex Dimakis, Kristen Grauman
Main Conference Track
IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning Xiong Zhang, Zhenli He, Changlong Fu, Cheng Xie
Main Conference Track
UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface Hao Tang, Chen-Wei Xie, Haiyang Wang, Xiaoyi Bao, Tingyu Weng, Pandeng Li, Yun Zheng, Liwei Wang
Main Conference Track
X2-DFD: A framework for explainable and extendable Deepfake Detection Yize Chen, Zhiyuan Yan, Guangliang Cheng, Kangran Zhao, Siwei Lyu, Baoyuan Wu
Main Conference Track
SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries Darin Tsui, Aryan Musharaf, Yigit Efe Erginbas, Justin Kang, Amirali Aghazadeh
Main Conference Track
3D Human Pose Estimation with Muscles Kevin Zhu, AliAsghar MohammadiNasrabadi, Alexander Wong, John McPhee
Main Conference Track
Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning boheng liu, Ziyu Li, Chenghua Duan, YuTian Liu, Zhuo Wang, Xiuxing Li, Qing Li, Xia Wu
Main Conference Track
Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models Xiaoyu Zhan, Wenxuan Huang, Hao Sun, Xinyu Fu, Changfeng Ma, Shaosheng Cao, Bohan Jia, Shaohui Lin, Zhenfei Yin, LEI BAI, Wanli Ouyang, Yuanqi Li, Jie Guo, Yanwen Guo
Main Conference Track
Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion Lei Cao, Hao Helen Zhang, Chunyu Li, Jiayi Ma
Main Conference Track
TreeGen: A Bayesian Generative Model for Hierarchies Marcel Kollovieh, Nils Fleischmann, Filippo Guerranti, Bertrand Charpentier, Stephan Günnemann
Main Conference Track
Coresets for Clustering Under Stochastic Noise Lingxiao Huang, Zhize Li, Nisheeth K. Vishnoi, Runkai Yang, Haoyu Zhao
Main Conference Track
Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting Jiahui Zhang, Zhengyang Zhou, Wenjie Du, Yang Wang
Main Conference Track
DUO: No Compromise to Accuracy Degradation Jinda Jia, Cong Xie, Hanlin Lu, Fanjiang Ye, Hao Feng, Daoce Wang, Haibin Lin, Zhi Zhang, Xin Liu
Main Conference Track
TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making Shanshan Li, Da Huang, Yu He, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue
Main Conference Track
Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows Leslie Hwang
Main Conference Track
Training Robust Graph Neural Networks by Modeling Noise Dependencies Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park
Main Conference Track
A Unified Framework for the Transportability of Population-Level Causal Measures Ahmed Boughdiri, Clément Berenfeld, Julie Josse, Erwan Scornet
Main Conference Track
MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning? Kai Yan, Zhan Ling, Kang Liu, Yifan Yang, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen
Datasets and Benchmarks Track
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation Yanwei Ren, Haotian Zhang, Fuxiang Wu, Jiayan Qiu, Jiaxing Huang, Baosheng Yu, Liu Liu
Main Conference Track
Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions Yanna Ding, Songtao Lu, Yingdong Lu, Tomasz Nowicki, Jianxi Gao
Main Conference Track
STEER-ME: Assessing the Microeconomic Reasoning of Large Language Models Error
Datasets and Benchmarks Track
Kinetics: Rethinking Test-Time Scaling Law Ranajoy Sadhukhan, Zhuoming Chen, Haizhong Zheng, Beidi Chen
Main Conference Track
Generalizing while preserving monotonicity in comparison-based preference learning models Julien Fageot, Peva Blanchard, Gilles Bareilles, Lê-Nguyên Hoang
Main Conference Track
Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection Zheng Zhan, Liliang Ren, Shuohang Wang, Liyuan Liu, Yang Liu, Yeyun Gong, Yanzhi Wang, yelong shen
Main Conference Track
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking Junhyuk So, Chiwoong Lee, Shinyoung Lee, Jungseul Ok, Eunhyeok Park
Main Conference Track
GMM-based VAE model with Normalising Flow for effective stochastic segmentation Conghui Li, Chern Hong Lim, Xin Wang
Main Conference Track
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev, Yingxue Zhang, Mark Coates
Main Conference Track
Thompson Sampling for Multi-Objective Linear Contextual Bandit Somangchan Park, Heesang Ann, Min-hwan Oh
Main Conference Track
Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods Junhyung Lyle Kim, Brandon Augustino, Dylan Herman, Enrico Fontana, Jacob Watkins, Marco Pistoia, Shouvanik Chakrabarti
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Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation Chaeyun Jang, Deukhwan Cho, Seanie Lee, Hyungi Lee, Juho Lee
Main Conference Track
Zero-shot protein stability prediction by inverse folding models: a free energy interpretation Jes Frellsen, Maher Kassem, Tone Bengtsen, Lars Olsen, Kresten Lindorff-Larsen, Jesper Ferkinghoff-Borg, Wouter Boomsma
Main Conference Track
Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate Decomposition Sina Malakouti, Adriana Kovashka
Main Conference Track
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility Haoyu He, Haozheng Luo, Yan Chen, Qi (Cheems) Wang
Main Conference Track
SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions Cristian Sbrolli, Matteo Matteucci
Main Conference Track
Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation Dogyun Park, Taehoon Lee, Minseok Joo, Hyunwoo J. Kim
Main Conference Track
Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection Jinyu Cai, Yuan Xie, Glynnis Lim, Yifang Yin, Roger Zimmermann, See-Kiong Ng
Main Conference Track
Value-Guided Search for Efficient Chain-of-Thought Reasoning Kaiwen Wang, Jin Peng Zhou, Jonathan Chang, Zhaolin Gao, Nathan Kallus, Kianté Brantley, Wen Sun
Main Conference Track
Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity Susav Shrestha, Bradley Settlemyer, Nikoli Dryden, Narasimha Reddy
Main Conference Track
MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling Jiaming Ma, Binwu Wang, Qihe Huang, Guanjun Wang, Pengkun Wang, Zhengyang Zhou, Yang Wang
Main Conference Track
Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph Gautam Kamath, Alireza F. Pour, Matthew Regehr, David P. Woodruff
Main Conference Track
A learnability analysis on neuro-symbolic learning Hao-Yuan He, Ming LI
Main Conference Track
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach woohyeon Byeon, Giseung Park, Jongseong Chae, Amir Leshem, Youngchul Sung
Main Conference Track
Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent Ziyang Wei, Jiaqi Li, Zhipeng Lou, Wei Biao Wu
Main Conference Track
On the Entropy Calibration of Language Models Steven Cao, Gregory Valiant, Percy Liang
Main Conference Track
Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers Zhuomeng Zhang, Fangqi Li, Hanyi Wang, Shi-Lin Wang
Main Conference Track
Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era Feng Lu, Tong Jin, Canming Ye, Xiangyuan Lan, Yunpeng Liu, Chun Yuan
Main Conference Track
Inference-Time Personalized Alignment with a Few User Preference Queries Victor-Alexandru Pădurean, Parameswaran Kamalaruban, Nachiket Kotalwar, Alkis Gotovos, Adish Singla
Main Conference Track
Anatomically inspired digital twins capture hierarchical object representations in visual cortex Emanuele Luconi, Dario Liscai, Carlo Baldassi, Alessandro Marin Vargas, Alessandro Sanzeni
Main Conference Track
Online Inverse Linear Optimization: Efficient Logarithmic-Regret Algorithm, Robustness to Suboptimality, and Lower Bound Shinsaku Sakaue, Taira Tsuchiya, Han Bao, Taihei Oki
Main Conference Track
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution Zheng Chen, Zichen Zou, Kewei Zhang, Xiongfei Su, Xin Yuan, Yong Guo, Yulun Zhang
Main Conference Track
Generalizable Reasoning through Compositional Energy Minimization Alexandru Oarga, Yilun Du
Main Conference Track
OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates Jinpei Guo, Yifei Ji, Zheng Chen, Kai Liu, Min Liu, Wang Rao, Wenbo Li, Yong Guo, Yulun Zhang
Main Conference Track
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning Mingyang Chen, Linzhuang Sun, Tianpeng Li, Haoze Sun, ZhouYijie, Chenzheng Zhu, Haofen Wang, Jeff Pan, Wen Zhang, Huajun Chen, Fan Yang, Zenan Zhou, weipeng chen
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Private Geometric Median in Nearly-Linear Time Syamantak Kumar, Daogao Liu, Kevin Tian, Chutong Yang
Main Conference Track
Graph Data Selection for Domain Adaptation: A Model-Free Approach Ting-Wei Li, Ruizhong Qiu, Hanghang Tong
Main Conference Track
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning Xusheng Cao, Haori Lu, Linlan Huang, Fei Yang, Xialei Liu, Ming-Ming Cheng
Main Conference Track
Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning Zijun Chen, Shengbo Wang, Nian Si
Main Conference Track
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers Xuyang Zhong, Haochen Luo, Chen Liu
Main Conference Track
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models Yongqi Huang, Jitao Zhao, Dongxiao He, Xiaobao Wang, Yawen Li, Yuxiao Huang, Di Jin, Zhiyong Feng
Main Conference Track
Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT Guy Bar-Shalom, Fabrizio Frasca, Yaniv Galron, Yftah Ziser, Haggai Maron
Main Conference Track
Bilevel Network Learning via Hierarchically Structured Sparsity Jiayi Fan, Jingyuan Yang, Shuangge Ma, Mengyun Wu
Main Conference Track
YEAST: Yet Another Sequential Test Alexey Kurennoy, Majed Dodin, Tural Gurbanov, Ana Peleteiro Ramallo
Main Conference Track
NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints Changyao Tian, Hao Li, Gen Luo, Xizhou Zhu, Weijie Su, Hanming Deng, Jinguo Zhu, Jie Shao, Ziran Zhu, Yunpeng Liu, Lewei Lu, Wenhai Wang, Hongsheng Li, Jifeng Dai
Main Conference Track
PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding Kangcong Li, Peng Ye, Chongjun Tu, Lin Zhang, Chunfeng Song, Jiamin Wu, Tao Yang, Qihao Zheng, Tao Chen
Main Conference Track
Knowledge Distillation of Uncertainty using Deep Latent Factor Model Sehyun Park, Jongjin Lee, Yunseop Shin, Ilsang Ohn, Yongdai Kim
Main Conference Track
Universally Invariant Learning in Equivariant GNNs Jiacheng Cen, Anyi Li, Ning Lin, Tingyang Xu, Yu Rong, Deli Zhao, Zihe Wang, Wenbing Huang
Main Conference Track
FIGRDock: Fast Interaction-Guided Regression for Flexible Docking Shikun Feng, Bicheng Lin, Yuanhuan Mo, Yuyan Ni, Wenyu Zhu, Bowen Gao, Wei-Ying Ma, haitao li, Yanyan Lan
Main Conference Track
Differentially Private Relational Learning with Entity-level Privacy Guarantees Yinan Huang, Haoteng Yin, Eli Chien, Rongzhe Wei, Pan Li
Main Conference Track
Amortized Active Generation of Pareto Sets Daniel M Steinberg, Asiri Wijesinghe, Rafael Oliveira, Piotr Koniusz, Cheng Soon Ong, Edwin V. Bonilla
Main Conference Track
Prediction with expert advice under additive noise Alankrita Bhatt, Victoria Kostina
Main Conference Track
Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning Chaoyang Li, Runze Ye, Jianyang Qin, Jinhao Cui, Lingzhi Wang, Ning Hu, Qing Liao
Main Conference Track
Momentum Multi-Marginal Schrödinger Bridge Matching Panagiotis Theodoropoulos, Augustinos Saravanos, Evangelos A. Theodorou, Guan-Horng Liu
Main Conference Track
Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology Luting Wang, Yinghao Xiang, Hongliang Huang, Dongjun Li, Chen Gao, Si Liu
Main Conference Track
Timely Clinical Diagnosis through Active Test Selection Silas Ruhrberg Estévez, Nicolás Astorga, Mihaela van der Schaar
Main Conference Track
Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models Byeonghu Na, Mina Kang, Jiseok Kwak, Minsang Park, Jiwoo Shin, SeJoon Jun, Gayoung Lee, Jin-Hwa Kim, Il-chul Moon
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SPRO: Improving Image Generation via Self-Play Ritika Jha, Aanisha Bhattacharyya, Yaman Singla, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
Main Conference Track
True Impact of Cascade Length in Contextual Cascading Bandits Hyun-jun Choi, Joongkyu Lee, Min-hwan Oh
Main Conference Track
Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval Wenhao Li, Yuxin Zhang, Gen Luo, Haiyuan Wan, Ziyang Gong, Fei Chao, Rongrong Ji
Main Conference Track
Competitive Advantage Attacks to Decentralized Federated Learning Yuqi Jia, Minghong Fang, Neil Gong
Main Conference Track
Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities Xihang Qiu, Jiarong Cheng, Yuhao Fang, Wanpeng Zhang, Yao Lu, Ye Zhang, Chun Li
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Co-Regularization Enhances Knowledge Transfer in High Dimensions Shuo Shuo Liu, Haotian Lin, Matthew Reimherr, Runze Li
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Path-Enhanced Contrastive Learning for Recommendation Haoran Sun, Fei Xiong, Yuanzhe Hu, Liang Wang
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Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning Jisoo Kim, Sungmin Kang, Sunwoo Lee
Main Conference Track
CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding Xianhan Tan, Binli Luo, Yu Qi, Yueming Wang
Main Conference Track
EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting Bohao Liao, Wei Zhai, Zengyu Wan, Zhixin Cheng, Wenfei Yang, Yang Cao, Tianzhu Zhang, Zheng-Jun Zha
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Probably Approximately Precision and Recall Learning Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
Main Conference Track
PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation Chong Tang, Joseph Powell, Dirk Koch, Robert Mullins, Alex Weddell, Jagmohan Chauhan
Main Conference Track
NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval Junchen Li, Rongzheng Wang, Yihong Huang, Qizhi Chen, Jiasheng Zhang, Shuang Liang
Main Conference Track
CaMiT: A Time-Aware Car Model Dataset for Classification and Generation Error
Datasets and Benchmarks Track
Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation Qing Yu, Xiaobei Wang, Shuchang Liu, yandong.bai, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, HailanYang, Bin Wen, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou
Main Conference Track
ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data Patryk Marszałek, Tomasz Kuśmierczyk, Witold Wydmański, Jacek Tabor, Marek Śmieja
Main Conference Track
FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning Yunbo Li, Jiaping Gui, Zhihang Deng, Fanchao Meng, Yue Wu
Main Conference Track
Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values Hadi Hosseini, Samarth Khanna
Main Conference Track
Stochastic Gradients under Nuisances Facheng Yu, Ronak Mehta, Alex Luedtke, Zaid Harchaoui
Main Conference Track
Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics Kazuya Nishimura, Haruka Hirose, Ryoma Bise, Kaito Shiku, Yasuhiro Kojima
Main Conference Track
Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding Yue Guan, Changming Yu, Shihan Fang, Weiming Hu, Zaifeng Pan, Zheng Wang, Zihan Liu, Yangjie Zhou, Yufei Ding, Minyi Guo, Jingwen Leng
Main Conference Track
MixAT: Combining Continuous and Discrete Adversarial Training for LLMs Csaba Dékány, Stefan Balauca, Dimitar I. Dimitrov, Robin Staab, Martin Vechev
Main Conference Track
Sample-Conditional Coverage in Split-Conformal Prediction John C. Duchi
Main Conference Track
Causal Discovery over Clusters of Variables in Markovian Systems Tara Anand, Adèle Ribeiro, Jin Tian, George Hripcsak, Elias Bareinboim
Main Conference Track
Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks Sara Cammarota, Matteo Ferrante, Nicola Toschi
Main Conference Track
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning Amir Rezaei Balef, Claire Vernade, Katharina Eggensperger
Main Conference Track
T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints Thomas Eiter, Katsumi Inoue, Nelson Higuera, Sota Moriyama
Main Conference Track
MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction Yunkee Chae, Kyogu Lee
Main Conference Track
KAIROS: Scalable Model-Agnostic Data Valuation Jiongli Zhu, Parjanya Prashant, Alex Cloninger, Babak Salimi
Main Conference Track
LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision Anthony Fuller, Yousef Yassin, Junfeng Wen, Tarek Ibrahim, Daniel G. Kyrollos, James Green, Evan Shelhamer
Main Conference Track
Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules Tianwei Wang, Xinhui Ma, Wei Pang
Main Conference Track
Understanding Differential Transformer Unchains Pretrained Self-Attentions Chaerin Kong, Jiho Jang, Nojun Kwak
Main Conference Track
Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization jingfeng Guo, Jian Liu, Jinnan Chen, Shiwei Mao, Changrong Hu, Puhua Jiang, Junlin Yu, Jing Xu, Qi Liu, LiXin Xu, Zhuo Chen, Chunchao Guo
Main Conference Track
Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals Qinsi Wang, Jinghan Ke, Hancheng Ye, Yueqian Lin, Yuzhe Fu, Jianyi Zhang, Kurt Keutzer, Chenfeng Xu, Yiran Chen
Main Conference Track
CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Yuchen Zhou, Jiamin Wu, Zichen Ren, Zhouheng Yao, Weiheng Lu, Kunyu Peng, Qihao Zheng, Chunfeng Song, Wanli Ouyang, Chao Gou
Main Conference Track
NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception CONGZHANG SHAO, Quan Yuan, Guiyang Luo, Yue Hu, Danni Wang, Liu Yilin, Rui Pan, Bo Chen, Jinglin Li
Main Conference Track
Resounding Acoustic Fields with Reciprocity Zitong Lan, Yiduo Hao, Mingmin Zhao
Main Conference Track
Learning to Insert for Constructive Neural Vehicle Routing Solver Fu Luo, Xi Lin, Mengyuan Zhong, Fei Liu, Zhenkun Wang, Jianyong Sun, Qingfu Zhang
Main Conference Track
Test-Time Scaling of Diffusion Models via Noise Trajectory Search Vignav Ramesh, Morteza Mardani
Main Conference Track
The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control Ruili Feng, Han Zhang, Zhilei Shu, Zhantao Yang, Longxiang Tang, Zhicai Wang, Andy Zheng, Jie Xiao, Zhiheng Liu, Ruihang Chu, Yukun Huang, Yu Liu, Hongyang Zhang
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Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory Hanru Bai, Weiyang Ding, Difan Zou
Main Conference Track
A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Yu-Feng Li, Xiaoxing Ma
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$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks Francesco Innocenti, El Mehdi Achour, Christopher L Buckley
Main Conference Track
Model-Informed Flows for Bayesian Inference Joohwan Ko, Justin Domke
Main Conference Track
Abstract Counterfactuals for Language Model Agents Edoardo Pona, Milad Kazemi, Yali Du, David Watson, Nicola Paoletti
Main Conference Track
Counterfactual reasoning: an analysis of in-context emergence Moritz Miller, Bernhard Schölkopf, Siyuan Guo
Main Conference Track
TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning Hongyang He, Xinyuan Song, Yangfan He, Zeyu Zhang, Yanshu Li, Haochen You, Lifan Sun, Wenqiao Zhang
Main Conference Track
CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays Error
Datasets and Benchmarks Track
Direct Fisher Score Estimation for Likelihood Maximization Sherman Khoo, Yakun Wang, Song Liu, Mark Beaumont
Main Conference Track
Differentiable Hierarchical Visual Tokenization Marius Aasan, Martine Hjelkrem Tan, Nico Catalano, Changkyu Choi, Adín Ramírez Rivera
Main Conference Track
Modeling Neural Activity with Conditionally Linear Dynamical Systems Victor Geadah, Amin Nejatbakhsh, David Lipshutz, Jonathan Pillow, Alex H Williams
Main Conference Track
UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition guojun lei, Rong Zhang, Tianhang Liu, Hong Li, Zhiyuan Ma, Chi Wang, Weiwei Xu
Main Conference Track
Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks Alexander Ratzan, Sidharth Goel, Junhao Wen, Christos Davatzikos, Erdem Varol
Main Conference Track
Exploring the limits of strong membership inference attacks on large language models Jamie Hayes, I Shumailov, Christopher A. Choquette-Choo, Matthew Jagielski, Georgios Kaissis, Milad Nasr, Meenatchi Sundaram Muthu Selva Annamalai, Niloofar Mireshghallah, Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye, Katherine Lee, Franziska Boenisch, Adam Dziedzic, A. Feder Cooper
Main Conference Track
Generating Computational Cognitive models using Large Language Models Milena Rmus, Akshay Kumar Jagadish, Marvin Mathony, Tobias Ludwig, Eric Schulz
Main Conference Track
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching Zhong Li, Qi Huang, Yuxuan Zhu, Lincen Yang, Mohammad Mohammadi Amiri, Niki van Stein, Matthijs van Leeuwen
Main Conference Track
Unveiling the Uncertainty in Embodied and Operational Carbon of Large AI Models through a Probabilistic Carbon Accounting Model Xiaoyang Zhang, He Fang, Yang Deng, Dan Wang
Main Conference Track
Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance Qiujiang Jin, Aryan Mokhtari
Main Conference Track
A Controllable Examination for Long-Context Language Models Error
Datasets and Benchmarks Track
Martingale Posterior Neural Networks for Fast Sequential Decision Making Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alvaro Cartea, Kevin Murphy
Main Conference Track
Convex Potential Mirror Langevin Algorithm for Efficient Sampling of Energy-Based Models Zitao Yang, Amin Ullah, Shuai Li, Fuxin Li, Jun Li
Main Conference Track
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks Alper KALLE, Théo Rudkiewicz, Mohamed Ouerfelli, Mohamed Tamaazousti
Main Conference Track
ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos Shi Chen, Erik Sandström, Sandro Lombardi, Siyuan Li, Martin R. Oswald
Main Conference Track
On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization Shaocong Ma, Heng Huang
Main Conference Track
Latent Space Factorization in LoRA Shashi Kumar, Yacouba Kaloga, John Mitros, Petr Motlicek, Ina Kodrasi
Main Conference Track
All You Need is One: Capsule Prompt Tuning with a Single Vector Yiyang Liu, James Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huangg, Dongfang Liu, Qifan Wang, Cheng Han
Main Conference Track
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank Tianhe Wu, Jian Zou, Jie Liang, Lei Zhang, Kede Ma
Main Conference Track
No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization Wenhang Shi, Yiren Chen, Shuqing Bian, Xinyi Zhang, Kai Tang, Pengfei Hu, Zhe Zhao, WEI LU, Xiaoyong Du
Main Conference Track
Learning to Factorize Spatio-Temporal Foundation Models Siru Zhong, Junjie Qiu, Yangyu Wu, Xingchen Zou, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang
Main Conference Track
Generative property enhancer: implicit guided generation through conditional density estimation Pedro O O. Pinheiro, Pan Kessel, Aya Ismail, Sai Pooja Mahajan, Kyunghyun Cho, Saeed Saremi, Nataša Tagasovska
Main Conference Track
Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Haolin Pan, Hongyu Lin, Haoran Luo, Yang Liu, Kaichun Yao, Libo Zhang, Mingjie Xing, Yanjun Wu
Main Conference Track
MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction Zeyue Zhang, Heng Ping, Peiyu Zhang, Nikos Kanakaris, Xiaoling LU, Paul Bogdan, Xiongye Xiao
Main Conference Track
Continuous Concepts Removal in Text-to-image Diffusion Models Tingxu Han, Weisong Sun, Yanrong Hu, Chunrong Fang, Yonglong zhang, Shiqing Ma, Tao Zheng, Zhenyu Chen, Zhenting Wang
Main Conference Track
VERA: Variational Inference Framework for Jailbreaking Large Language Models Anamika Lochab, Lu Yan, Patrick Pynadath, Xiangyu Zhang, Ruqi Zhang
Main Conference Track
Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics Zhenbin Wang, Lei Zhang, Wei Huang, Zhao Zhang, Zizhou Wang
Main Conference Track
A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection Error
Datasets and Benchmarks Track
Learning Repetition-Invariant Representations for Polymer Informatics Yihan Zhu, Gang Liu, Eric Inae, Tengfei Luo, Meng Jiang
Main Conference Track
Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations Yuchao Lin, Cong Fu, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Kucukbenli, Xiaofeng Qian, Shuiwang Ji
Main Conference Track
Exploiting Dynamic Sparsity in Einsum Christoph Staudt, Mark Blacher, Tim Hoffmann, Lea Kasche, Olaf Beyersdorff, Joachim Giesen
Main Conference Track
What Really is a Member? Discrediting Membership Inference via Poisoning Neal Mangaokar, Ashish Hooda, Zhuohang Li, Bradley Malin, Kassem Fawaz, Somesh Jha, Atul Prakash, Amrita Roy Chowdhury
Main Conference Track
FlashMD: long-stride, universal prediction of molecular dynamics Filippo Bigi, Sanggyu Chong, Agustinus Kristiadi, Michele Ceriotti
Main Conference Track
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing Sam Bright-Thonney, Christina Reissel, Gaia Grosso, Nathaniel Woodward, Katya Govorkova, Andrzej Novak, Sangeon Park, Eric Moreno, Philip Harris
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Distillation Robustifies Unlearning Bruce W Lee, Addie Foote, Alex Infanger, Leni Shor, Harish Kamath, Jacob Goldman-Wetzler, Bryce Woodworth, Alex Cloud, Alexander Turner
Main Conference Track
Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling Hao Chen, Guanxi Lu, Yasuyuki Okoshi, Zhiwen Mo, Masato Motomura, Hongxiang Fan
Main Conference Track
Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents Yun Hua, Haosheng Chen, Shiqin Wang, Wenhao Li, Xiangfeng Wang, Jun Luo
Main Conference Track
Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability Yarden Bakish, Itamar Zimerman, Hila Chefer, Lior Wolf
Main Conference Track
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders Yuezhou Hu, Jiaxin Guo, Xinyu Feng, Tuo Zhao
Main Conference Track
TopER: Topological Embeddings in Graph Representation Learning Astrit Tola, Funmilola Mary Taiwo, Cuneyt Akcora, Baris Coskunuzer
Main Conference Track
MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO Yicheng Xiao, Lin Song, Yukang Chen, Yingmin Luo, Yuxin Chen, Yukang Gan, Wei Huang, Xiu Li, Xiaojuan Qi, Ying Shan
Main Conference Track
FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting Fares Mehouachi, Saif Eddin Jabari
Main Conference Track
The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks Vittorio Erba, Emanuele Troiani, Lenka Zdeborová, Florent Krzakala
Main Conference Track
MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents Error
Datasets and Benchmarks Track
Length Generalization via Auxiliary Tasks Pranjal Awasthi, Anupam Gupta, Ravi Kumar
Main Conference Track
Hardware-aligned Hierarchical Sparse Attention for Efficient Long-term Memory Access Xiang Hu, Jiaqi Leng, Jun Zhao, Kewei Tu, Wei Wu
Main Conference Track
DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method Qingwen Zhang, Xiaomeng Zhu, Yushan Zhang, Yixi Cai, Olov Andersson, Patric Jensfelt
Main Conference Track
Topology-Aware Conformal Prediction for Stream Networks Jifan Zhang, Fangxin Wang, Zihe Song, Philip S Yu, Kaize Ding, Shixiang Zhu
Main Conference Track
EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models Error
Datasets and Benchmarks Track
FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies Dongyue Lu, Lingdong Kong, Gim Hee Lee, Camille Simon Chane, Wei Ooi
Main Conference Track
MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search Zonglin Yang, Wanhao Liu, Ben Gao, Yujie Liu, Wei Li, Tong Xie, Lidong Bing, Wanli Ouyang, Erik Cambria, Dongzhan Zhou
Main Conference Track
AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees Hongyi Zhou, Jin Zhu, Pingfan Su, Kai Ye, Ying Yang, Shakeel Gavioli-Akilagun, Chengchun Shi
Main Conference Track
Incomplete Multi-view Deep Clustering with Data Imputation and Alignment Jiyuan Liu, Xinwang Liu, Xinhang Wan, KE LIANG, Weixuan Liang, sihang zhou, Huijun Wu, Kehua Guo
Main Conference Track
MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs Ke Wang, Yiming QIN, Nikolaos Dimitriadis, Alessandro Favero, Pascal Frossard
Main Conference Track
ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding junliang ye, Zhengyi Wang, Ruowen Zhao, Shenghao Xie, Jun Zhu
Main Conference Track
Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse Ruikun Luo, Changwei Gu, Qiang He, Feifei Chen, Song Wu, Hai Jin, Yun Yang
Main Conference Track
CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis Florian Barthel, Wieland Morgenstern, Paul Hinzer, Anna Hilsmann, Peter Eisert
Main Conference Track
Availability-aware Sensor Fusion via Unified Canonical Space Dong-Hee Paek, SEUNG-HYUN KONG
Main Conference Track
Global Minimizers of Sigmoid Contrastive Loss Kiril Bangachev, Guy Bresler, Iliyas Noman, Yury Polyanskiy
Main Conference Track
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning Yibo Zhao, Yang Zhao, Hongru Du, Hao Frank Yang
Main Conference Track
Faster Generic Identification in Tree-Shaped Structural Causal Models Yasmine Briefs, Markus Bläser
Main Conference Track
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Kevin Klyman, Matthew Jagielski, Katja Filippova, Ken Liu, Alex Chouldechova, Jamie Hayes, Yangsibo Huang, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Niloofar Mireshghallah, Abigail Jacobs, James Grimmelmann, Vitaly Shmatikov, Christopher M De Sa, I Shumailov, Andreas Terzis, Solon Barocas, Jennifer Wortman Vaughan, danah boyd, Yejin Choi, Sanmi Koyejo, Fernando Delgado, Percy Liang, Daniel Ho, Pamela Samuelson, Miles Brundage, David Bau, Seth Neel, Hanna M. Wallach, Amy Cyphert, Mark Lemley, Nicolas Papernot, Katherine Lee
Position Paper Track
BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading Jonathan Schmidt, Simon Giebenhain, Matthias Niessner
Main Conference Track
Causal Climate Emulation with Bayesian Filtering Sebastian H. M. Hickman, Ilija Trajković, Julia Kaltenborn, Francis Pelletier, Alex Archibald, Yaniv Gurwicz, Peer Nowack, David Rolnick, Julien Boussard
Main Conference Track
BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation Yujia Chen, Rui Sun, Wangkai Li, Huayu Mai, Si Chen, Zhuoyuan Li, Zhixin Cheng, Tianzhu Zhang
Main Conference Track
VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models Silin Cheng, Kai Han
Main Conference Track
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould
Main Conference Track
To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable RL Yuda Song, Dhruv Rohatgi, Aarti Singh, J. A. Bagnell
Main Conference Track
Anchored Diffusion Language Model Litu Rout, Constantine Caramanis, Sanjay Shakkottai
Main Conference Track
Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models Yue Xu, Chengyan Fu, Li Xiong, Sibei Yang, Wenjie Wang
Main Conference Track
IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization Zenghui Yang, Xingquan Zuo, Hai Huang, Gang Chen, Xinchao Zhao, Tianle Zhang
Main Conference Track
ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation Jiatong Shi, Yifan Cheng, Bo-Hao Su, Hye-jin Shim, Jinchuan Tian, Samuele Cornell, Yiwen Zhao, Siddhant Arora, Shinji Watanabe
Main Conference Track
Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers Charles London, Varun Kanade
Main Conference Track
Learning normalized image densities via dual score matching Florentin Guth, Zahra Kadkhodaie, Eero P. Simoncelli
Main Conference Track
VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations Qianqian Qiao, DanDan Zheng, Yihang Bo, Bao Peng, Heng Huang, Longteng Jiang, HuayeWang, Jingdong Chen, Jun Zhou, Xin Jin
Datasets and Benchmarks Track
Learning Interactive World Model for Object-Centric Reinforcement Learning Fan Feng, Phillip Lippe, Sara Magliacane
Main Conference Track
Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding Xiaoyi Zhang, Zhaoyang Jia, Zongyu Guo, Jiahao Li, Bin Li, Houqiang Li, Yan Lu
Main Conference Track
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents Yaxin Luo, Zhaoyi Li, Jiacheng Liu, Jiacheng Cui, Xiaohan Zhao, Zhiqiang Shen
Datasets and Benchmarks Track
MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference Wenyuan Zhang, Jimin Tang, Weiqi Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han
Main Conference Track
Private Set Union with Multiple Contributions Travis Dick, Haim Kaplan, Alex Kulesza, Uri Stemmer, Ziteng Sun, Ananda Theertha Suresh
Main Conference Track
Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models Benjamin Ramtoula, Pierre-Yves Lajoie, Paul Newman, Daniele De Martini
Main Conference Track
AdvPrefix: An Objective for Nuanced LLM Jailbreaks Sicheng Zhu, Brandon Amos, Yuandong Tian, Chuan Guo, Ivan Evtimov
Main Conference Track
Private Statistical Estimation via Truncation Manolis Zampetakis, Felix Zhou
Main Conference Track
A geometric framework for momentum-based optimizers for low-rank training Steffen Schotthöfer, Timon Klein, Jonas Kusch
Main Conference Track
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA Songqi Zhou, Zeyuan Liu, Benben Jiang
Main Conference Track
Generalization Bounds for Model-based Algorithm Configuration Zhiyang Chen, Hailong Yao, Xia Yin
Main Conference Track
PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space Jinghong Zheng, Changlong Jiang, Yang Xiao, Jiaqi Li, Haohong Kuang, Hang Xu, Ran Wang, Zhiguo Cao, Min Du, Joey Tianyi Zhou
Main Conference Track
SNAP: Low-Latency Test-Time Adaptation with Sparse Updates Hyeongheon Cha, Dong Min Kim, Hye Won Chung, Taesik Gong, Sung-Ju Lee
Main Conference Track
TAPAS: Datasets for Learning the Learning with Errors Problem Error
Datasets and Benchmarks Track
RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion Bardienus Duisterhof, Jan Oberst, Bowen Wen, Stan Birchfield, Deva Ramanan, Jeffrey Ichnowski
Main Conference Track
Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics Sean McGrath, Debarghya Mukherjee, Rajarshi Mukherjee, Zixiao Jolene Wang
Main Conference Track
Photography Perspective Composition: Towards Aesthetic Perspective Recommendation Lujian Yao, Siming Zheng, Xinbin Yuan, Zhuoxuan Cai, Pu Wu, Jinwei Chen, Bo Li, Peng-Tao Jiang
Main Conference Track
Conformal Information Pursuit for Interactively Guiding Large Language Models Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban, Hamed Hassani, Rene Vidal
Main Conference Track
Meta-learning how to Share Credit among Macro-Actions Ionel-Alexandru Hosu, Traian Rebedea, Razvan Pascanu
Main Conference Track
Multiplayer Federated Learning: Reaching Equilibrium with Less Communication TaeHo Yoon, Sayantan Choudhury, Nicolas Loizou
Main Conference Track
Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics Xiaotang Wang, Xuanwei Lin, Yun Zhu, Hao Li, Yongqi Zhang
Main Conference Track
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen
Main Conference Track
ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality Mingzhi Zhu, Ding Shang, Sai Qian Zhang
Main Conference Track
Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video Jixuan He, Chieh Lin, Lu Qi, Ming-Hsuan Yang
Main Conference Track
SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models Sen Wang, Jingyi Tian, Le Wang, Zhimin Liao, lijiayi, Huaiyi Dong, Kun Xia, Sanping Zhou, Wei Tang, Gang Hua
Main Conference Track
Neither Valid nor Reliable? Investigating the Use of LLMs as Judges Error
Position Paper Track
Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification Zhongao Zhou, Bin Yang, Wenke Huang, Jun Chen, Mang Ye
Main Conference Track
Heterogeneous Graph Transformers for Simultaneous Mobile Multi-Robot Task Allocation and Scheduling under Temporal Constraints Batuhan Altundas, Shengkang Chen, Shivika Singh, Shivangi Deo, Minwoo Cho, Matthew Gombolay
Main Conference Track
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning Jaehun Jung, Seungju Han, Ximing Lu, Skyler Hallinan, David Acuna, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi
Main Conference Track
Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG Shihao Yang, Feng Liu
Main Conference Track
Improved Scaling Laws in Linear Regression via Data Reuse Licong Lin, Jingfeng Wu, Peter L Bartlett
Main Conference Track
Learning from Demonstrations via Capability-Aware Goal Sampling Yuanlin Duan, Yuning Wang, Wenjie Qiu, He Zhu
Main Conference Track
MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, Grant Murphy, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
Datasets and Benchmarks Track
HOI-Dyn: Learning Interaction Dynamics for Human-Object Motion Diffusion Lin Wu, Zhixiang Chen, Jianglin Lan
Main Conference Track
Separating the 'what' and 'how' of compositional computation to enable reuse and continual learning Haozhe Shan, Sun Minni, Lea Duncker
Main Conference Track
Factor Decorrelation Enhanced Data Removal from Deep Predictive Models Wenhao Yang, Lin Li, Xiaohui Tao, Kaize Shi
Main Conference Track
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer Yarden As, Chengrui (Ray) Qu, Benjamin Unger, Dongho Kang, Max van der Hart, Laixi Shi, Stelian Coros, Adam Wierman, Andreas Krause
Main Conference Track
Seeing the Arrow of Time in Large Multimodal Models Zihui (Sherry) Xue, Romy Luo, Kristen Grauman
Main Conference Track
Non-equilibrium Annealed Adjoint Sampler Jaemoo Choi, Yongxin Chen, Molei Tao, Guan-Horng Liu
Main Conference Track
ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning Ruiyang Zhou, Shuozhe Li, Amy Zhang, Liu Leqi
Main Conference Track
Scaling Law with Learning Rate Annealing Howe Tissue, Venus Wang, Lu Wang
Main Conference Track
Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs Xiangcheng Zhang, Yige Hong, Weina Wang
Main Conference Track
Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model Error
Datasets and Benchmarks Track
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu
Main Conference Track
Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation Shohei Enomoto
Main Conference Track
FP4 All the Way: Fully Quantized Training of Large Language Models Brian Chmiel, Maxim Fishman, Ron Banner, Daniel Soudry
Main Conference Track
Contextual Thompson Sampling via Generation of Missing Data Kelly W Zhang, Tianhui Cai, Hongseok Namkoong, Daniel Russo
Main Conference Track
DOVTrack: Data-Efficient Open-Vocabulary Tracking Zekun Qian, Ruize Han, Zhixiang Wang, Junhui Hou, Wei Feng
Main Conference Track
High Dynamic Range Imaging with Time-Encoding Spike Camera Zhenkun Zhu, Ruiqin Xiong, Jiyu Xie, Yuanlin Wang, Xinfeng Zhang, Tiejun Huang
Main Conference Track
Learning to price with resource constraints: from full information to machine-learned prices Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi
Main Conference Track
Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution Jacob Lin, Edward Gryspeerdt, Ronald Clark
Main Conference Track
ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization Zechun Liu, Changsheng Zhao, Hanxian Huang, Sijia Chen, Jing Zhang, Jiawei Zhao, Scott Roy, Lisa Jin, Yunyang Xiong, Yangyang Shi, Lin Xiao, Yuandong Tian, Bilge Soran, Raghuraman Krishnamoorthi, Tijmen Blankevoort, Vikas Chandra
Main Conference Track
ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification Kaijun Zhou, Xingyu Yan, Xingda Wei, Xijun Li, Jinyu Gu
Main Conference Track
Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators Albert Matveev, Sanmitra Ghosh, Aamal Hussain, James-Michael Leahy, Michalis Michaelides
Main Conference Track
Inductive Domain Transfer In Misspecified Simulation-Based Inference Ortal Senouf, Antoine Wehenkel, Cédric Vincent-Cuaz, Emmanuel Abbe, Pascal Frossard
Main Conference Track
Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks Julia Nakhleh, Robert D. Nowak
Main Conference Track
SparseDiT: Token Sparsification for Efficient Diffusion Transformer Shuning Chang, Pichao WANG, Jiasheng Tang, Fan Wang, Yi Yang
Main Conference Track
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners Reiss Koh, Wonbeen Oh, Jaein Jang, MinHyung Lee, Hyeongjin Kim, Ah Kim, Joonkee Kim, Junghyun Lee, Taehyeon Kim, Se-Young Yun
Main Conference Track
TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs Yuxiang Zhang, Zhengxu Yu, Weihang Pan, Zhongming Jin, Qiang Fu, Deng Cai, Binbin Lin, Jieping Ye
Main Conference Track
Towards 3D Objectness Learning in an Open World Taichi Liu, Zhenyu Wang, Ruofeng Liu, Guang Wang, Desheng Zhang
Main Conference Track
AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation Xinbiao Wang, Yuxuan Du, Zihan Lou, Yang Qian, Kaining Zhang, Yong Luo, Bo Du, Dacheng Tao
Main Conference Track
Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo De Veciana
Main Conference Track
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity Mouïn Ben Ammar, David Brellmann, Arturo Mendoza, Antoine Manzanera, Gianni Franchi
Main Conference Track
Adaptive Discretization for Consistency Models Jiayu Bai, Zhanbo Feng, Zhijie Deng, TianQi Hou, Robert Qiu, Zenan Ling
Main Conference Track
ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay, Gabor Karsai, Abhishek Dubey
Main Conference Track
Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport Jiawei Huang, Minming Li, Hu Ding
Main Conference Track
Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers Heekang Song, Wan Choi
Main Conference Track
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift Yanru Sun, Zongxia Xie, Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu
Main Conference Track
Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints Yan Dai, Negin Golrezaei, Patrick Jaillet
Main Conference Track
Unlabeled Data Can Provably Enhance In-Context Learning of Transformers Renpu Liu, Jing Yang
Main Conference Track
Accelerating Model-Free Optimization via Averaging of Cost Samples Guido Carnevale, Giuseppe Notarstefano
Main Conference Track
Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications Error
Position Paper Track
Multi-Objective One-Shot Pruning for Large Language Models Weiyu Chen, Hansi Yang, Yunhao Gou, Han Shi, Enliang Hu, Zhenguo Li, James Kwok
Main Conference Track
Protocols for Verifying Smooth Strategies in Bandits and Games Miranda Christ, Daniel Reichman, Jonathan Shafer
Main Conference Track
Recursive Transformer: Boosting Reasoning Ability with State Stack Kechi Zhang, Ge Li, Huangzhao Zhang, Yihong Dong, Jia Li, Jingjing Xu, Zhi Jin
Main Conference Track
Smoothed Agnostic Learning of Halfspaces over the Hypercube Yiwen Kou, Raghu Meka
Main Conference Track
Simple Distillation for One-Step Diffusion Models Huaisheng Zhu, Teng Xiao, Shijie Zhou, Zhimeng Guo, Hangfan Zhang, Siyuan Xu, Vasant G Honavar
Main Conference Track
UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains Duo Wang, Yuan Zuo, Guangyue Lu, Junjie Wu
Main Conference Track
TimE: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios Shaohang Wei, Wei Li, Feifan Song, Wen Luo, Tianyi Zhuang, Haochen Tan, Zhijiang Guo, Houfeng Wang
Datasets and Benchmarks Track
Off-policy Reinforcement Learning with Model-based Exploration Augmentation Likun Wang, Xiangteng Zhang, Yinuo Wang, Guojian Zhan, Wenxuan Wang, Haoyu Gao, Jingliang Duan, Shengbo Eben Li
Main Conference Track
Per-Architecture Training-Free Metric Optimization for Neural Architecture Search Mingzhuo Lin, Jianping Luo
Main Conference Track
PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs Jaewon Chu, Seunghun Lee, Hyunwoo J. Kim
Main Conference Track
Measuring AI Ability to Complete Long Software Tasks Thomas Kwa, Ben West, Joel Becker, Amy Deng, Katharyn Garcia, Max Hasin, Sami Jawhar, Megan Kinniment, Nate Rush, Sydney Von Arx, Ryan Bloom, Thomas Broadley, Haoxing Du, Brian Goodrich, Nikola Jurkovic, Luke Miles, Seraphina Nix, Tao Lin, Neev Parikh, David Rein, Lucas Jun Koba Sato, Hjalmar Wijk, Daniel Ziegler, Elizabeth Barnes, Lawrence Chan
Main Conference Track
KLASS: KL-Guided Fast Inference in Masked Diffusion Models Seo Hyun Kim, Sunwoo Hong, Hojung Jung, Youngrok Park, Se-Young Yun
Main Conference Track
AdaLRS: Loss-Guided Adaptive Learning Rate Search for Efficient Foundation Model Pretraining Hongyuan Dong, Dingkang Yang, Xiao Liang, ChaoFeng, Ran Jiao
Main Conference Track
Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning Yinhan He, Wendy Zheng, Song Wang, Zaiyi Zheng, Yushun Dong, Yaochen Zhu, Jundong Li
Main Conference Track
RayFusion: Ray Fusion Enhanced Collaborative Visual Perception Shaohong Wang, Lu Bin, Xinyu Xiao, Hanzhi Zhong, Bowen Pang, Tong Wang, Zhiyu Xiang, Hangguan Shan, Eryun Liu
Main Conference Track
GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains Chun Wang, Xiaojun Ye, Xiaoran Pan, Zihao Pan, Haofan Wang, Yiren Song
Main Conference Track
Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models Tae-Young Lee, Juwon Seo, Jong Hwan Ko, Gyeong-Moon Park
Main Conference Track
From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models HAO SUN, Zhongyi Han, Hao Chen, Jindong Wang, Xin Gao, Yilong Yin
Main Conference Track
Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding Minseok Kang, Minhyeok Lee, Minjung Kim, Donghyeong Kim, Sangyoun Lee
Main Conference Track
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data Lingkai Kong, Haichuan Wang, Tonghan Wang, GUOJUN XIONG, Milind Tambe
Main Conference Track
NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference Shengyuan Chen, Zheng Yuan, Qinggang Zhang, Wen Hua, Jiannong Cao, Xiao Huang
Main Conference Track
DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection Yingli Shen, Wen Lai, Shuo Wang, Xueren Zhang, Kangyang Luo, Alexander Fraser, Maosong Sun
Datasets and Benchmarks Track
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders Wenyu Mao, Jiancan Wu, Guoqing Hu, Zhengyi Yang, Wei Ji, Xiang Wang
Main Conference Track
Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm Yang Xu, Swetha Ganesh, Washim Mondal, Qinbo Bai, Vaneet Aggarwal
Main Conference Track
Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games Soumita Hait, Ping Li, Haipeng Luo, Mengxiao Zhang
Main Conference Track
SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs Jinwoo Park, Seunggeun Cho, Dongsu Han
Main Conference Track
Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening Piyush Nitin Bagad, Andrew Zisserman
Main Conference Track
Precise Information Control in Long-Form Text Generation Jacqueline He, Howard Yen, Margaret Li, Stella Li, Zhiyuan Zeng, Weijia Shi, Yulia Tsvetkov, Danqi Chen, Pang Wei W Koh, Luke Zettlemoyer
Main Conference Track
Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning Yijin Ni, Xiaoming Huo
Main Conference Track
Improved Training Technique for Shortcut Models Anh Nguyen, Viet Nguyen, Duc Vu, Trung Dao, Chi Tran, Toan Tran, Anh Tran
Main Conference Track
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models Yilang Zhang, Bingcong Li, Georgios B. Giannakis
Main Conference Track
Go With the Flow: Fast Diffusion for Gaussian Mixture Models George Rapakoulias, Ali Reza Pedram, Fengjiao Liu, Lingjiong Zhu, Panagiotis Tsiotras
Main Conference Track
Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning Yuyang Deng, Samory Kpotufe
Main Conference Track
A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning Yihuan Mao, Chongjie Zhang
Main Conference Track
Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation Yangtao Zhou, Hua Chu, chen, Ziwen Wang, Jiacheng Liu, Jianan Li, Yueying Feng, Xiangming Li, Zihan Han, Qingshan Li
Main Conference Track
Scaling Up Parameter Generation: A Recurrent Diffusion Approach Kai Wang, Dongwen Tang, Wangbo Zhao, Konstantin Schürholt, Zhangyang "Atlas" Wang, Yang You
Main Conference Track
Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding Ebrahim Feghhi, Shreyas Kaasyap, Nima Hadidi, Jonathan C. Kao
Main Conference Track
Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li
Main Conference Track
You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network Yi Li, Zhichun Guo, Guanpeng Li, Bingzhe Li
Main Conference Track
VividFace: A Robost and High-Fidelity Video Face Swapping Framework Hao Shao, Shulun Wang, Yang Zhou, Guanglu Song, Dailan He, ZHUOFAN ZONG, Shuo Qin, Yu Liu, Hongsheng Li
Main Conference Track
Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect Ruiyang Lin, Yongyi Guo, Kyra Gan
Main Conference Track
Risk-Averse Total-Reward Reinforcement Learning Xihong Su, Jia Lin Hau, Gersi Doko, Kishan Panaganti, Marek Petrik
Main Conference Track
PocketSR: The Super-Resolution Expert in Your Pocket Mobiles Haoze Sun, Linfeng Jiang, Fan Li, Renjing Pei, Zhixin Wang, Yong Guo, Jiaqi Xu, Haoyu Chen, Jin Han, Fenglong Song, Yujiu Yang, Wenbo Li
Main Conference Track
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting ChengAo Shen, Wenchao Yu, Ziming Zhao, Dongjin Song, Wei Cheng, Haifeng Chen, Jingchao Ni
Main Conference Track
Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting Chuandong Liu, Huijiao Wang, Lei YU, Gui-Song Xia
Main Conference Track
Scaffolding Dexterous Manipulation with Vision-Language Models Vincent de Bakker, Joey Hejna, Tyler Lum, Onur Celik, Aleksandar Taranovic, Denis Blessing, Gerhard Neumann, Jeannette Bohg, Dorsa Sadigh
Main Conference Track
Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations Peng Lai, Jianjie Zheng, Sijie Cheng, Yun Chen, Peng Li, Yang Liu, Guanhua Chen
Main Conference Track
Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation Mingyang Liu, Xinyang Chen, Xiucheng Li, Weili Guan, Liqiang Nie
Main Conference Track
ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation Jiawen Yu, Hairuo Liu, Qiaojun Yu, Jieji Ren, Ce Hao, Haitong Ding, Guangyu Huang, Guofan Huang, Yan Song, Panpan Cai, Wenqiang Zhang, Cewu Lu
Main Conference Track
Out-of-Distribution Detection with Relative Angles Berker Demirel, Marco Fumero, Francesco Locatello
Main Conference Track
An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds Xu Shi, Rufeng Xiao, Rujun Jiang
Main Conference Track
Non-Clairvoyant Scheduling with Progress Bars Ziyad Benomar, Romain Cosson, Alexander Lindermayr, Jens Schlöter
Main Conference Track
BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks Sen Bai, Chunqi Yang, Xin Bai, Xin Zhang, Zhengang Jiang
Main Conference Track
LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models Qianyue Hao, Yiwen Song, Qingmin Liao, Jian Yuan, Yong Li
Main Conference Track
SeePhys: Does Seeing Help Thinking? – Benchmarking Vision-Based Physics Reasoning Kun Xiang, Heng Li, Terry Jingchen Zhang, Yinya Huang, Zirong Liu, Peixin Qu, Jixi He, Jiaqi Chen, Yu-Jie Yuan, Jianhua Han, Hang Xu, Hanhui Li, Mrinmaya Sachan, Xiaodan Liang
Datasets and Benchmarks Track
PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs Xinzhe Zheng, Hao Du, Fanding Xu, Jinzhe Li, ZHIYUAN LIU, Wenkang Wang, Tao Chen, Wanli Ouyang, Stan Z. Li, Yan Lu, Nanqing Dong, Yang Zhang
Datasets and Benchmarks Track
Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time Qiang Fu, Andre Wibisono
Main Conference Track
CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation Ziao Wang, Sixing Yan, Kejing Yin, Xiaofeng Zhang, William K. Cheung
Main Conference Track
Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
Main Conference Track
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations Yuhao Yang, ZhI JI, Zhaopeng Li, Yi Li, Zhonglin Mo, Yue Ding, Kai Chen, Zijian Zhang, Jie Li, shuanglong li, LIU LIN
Main Conference Track
PhysX-3D: Physical-Grounded 3D Asset Generation Ziang Cao, Zhaoxi Chen, Liang Pan, Ziwei Liu
Main Conference Track
GSAlign: Geometric and Semantic Alignment Network for Aerial-Ground Person Re-Identification Qiao Li, Jie Li, Yukang Zhang, Lei Tan, Jing Chen, Jiayi Ji
Main Conference Track
Unlearning-Aware Minimization Hoki Kim, Keonwoo Kim, Sungwon Chae, Sangwon Yoon
Main Conference Track
UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems Dian Meng, Zhiguang Cao, Jie Gao, Yaoxin Wu, Yaqing Hou
Main Conference Track
Time-Embedded Algorithm Unrolling for Computational MRI Junno Yun, Yasar Utku Alcalar, Mehmet Akcakaya
Main Conference Track
Bayesian Concept Bottleneck Models with LLM Priors Jean Feng, Avni Kothari, Lucas Zier, Chandan Singh, Yan Shuo Tan
Main Conference Track
Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization Khanh-Hung (Bruce) Giang-Tran, Soroosh Shafiee, Nam Ho-Nguyen
Main Conference Track
Flow-Based Policy for Online Reinforcement Learning Lei Lyu, Yunfei Li, Yu Luo, Fuchun Sun, Tao Kong, Jiafeng Xu, Xiao Ma
Main Conference Track
From Bytes to Ideas: Language Modeling with Autoregressive U-Nets Mathurin VIDEAU, Badr Youbi Idrissi, Alessandro Leite, Marc Schoenauer, Olivier Teytaud, David Lopez-Paz
Main Conference Track
LLM Safety Alignment is Divergence Estimation in Disguise Rajdeep Haldar, Ziyi Wang, Guang Lin, Yue XING, Qifan Song
Main Conference Track
Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs Sonia Mazelet, Rémi Flamary, Bertrand Thirion
Main Conference Track
Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints Dongjie Yang, Chengqiang Lu, Qimeng Wang, Xinbei Ma, Yan Gao, Yao Hu, Hai Zhao
Main Conference Track
A Practical Guide for Incorporating Symmetry in Diffusion Policy Dian Wang, Boce Hu, Shuran Song, Robin Walters, Robert Platt
Main Conference Track
Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More Jinwoo Lim, Suhyun Kim, Soo-Mook Moon
Main Conference Track
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations Olawale Salaudeen, Haoran Zhang, Kumail Alhamoud, Sara Beery, Marzyeh Ghassemi
Main Conference Track
GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals Jiachen Lu, Hailan Shanbhag, Haitham Al Hassanieh
Main Conference Track
Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Main Conference Track
ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism Zedong Liu, Shenggan Cheng, Guangming Tan, Yang You, Dingwen Tao
Main Conference Track
Amortized Sampling with Transferable Normalizing Flows Charlie B. Tan, Majdi Hassan, Leon Klein, Saifuddin Syed, Dominique Beaini, Michael Bronstein, Alexander Tong, Kirill Neklyudov
Main Conference Track
Interpreting Emergent Features in Deep Learning-based Side-channel Analysis Sengim Karayalcin, Marina Krček, Stjepan Picek
Main Conference Track
LLM Query Scheduling with Prefix Reuse and Latency Constraints Gregory Dexter, Shao Tang, Ata Fatahi, Qingquan Song, Tejas Dharamsi, Aman Gupta
Main Conference Track
Is Your Diffusion Model Actually Denoising? Daniel Pfrommer, Zehao Dou, Christopher Scarvelis, Max Simchowitz, Ali Jadbabaie
Main Conference Track
GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images Xiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng
Main Conference Track
PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation Ao Wang, Hui Chen, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Zijia Lin, Jungong Han, guiguang ding
Main Conference Track
Beyond Scores: Proximal Diffusion Models Zhenghan Fang, Mateo Diaz, Sam Buchanan, Jeremias Sulam
Main Conference Track
Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO Kaiyang Guo, Yinchuan Li, Zhitang Chen
Main Conference Track
Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation Yuyang Li, Wenxin Du, Chang Yu, Puhao Li, Zihang Zhao, Tengyu Liu, Chenfanfu Jiang, Yixin Zhu, Siyuan Huang
Main Conference Track
AutoJudge: Judge Decoding Without Manual Annotation Roman Garipov, Fedor Velikonivtsev, Ivan Ermakov, Ruslan Svirschevski, Vage Egiazarian, Max Ryabinin
Main Conference Track
Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go Yichuan Ma, Linyang Li, Yongkang Chen, Peiji Li, Jiasheng Ye, Qipeng Guo, Dahua Lin, Kai Chen
Main Conference Track
TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning Xudong Yan, Songhe Feng
Main Conference Track
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning Tien Manh Luong, Khai Nguyen, Dinh Phung, Reza Haffari, Lizhen Qu
Main Conference Track
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning Zhiqin Yang, Yonggang Zhang, Chenxin Li, Yiu-ming Cheung, Bo Han, Yixuan Yuan
Main Conference Track
Towards Generalizable Detector for Generated Image Qianshu Cai, Chao Wu, Yonggang Zhang, Jun Yu, Xinmei Tian
Main Conference Track
Diversity-Aware Policy Optimization for Large Language Model Reasoning Jian Yao, Ran Cheng, Xingyu Wu, Jibin Wu, KC Tan
Main Conference Track
Perception-R1: Pioneering Perception Policy with Reinforcement Learning En Yu, Kangheng Lin, Liang Zhao, jisheng yin, Yana Wei, Yuang Peng, Haoran Wei, Jianjian Sun, Chunrui Han, Zheng Ge, Xiangyu Zhang, Daxin Jiang, Jingyu Wang, Wenbing Tao
Main Conference Track
Statistical Guarantees for High-Dimensional Stochastic Gradient Descent Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber, Wei Biao Wu
Main Conference Track
GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters Wanjia Zhao, Jiaqi Han, Siyi Gu, Mingjian Jiang, James Y Zou, Stefano Ermon
Main Conference Track
CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching Chen Chen, Pengsheng Guo, Liangchen Song, Jiasen Lu, Rui Qian, Tsu-Jui Fu, Xinze Wang, Wei Liu, Yinfei Yang, Alex Schwing
Main Conference Track
FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models Jintao Tong, Wenwei Jin, Pengda Qin, Anqi Li, Yixiong Zou, Yuhong Li, Yuhua Li, Ruixuan Li
Main Conference Track
URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model Zhe Li, Xiang Bai, Jieyu Zhang, Zhuangzhe Wu, Che Xu, Ying Li, Chengkai Hou, Shanghang Zhang
Main Conference Track
Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time Francesco Bacchiocchi, Matteo Castiglioni, Roberto Colomboni, Alberto Marchesi
Main Conference Track
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models Byeonghu Na, Minsang Park, Gyuwon Sim, Donghyeok Shin, HeeSun Bae, Mina Kang, Se Jung Kwon, Wanmo Kang, Il-chul Moon
Main Conference Track
Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings Erel Naor, Ofir Lindenbaum
Main Conference Track
When Data Can't Meet: Estimating Correlation Across Privacy Barriers Abhinav Chakraborty, Arnab Auddy, T. Tony Cai
Main Conference Track
Locality in Image Diffusion Models Emerges from Data Statistics Artem Lukoianov, Chenyang Yuan, Justin M Solomon, Vincent Sitzmann
Main Conference Track
ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents Zhenyu Zhang, Tianyi Chen, Weiran Xu, Alex Pentland, Jiaxin Pei
Main Conference Track
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning Senqiao Yang, Junyi Li, Xin Lai, Jinming Wu, Wei Li, Zejun MA, Bei Yu, Hengshuang Zhao, Jiaya Jia
Main Conference Track
Test-Time Adaptive Object Detection with Foundation Model Yingjie Gao, Yanan Zhang, Zhi Cai, Di Huang
Main Conference Track
Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data Hancheng Min, Zhihui Zhu, Rene Vidal
Main Conference Track
Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game Tingting Dan, Zhihao Fan, Guorong Wu
Main Conference Track
A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers Will Merrill, Ashish Sabharwal
Main Conference Track
SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought Guanghao Li, Wenhao Jiang, Mingfeng Chen, Yan Li, Hao Yu, Shuting Dong, Tao Ren, Ming Tang, Chun Yuan
Main Conference Track
NavBench: Probing Multimodal Large Language Models for Embodied Navigation Yanyuan Qiao, Haodong Hong, Wenqi Lyu, Dong An, Siqi Zhang, Yutong Xie, Xinyu Wang, Qi Wu
Main Conference Track
AION-1: Omnimodal Foundation Model for Astronomical Sciences Liam H. Parker, Francois Lanusse, Jeff Shen, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Pierre Cornette, Keiya Hirashima, Geraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Kyunghyun Cho, Miles Cranmer, Shirley Ho
Main Conference Track
Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models Luca Eyring, Shyamgopal Karthik, Alexey Dosovitskiy, Nataniel Ruiz, Zeynep Akata
Main Conference Track
Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities Mayank Jobanputra, Yana Veitsman, Yash Sarrof, Aleksandra Bakalova, Vera Demberg, Ellie Pavlick, Michael Hahn
Main Conference Track
CoRe: Benchmarking LLMs’ Code Reasoning Capabilities through Static Analysis Tasks Danning Xie, Mingwei Zheng, Xuwei Liu, Jiannan Wang, Chengpeng Wang, Lin Tan, Xiangyu Zhang
Datasets and Benchmarks Track
MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image Reasoning Error
Datasets and Benchmarks Track
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gokcen Eraslan, Surag Nair, Tommaso Biancalani, Shuiwang Ji, Aviv Regev, Sergey Levine, Masatoshi Uehara
Main Conference Track
MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver yuepeng zheng, Fu Luo, Zhenkun Wang, Yaoxin Wu, Yu Zhou
Main Conference Track
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion Sungho Koh, SeungJu Cha, Hyunwoo Oh, Kwanyoung Lee, Dong-Jin Kim
Main Conference Track
VideoVLA: Video Generators Can Be Generalizable Robot Manipulators Yichao Shen, Fangyun Wei, Zhiying Du, Yaobo Liang, Yan Lu, Jiaolong Yang, Nanning Zheng, Baining Guo
Main Conference Track
STSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex Error
Datasets and Benchmarks Track
Physics-informed Neural Operator for Pansharpening Xinyang Liu, Junming Hou, Chenxu Wu, Xiaofeng Cong, zihao chen, Shangqi Deng, Junling Li, Liang-Jian Deng, Bo Liu
Main Conference Track
Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need? Junchi Yu, Yujie Liu, Jindong Gu, Philip H.S. Torr, Dongzhan Zhou
Main Conference Track
GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents Yuqi Zhou, Sunhao Dai, Shuai Wang, Kaiwen Zhou, Qinglin Jia, Jun Xu
Main Conference Track
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot, Serge Belongie, Zeynep Akata
Main Conference Track
TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs Parjanya Prashant, Kaustubh Ponkshe, Babak Salimi
Main Conference Track
Random Forest Autoencoders for Guided Representation Learning Adrien Aumon, Shuang Ni, Myriam Lizotte, Guy Wolf, Kevin J. Moon, Jake Rhodes
Main Conference Track
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park
Main Conference Track
Looking Into the Water by Unsupervised Learning of the Surface Shape Ori Lifschitz, Tali Treibitz, Dan Rosenbaum
Main Conference Track
An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models Binxu Wang, Cengiz Pehlevan
Main Conference Track
Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms Alicia Zeng, Jack Gallant
Main Conference Track
HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis Heyuan Li, Kenkun Liu, Lingteng Qiu, Qi Zuo, Keru Zheng, Zilong Dong, Xiaoguang Han
Main Conference Track
Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features Zixuan Xie, Xinyu Liu, Rohan Chandra, Shangtong Zhang
Main Conference Track
Taxonomy of reduction matrices for Graph Coarsening Antonin Joly, Nicolas Keriven, Aline Roumy
Main Conference Track
Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought ZIhui Cheng, Qiguang Chen, Xiao Xu, Jiaqi Wang, Weiyun Wang, Hao Fei, Yidong Wang, Alex Jinpeng Wang, Zhi Chen, Wanxiang Che, Libo Qin
Main Conference Track
On the Edge of Memorization in Diffusion Models Sam Buchanan, Druv Pai, Yi Ma, Valentin De Bortoli
Main Conference Track
UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems Tingzhu Bi, Yicheng Pan, Xinrui Jiang, Huize Sun, Meng Ma, Ping Wang
Main Conference Track
Privacy amplification by random allocation Moshe Shenfeld, Vitaly Feldman
Main Conference Track
Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos Weifeng Lin, Xinyu Wei, Ruichuan An, Tianhe Ren, Tingwei Chen, Renrui Zhang, Ziyu Guo, Wentao Zhang, Lei Zhang, Hongsheng Li
Main Conference Track
Adaptive Data Analysis for Growing Data Neil Marchant, Benjamin I.P. Rubinstein
Main Conference Track
InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras Erich Liang, Roma Bhattacharjee, Sreemanti Dey, Rafael Moschopoulos, Caitlin Wang, Michel Liao, Grace Tan, Andrew Wang, Karhan Kayan, Stamatis Alexandropoulos, Jia Deng
Datasets and Benchmarks Track
A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models Joshua Tian Jin Tee, Hee Suk Yoon, Abu Hanif Muhammad Syarubany, Eunseop Yoon, Chang D. Yoo
Main Conference Track
Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws Lin Guo, Xiaoqing Luo, Wei Xie, Zhancheng Zhang, Hui Li, Rui Wang, Zhenhua Feng, Xiaoning Song
Main Conference Track
Learning Dynamics of RNNs in Closed-Loop Environments Yoav Ger, Omri Barak
Main Conference Track
SPRINT: Enabling Interleaved Planning and Parallelized Execution in Reasoning Models Emil Biju, Shayan Talaei, Zhemin Huang, Mohammadreza Pourreza, Azalia Mirhoseini, Amin Saberi
Main Conference Track
The Impact of Coreset Selection on Spurious Correlations and Group Robustness Error
Datasets and Benchmarks Track
VITA-Audio: Fast Interleaved Audio-Text Token Generation for Efficient Large Speech-Language Model Zuwei Long, Yunhang Shen, Chaoyou Fu, Heting Gao, Lijiang Li, Peixian Chen, Mengdan Zhang, Hang Shao, Jian Li, Jinlong Peng, Haoyu Cao, Ke Li, Rongrong Ji, Xing Sun
Main Conference Track
PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Yan Wu, Esther Wershof, Sebastian Schmon, Marcel Nassar, Błażej Osiński, Ridvan Eksi, Zichao Yan, Rory Stark, Kun Zhang, Thore Graepel
Datasets and Benchmarks Track
Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization Arie Soeteman, Balder ten Cate
Main Conference Track
FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering Liangyu Zhong, Fabio Philipp Rosenthal, Joachim Sicking, Fabian Hüger, Thorsten Bagdonat, Hanno Gottschalk, Leo Schwinn
Main Conference Track
Scalable Policy-Based RL Algorithms for POMDPs Ameya Anjarlekar, S. Rasoul Etesami, R. Srikant
Main Conference Track
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation Sangmin Bae, Yujin Kim, Reza Bayat, Sungnyun Kim, Jiyoun Ha, Tal Schuster, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Aaron C. Courville, Se-Young Yun
Main Conference Track
EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition Error
Datasets and Benchmarks Track
PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching WANG Yun, Junjie Hu, Qiaole Dong, Yongjian Zhang, Yanwei Fu, Tin Lun Lam, Dapeng Wu
Main Conference Track
U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching Junsheng Zhou, XingYu Shi, Haichuan Song, Yi Fang, Yu-Shen Liu, Zhizhong Han
Main Conference Track
Stable Matching with Ties: Approximation Ratios and Learning Shiyun Lin, Simon Mauras, Nadav Merlis, Vianney Perchet
Main Conference Track
Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls Yihong Luo, Shuchen Xue, Tianyang Hu, Jing Tang
Main Conference Track
BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning Xuechen Zhang, Zijian Huang, Yingcong Li, Chenshun Ni, Jiasi Chen, Samet Oymak
Main Conference Track
Training the Untrainable: Introducing Inductive Bias via Representational Alignment Vighnesh Subramaniam, David Mayo, Colin Conwell, Tomaso A Poggio, Boris Katz, Brian Cheung, Andrei Barbu
Main Conference Track
Quantifying Uncertainty in the Presence of Distribution Shifts Yuli Slavutsky, David Blei
Main Conference Track
HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis Xiaoyuan Wang, Yizhou Zhao, Botao Ye, Shan Xiaojun, Weijie Lyu, Lu Qi, Kelvin Chan, Yinxiao Li, Ming-Hsuan Yang
Main Conference Track
SWE-smith: Scaling Data for Software Engineering Agents Error
Datasets and Benchmarks Track
Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark Jinyuan Liu, Zihang Chen, Zhu Liu, Zhiying Jiang, Long Ma, Xin Fan, Risheng Liu
Main Conference Track
Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification Hossein Jafarinia, Danial Hamdi, Amirhossein Alamdar, Elahe Zahiri, Soroush Vafaie Tabar, Alireza Alipanah, Nahal Mirzaie, Saeed Razavi, Amir Najafi, Mohammad Hossein Rohban
Main Conference Track
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization Shogo Iwazaki
Main Conference Track
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li, Jintao Zhang, Han Cai, Yujun Lin, Xiuyu Li, Chenfeng Xu, Kelly Peng, Jianfei Chen, Song Han, Kurt Keutzer, Ion Stoica
Main Conference Track
Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection Min Wang, Hao Yang, Qing Cheng, Jincai Huang
Main Conference Track
RAPID Hand: Robust, Affordable, Perception-Integrated, Dexterous Manipulation Platform for Embodied Intelligence Zhaoliang Wan, Zetong Bi, Zida Zhou, Hao Ren, Yiming Zeng, Yihan Li, Lu Qi, Xu Yang, Ming-Hsuan Yang, Hui Cheng
Main Conference Track
Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes WEI-KAI CHANG, Rajiv Khanna
Main Conference Track
SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications Jinyang Li, Xiaolong Li, Ge Qu, Per Jacobsson, Bowen Qin, Binyuan Hui, Shuzheng Si, Nan Huo, Xiaohan Xu, Yue Zhang, Ziwei Tang, Yuanshuai Li, Florensia Widjaja, Xintong Zhu, Feige Zhou, Yongfeng Huang, Yannis Papakonstantinou, Fatma Ozcan, Ma Chenhao, Reynold Cheng
Main Conference Track
What Can RL Bring to VLA Generalization? An Empirical Study Jijia Liu, Feng Gao, Bingwen Wei, Xinlei Chen, Qingmin Liao, YI WU, Chao Yu, Yu Wang
Main Conference Track
CPO: Condition Preference Optimization for Controllable Image Generation Zonglin Lyu, Ming Li, Xinxin Liu, Chen Chen
Main Conference Track
Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, Jose Hernandez-Orallo, Aylin Caliskan, Jindong Wang
Main Conference Track
MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference Wenxuan Zeng, Ye Dong, Jinjin Zhou, Jin Tan, Lei Wang, Tao Wei, Runsheng Wang, Meng Li
Main Conference Track
How many measurements are enough? Bayesian recovery in inverse problems with general distributions Ben Adcock, Zi Yuan (Nick) Huang
Main Conference Track
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning Ling Fu, Zhebin Kuang, Jiajun Song, Mingxin Huang, Biao Yang, Yuzhe Li, Linghao Zhu, Qidi Luo, Xinyu Wang, Hao Lu, Zhang Li, Guozhi Tang, Bin Shan, Chunhui Lin, Qi Liu, Binghong Wu, Hao Feng, Hao Liu, Can Huang, Jingqun Tang, Wei Chen, Lianwen Jin, Yuliang Liu, Xiang Bai
Datasets and Benchmarks Track
Scaling Laws For Scalable Oversight Joshua Engels, David Baek, Subhash Kantamneni, Max Tegmark
Main Conference Track
RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Yan Gong, Yiren Song, Yicheng Li, Chenglin Li, Yin Zhang
Main Conference Track
Continuous Diffusion Model for Language Modeling Jaehyeong Jo, Sung Ju Hwang
Main Conference Track
Unsupervised Federated Graph Learning Lele Fu, Tianchi Liao, Sheng Huang, Bowen Deng, zhangchuanfu, Shirui Pan, Chuan Chen
Main Conference Track
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking Chen-Hao (Lance) Chao, Wei-Fang Sun, Hanwen Liang, Chun-Yi Lee, Rahul G Krishnan
Main Conference Track
Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards Kyungjae Lee, Dohyeong Kim, Taehyun Cho, Chaeyeon Kim, Yunkyung Ko, Seungyub Han, Seokhun Ju, Dohyeok Lee, Sungbin Lim
Main Conference Track
Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining Mikey Shechter, Yair Carmon
Main Conference Track
UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights Shijun Liang, Ismail Alkhouri, Siddhant Gautam, Qing Qu, Saiprasad Ravishankar
Main Conference Track
Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection Gongzhe Li, Linwei Qiu, Peibei Cao, Fengying Xie, Xiangyang Ji, Qilin Sun
Main Conference Track
HOComp: Interaction-Aware Human-Object Composition Dong Liang, Jinyuan Jia, Yuhao LIU, Rynson Lau
Main Conference Track
Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms William Réveillard, Richard Combes
Main Conference Track
Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning Wenchang Duan, Yaoliang Yu, Jiwan He, Yi Shi
Main Conference Track
Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Mahesh Chandran
Main Conference Track
Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning Till Freihaut, Luca Viano, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
Main Conference Track
HMVLM:Human Motion-Vision-Language Model via MoE LoRA Lei Hu, Yongjing Ye, Shihong Xia
Main Conference Track
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models Louis Bethune, David Vigouroux, Yilun Du, Rufin VanRullen, Thomas Serre, Victor Boutin
Main Conference Track
Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation Szymon Płotka, Gizem Mert, Maciej Chrabaszcz, Ewa Szczurek, Arkadiusz Sitek
Main Conference Track
ViewCraft3D: High-fidelity and View-Consistent 3D Vector Graphics Synthesis Chuang Wang, Haitao Zhou, Ling Luo, Qian Yu
Main Conference Track
Size-adaptive Hypothesis Testing for Fairness Antonio Ferrara, Francesco Cozzi, Alan Perotti, André Panisson, Francesco Bonchi
Main Conference Track
Interactive Cross-modal Learning for Text-3D Scene Retrieval Yanglin Feng, Yongxiang Li, Yuan Sun, Yang Qin, Dezhong Peng, Peng Hu
Main Conference Track
Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP Shohei Ohsawa
Main Conference Track
Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies Runze Yan, Xun Shen, Akifumi Wachi, Sebastien Gros, Anni Zhao, Xiao Hu
Main Conference Track
Fast-in-Slow: A Dual-System VLA Model Unifying Fast Manipulation within Slow Reasoning Hao Chen, Jiaming Liu, Chenyang Gu, Zhuoyang Liu, Renrui Zhang, Xiaoqi Li, Xiao He, Yandong Guo, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng
Main Conference Track
Selective Learning for Deep Time Series Forecasting Yisong Fu, Zezhi Shao, Chengqing Yu, Yujie Li, Zhulin An, Qi (Cheems) Wang, Yongjun Xu, Fei Wang
Main Conference Track
Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment Hua Ye, Hang Ding, Siyuan Chen, Yiyang Jiang, changyuan zhang, Xuan Zhang
Main Conference Track
A Closed-Form Solution for Fast and Reliable Adaptive Testing Yan Zhuang, Chenye Ke, Zirui Liu, Qi Liu, Yuting Ning, Zhenya Huang, Weizhe Huang, Qingyang Mao, Shijin Wang
Main Conference Track
AlignedGen: Aligning Style Across Generated Images Jiexuan Zhang, Yiheng Du, Qian Wang, Weiqi Li, Yu Gu, Jian Jun Zhang
Main Conference Track
MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
Main Conference Track
Formal Models of Active Learning from Contrastive Examples Farnam Mansouri, Hans Simon, Adish Singla, Yuxin Chen, Sandra Zilles
Main Conference Track
Learning CAD Modeling Sequences via Projection and Part Awareness Yang Liu, Daxuan Ren, Yijie Ding, Jianmin Zheng, Fang Deng
Main Conference Track
Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning Torben Berndt, Benjamin Walker, Tiexin Qin, Jan Stühmer, Andrey Kormilitzin
Main Conference Track
Limitations of Normalization in Attention Timur Mudarisov, Mikhail Burtsev, Tatiana Petrova, Radu State
Main Conference Track
SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction Yixiao Zhou, Xiaoqing Lyu, Hongxiang Lin, Huiying Hu, Tuo Wang
Main Conference Track
Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs Sian-Yao Huang, Li-Hsien Chang, Che-Yu Lin, Cheng-Lin Yang
Main Conference Track
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zhen Li, Xianfeng Tang, Qi He, Suhang Wang
Main Conference Track
PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference Jiarui Fang, Jinzhe Pan, Aoyu Li, Xibo Sun, WANG Jiannan
Main Conference Track
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation Uzair Akbar, Niki Kilbertus, Hao Shen, Krikamol Muandet, Bo Dai
Main Conference Track
Information-Driven Design of Imaging Systems Henry Pinkard, Leyla Kabuli, Eric Markley, Tiffany Chien, Jiantao Jiao, Laura Waller
Main Conference Track
BNMusic: Blending Environmental Noises into Personalized Music Chi Zuo, Martin Møller, Pablo Martínez-Nuevo, Huayang Huang, Yu Wu, Ye Zhu
Main Conference Track
DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization Error
Datasets and Benchmarks Track
FFN Fusion: Rethinking Sequential Computation in Large Language Models Akhiad Bercovich, Mohammed Dabbah, Omri Puny, Ido Galil, Amnon Geifman, Yonatan Geifman, Izik Golan, Ehud Karpas, Itay Levy, Zach Moshe, Najeeb Nabwani, Tomer Ronen, Itamar Schen, Ido Shahaf, Oren Tropp, Ran Zilberstein, Ran El-Yaniv
Main Conference Track
Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms Baran Hashemi, Kurt Pasque, Chris Teska, Ruriko Yoshida
Main Conference Track
MIRA: Medical Time Series Foundation Model for Real-World Health Data Hao Li, Bowen Deng, Chang Xu, ZhiYuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian
Main Conference Track
Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
Main Conference Track
Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization Yusu Hong, Junhong Lin
Main Conference Track
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge Cuong Dao, The Hung Tran, Phi Le Nguyen, Truong Thao Nguyen, Nghia Hoang
Main Conference Track
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework Thomson Yen, Andrew Siah, Haozhe Chen, C. Guetta, Tianyi Peng, Hongseok Namkoong
Main Conference Track
IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants Error
Datasets and Benchmarks Track
A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations Kyra Kadhim, Jonas Beck, Ziwei Huang, Jakob H Macke, Fred Rieke, Thomas Euler, Michael Deistler, Philipp Berens
Main Conference Track
The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition Shuai Yuan, Xingshuo Han, Hongwei Li, Guowen Xu, Wenbo Jiang, Tao Ni, Qingchuan Zhao, Yuguang Fang
Main Conference Track
Structural Causal Bandits under Markov Equivalence Min Woo Park, Andy Arditi, Elias Bareinboim, Sanghack Lee
Main Conference Track
The Rise of Parameter Specialization for Knowledge Storage in Large Language Models Yihuai Hong, Yiran Zhao, Wei Tang, Yang Deng, Yu Rong, Wenxuan Zhang
Main Conference Track
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11) Tianyi Zhang, Mohsen Hariri, Shaochen (Henry) Zhong, Vipin Chaudhary, Yang Sui, Xia Hu, Anshumali Shrivastava
Main Conference Track
Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings Ian Christopher Tanoh, Michael Deistler, Jakob H Macke, Scott Linderman
Main Conference Track
Improving Decision Trees through the Lens of Parameterized Local Search Juha Harviainen, Frank Sommer, Manuel Sorge
Main Conference Track
FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network Fangtong Sun, Congyu Li, Ke Yang, Yuchen Pan, Hanwen Yu, Xichuan Zhang, Yiying Li
Main Conference Track
Video-R1: Reinforcing Video Reasoning in MLLMs Kaituo Feng, Kaixiong Gong, Bohao Li, Zonghao Guo, Yibing Wang, Tianshuo Peng, Junfei Wu, Xiaoying Zhang, Benyou Wang, Xiangyu Yue
Main Conference Track
Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting Chenchen Tan, Youyang Qu, Xinghao Li, Hui Zhang, Shujie Cui, Cunjian Chen, Longxiang Gao
Main Conference Track
InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback Boyuan Chen, Donghai Hong, Jiaming Ji, Jiacheng Zheng, Bowen Dong, Jiayi Zhou, Kaile Wang, Juntao Dai, Xuyao Wang, wenqi chen, Qirui Zheng, Wenxin Li, Sirui Han, Yike Guo, Yaodong Yang
Datasets and Benchmarks Track
MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation Weisen Jiang, Sinno Jialin Pan
Main Conference Track
NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models Luca Ghafourpour, Valentin Duruisseaux, Bahareh Tolooshams, Philip Wong, Costas Anastassiou, Animashree Anandkumar
Main Conference Track
Wasserstein Transfer Learning Kaicheng Zhang, Sinian Zhang, Doudou Zhou, Yidong Zhou
Main Conference Track
JAFAR: Jack up Any Feature at Any Resolution Paul Couairon, Loick Chambon, Louis Serrano, Jean-Emmanuel HAUGEARD, Matthieu Cord, Nicolas THOME
Main Conference Track
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation Edward Fish, Richard Bowden
Main Conference Track
LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language Error
Datasets and Benchmarks Track
Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning Tuan Dam
Main Conference Track
Training-free Online Video Step Grounding Luca Zanella, Massimiliano Mancini, Yiming Wang, Alessio Tonioni, Elisa Ricci
Main Conference Track
GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data Error
Datasets and Benchmarks Track
HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery Vaibhav Rathore, Divyam Gupta, Biplab Banerjee
Main Conference Track
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling Nguyen Phuc, Ngoc-Hieu Nguyen, Duy M. H. Nguyen, Anji Liu, An Mai, Thanh Binh Nguyen, Daniel Sonntag, Khoa D Doan
Main Conference Track
Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency Renzhao Liang, Sizhe Xu, Chenggang Xie, Jingru Chen, Feiyang Ren, Shu Yang, Takahiro Yabe
Main Conference Track
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context Vinam Arora, Divyansha Lachi, Ian Knight, Mehdi Azabou, Blake A. Richards, Cole Hurwitz, Joshua H Siegle, Eva L Dyer
Main Conference Track
On Union-Closedness of Language Generation Steve Hanneke, Amin Karbasi, Anay Mehrotra, Grigoris Velegkas
Main Conference Track
Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models Samuel Lavoie, Michael Noukhovitch, Aaron C. Courville
Main Conference Track
Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing Jinhua Yin, Peiru Yang, Chen Yang, Huili Wang, Zhiyang Hu, Shangguang Wang, Yongfeng Huang, Tao Qi
Main Conference Track
Salient Concept-Aware Generative Data Augmentation Tianchen Zhao, Xuanbai Chen, Zhihua Li, Jun Fang, DONGSHENG An, Xiang Xu, Zhuowen Tu, Yifan Xing
Main Conference Track
BitMark: Watermarking Bitwise Autoregressive Image Generative Models Louis Kerner, Michel Meintz, Bihe Zhao, Franziska Boenisch, Adam Dziedzic
Main Conference Track
SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment Wonje Jeung, Yoon Sangyeon, Minsuk Kahng, Albert No
Main Conference Track
Strategic Costs of Perceived Bias in Fair Selection L. Elisa Celis, Lingxiao Huang, Milind Sohoni, Nisheeth K. Vishnoi
Main Conference Track
Parsimonious Predictions for Strategyproof Scheduling Richard Cole, Anupam Gupta, Pranav Jangir
Main Conference Track
3DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization Yuze Hao, Linchao Zhu, Yi Yang
Main Conference Track
From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning Eric Zhao, Pranjal Awasthi, Nika Haghtalab
Main Conference Track
Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism Ziyang Zheng, Kezhi Li, Zhengyuan Shi, Qiang Xu
Main Conference Track
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning Hongjoon Ahn, Heewoong Choi, Jisu Han, Taesup Moon
Main Conference Track
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis Enze Shi, Pankaj Bhagwat, Zhixian Yang, Linglong Kong, Bei Jiang
Main Conference Track
Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
Main Conference Track
Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks Anushri Arora, Jonathan Pillow
Main Conference Track
SnapMoGen: Human Motion Generation from Expressive Texts chuan guo, Inwoo Hwang, Jian Wang, Bing Zhou
Main Conference Track
One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models Viacheslav Surkov, Chris Wendler, Antonio Mari, Mikhail Terekhov, Justin Deschenaux, Robert West, Caglar Gulcehre, David Bau
Main Conference Track
SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen
Main Conference Track
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models Chenhang Cui, Gelei Deng, An Zhang, jingnan zheng, Yicong Li, Lianli Gao, Tianwei Zhang, Tat-Seng Chua
Main Conference Track
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free Zihan Qiu, Zekun Wang, Bo Zheng, Zeyu Huang, Kaiyue Wen, Songlin Yang, Rui Men, Le Yu, Fei Huang, Suozhi Huang, Dayiheng Liu, Jingren Zhou, Junyang Lin
Main Conference Track
Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search Yousef Al-Jazzazi, Haya Diwan, Jinrui Gou, Cameron Musco, Christopher Musco, Torsten Suel
Main Conference Track
VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory Young-Jae Park, Minseok Seo, Hae-Gon Jeon
Main Conference Track
EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution Zhebei Shen, Qifan Yu, Juncheng Li, Wei Ji, Qizhi Chen, Siliang Tang, Yueting Zhuang
Main Conference Track
Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation Hanchen Su, Xuyuan Li, Yan Zhou, zhuoyi lu, Ziwei Chai, Haozheng Wang, Chen Zhang, YANG YANG
Main Conference Track
BlockScan: Detecting Anomalies in Blockchain Transactions Jiahao Yu, Xian Wu, Hao Liu, Wenbo Guo, Xinyu Xing
Main Conference Track
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning Haomiao Qiu, Miao Zhang, Ziyue Qiao, Liqiang Nie
Main Conference Track
CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop Weijian Ma, Shizhao Sun, Ruiyu Wang, Jiang Bian
Main Conference Track
Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki, Kanthashree Mysore Sathyendra, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati
Main Conference Track
Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration Ahmed Khaled, Satyen Kale, Arthur Douillard, Chi Jin, Rob Fergus, Manzil Zaheer
Main Conference Track
Sheetpedia: A 300K-Spreadsheet Corpus for Spreadsheet Intelligence and LLM Fine-Tuning Error
Datasets and Benchmarks Track
ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation Pengcheng Huang, Zhenghao Liu, Yukun Yan, Haiyan Zhao, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong
Main Conference Track
Optimal kernel regression bounds under energy-bounded noise Amon Lahr, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger
Main Conference Track
AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios Error
Datasets and Benchmarks Track
Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track Error
Position Paper Track
Test3R: Learning to Reconstruct 3D at Test Time Yuheng Yuan, Qiuhong Shen, Shizun Wang, Xingyi Yang, Xinchao Wang
Main Conference Track
SeniorTalk: A Chinese Conversation Dataset with Rich Annotations for Super-Aged Seniors chen yang, Hui Wang, Shiyao Wang, Junyang Chen, Jiabei He, Jiaming Zhou, Xi Yang, Yequan Wang, Yonghua Lin, Yong Qin
Datasets and Benchmarks Track
Neural-Driven Image Editing Pengfei Zhou, Jie Xia, Xiaopeng Peng, Wangbo Zhao, Zilong Ye, Zekai Li, Suorong Yang, Jiadong Pan, Yuanxiang Chen, Ziqiao Wang, Kai Wang, Qian Zheng, Xiaojun Chang, Gang Pan, Shurong Dong, Kaipeng Zhang, Yang You
Main Conference Track
CSGO: Content-Style Composition in Text-to-Image Generation Peng Xing, Haofan Wang, Yanpeng Sun, wangqixun, Baixu, Hao Ai, Jen-Yuan Huang, Zechao Li
Main Conference Track
Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks Fengmao Lyu, Jitong Lei, Guosheng Lin, Desheng ZHENG, Jianyang Zhang, Tianrui Li
Main Conference Track
Homogeneous Algorithms Can Reduce Competition in Personalized Pricing Nathanael Jo, Ashia C Wilson, Kathleen Creel, Manish Raghavan
Main Conference Track
Constrained Best Arm Identification Tyron Lardy, Christina Katsimerou, Wouter M. Koolen
Main Conference Track
Efficient Last-Iterate Convergence in Solving Extensive-Form Games Linjian Meng, Tianpei Yang, Youzhi Zhang, Zhenxing Ge, Shangdong Yang, Tianyu Ding, Wenbin Li, Bo An, Yang Gao
Main Conference Track
FlashMoE: Fast Distributed MoE in a Single Kernel Osayamen Aimuyo, Byungsoo Oh, Rachee Singh
Main Conference Track
Robust learning of halfspaces under log-concave marginals Jane Lange, Arsen Vasilyan
Main Conference Track
Progress Reward Model for Reinforcement Learning via Large Language Models Xiuhui Zhang, Ning Gao, Xingyu Jiang, Yihui Chen, Yuheng Pan, Mohan Zhang, Yue Deng
Main Conference Track
Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation Xinyu Yang, Yuwei An, Hongyi Liu, Tianqi Chen, Beidi Chen
Main Conference Track
Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding Xiaoqian Shen, Wenxuan Zhang, Jun Chen, Mohamed Elhoseiny
Main Conference Track
Gaussian-Augmented Physics Simulation and System Identification with Complex Colliders Federico Vasile, Ri-Zhao Qiu, Lorenzo Natale, Xiaolong Wang
Main Conference Track
MergeBench: A Benchmark for Merging Domain-Specialized LLMs Yifei He, Siqi Zeng, Yuzheng Hu, Rui Yang, Tong Zhang, Han Zhao
Datasets and Benchmarks Track
RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis YANG SONGXIAO, Haolin Wang, Yao Fu, Ye Tian, Tamostu Kamishima, Masayuki Ikebe, Yafei Ou, Masatoshi Okutomi
Datasets and Benchmarks Track
4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming Zihan Zheng, Zhenlong Wu, Houqiang Zhong, Yuan Tian, Ning Cao, Lan Xu, Jiangchao Yao, Xiaoyun Zhang, Qiang Hu, Wenjun Zhang
Main Conference Track
A Markov Decision Process for Variable Selection in Branch & Bound Paul STRANG, Zacharie ALES, Côme Bissuel, Olivier JUAN, Safia Kedad-Sidhoum, Emmanuel Rachelson
Main Conference Track
FORLA: Federated Object-Centric Representation Learning with Slot Attention Guiqiu Liao, Matjaz Jogan, Eric Eaton, Daniel Hashimoto
Main Conference Track
Backdoor Mitigation via Invertible Pruning Masks Kealan Dunnett, Reza Arablouei, Volkan Dedeoglu, Dimity Miller, Raja Jurdak
Main Conference Track
SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Junteng Liu, Yuanxiang Fan, Jiang Zhuo, Han Ding, Yongyi Hu, Chi Zhang, Yiqi Shi, Shitong Weng, Aili Chen, Shiqi Chen, Mozhi Zhang, Pengyu Zhao, Junxian He
Main Conference Track
$\texttt{BetaConform}$: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tianlong Chen
Main Conference Track
Epistemic Uncertainty for Generated Image Detection Jun Nie, Yonggang Zhang, Tongliang Liu, Yiu-ming Cheung, Bo Han, Xinmei Tian
Main Conference Track
LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models Hao Sun, Huailiang Peng, Qiong Dai, Xu Bai, Yanan Cao
Main Conference Track
Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization Jinyong Jeong, Hyungu Kahng, Seoung Bum Kim
Main Conference Track
KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity Gholamali Aminian, Amir R. Asadi, Idan Shenfeld, Youssef Mroueh
Main Conference Track
Efficient Representativeness-Aware Coreset Selection Zihao Cheng, Binrui Wu, Zhiwei Li, Yuesen Liao, Su Zhao, Shuai Chen, Yuan Gao, Weizhong Zhang
Main Conference Track
Risk Management for Mitigating Benchmark Failure Modes: BenchRisk Error
Datasets and Benchmarks Track
Reverse Engineering Human Preferences with Reinforcement Learning Lisa Alazraki, Yi-Chern Tan, Jon Ander Campos, Maximilian Mozes, Marek Rei, Max Bartolo
Main Conference Track
Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules Binghui Li, Fengling Chen, Zixun Huang, Lean Wang, Lei Wu
Main Conference Track
Re-coding for Uncertainties: Edge-awareness Semantic Concordance for Resilient Event-RGB Segmentation Nan Bao, Yifan Zhao, Lin Zhu, Jia Li
Main Conference Track
UAV-Flow Colosseo: A Real-World Benchmark for Flying-on-a-Word UAV Imitation Learning Xiangyu Wang, Donglin Yang, Yue Liao, Wenhao Zheng, wenjun wu, Bin Dai, Hongsheng Li, Si Liu
Datasets and Benchmarks Track
Policy Optimized Text-to-Image Pipeline Design Uri Gadot, Rinon Gal, Yftah Ziser, Gal Chechik, Shie Mannor
Main Conference Track
Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning Dravyansh Sharma, Alec Sun
Main Conference Track
UFT: Unifying Supervised and Reinforcement Fine-Tuning Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
Main Conference Track
Revealing Multimodal Causality with Large Language Models Jin Li, Shoujin Wang, Qi Zhang, Feng Liu, Tongliang Liu, Longbing Cao, Shui Yu, Fang Chen
Main Conference Track
Strategyproof Reinforcement Learning from Human Feedback Thomas Kleine Buening, Jiarui Gan, Debmalya Mandal, Marta Kwiatkowska
Main Conference Track
Is Grokking a Computational Glass Relaxation? Xiaotian Zhang, Yue Shang, Entao Yang, Ge Zhang
Main Conference Track
CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder Yongmin Lee, Hye Won Chung
Main Conference Track
Rao-Blackwellised Reparameterisation Gradients Kevin H. Lam, Thang Bui, George Deligiannidis, Yee Whye Teh
Main Conference Track
Personalized Federated Conformal Prediction with Localization Yinjie Min, Chuchen Zhang, Liuhua Peng, Changliang Zou
Main Conference Track
Bipolar Self-attention for Spiking Transformers Shuai Wang, Malu Zhang, Jingya Wang, Dehao Zhang, Yimeng Shan, Jieyuan (Eric) Zhang, Yichen Xiao, Honglin Cao, Haonan Zhang, Zeyu Ma, Yang Yang, Haizhou Li
Main Conference Track
Preventing Shortcuts in Adapter Training via Providing the Shortcuts Anujraaj Goyal, Guocheng Qian, Huseyin Coskun, Aarush Gupta, Himmy Tam, Daniil Ostashev, Ju Hu, Dhritiman Sagar, Sergey Tulyakov, Kfir Aberman, Kuan-Chieh Wang
Main Conference Track
Sherlock: Self-Correcting Reasoning in Vision-Language Models Yi Ding, Ruqi Zhang
Main Conference Track
CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic YUXUAN SUN, Yixuan Si, Chenglu Zhu, Kai Zhang, Zhongyi Shui, Bowen Ding, Tao Lin, Lin F. Yang
Main Conference Track
Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models? Hyeong Kyu Choi, Xiaojin Zhu, Sharon Li
Main Conference Track
Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data Shuli Zhang, Hao Zhou, Jiaqi Zheng, Guibin Jiang, Cheng Bing, Wei Lin, Guihai Chen
Main Conference Track
Adaptive Time Encoding for Irregular Multivariate Time-Series Classification Sangho Lee, Kyeongseo Min, Youngdoo Son, Hyungrok Do
Main Conference Track
Better Training Data Attribution via Better Inverse Hessian-Vector Products Andrew Wang, Elisa Nguyen, Runshi Yang, Juhan Bae, Sheila A. McIlraith, Roger Baker Grosse
Main Conference Track
GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior Penghao Wu, Shengnan Ma, Bo Wang, Jiaheng Yu, Lewei Lu, Ziwei Liu
Main Conference Track
Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models Benjamin Dupuis, Dario Shariatian, Maxime Haddouche, Alain Durmus, Umut Simsekli
Main Conference Track
Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules Yueqi Zhang, Peiwen Yuan, Yiwei Li, Shaoxiong Feng, Xinglin Wang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Prof. Kan
Main Conference Track
Unfolding the Black Box of Recurrent Neural Networks for Path Integration Tianhao Chu, Yuling Wu, Neil Burgess, Zilong Ji, Si Wu
Main Conference Track
DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models Komal Kumar, Rao Anwer, Fahad Shahbaz Khan, Salman H Khan, Ivan Laptev, Hisham Cholakkal
Main Conference Track
Steering Information Utility in Key-Value Memory for Language Model Post-Training Chunyuan Deng, Ruidi Chang, Hanjie Chen
Main Conference Track
Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model Chuang Ma, Tomoyuki Obuchi, Toshiyuki Tanaka
Main Conference Track
STACI: Spatio-Temporal Aleatoric Conformal Inference Brandon Feng, David Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian Reich
Main Conference Track
Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space Zhengrui Ma, Yang Feng, Chenze Shao, Fandong Meng, Jie Zhou, Min zhang
Main Conference Track
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective Beatrix Nielsen, Emanuele Marconato, Andrea Dittadi, Luigi Gresele
Main Conference Track
FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model Jinwei Hu, Zhenglin Huang, Xiangyu Yin, Wenjie Ruan, Guangliang Cheng, Yi Dong, Xiaowei Huang
Main Conference Track
Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach Chenbei Lu, Zaiwei Chen, Tongxin Li, Chenye Wu, Adam Wierman
Main Conference Track
Enhancing Training Data Attribution with Representational Optimization Weiwei Sun, Haokun Liu, Nikhil Kandpal, Colin A Raffel, Yiming Yang
Main Conference Track
Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling Xinglin Wang, Yiwei Li, Shaoxiong Feng, Peiwen Yuan, Yueqi Zhang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Prof. Kan
Main Conference Track
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios Yifan Li, Yuhang Chen, Anh Dao, Lichi Li, Zhongyi Cai, Zhen Tan, Tianlong Chen, Yu Kong
Datasets and Benchmarks Track
Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains Dongzhe Zheng, Wenjie Mei
Main Conference Track
FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning Fan Wu, Xinyu Yan, Jiabei Liu, Wei Yang Bryan Lim
Main Conference Track
Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale James Michaelov, Roger P. Levy, Benjamin Bergen
Main Conference Track
LeVo: High-Quality Song Generation with Multi-Preference Alignment Shun Lei, Yaoxun XU, ZhiweiLin, Huaicheng Zhang, Wei tan, Hangting Chen, Yixuan Zhang, Chenyu Yang, Haina Zhu, Shuai Wang, Zhiyong Wu, Dong Yu
Main Conference Track
Large Language Models Think Too Fast To Explore Effectively Lan Pan, Hanbo Xie, Robert Wilson
Main Conference Track
On topological descriptors for graph products Mattie Ji, Amauri H. Souza, Vikas Garg
Main Conference Track
Mitigating Overthinking in Large Reasoning Models via Manifold Steering Yao Huang, Huanran Chen, Shouwei Ruan, Yichi Zhang, Xingxing Wei, Yinpeng Dong
Main Conference Track
L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models Xiaohao Liu, Xiaobo Xia, Weixiang Zhao, Manyi Zhang, Xianzhi Yu, Xiu Su, Shuo Yang, See-Kiong Ng, Tat-Seng Chua
Main Conference Track
Accelerated Evolving Set Processes for Local PageRank Computation Binbin Huang, Luo Luo, Yanghua Xiao, Deqing Yang, Baojian Zhou
Main Conference Track
Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction Jin Hu, Jiakai Wang, linna Jing, Haolin Li, Liu haodong, Haotong Qin, Aishan Liu, Ke Xu, Xianglong Liu
Main Conference Track
Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions Simon Matrenok, Skander Moalla, Caglar Gulcehre
Main Conference Track
FlexSelect: Flexible Token Selection for Efficient Long Video Understanding yunzhu zhang, Yu Lu, Tianyi Wang, Fengyun Rao, Yi Yang, Linchao Zhu
Main Conference Track
BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning Jianyang Gu, Sam Stevens, Elizabeth Campolongo, Matthew J Thompson, Net Zhang, Jiaman Wu, Andrei Kopanev, Zheda Mai, Alexander White, James Balhoff, Wasila Dahdul, Daniel Rubenstein, Hilmar Lapp, Tanya Berger-Wolf, Wei-Lun (Harry) Chao, Yu Su
Main Conference Track
Thinker: Learning to Think Fast and Slow Stephen Chung, Wenyu Du, Jie Fu
Main Conference Track
Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach Yunuo Chen, Junli Cao, Vidit Goel, Sergei Korolev, Chenfanfu Jiang, Jian Ren, Sergey Tulyakov, Anil Kag
Main Conference Track
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better Danny Driess, Jost Springenberg, Brian Ichter, LILI YU, Adrian Li-Bell, Karl Pertsch, Allen Ren, Homer Walke, Quan Vuong, Lucy Xiaoyang Shi, Sergey Levine
Main Conference Track
REArtGS: Reconstructing and Generating Articulated Objects via 3D Gaussian Splatting with Geometric and Motion Constraints Di Wu, Liu Liu, Zhou Linli, Anran Huang, Liangtu Song, Qiaojun Yu, Qi Wu, Cewu Lu
Main Conference Track
Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps Haibo Jin, Peiyan Zhang, Man Luo, Haohan Wang
Main Conference Track
UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection Jigang Fan, Quanlin Wu, Shengjie Luo, Liwei Wang
Main Conference Track
Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models Jun Zhao, Yongzhuo Yang, Xiang Hu, Jingqi Tong, Yi Lu, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang
Main Conference Track
Delving into Large Language Models for Effective Time-Series Anomaly Detection JUN WOO PARK, Kyudan Jung, Dohyun Lee, Hyuck Lee, DAEHOON GWAK, ChaeHun Park, Jaegul Choo, Jaewoong Cho
Main Conference Track
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation Siyi Chen, Yixuan Jia, Qing Qu, He Sun, Jeffrey A. Fessler
Main Conference Track
KScope: A Framework for Characterizing the Knowledge Status of Language Models Yuxin Xiao, Shan Chen, Jack Gallifant, Danielle Bitterman, Tom Hartvigsen, Marzyeh Ghassemi
Main Conference Track
Perturbation Bounds for Low-Rank Inverse Approximations under Noise Phuc Tran, Nisheeth K. Vishnoi
Main Conference Track
Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals Nate Gillman, Charles Herrmann, Michael Freeman, Daksh Aggarwal, Evan Luo, Deqing Sun, Chen Sun
Main Conference Track
Spatial Understanding from Videos: Structured Prompts Meet Simulation Data Haoyu Zhang, Meng Liu, Zaijing Li, Haokun Wen, Weili Guan, Yaowei Wang, Liqiang Nie
Main Conference Track
DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases Mo WANG, Kaining Peng, Jingsheng Tang, Hongkai Wen, Quanying Liu
Main Conference Track
Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents Qizheng Zhang, Michael Wornow, Kunle Olukotun
Main Conference Track
Preference-driven Knowledge Distillation for Few-shot Node Classification Xing Wei, Chunchun Chen, Rui Fan, Xiaofeng Cao, Sourav Medya, Wei Ye
Main Conference Track
Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow Kristiyan Sakalyan, Alessandro Palma, Filippo Guerranti, Fabian J. Theis, Stephan Günnemann
Main Conference Track
EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale Yiheng Du, Aditi Krishnapriyan
Main Conference Track
Spiking Neural Networks Need High-Frequency Information Yuetong Fang, Deming Zhou, Ziqing Wang, Hongwei Ren, zeng zecui, Lusong Li, shibo zhou, Renjing Xu
Main Conference Track
Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu
Main Conference Track
Searching Latent Program Spaces Matthew Macfarlane, Clem Bonnet
Main Conference Track
Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation Jingmin Zhu, Anqi Zhu, Hossein Rahmani, Jun Liu, Mohammed Bennamoun, Qiuhong Ke
Main Conference Track
Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations Zican Dong, Han Peng, Peiyu Liu, Xin Zhao, Dong Wu, Feng Xiao, Zhifeng Wang
Main Conference Track
Computational Hardness of Reinforcement Learning with Partial $q^{\pi}$-Realizability Shayan Karimi, Xiaoqi Tan
Main Conference Track
CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference Qiyi Wang, Senda Chen, Ying Shen
Main Conference Track
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments Enjun Du, Xunkai Li, Tian Jin, Zhihan Zhang, Rong-Hua Li, Guoren Wang
Main Conference Track
Understanding Bias Terms in Neural Representations Weixiang Zhang, Boxi Li, Shuzhao Xie, Chengwei Ren, Yuan Xue, Zhi Wang
Main Conference Track
SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data Wenkai Fang, Shunyu Liu, Yang Zhou, Kongcheng Zhang, Tongya Zheng, Kaixuan Chen, Mingli Song, Dacheng Tao
Main Conference Track
Latent Chain-of-Thought for Visual Reasoning Guohao Sun, Hang Hua, Jian Wang, Jiebo Luo, Sohail Dianat, MAJID RABBANI, Raghuveer Rao, Zhiqiang Tao
Main Conference Track
FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance Ying Li, Chengfei Lyu, Huan Wang
Main Conference Track
Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics Jiayuan Ding, Jianhui Lin, Shiyu Jiang, Yixin Wang, Ziyang Miao, Zhaoyu Fang, Jiliang Tang, Min Li, Xiaojie Qiu
Main Conference Track
Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models Sai Niranjan Ramachandran, Manish Krishan Lal, Suvrit Sra
Main Conference Track
Reasoning Models Better Express Their Confidence Dongkeun Yoon, Seungone Kim, Sohee Yang, Sunkyoung Kim, Soyeon Kim, Yongil Kim, Eunbi Choi, Yireun Kim, Minjoon Seo
Main Conference Track
Backward Conformal Prediction Etienne Gauthier, Francis Bach, Michael I Jordan
Main Conference Track
Non-monotone Submodular Optimization: $p$-Matchoid Constraints and Fully Dynamic Setting Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
Main Conference Track
LLM Interpretability with Identifiable Temporal-Instantaneous Representation Xiangchen Song, Jiaqi Sun, Zijian Li, Yujia Zheng, Kun Zhang
Main Conference Track
For Better or for Worse, Transformers Seek Patterns for Memorization Madhur Panwar, Gail Weiss, Navin Goyal, Antoine Bosselut
Main Conference Track
Evaluating LLMs in Open-Source Games Swadesh Sistla, Max Kleiman-Weiner
Main Conference Track
Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling Hongyi Nie, Yaqing Wang, Mingyang Zhou, Feiyang Pan, Quanming Yao, Zhen Wang
Main Conference Track
EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation Dongyang Zeng, Yaping Liu, Wei Zhang, Shuo Zhang, Xinwang Liu, Binxing Fang
Main Conference Track
Preference Learning with Response Time: Robust Losses and Guarantees Ayush Sawarni, Sahasrajit Sarmasarkar, Vasilis Syrgkanis
Main Conference Track
AF-UMC: An Alignment-Free Fusion Framework for Unaligned Multi-View Clustering Bohang Sun, Yuena Lin, Tao Yang, Zhen Zhu, Zhen Yang, Gengyu Lyu
Main Conference Track
T1: A Tool-Oriented Conversational Dataset for Multi-Turn Agentic Planning Amartya Chakraborty, Paresh Dashore, Nadia Bathaee, Anmol Jain, Anirban Das, Shi-Xiong Zhang, Sambit Sahu, Milind R. Naphade, Genta Winata
Datasets and Benchmarks Track
Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search Haoran Sun, Yankai Jiang, Wenjie Lou, Yujie Zhang, Wenjie Li, Lilong Wang, Mianxin Liu, Lei Liu, Xiaosong Wang
Main Conference Track
Contextual Dynamic Pricing with Heterogeneous Buyers Thodoris Lykouris, Sloan Nietert, Princewill Okoroafor, Chara Podimata, Julian Zimmert
Main Conference Track
CoP: Agentic Red-teaming for Large Language Models using Composition of Principles Chen Xiong, Pin-Yu Chen, Tsung-Yi Ho
Main Conference Track
TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles Yaoyao Xu, Di Wang, Zihan Zhou, Tianshu Yu, Mingchen Chen
Main Conference Track
Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics Lorenzo Magnino, Kai Shao, Zida Wu, Jiacheng Shen, Mathieu Lauriere
Main Conference Track
Contextual Integrity in LLMs via Reasoning and Reinforcement Learning Guangchen (Eric) Lan, Huseyin A. Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher Brinton, Robert Sim
Main Conference Track
Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning Gunshi Gupta, Karmesh Yadav, Zsolt Kira, Yarin Gal, Rahaf Aljundi
Main Conference Track
X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability Yu Yang, Alan Liang, Jianbiao Mei, Yukai Ma, Yong Liu, Gim Hee Lee
Main Conference Track
NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI Cosmin Bercea, Jun Li, Philipp Raffler, Evamaria O. Riedel, Lena Schmitzer, Angela Kurz, Felix Bitzer, Paula Roßmüller, Julian Canisius, Mirjam Beyrle, Che Liu, Wenjia Bai, Bernhard Kainz, Julia Schnabel, Benedikt Wiestler
Datasets and Benchmarks Track
Glocal Information Bottleneck for Time Series Imputation Jie Yang, Kexin Zhang, Guibin Zhang, Philip S Yu, Kaize Ding
Main Conference Track
Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression Jingfeng Wu, Pierre Marion, Peter L Bartlett
Main Conference Track
MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans Error
Datasets and Benchmarks Track
Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning Jaesik Yoon, Hyeonseo Cho, Yoshua Bengio, Sungjin Ahn
Main Conference Track
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation Bailey Trang Nguyen, Parham Saremi, Alan Wang, Fangrui Huang, Zahra TehraniNasab, Amar Kumar, Tal Arbel, Fei-Fei Li, Ehsan Adeli
Main Conference Track
Optimal Best Arm Identification under Differential Privacy Marc Jourdan, Achraf Azize
Main Conference Track
Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations Jiabin Lin, Shana Moothedath
Main Conference Track
Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning Yichen Li, Xiuying Wang, Wenchao Xu, Haozhao Wang, Yining Qi, Jiahua Dong, Ruixuan Li
Main Conference Track
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities Can Rong, Xin Zhang, Yanxin Xi, HONGJIE SUI, Jingtao Ding, Yong Li
Datasets and Benchmarks Track
$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models Taehoon Yoon, Yunhong Min, Kyeongmin Yeo, Minhyuk Sung
Main Conference Track
NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection Error
Datasets and Benchmarks Track
Flow Field Reconstruction with Sensor Placement Policy Learning Ruoyan Li, Frank Wan, Zijie Huang, Zixiao Liu, Haixin Wang, Xiao Luo, Wei Wang, Yizhou Sun
Main Conference Track
Learning 3D Persistent Embodied World Models Siyuan Zhou, Yilun Du, Yuncong Yang, Lei Han, Peihao Chen, Dit-Yan Yeung, Chuang Gan
Main Conference Track
LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? Error
Datasets and Benchmarks Track
FastJAM: a Fast Joint Alignment Model for Images Omri Hirsch, Ron A Shapira Weber, Shira Ifergane, Oren Freifeld
Main Conference Track
APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction Sasan Sharifipour, Constantino Álvarez Casado, Mohammad Sabokrou, Miguel Bordallo Lopez
Main Conference Track
Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts Chen Li, Huiying Xu, Changxin Gao, Zeyu Wang, Yun Liu, Xinzhong Zhu
Main Conference Track
LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach Jinglong Shen, Nan Cheng, Wenchao Xu, Haozhao Wang, Yifan guo, Jiajie Xu
Main Conference Track
Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren
Main Conference Track
Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions Jhanvi Garg, Krishnakumar Balasubramanian, Quan Zhou
Main Conference Track
Bayes optimal learning of attention-indexed models Fabrizio Boncoraglio, Emanuele Troiani, Vittorio Erba, Lenka Zdeborová
Main Conference Track
Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules Gonzalo E. Constante, Hao Chen, Can Li
Main Conference Track
LaViDa: A Large Diffusion Language Model for Multimodal Understanding Shufan Li, Konstantinos Kallidromitis, Hritik Bansal, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Jason Kuen, Zhe Lin, Kai-Wei Chang, Aditya Grover
Main Conference Track
When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Quan Shi, Carlos E. Jimenez, Shunyu Yao, Nick Haber, Diyi Yang, Karthik Narasimhan
Main Conference Track
Abstract Rendering: Certified Rendering Under 3D Semantic Uncertainty Chenxi Ji, Yangge Li, Xiangru Zhong, Huan Zhang, Sayan Mitra
Main Conference Track
Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation Xiang Li, Zirui Wang, Zixuan Huang, James M. Rehg
Main Conference Track
CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning Error
Datasets and Benchmarks Track
Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs Hao Fang, Changle Zhou, Jiawei Kong, Kuofeng Gao, Bin Chen, Tao Liang, Guojun Ma, Shu-Tao Xia
Main Conference Track
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks Ann Huang, Satpreet Harcharan Singh, Flavio Martinelli, Kanaka Rajan
Main Conference Track
Gate to the Vessel: Residual Experts Restore What SAM Overlooks Weili Jiang, Jinrong Lv, Xun Gong, Xiaomeng Li, Chubin Ou
Main Conference Track
Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization Weiming Liu, Xinting Liao, Jun Dan, Fan Wang, Hua Yu, Junhao Dong, Shunjie Dong, Lianyong Qi, Yew Soon Ong
Main Conference Track
$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data Ruizhe Liu, Pei Zhou, Qian Luo, Li Sun, Jun CEN, Yibing Song, Yanchao Yang
Main Conference Track
Periodic Skill Discovery Jonghae Park, Daesol Cho, Jusuk Lee, Dongseok Shim, Inkyu Jang, H. Jin Kim
Main Conference Track
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions Zhaoxian Wu, Quan Xiao, Tayfun Gokmen, Omobayode Fagbohungbe, Tianyi Chen
Main Conference Track
Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation Linye Li, Yufei Chen, Xiaodong Yue
Main Conference Track
ToolRL: Reward is All Tool Learning Needs Cheng Qian, Emre Can Acikgoz, Qi He, Hongru WANG, Xiusi Chen, Dilek Hakkani-Tur, Gokhan Tur, Heng Ji
Main Conference Track
Probabilistic Token Alignment for Large Language Model Fusion Runjia Zeng, James Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huangg, Tong Geng, Qifan Wang, Dongfang Liu
Main Conference Track
EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling Jia-Hua Lee, Bor-Jiun Lin, Wei-Fang Sun, Chun-Yi Lee
Main Conference Track
Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning Yang Li, Aming WU, Zihao Zhang, Yahong Han
Main Conference Track
MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Meilong Xu, Xiaoling Hu, Shahira Abousamra, Chen Li, Chao Chen
Main Conference Track
Flux4D: Flow-based Unsupervised 4D Reconstruction Jingkang Wang, Henry Che, Yun Chen, Ze Yang, Lily Goli, Sivabalan Manivasagam, Raquel Urtasun
Main Conference Track
Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited Thang Bui, Michalis K. Titsias
Main Conference Track
PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection Long Li, Wencheng Zhang, Shi Yuan, Hongle Guo, Wanghu Chen
Main Conference Track
SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks Yilun Zhao, Kaiyan Zhang, Tiansheng Hu, Sihong Wu, Ronan Le Bras, Yixin Liu, Robert Tang, Joseph Chee Chang, Jesse Dodge, Jonathan Bragg, Chen Zhao, Hanna Hajishirzi, Doug Downey, Arman Cohan
Datasets and Benchmarks Track
EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths Zhening Li, Armando Solar-Lezama, Yisong Yue, Stephan Zheng
Main Conference Track
Absolute Zero: Reinforced Self-play Reasoning with Zero Data Andrew Zhao, Yiran Wu, Tong Wu, Quentin Xu, Yang Yue, Matthieu Lin, Shenzhi Wang, Qingyun Wu, Zilong Zheng, Gao Huang
Main Conference Track
Differentiable extensions with rounding guarantees for combinatorial optimization over permutations Robert (Riley) Nerem, Zhishang Luo, Akbar Rafiey, Yusu Wang
Main Conference Track
ShiQ: Bringing back Bellman to LLMs Pierre Clavier, Nathan Grinsztajn, Raphaël Avalos, Yannis Flet-Berliac, Irem Ergun, Omar Darwiche Domingues, Olivier Pietquin, Pierre Richemond, Florian Strub, Matthieu Geist
Main Conference Track
HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Zhiwen Chen, Hanming Deng, Zhuoren Li, Huanxi Wen, Guizhe Jin, Ran Yu, Bo Leng
Main Conference Track
OmniGaze: Reward-inspired Generalizable Gaze Estimation in the Wild Hongyu Qu, Jianan Wei, Xiangbo Shu, Yazhou Yao, Wenguan Wang, Jinhui Tang
Main Conference Track
Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling Yitian Chen, Jingfan Xia, Siyu Shao, DongDong Ge, Yinyu Ye
Main Conference Track
Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation Wenbo Zhang, Tianrun Hu, Hanbo Zhang, Yanyuan Qiao, Yuchu Qin, Yang Li, Jiajun Liu, Tao Kong, Lingqiao Liu, Xiao Ma
Main Conference Track
Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits Fan Chen, Zeyu Jia, Alexander Rakhlin, Tengyang Xie
Main Conference Track
Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape Shiyue Wang, Ziao Guo, Changhong Lu, Junchi Yan
Main Conference Track
Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets Zhiyuan Zhou, Yueming Yin, Yiming Yang, Yuguang Mu, Hoi-Yeung Li, Adams Wai Kin Kong
Main Conference Track
CoFFT: Chain of Foresight-Focus Thought for Visual Language Models Xinyu Zhang, Yuxuan Dong, Lingling Zhang, Chengyou Jia, Zhuohang Dang, Basura Fernando, Jun Liu, Mike Zheng Shou
Main Conference Track
Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization Tao Zhang, Cheng Da, Kun Ding, Huan Yang, kun jin, Yan Li, Tingting Gao, Di ZHANG, SHIMING XIANG, Chunhong Pan
Main Conference Track
CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs Roman Vashurin, Maiya Goloburda, Albina Ilina, Aleksandr Rubashevskii, Preslav Nakov, Artem Shelmanov, Maxim Panov
Main Conference Track
ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning Tonghe Zhang, Chao Yu, Sichang Su, Yu Wang
Main Conference Track
RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving Huacan Wang, Ziyi Ni, Shuo Zhang, Shuo Lu, Sen Hu, Ziyang He, Chen Hu, Jiaye Lin, Yifu Guo, Yuntao Du, Pin Lyu
Main Conference Track
Preference Distillation via Value based Reinforcement Learning Minchan Kwon, Junwon Ko, Kangil kim, Junmo Kim
Main Conference Track
Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels Jonathan Grizou, Carlos De la Torre-Ortiz, Tuukka Ruotsalo
Main Conference Track
Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning Julian Minder, Clément Dumas, Caden Juang, Bilal Chughtai, Neel Nanda
Main Conference Track
Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable Ruoxin Chen, Junwei Xi, Zhiyuan Yan, Ke-Yue Zhang, Shuang Wu, Jingyi Xie, Xu Chen, Lei Xu, Isabel Guan, Taiping Yao, Shouhong Ding
Main Conference Track
Distilling LLM Agent into Small Models with Retrieval and Code Tools Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, Sung Ju Hwang
Main Conference Track
Exploring the Translation Mechanism of Large Language Models Hongbin Zhang, Kehai Chen, Xuefeng Bai, Xiucheng Li, Yang Xiang, Min zhang
Main Conference Track
Spike-timing-dependent Hebbian learning as noisy gradient descent Niklas Dexheimer, Sascha Gaudlitz, Johannes Schmidt-Hieber
Main Conference Track
ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning Xiaotian Liu, Ali Pesaranghader, Jaehong Kim, Tanmana Sadhu, Hyejeong Jeon, Scott Sanner
Main Conference Track
Deep Legendre Transform Aleksey Minabutdinov, Patrick Cheridito
Main Conference Track
Reinforced Context Order Recovery for Adaptive Reasoning and Planning Long Ma, Fangwei Zhong, Yizhou Wang
Main Conference Track
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo Zachary Charles, Gabriel Teston, Lucio Dery, John Rush, Nova Fallen, Zachary Garrett, Arthur D. Szlam, Arthur Douillard
Main Conference Track
Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns Menghao Zhang, Huazheng Wang, Pengfei Ren, Kangheng Lin, Qi Qi, Haifeng Sun, Zirui Zhuang, Lei Zhang, Jianxin Liao, Jingyu Wang
Main Conference Track
Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking Ting Han, Linara Adilova, Henning Petzka, Jens Kleesiek, Michael Kamp
Main Conference Track
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods Dennis Wei, Inkit Padhi, Soumya Ghosh, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Maria Chang
Main Conference Track
Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm James Cuin, Davide Carbone, O. Deniz Akyildiz
Main Conference Track
Multimodal Tabular Reasoning with Privileged Structured Information Jun-Peng Jiang, Yu Xia, Hai-Long Sun, Shiyin Lu, Qingguo Chen, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye
Main Conference Track
REASONING COMPILER: LLM-Guided Optimizations for Efficient Model Serving Annabelle Sujun Tang, Christopher Priebe, Rohan Mahapatra, Lianhui Qin, Hadi Esmaeilzadeh
Main Conference Track
SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval Jiahang Zhang, Lilang Lin, Shuai Yang, Jiaying Liu
Main Conference Track
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark Error
Datasets and Benchmarks Track
Neural Correlates of Serial Dependence: Synaptic Short-term Plasticity Orchestrates Repulsion and Attraction Xiuning Zhang, Xincheng Lu, Nihong Chen, Yuanyuan Mi
Main Conference Track
Robust Estimation Under Heterogeneous Corruption Rates Syomantak Chaudhuri, Jerry Li, Thomas Courtade
Main Conference Track
Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer Qiannan Zhang, Manqi Zhou, Zilong Bai, Chang Su, Fei Wang
Main Conference Track
On the Coexistence and Ensembling of Watermarks Aleksandar Petrov, Shruti Agarwal, Philip H.S. Torr, Adel Bibi, John Collomosse
Main Conference Track
Natural Gradient VI: Guarantees for Non-Conjugate Models Fangyuan Sun, Ilyas Fatkhullin, Niao He
Main Conference Track
The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning Shivam Agarwal, Zimin Zhang, Lifan Yuan, Jiawei Han, Hao Peng
Main Conference Track
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning Junyu Chen, Junzhuo Li, Zhen Peng, Wenjie Wang, Yuxiang Ren, Long Shi, Xuming Hu
Main Conference Track
HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions Dor Tsur, Carol Long, Claudio Mayrink Verdun, Sajani Vithana, Hsiang Hsu, Richard Chen, haim permuter, Flavio Calmon
Main Conference Track
Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation Zixi Wang, Yushe Cao, Yubo Huang, Jinzhu Wei, Jingzehua Xu, Shuai Zhang, Xin Lai
Main Conference Track
A Beyond-Worst-Case Analysis of Greedy k-means++ Qingyun Chen, Sungjin Im, Ben Moseley, Ryan Milstrey, Chenyang Xu, Ruilong Zhang
Main Conference Track
AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems Yingxuan Yang, Huacan Chai, Shuai Shao, Yuanyi Song, Siyuan Qi, Renting Rui, Weinan Zhang
Main Conference Track
SpectraLDS: Provable Distillation for Linear Dynamical Systems Devan Shah, Shlomo Fortgang, Sofiia Druchyna, Elad Hazan
Main Conference Track
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu
Main Conference Track
Pessimistic Data Integration for Policy Evaluation Xiangkun Wu, Ting Li, Gholamali Aminian, Armin Behnamnia, Hamid Rabiee, Chengchun Shi
Main Conference Track
Token Bottleneck: One Token to Remember Dynamics Taekyung Kim, Dongyoon Han, Byeongho Heo, Jeongeun Park, Sangdoo Yun
Main Conference Track
Improving Bilinear RNN with Closed-loop Control Jiaxi Hu, Yongqi Pan, Jusen Du, Disen Lan, Tang, Qingsong Wen, Yuxuan Liang, Weigao Sun
Main Conference Track
Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Jiahao Ma, Lei Wang, Miaomiao Liu, David Ahmedt-Aristizabal, Chuong Nguyen
Main Conference Track
AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs? Error
Datasets and Benchmarks Track
Reinforcement Learning Teachers of Test Time Scaling Edoardo Cetin, Tianyu Zhao, Yujin Tang
Main Conference Track
Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling Dehao Zhang, Malu Zhang, Shuai Wang, Jingya Wang, Wenjie Wei, Zeyu Ma, Guoqing Wang, Yang Yang, Haizhou Li
Main Conference Track
MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Error
Datasets and Benchmarks Track
Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation Leqi Zheng, Chaokun Wang, Zixin Song, Cheng Wu, Shannan Yan, Jiajun Zhang, Ziyang Liu
Main Conference Track
PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks Pengyun Yue, Xuanlin Yang, Mingqing Xiao, Zhouchen Lin
Main Conference Track
Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation Liliang Ren, Congcong Chen, Haoran Xu, Young Jin Kim, Adam Atkinson, Zheng Zhan, Jiankai Sun, Baolin Peng, Liyuan Liu, Shuohang Wang, Hao Cheng, Jianfeng Gao, Weizhu Chen, yelong shen
Main Conference Track
Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems Lorenzo Baldassari, Josselin Garnier, Knut Solna, Maarten V. de Hoop
Main Conference Track
SentinelKilnDB: A Large-Scale Dataset and Benchmark for OBB Brick Kiln Detection in South Asia Using Satellite Imagery Error
Datasets and Benchmarks Track
A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings Xiaoang Xu, Shuo Wang, Xu Han, Zhenghao Liu, Huijia Wu, Peipei Li, Zhiyuan Liu, Maosong Sun, Zhaofeng He
Main Conference Track
GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation Yi Dong, Yuxi Wang, Xianhui Lin, Wenqi Ouyang, Zhiqi Shen, Peiran Ren, Ruoxi Fan, Rynson Lau
Main Conference Track
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random Binh Ho, Long Nguyen-Chi, TrungTin Nguyen, Van Hoang, Thanh Binh Nguyen, Chris Drovandi
Main Conference Track
Mitigating Spurious Features in Contrastive Learning with Spectral Regularization Naghmeh Ghanooni, Waleed Mustafa, Dennis Wagner, Sophie Fellenz, Anthony Lin, Marius Kloft
Main Conference Track
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models Haoyi Song, Ruihan Ji, Naichen Shi, Fan Lai, Raed AL Kontar
Main Conference Track
Constrained Posterior Sampling: Time Series Generation with Hard Constraints Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout, Sanjay Shakkottai, Sandeep Chinchali
Main Conference Track
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Heyang Zhao, Chenlu Ye, Quanquan Gu, Tong Zhang
Main Conference Track
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio Sicong Leng, Yun Xing, Zesen Cheng, Yang Zhou, Hang Zhang, Xin Li, Deli Zhao, Shijian Lu, Chunyan Miao, Lidong Bing
Datasets and Benchmarks Track
Universal Sequence Preconditioning Annie Marsden, Elad Hazan
Main Conference Track
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh vahid, Maxwell Horton, Samy Bengio, Mehrdad Farajtabar
Main Conference Track
PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture Yi Liu, Yang Liu, Leqian Zheng, Jue Hong, Junjie Shi, Qingyou Yang, Ye Wu, Cong Wang
Main Conference Track
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination Ilias Diakonikolas, Chao Gao, Daniel Kane, John D. Lafferty, Ankit Pensia
Main Conference Track
Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving Hossein Askari, Yadan Luo, Hongfu Sun, Fred Roosta
Main Conference Track
Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation Muquan Li, Hang Gou, Dongyang Zhang, Shuang Liang, Xiurui Xie, Deqiang Ouyang, Ke Qin
Main Conference Track
Greedy Sampling Is Provably Efficient For RLHF Di Wu, Chengshuai Shi, Jing Yang, Cong Shen
Main Conference Track
SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification Zenan Ying, Zhi Zheng, huijun hou, Tong Xu, Qi Liu, Jinke Wang, Wei Chen
Main Conference Track
FoGE: Fock Space inspired encoding for graph prompting Takis Chytas, Rudrasis Chakraborty, Vikas Singh
Main Conference Track
Entropy-Calibrated Label Distribution Learning Yunan Lu, Bowen Xue, Xiuyi Jia, Lei Yang
Main Conference Track
Diversity-oriented Deep Multi-modal Clustering Wang Yanzheng, Xin Yang, Yujun Wang, Shizhe Hu, Mingliang Xu
Main Conference Track
Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models Yulei Qin, Gang Li, Zongyi Li, Zihan Xu, Yuchen Shi, Zhekai Lin, Xiao Cui, Ke Li, Xing Sun
Main Conference Track
Generating Physically Sound Designs from Text and a Set of Physical Constraints Gregory Barber, Todd Henry, Mulugeta Haile
Main Conference Track
UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting Kai He, Ruofan Liang, Jacob Munkberg, Jon Hasselgren, Nandita Vijaykumar, Alexander Keller, Sanja Fidler, Igor Gilitschenski, Zan Gojcic, Zian Wang
Main Conference Track
Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation Yifu Luo, Xinhao Hu, Keyu Fan, Haoyuan Sun, Zeyu Chen, Bo Xia, Tiantian Zhang, Yongzhe Chang, Xueqian Wang
Main Conference Track
Differentiation Through Black-Box Quadratic Programming Solvers Connor Magoon, Fengyu Yang, Noam Aigerman, Shahar Kovalsky
Main Conference Track
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis Mohammad Saleh Refahi, Mahdi Abavisani, Bahrad Sokhansanj, James R Brown, Gail Rosen
Main Conference Track
LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks Di Jin, Yuxiang Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang
Main Conference Track
Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations Chao Su, Likang Peng, Yuan Sun, Dezhong Peng, Xi Peng, Xu Wang
Main Conference Track
DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling Kairun Wen, Yuzhihuang, Runyu Chen, Hui Zheng, Yunlong Lin, Panwang Pan, Chenxin Li, Wenyan Cong, Jian Jun Zhang, Junbin Lu, Chenguo Lin, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Yue Huang, Xinghao Ding, Rakesh Ranjan, Zhiwen Fan
Main Conference Track
Rethinking Losses for Diffusion Bridge Samplers Sebastian Sanokowski, Lukas Gruber, Christoph Bartmann, Sepp Hochreiter, Sebastian Lehner
Main Conference Track
DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Ruiqi Wu, Xinjie wang, Liu.Liu, Chun-Le Guo, Jiaxiong Qiu, Chongyi Li, Lichao Huang, Zhizhong Su, Ming-Ming Cheng
Main Conference Track
More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation Derui Zhu, Dingfan Chen, jinfu chen, Jens Grossklags, Alexander Pretschner, Weiyi Shang
Main Conference Track
Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators Jongwoo Ko, Sungnyun Kim, Sungwoo Cho, Se-Young Yun
Main Conference Track
Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning Haoran Li, CHENHAN XIAO, Muhao Guo, Yang Weng
Main Conference Track
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly Error
Datasets and Benchmarks Track
🎧MOSPA: Human Motion Generation Driven by Spatial Audio Shuyang Xu, Zhiyang Dou, Mingyi Shi, Liang Pan, Leo Ho, Jingbo Wang, Yuan Liu, Cheng Lin, Yuexin Ma, Wenping Wang, Taku Komura
Main Conference Track
GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction Jiahe Li, Jiawei Zhang, Youmin Zhang, Xiao Bai, Jin Zheng, Xiaohan Yu, Lin Gu
Main Conference Track
WaLRUS: Wavelets for Long range Representation Using State Space Methods Hossein Babaei, Mel White, Sina Alemohammad, Richard Baraniuk
Main Conference Track
Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum Snir Hordan, Maya Bechler-Speicher, Gur Lifshitz, Nadav Dym
Main Conference Track
Prediction-Powered Semi-Supervised Learning with Online Power Tuning Noa Shoham, Ron Dorfman, Shalev Shaer, Kfir Y. Levy, Yaniv Romano
Main Conference Track
Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning Yiwen Zhu, Jinyi Liu, Pengjie Gu, Yifu Yuan, Zhenxing Ge, Wenya Wei, Zhou Fang, Yujing Hu, Bo An
Main Conference Track
VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR Shenghui Chen, Po-han Li, Sandeep Chinchali, Ufuk Topcu
Main Conference Track
Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation Yuyang Huang, Yabo Chen, Junyu Zhou, Wenrui Dai, XIAOPENG ZHANG, Junni Zou, Hongkai Xiong, Qi Tian
Main Conference Track
Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems Ibrahim Alabdulmohsin, Xiaohua Zhai
Main Conference Track
Correlation Dimension of Autoregressive Large Language Models Xin Du, Kumiko Tanaka-Ishii
Main Conference Track
Multi-agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game Rong Ye, Yongxin Zhang, yikai zhang, Haoyu Kuang, peng sun, zhongyu wei
Main Conference Track
Reasoning Is Not a Race: When Stopping Early Beats Going Deeper Mohan Zhang, Jiaxuan Gao, Shusheng Xu, YI WU
Main Conference Track
Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties Error
Datasets and Benchmarks Track
Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding Sunwoo Kim, Hyunjin Hwang, Kijung Shin
Main Conference Track
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve Yuanzhe Liu, Ryan Deng, Tim Kaler, Xuhao Chen, Charles Leiserson, Yao Ma, Jie Chen
Main Conference Track
ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models Zhuo Chen, YIZHEN ZHENG, Huan Yee Koh, Hongxin Xiang, Linjiang Chen, Wenjie Du, Yang Wang
Datasets and Benchmarks Track
Contrastive Representations for Temporal Reasoning Alicja Ziarko, Michał Bortkiewicz, Michał Zawalski, Benjamin Eysenbach, Piotr Miłoś
Main Conference Track
Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Qianli Shen, Yaliang Li, Ying Shen
Main Conference Track
Machine Unlearning under Overparameterization Jacob Block, Aryan Mokhtari, Sanjay Shakkottai
Main Conference Track
NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis Shengrong Li, Qi Zhu, Chunwei Tian, Xinyang Zhang, WEI SHAO, Jie Wen, Daoqiang Zhang
Main Conference Track
UFM: A Simple Path towards Unified Dense Correspondence with Flow Yuchen Zhang, Nikhil Keetha, Chenwei Lyu, Bhuvan Jhamb, Yutian Chen, Yuheng Qiu, Jay Karhade, Shreyas Jha, Yaoyu Hu, Deva Ramanan, Sebastian Scherer, Wenshan Wang
Main Conference Track
Reinforcement Learning with Backtracking Feedback Bilgehan Sel, Vaishakh Keshava, Phillip Wallis, Lukas Rutishauser, Ming Jin, Dingcheng Li
Main Conference Track
Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration Wenjun Wu, Lingling Zhang, Bo Zhao, Muye Huang, QianYing Wang, Jun Liu
Main Conference Track
Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs Mehran Shakerinava, Siamak Ravanbakhsh, Adam M. Oberman
Main Conference Track
The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization Error
Datasets and Benchmarks Track
Self-Supervised Learning of Graph Representations for Network Intrusion Detection Lorenzo Guerra, Thomas Chapuis, Guillaume Duc, Pavlo Mozharovskyi, Van-Tam Nguyen
Main Conference Track
Position: Bridge the Gaps between Machine Unlearning and AI Regulation Error
Position Paper Track
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death Sihyung Park, Wenbin Lu, Shu Yang
Main Conference Track
Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning Xianghua Zeng, Hao Peng, Yicheng Pan, Angsheng Li, Guanlin Wu
Main Conference Track
ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models Duy M. H. Nguyen, Nghiem Diep, Trung Nguyen, Hoang-Bao Le, Tai D. Nguyen, Anh-Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, Daniel Sonntag, James Y Zou, Mathias Niepert
Main Conference Track
MLLM-ISU: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models based Intrusion Scene Understanding Error
Datasets and Benchmarks Track
In the Eye of MLLM: Benchmarking Egocentric Video Intent Understanding with Gaze-Guided Prompting Taiying Peng, Jiacheng Hua, Miao Liu, Feng Lu
Datasets and Benchmarks Track
IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation HantingYan Yan, Pan Mu, Shiqi Zhang, Yuchao Zhu, jinglin zhang, Cong Bai
Main Conference Track
ChemX: A Collection of Chemistry Datasets for Benchmarking Automated Information Extraction Error
Datasets and Benchmarks Track
Probabilistic Reasoning with LLMs for Privacy Risk Estimation Jonathan Zheng, Alan Ritter, Sauvik Das, Wei "Coco" Xu
Main Conference Track
TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE Jiawen Wei, jiang lan, Pengbo Wei, Ziwen Ye, Teng Song, Chen Chen, Guangrui Ma
Main Conference Track
Learning Task-Agnostic Representations through Multi-Teacher Distillation Philippe Formont, Maxime Darrin, Banafsheh Karimian, Eric Granger, Jackie CK Cheung, Ismail Ayed, Mohammadhadi Shateri, Pablo Piantanida
Main Conference Track
ARIA: Training Language Agents with Intention-driven Reward Aggregation Ruihan Yang, yikai zhang, Aili Chen, Xintao Wang, Jiangjie Chen, Siyu Yuan, Deqing Yang, Yanghua Xiao
Main Conference Track
Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression Yuning Shen, Lihao Wang, Huizhuo Yuan, Yan Wang, Bangji Yang, Quanquan Gu
Main Conference Track
HypoBootstrap: A Bootstrapping Framework for Inductive Reasoning Si Chen, Yifei Li, Richong Zhang
Main Conference Track
Torch-Uncertainty: Deep Learning Uncertainty Quantification Error
Datasets and Benchmarks Track
MindJourney: Test-Time Scaling with World Models for Spatial Reasoning Yuncong Yang, Jiageng Liu, Zheyuan Zhang, Siyuan Zhou, Reuben Tan, Jianwei Yang, Yilun Du, Chuang Gan
Main Conference Track
PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly Liang Ma, Jiajun Wen, Min Lin, Rongtao Xu, Xiwen Liang, Bingqian Lin, Jun Ma, Yongxin Wang, Ziming Wei, haokun lin, Mingfei Han, Meng Cao, Bokui Chen, Ivan Laptev, Xiaodan Liang
Datasets and Benchmarks Track
PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies? Error
Datasets and Benchmarks Track
Provable Gradient Editing of Deep Neural Networks Zhe Tao, Aditya V Thakur
Main Conference Track
Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning Younggyo Seo, Pieter Abbeel
Main Conference Track
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability Tonglong Wei, Yan Lin, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan
Main Conference Track
Towards Robust Uncertainty Calibration for Composed Image Retrieval Yifan Wang, Wuliang Huang, Yufan Wen, Shunning Liu, Chun Yuan
Main Conference Track
Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning Jiawei Gu, Yidi Wang, Qingqiang Sun, Xinming Li, Xiao Luo, Ziyue Qiao
Main Conference Track
Robust Distortion-Free Watermark for Autoregressive Audio Generation Models Yihan Wu, Georgios Milis, Ruibo Chen, Heng Huang
Main Conference Track
Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective Wangkai Li, Rui Sun, Zhaoyang Li, Tianzhu Zhang
Main Conference Track
AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models Seunghoon Lee, Jeongwoo Choi, Byunggwan Son, JaeHyeon Moon, Jeimin Jeon, Bumsub Ham
Main Conference Track
ProtoPairNet: Interpretable Regression through Prototypical Pair Reasoning Rose Gurung, Ronilo Ragodos, Chiyu Ma, Tong Wang, Chaofan Chen
Main Conference Track
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers Hao Wei, Aleksandra Franz, Björn List, Nils Thuerey
Main Conference Track
MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs Jan Sobotka, Luca Baroni, Ján Antolík
Main Conference Track
Energy-based generator matching: A neural sampler for general state space Dongyeop Woo, Minsu Kim, Minkyu Kim, Kiyoung Seong, Sungsoo Ahn
Main Conference Track
RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills Chunru Lin, Haotian Yuan, Yian Wang, Xiaowen Qiu, Tsun-Hsuan Johnson Wang, Minghao Guo, Bohan Wang, Yashraj Narang, Dieter Fox, Chuang Gan
Main Conference Track
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning Yang Chen, Zhuolin Yang, Zihan Liu, Chankyu Lee, Peng Xu, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
Main Conference Track
Simple and Efficient Heterogeneous Temporal Graph Neural Network Yili Wang, Tairan Huang, Changlong He, Qiutong Li, Jianliang Gao
Main Conference Track
HairFree: Compositional 2D Head Prior for Text-Driven 360° Bald Texture Synthesis Mirela Ostrek, Michael J. Black, Justus Thies
Main Conference Track
Reasoning Models Sometimes Output Illegible Chains of Thought Arun Jose
Main Conference Track
Auto-Compressing Networks Evangelos Dorovatas, Georgios Paraskevopoulos, Alexandros Potamianos
Main Conference Track
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds Siyu Chen, Theodor Misiakiewicz, Ilias Zadik, Peiyuan Zhang
Main Conference Track
Principled Long-Tailed Generative Modeling via Diffusion Models Pranoy Das, Kexin Fu, Abolfazl Hashemi, Vijay Gupta
Main Conference Track
A Generalist Intracortical Motor Decoder Joel Ye, Fabio Rizzoglio, Xuan Ma, Adam Smoulder, Hongwei Mao, Gary Blumenthal, William Hockeimer, Nicolas Kunigk, Dalton Moore, Patrick Marino, Raeed Chowdhury, J. Patrick Mayo, Aaron Batista, Steven Chase, Michael Boninger, Charles Greenspon, Andrew B Schwartz, Nicholas Hatsopoulos, Lee E. Miller, Kristofer Bouchard, Jennifer Collinger, Leila Wehbe, Robert A. Gaunt
Main Conference Track
Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis Yicong Jiang, Zheng Tracy Ke
Main Conference Track
Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning Xiaomeng Fan, Yuchuan Mao, Zhi Gao, Yuwei Wu, Jin Chen, Yunde Jia
Main Conference Track
Consistent Story Generation: Unlocking the Potential of Zigzag Sampling Mingxiao Li, Mang Ning, Marie-Francine Moens
Main Conference Track
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression Xi Zhang, Xiaolin Wu, Jiamang Wang, Weisi Lin
Main Conference Track
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma, Daniela Rus
Main Conference Track
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection Ignacio Meza De la Jara, Cristian Rodriguez-Opazo, Damien Teney, Damith Ranasinghe, Ehsan Abbasnejad
Main Conference Track
RADAR: Benchmarking Language Models on Imperfect Tabular Data Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Max Xu, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak Patel, Hamid Palangi, Xuhai "Orson" Xu, Daniel McDuff, Tim Althoff, Xin Liu
Datasets and Benchmarks Track
InstructSAM: A Training-free Framework for Instruction-Oriented Remote Sensing Object Recognition Yijie Zheng, Weijie Wu, Qingyun Li, Xuehui Wang, Xu Zhou, Aiai Ren, Jun Shen, Long Zhao, Guoqing Li, Xue Yang
Main Conference Track
SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment QiXu, Dongxu Wei, Lingzhe Zhao, Wenpu Li, Zhangchi Huang, Shunping Ji, Peidong Liu
Main Conference Track
Identifying Macro Causal Effects in C-DMGs over DMGs Simon Ferreira, Charles Assaad
Main Conference Track
Understanding Contrastive Learning via Gaussian Mixture Models Parikshit Bansal, Ali Kavis, Sujay Sanghavi
Main Conference Track
Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity Zichen Liu, Wei Zhang, Tiejun Li
Main Conference Track
Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems Jingxin Zhan, Yuchen Xin, Chenjie Sun, Zhihua Zhang
Main Conference Track
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping Martin Pelikan, Shams Azam, Vitaly Feldman, Jan Silovsky, Kunal Talwar, Christopher Brinton, Tatiana Likhomanenko
Main Conference Track
Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Sohyun An, Ruochen Wang, Tianyi Zhou, Cho-Jui Hsieh
Main Conference Track
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks Xiang Meng, Mehdi Makni, Rahul Mazumder
Main Conference Track
Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks Matthew Dutson, Nathan Labiosa, Yin Li, Mohit Gupta
Main Conference Track
F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning Hangwei Zhang, Chun Kang, Yan Wang, Difan Zou
Main Conference Track
PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs Hanzhen Zhao, Ding Shihong, Cong Fang, Zhouchen Lin
Main Conference Track
Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models Jiaqi Wang, Kevin Qinghong Lin, James Cheng, Mike Zheng Shou
Main Conference Track
Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance Qiang Zhang, Fanrui Zhang, Jiawei Liu, Ming Hu, Junjun He, Zheng-Jun Zha
Main Conference Track
Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization Wenqi Liu, Xuemeng Song, Jiaxi Li, Yinwei Wei, Na Zheng, Jianhua Yin, Liqiang Nie
Main Conference Track
Towards Reliable and Holistic Visual In-Context Learning Prompt Selection Wenxiao Wu, Jing-Hao Xue, Chengming Xu, Chen Liu, Xinwei Sun, Changxin Gao, Nong Sang, Yanwei Fu
Main Conference Track
Image Token Matters: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Weixing Wang, Zifeng Ding, Jindong Gu, RUI CAO, Christoph Meinel, Gerard de Melo, Haojin Yang
Main Conference Track
Variational Pólya Tree Lu Xu, Tsai Hor Chan, Lequan Yu, Kwok Lam, Guosheng Yin
Main Conference Track
Transferring Causal Effects using Proxies Manuel Iglesias-Alonso, Felix Schur, Julius von Kügelgen, Jonas Peters
Main Conference Track
Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning Yeongbin Seo, Dongha Lee, Jaehyung Kim, Jinyoung Yeo
Main Conference Track
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers Yongqi Ding, Lin Zuo, Mengmeng Jing, Kunshan Yang, Pei He, Tonglan Xie
Main Conference Track
MS-BART: Unified Modeling of Mass Spectra and Molecules for Structure Elucidation Yang Han, Pengyu Wang, Kai Yu, xin chen, Lu Chen
Main Conference Track
Isotropic Noise in Stochastic and Quantum Convex Optimization Annie Marsden, Liam O'Carroll, Aaron Sidford, Chenyi Zhang
Main Conference Track
REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders Savya Khosla, Sethuraman T V, Barnett Lee, Alex Schwing, Derek Hoiem
Main Conference Track
Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training Xiaochen Zhao, Chengting Yu, Kairong Yu, Lei Liu, Aili Wang
Main Conference Track
Vid-SME: Membership Inference Attacks against Large Video Understanding Models Qi Li, Runpeng Yu, Xinchao Wang
Main Conference Track
Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection Xiaotian Qiao, Ke Xu, Xianglong Yang, Ruijie Dong, Xiaofang Xia, Jiangtao Cui
Main Conference Track
DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding Xuhui Liao, qiyu wang, Zhiqiang Liang, Liwei Xiao, Junjie Chen
Main Conference Track
BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model Adibvafa Fallahpour, Andrew Magnuson, Purav Gupta, Shihao Ma, Jack Naimer, Arnav Shah, Haonan Duan, Omar Ibrahim, Hani Goodarzi, Chris J Maddison, Bo Wang
Main Conference Track
Noise-Robustness Through Noise: A Framework combining Asymmetric LoRA with Poisoning MoE Zhaokun Wang, Jinyu Guo, Jingwen Pu, ChenLingFeng, Hongli Pu, Jie Ou, Libo Qin, Wenhong Tian
Main Conference Track
Social World Model-Augmented Mechanism Design Policy Learning Xiaoyuan Zhang, Yizhe Huang, Chengdong Ma, Zhixun Chen, Long Ma, Yali Du, Song-Chun Zhu, Yaodong Yang, Xue Feng
Main Conference Track
Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective Wei Feng, Zongyuan Ge
Main Conference Track
Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness Bogdan Chornomaz, Yonatan Koren, Shay Moran, Tom Waknine
Main Conference Track
Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab Error
Datasets and Benchmarks Track
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions Hidde Fokkema, Tim van Erven, Sara Magliacane
Main Conference Track
ZeroSep: Separate Anything in Audio with Zero Training Chao Huang, Yuesheng Ma, Junxuan Huang, Susan Liang, Yunlong Tang, Jing Bi, Wenqiang Liu, Nima Mesgarani, Chenliang Xu
Main Conference Track
LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion Yuan Guo, Qian Ma, Hui Li, Qiao Ning, Furui Zhan, Yu Gu, Ge Yu, Shikai Guo
Main Conference Track
Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning Danni Yang, Zhikang Chen, Sen Cui, Mengyue Yang, Ding Li, Abudukelimu Wuerkaixi, Haoxuan Li, Jinke Ren, Mingming Gong
Main Conference Track
Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms Davide Straziota, Elizaveta Demyanenko, Carlo Baldassi, Carlo Lucibello
Main Conference Track
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Jamie Hayes, Borja Balle, Flavio Calmon, Jean Raisaro
Main Conference Track
Towards Automated Petrography Error
Datasets and Benchmarks Track
A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity Giordano Cicchetti, Eleonora Grassucci, Danilo Comminiello
Main Conference Track
DermaCon-IN: A Multiconcept-Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research Error
Datasets and Benchmarks Track
Can NeRFs "See" without Cameras? Chaitanya Amballa, Yu-Lin Wei, Sattwik Basu, Zhijian Yang, Mehmet Ergezer, Romit Roy Choudhury
Main Conference Track
Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds Rui Wang, Chen Hu, Xiaoning Song, Xiaojun Wu, Nicu Sebe, Ziheng Chen
Main Conference Track
Better Estimation of the Kullback--Leibler Divergence Between Language Models Afra Amini, Tim Vieira, Ryan Cotterell
Main Conference Track
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting Kornel Howil, Joanna Waczynska, Piotr Borycki, Tadeusz Dziarmaga, Marcin Mazur, Przemysław Spurek
Main Conference Track
Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs Shulun Chen, Runlong Zhou, Zihan Zhang, Maryam Fazel, Simon S Du
Main Conference Track
Tensor Product Attention Is All You Need Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Zhen Qin, Yang Yuan, Quanquan Gu, Andrew Yao
Main Conference Track
EyeBench: Predictive Modeling from Eye Movements in Reading Error
Datasets and Benchmarks Track
Bernstein–von Mises for Adaptively Collected Data Kevin Du, Yash Nair, Lucas Janson
Main Conference Track
Validating LLM-as-a-Judge Systems under Rating Indeterminacy Luke Guerdan, Solon Barocas, Kenneth Holstein, Hanna M. Wallach, Steven Z. Wu, Alexandra Chouldechova
Main Conference Track
Head Pursuit: Probing Attention Specialization in Multimodal Transformers Lorenzo Basile, Valentino Maiorca, Diego Doimo, Francesco Locatello, Alberto Cazzaniga
Main Conference Track
Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures Gongyu Chen, Ying Cui
Main Conference Track
CORAL: Disentangling Latent Representations in Long-Tailed Diffusion Esther Rodriguez, Monica Welfert, Samuel McDowell, Nathan Stromberg, Julian Camarena, Lalitha Sankar
Main Conference Track
Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing Danial Samadi Vahdati, Tai D. Nguyen, Ekta Prashnani, Koki Nagano, david luebke, Orazio Gallo, Matthew Stamm
Main Conference Track
LISAt: Language-Instructed Segmentation Assistant for Satellite Imagery Error
Datasets and Benchmarks Track
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Ziyu Zhao, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang
Main Conference Track
Exact Expressive Power of Transformers with Padding Will Merrill, Ashish Sabharwal
Main Conference Track
Real-World Adverse Weather Image Restoration via Dual-Level Reinforcement Learning with High-Quality Cold Start Fuyang Liu, Jiaqi Xu, Xiaowei Hu
Main Conference Track
Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors Ke Liu, Shangde Gao, Yichao Fu, Shangqi Gao
Main Conference Track
Large Language Models as Model Organisms for Human Associative Learning Camila Kolling, Vy Vo, Mariya Toneva
Main Conference Track
Self-Improving Embodied Foundation Models Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan J Tompson, Pannag Sanketi, Igor Mordatch
Main Conference Track
Video Perception Models for 3D Scene Synthesis Rui Huang, Guangyao Zhai, Zuria Bauer, Marc Pollefeys, Federico Tombari, Leonidas Guibas, Gao Huang, Francis Engelmann
Main Conference Track
Axial Neural Networks for Dimension-Free Foundation Models Hyunsu Kim, Jonggeon Park, Joan Bruna, Hongseok Yang, Juho Lee
Main Conference Track
An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination Sukanya Patra, Souhaib Ben Taieb
Main Conference Track
SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines Xeron Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shuyue Guo, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, Dehua Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tianshun Xing, 明许, Zhenzhu Yang, Noah Wang, Junting Zhou, yuelin bai, Xingyuan Bu, chenglin cai, Liang Chen, Yifan Chen, Cheng Chengtuo, Tianhao Cheng, Keyi Ding, Siming Huang, HUANG YUN, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Zhongyuan Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, 王晨清, Hao Wang, Yiya Wang, Yubo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Owen Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, ChenghuaZhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, ZHAO-XIANG ZHANG, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang
Datasets and Benchmarks Track
Dimension-adapted Momentum Outscales SGD Damien Ferbach, Katie Everett, Gauthier Gidel, Elliot Paquette, Courtney Paquette
Main Conference Track
FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing Binrui Shen, LiangYuan, Shengxin Zhu
Main Conference Track
Connecting Neural Models Latent Geometries with Relative Geodesic Representations Hanlin Yu, Berfin Inal, Georgios Arvanitidis, Søren Hauberg, Francesco Locatello, Marco Fumero
Main Conference Track
Distributional Autoencoders Know the Score Andrej Leban
Main Conference Track
Who Reasons in the Large Language Models? Jie Shao, Jianxin Wu
Main Conference Track
Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery Jiyeon Kang, Songseong Kim, Chanhui Lee, Doyeong Hwang, Joanie Chung, Yunkyung Ko, Sumin Lee, Sungwoong Kim, Sungbin Lim
Main Conference Track
Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference Yuan Feng, Junlin Lv, Yukun Cao, Xike Xie, S. Kevin Zhou
Main Conference Track
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction Lipei Zhang, Rui Sun, Zhongying Deng, Yanqi Cheng, Carola-Bibiane Schönlieb, Angelica Aviles-Rivero
Main Conference Track
DAPO: An Open-Source LLM Reinforcement Learning System at Scale Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Weinan Dai, Tiantian Fan, Gaohong Liu, juncai liu, LingJun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang
Main Conference Track
Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance Error
Datasets and Benchmarks Track
Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation Wen-Bo Du, Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Main Conference Track
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation Sohyun Lee, Yeho Gwon, Lukas Hoyer, Suha Kwak
Main Conference Track
Wasserstein Convergence of Critically Damped Langevin Diffusions Stanislas Strasman, Sobihan Surendran, Claire Boyer, Sylvain Le Corff, Vincent Lemaire, Antonio Ocello
Main Conference Track
Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures Shuqing Luo, Ye Han, Pingzhi Li, Jiayin Qin, Jie Peng, Yang Zhao, Yu Cao, Tianlong Chen
Main Conference Track
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang
Main Conference Track
ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS Weijie Wang, Donny Y. Chen, Zeyu Zhang, Duochao Shi, Akide Liu, Bohan Zhuang
Main Conference Track
Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi, Maksim Lapin, Reshinth Adithyan, Amit Raj, Chitta Baral, Yezhou Yang, Varun Jampani
Main Conference Track
IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer Error
Datasets and Benchmarks Track
Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry Masanari Kimura
Main Conference Track
Titans: Learning to Memorize at Test Time Ali Behrouz, Peilin Zhong, Vahab Mirrokni
Main Conference Track
Does Stochastic Gradient really succeed for bandits? Dorian Baudry, Emmeran Johnson, Simon Vary, Ciara Pike-Burke, Patrick Rebeschini
Main Conference Track
Estimation of Treatment Effects in Extreme and Unobserved Data Jiyuan Tan, Vasilis Syrgkanis, Jose Blanchet
Main Conference Track
V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception Lei Yang, Xinyu Zhang, Jun Li, Chen Wang, Jiaqi Ma, Zhiying Song, Tong Zhao, Ziying Song, Li Wang, Mo Zhou, Yang Shen, Kai WU, Chen Lv
Datasets and Benchmarks Track
Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis Yufeng Zou, Zijian Wang, Diego Klabjan, Han Liu
Main Conference Track
OmniSVG: A Unified Scalable Vector Graphics Generation Model Yiying Yang, Wei Cheng, Sijin Chen, Xianfang Zeng, Fukun Yin, Jiaxu Zhang, Liao Wang, Gang Yu, Xingjun Ma, Yu-Gang Jiang
Main Conference Track
VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning Wenhao Li, Qiangchang Wang, Xianjing Meng, Zhibin Wu, Yilong Yin
Main Conference Track
Aligning Compound AI Systems via System-level DPO Xiangwen Wang, Yibo Jacky Zhang, Zhoujie Ding, Katherine Tsai, Haolun Wu, Sanmi Koyejo
Main Conference Track
Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health Error
Position Paper Track
Functional Complexity-adaptive Temporal Tensor Decomposition Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang
Main Conference Track
StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training Ziming Liu, Shaoyu Wang, Shenggan Cheng, Zhongkai Zhao, Kai Wang, Xuanlei Zhao, James Demmel, Yang You
Main Conference Track
Greed is Good: A Unifying Perspective on Guided Generation Zander Blasingame, Chen Liu
Main Conference Track
Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization Andrés Guzmán-Cordero, Felix Dangel, Gil Goldshlager, Marius Zeinhofer
Main Conference Track
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training Brian Bartoldson, Siddarth Venkatraman, James Diffenderfer, Moksh Jain, Tal Ben-Nun, Seanie Lee, Minsu Kim, Johan Obando Ceron, Yoshua Bengio, Bhavya Kailkhura
Main Conference Track
T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning Yanjun Fu, Faisal Hamman, Sanghamitra Dutta
Main Conference Track
Self-Challenging Language Model Agents Yifei Zhou, Sergey Levine, Jason E Weston, Xian Li, Sainbayar Sukhbaatar
Main Conference Track
LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data Zehao Wang, Lin F. Yang, Jie Wang, Kehan Wang, Hanzhu Chen, Bin Wang, Jianye Hao, Defu Lian, Bin Li, Enhong Chen
Main Conference Track
H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting Bing He, Yunuo Chen, Guo Lu, Qi (Cheems) Wang, Qunshan Gu, Rong Xie, Li Song, Wenjun Zhang
Main Conference Track
Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi
Main Conference Track
GoRA: Gradient-driven Adaptive Low Rank Adaptation haonan he, Peng Ye, Yuchen Ren, yuan yuan, LuyangZhou, ShucunJu, lei chen
Main Conference Track
Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths Jindi Lv, Yuhao Zhou, Mingjia Shi, Zhiyuan Liang, Panpan Zhang, Xiaojiang Peng, Wangbo Zhao, Zheng Zhu, Jiancheng Lv, Qing Ye, Kai Wang
Main Conference Track
Tensor-Parallelism with Partially Synchronized Activations Itay Lamprecht, Asaf Karnieli, Yair Hanani, Niv Giladi, Daniel Soudry
Main Conference Track
CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing Xinran Qin, Zhixin Wang, Fan Li, Haoyu Chen, Renjing Pei, Wenbo Li, Xiaochun Cao
Main Conference Track
Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation Hao Helen Zhang, Chun-Han Yao, Simon Donné, Narendra Ahuja, Varun Jampani
Main Conference Track
Understanding and Rectifying Safety Perception Distortion in VLMs Xiaohan Zou, Jian Kang, George Kesidis, Lu Lin
Main Conference Track
On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning Till Freihaut, Giorgia Ramponi
Main Conference Track
Systematic Reward Gap Optimization for Mitigating VLM Hallucinations Lehan He, Zeren Chen, Zhelun Shi, Tianyu Yu, Jing Shao, Lu Sheng
Main Conference Track
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister
Main Conference Track
HyperMARL: Adaptive Hypernetworks for Multi-Agent RL Kale-ab Tessera, Muhammad Arrasy Rahman, Amos J. Storkey, Stefano Albrecht
Main Conference Track
Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models Yiran Guo, Lijie Xu, Jie Liu, DAN YE, Shuang Qiu
Main Conference Track
Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations Chaofan Gan, Yuanpeng Tu, Xi Chen, Tieyuan Chen, Yuxi Li, Mehrtash Harandi, Weiyao Lin
Main Conference Track
Semi-infinite Nonconvex Constrained Min-Max Optimization Cody Melcher, Zeinab Alizadeh, Lindsey Hiett, Afrooz Jalilzadeh, Erfan Yazdandoost Hamedani
Main Conference Track
Time-uniform and Asymptotic Confidence Sequence of Quantile under Local Differential Privacy Leheng Cai, Qirui Hu, Juntao Sun, Shuyuan Wu
Main Conference Track
Fractional Diffusion Bridge Models Gabriel Nobis, Maximilian Springenberg, Arina Belova, Rembert Daems, Christoph Knochenhauer, Manfred Opper, Tolga Birdal, Wojciech Samek
Main Conference Track
Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context Taejong Joo, Diego Klabjan
Main Conference Track
The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control Yichen Wang, Yudong Chen, Lorenzo Rosasco, Fanghui Liu
Main Conference Track
Revisiting Orbital Minimization Method for Neural Operator Decomposition Jongha (Jon) Ryu, Samuel Zhou, Gregory Wornell
Main Conference Track
Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards Honghao Chen, Xingzhou Lou, Xiaokun Feng, Kaiqi Huang, Xinlong Wang
Main Conference Track
Checklists Are Better Than Reward Models For Aligning Language Models Vijay Viswanathan, Yanchao Sun, Xiang Kong, Meng Cao, Graham Neubig, Sherry Wu
Main Conference Track
Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix Ming Wen, Jiaqi Zhu, Yuedong Xu, Yipeng Zhou, DINGDING HAN
Main Conference Track
Imagined Autocurricula Ahmet Hamdi Güzel, Matthew T. Jackson, Jarek Liesen, Tim Rocktäschel, Jakob Foerster, Ilija Bogunovic, Jack Parker-Holder
Main Conference Track
Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation xin zhang, Ziruo Zhang, JIAWEI DU, Zuozhu Liu, Joey Tianyi Zhou
Main Conference Track
VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting Hoonhee Cho, Jae-Young Kang, Giwon Lee, Hyemin Yang, Heejun Park, Seokwoo Jung, Kuk-Jin Yoon
Main Conference Track
HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation Xiaolong Xu, Xudong Zhao, Haolong Xiang, Xuyun Zhang, Wei Shen, Hongsheng Hu, Lianyong Qi
Main Conference Track
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models Yu Zhou, Xingyu Wu, Jibin Wu, Liang Feng, KC Tan
Main Conference Track
NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods Error
Datasets and Benchmarks Track
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu, Diego Klabjan
Main Conference Track
Transformers for Mixed-type Event Sequences Felix Draxler, Yang Meng, Kai Nelson, Lukas Laskowski, Yibo Yang, Theofanis Karaletsos, Stephan Mandt
Main Conference Track
Improving Model-Based Reinforcement Learning by Converging to Flatter Minima Shrinivas Ramasubramanian, Benjamin Freed, Alexandre Capone, Jeff G. Schneider
Main Conference Track
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension Cynthia Dwork, Lunjia Hu, Han Shao
Main Conference Track
Bandit Guided Submodular Curriculum for Adaptive Subset Selection Prateek Chanda, Prayas Agrawal, Saral Sureka, Lokesh Reddy Polu, Atharv Kshirsagar, Ganesh Ramakrishnan
Main Conference Track
Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval Siting Li, Xiang Gao, Simon S Du
Main Conference Track
Understanding Adam Requires Better Rotation Dependent Assumptions Tianyue Zhang, Lucas Maes, Alan Milligan, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas, Damien Scieur, Simon Lacoste-Julien, Charles Guille-Escuret
Main Conference Track
Optimal Regret of Bandits under Differential Privacy Achraf Azize, Yulian Wu, Junya Honda, Francesco Orabona, Shinji Ito, Debabrota Basu
Main Conference Track
SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation Yimu Zhang, Dongqi Han, Yansen Wang, Zhenning Lv, Yu Gu, Dongsheng Li
Main Conference Track
Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling Hongtao Xu, Wenting Shen, Yuanxin Wei, Ang Wang, Guo Runfan, Tianxing Wang, Yong Li, Mingzhen Li, Weile Jia
Main Conference Track
REOrdering Patches Improves Vision Models Declan Kutscher, David Chan, Yutong Bai, Trevor Darrell, Ritwik Gupta
Main Conference Track
Disentangling misreporting from genuine adaptation in strategic settings: a causal approach Dylan Zapzalka, Trenton Chang, Lindsay Warrenburg, Sae-Hwan Park, Daniel Shenfeld, Ravi B. Parikh, Jenna Wiens, Maggie Makar
Main Conference Track
More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models Hongkai Lin, Dingkang Liang, Mingyang Du, Xin Zhou, Xiang Bai
Main Conference Track
A Latent Multilayer Graphical Model For Complex, Interdependent Systems Martin Ondrus, Ivor Cribben, Yang Feng
Main Conference Track
Low-degree evidence for computational transition of recovery rate in stochastic block model Jingqiu Ding, Yiding Hua, Lucas Slot, David Steurer
Main Conference Track
Surprise3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Jiaxin Huang, Ziwen Li, Hanlue Zhang, Runnan Chen, Zhengqing Gao, Xiao He, Yandong Guo, Wenping Wang, Tongliang Liu, Mingming Gong
Datasets and Benchmarks Track
OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions Yuanhao Cai, HE Zhang, Xi Chen, Jinbo Xing, Yiwei Hu, Yuqian Zhou, Kai Zhang, Zhifei Zhang, Soo Ye Kim, Tianyu Wang, Yulun Zhang, Xiaokang Yang, Zhe Lin, Alan L. Yuille
Main Conference Track
InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention Qiang Xiang, Shuang Sun, Binglei Li, Dejia Song, Huaxia Li, Yibo Chen, Xu Tang, Yao Hu, Junping Zhang
Main Conference Track
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning Shenzhi Wang, Le Yu, Chang Gao, Chujie Zheng, Shixuan Liu, Rui Lu, Kai Dang, Xiong-Hui Chen, Jianxin Yang, Zhenru Zhang, Yuqiong Liu, An Yang, Andrew Zhao, Yang Yue, Shiji Song, Bowen Yu, Gao Huang, Junyang Lin
Main Conference Track
Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models Jiaqi Cao, Jiarui Wang, Rubin Wei, Qipeng Guo, Kai Chen, Bowen Zhou, Zhouhan Lin
Main Conference Track
ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding Jialiang Kang, Han Shu, Wenshuo Li, Yingjie Zhai, Xinghao Chen
Main Conference Track
Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game Tingting Dan, Xinwei Huang, Won Hwa Kim, Guorong Wu
Main Conference Track
From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography RUOFAN LIU, YICHEN PENG, Takanori Oku, Chen-Chieh Liao, Erwin Wu, Shinichi Furuya, Hideki Koike
Main Conference Track
STree: Speculative Tree Decoding for Hybrid State Space Models Yangchao Wu, Zongyue Qin, Alex Wong, Stefano Soatto
Main Conference Track
Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers Andrew Nam, Henry Conklin, Yukang Yang, Tom Griffiths, Jonathan D Cohen, Sarah-Jane Leslie
Main Conference Track
CLEVER: A Curated Benchmark for Formally Verified Code Generation Error
Datasets and Benchmarks Track
Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO Chengzhuo Tong, Ziyu Guo, Renrui Zhang, Wenyu Shan, Xinyu Wei, Zhenghao Xing, Hongsheng Li, Pheng-Ann Heng
Main Conference Track
Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands Vasiliki Tassopoulou, Charis Stamouli, Haochang Shou, George J. Pappas, Christos Davatzikos
Main Conference Track
Rethinking Evaluation of Infrared Small Target Detection Error
Datasets and Benchmarks Track
Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis Tony Yousefnezhad
Main Conference Track
From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling Marien Renaud, Valentin De Bortoli, Arthur Leclaire, Nicolas Papadakis
Main Conference Track
Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model Kotaro Ikeda, Masanori Koyama, Jinzhe Zhang, Kohei Hayashi, Kenji Fukumizu
Main Conference Track
Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function Maria-Florina Balcan, Anh Nguyen, Dravyansh Sharma
Main Conference Track
Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold Xinghan Li, Haodong Wen, Kaifeng Lyu
Main Conference Track
Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting Kangjie Chen, Yingji Zhong, Zhihao Li, Jiaqi Lin, Youyu Chen, Minghan Qin, Haoqian Wang
Main Conference Track
Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering Tianxiang Zhao, Youqing Wang, Jinlu Wang, Jiapu Wang, Mingliang Cui, Junbin Gao, Jipeng Guo
Main Conference Track
Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra Ziyu Xiong, Yichi Zhang, Foyez Alauddin, Chu Xin Cheng, Joon An, Mohammad Seyedsayamdost, Ellen D. Zhong
Main Conference Track
Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding Haoran Zhou, Gim Hee Lee
Main Conference Track
SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering Zeyu Zhu, KE LIANG, Lingyuan Meng, Meng Liu, Suyuan Liu, Renxiang Guan, Miaomiao Li, Wanwei Liu, Xinwang Liu
Main Conference Track
Thresholds for sensitive optimality and Blackwell optimality in stochastic games Stephane Gaubert, Julien Grand-Clément, Ricardo Katz
Main Conference Track
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration Yiyuan Pan, Zhe Liu, Hesheng Wang
Main Conference Track
On Logic-based Self-Explainable Graph Neural Networks Alessio Ragno, Marc Plantevit, Céline Robardet
Main Conference Track
Walking the Tightrope: Autonomous Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning Xiaoyu Yang, Jie Lu, En Yu
Main Conference Track
Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi
Main Conference Track
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement Derong Kong, Zhixiong Yang, Shengxi Li, Shuaifeng Zhi, Li Liu, Zhen Liu, Jingyuan Xia
Main Conference Track
SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents Yifu Guo, Jiaye Lin, Huacan Wang, Yuzhen Han, Sen Hu, Ziyi Ni, Licheng Wang, Mingguang Chen
Main Conference Track
SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks Hwiwon Lee, Ziqi Zhang, Hanxiao Lu, LINGMING ZHANG
Main Conference Track
LittleBit: Ultra Low-Bit Quantization via Latent Factorization Banseok Lee, Dongkyu Kim, Youngcheon You, Youngmin Kim
Main Conference Track
Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks Wentao Deng, Jiahuan Pei, Zhiwei Xu, Zhaochun Ren, Zhumin Chen, Pengjie Ren
Main Conference Track
Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy David Dang, Myoung-Gyun Suh, Maodong Gao, ByoungJun Park, Beyonce Hu, Yucheng Jin, Wilton Kort-Kamp, Ho Lee
Main Conference Track
Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning Yuqi Jia, Minghong Fang, Hongbin Liu, Jinghuai Zhang, Neil Gong
Main Conference Track
Flow Matching Neural Processes Hussen Abu Hamad, Dan Rosenbaum
Main Conference Track
GRIT: Teaching MLLMs to Think with Images Yue Fan, Xuehai He, Diji Yang, Kaizhi Zheng, Ching-Chen Kuo, Yuting Zheng, Xinze Guan, Xin Wang
Main Conference Track
Differentially Private High-dimensional Variable Selection via Integer Programming Petros Prastakos, Kayhan Behdin, Rahul Mazumder
Main Conference Track
Non-convex entropic mean-field optimization via Best Response flow Razvan-Andrei Lascu, Mateusz Majka
Main Conference Track
MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification Junjie Zhou, WEI SHAO, Yagao Yue, Wei Mu, Peng Wan, Qi Zhu, Daoqiang Zhang
Main Conference Track
Exponential Convergence Guarantees for Iterative Markovian Fitting Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus
Main Conference Track
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan Arik, Tomas Pfister
Main Conference Track
Foundations of Top-$k$ Decoding for Language Models Georgy Noarov, Soham Mallick, Tao Wang, Sunay Joshi, Yan Sun, Yangxinyu Xie, Mengxin Yu, Edgar Dobriban
Main Conference Track
EgoExoBench: A Benchmark for First- and Third-person View Video Understanding in MLLMs Error
Datasets and Benchmarks Track
Hybrid Re-matching for Continual Learning with Parameter-Efficient Tuning Weicheng Wang, Guoli Jia, Xialei Liu, Liang Lin, Jufeng Yang
Main Conference Track
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via, Enzo Tartaglione, Francesca Odone, Vittorio Murino
Main Conference Track
Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval Delong Liu, Haiwen Li, Zhaohui Hou, Zhicheng Zhao, Fei Su, Yuan Dong
Main Conference Track
LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits Duy M. H. Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
Main Conference Track
From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries Joy Hsu, Emily Jin, Jiajun Wu, Niloy Mitra
Main Conference Track
SimpleStrat: Diversifying Language Model Generation with Stratification Justin Wong, Yury Orlovskiy, Alexander Shypula, Michael Luo, Sanjit A. Seshia, Joseph E Gonzalez
Main Conference Track
Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training Will Merrill, Shane Arora, Dirk Groeneveld, Hanna Hajishirzi
Main Conference Track
Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models Qingsong Wang, Zhengchao Wan, Misha Belkin, Yusu Wang
Main Conference Track
Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning Yurun Yuan, Fan Chen, Zeyu Jia, Alexander Rakhlin, Tengyang Xie
Main Conference Track
Interpretable Next-token Prediction via the Generalized Induction Head Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao
Main Conference Track
Angular Constraint Embedding via SpherePair Loss for Constrained Clustering Shaojie Zhang, Ke Chen
Main Conference Track
Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation Jinyang Li, Jack Williams, Nick McKenna, Arian Askari, Nicholas Wilson, Reynold Cheng
Main Conference Track
Learning to Reason under Off-Policy Guidance Jianhao Yan, Yafu Li, Zican Hu, Zhi Wang, Ganqu Cui, Xiaoye Qu, Yu Cheng, Yue Zhang
Main Conference Track
Second-Order Convergence in Private Stochastic Non-Convex Optimization Youming Tao, Zuyuan Zhang, Dongxiao Yu, Xiuzhen Cheng, Falko Dressler, Di Wang
Main Conference Track
SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes Xuyuan Xiong, Pedro Chumpitaz-Flores, Kaixun Hua, Cheng Hua
Main Conference Track
Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation Error
Datasets and Benchmarks Track
GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction Error
Datasets and Benchmarks Track
Safety Depth in Large Language Models: A Markov Chain Perspective Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu, Chu-Song Chen
Main Conference Track
Real-World Reinforcement Learning of Active Perception Behaviors Edward Hu, Jie Wang, Xingfang Yuan, Fiona Luo, Muyao Li, Gaspard Lambrechts, Oleh Rybkin, Dinesh Jayaraman
Main Conference Track
TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics Tianrong Chen, Huangjie Zheng, David Berthelot, Jiatao Gu, Joshua Susskind, Shuangfei Zhai
Main Conference Track
DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting Lingzhuang Meng, Mingwen Shao, Yuanjian Qiao, Xiang Lv
Main Conference Track
Low-Rank Head Avatar Personalization with Registers Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Md Moniruzzaman, Chen-Ping Yu, Yi-Hsuan Tsai, Dimitris Samaras
Main Conference Track
Reasoning Beyond Points: A Visual Introspective Approach for Few-Shot 3D Segmentation Changshuo Wang, Shuting He, Xiang Fang, Zhijian Hu, JIA-HONG HUANG, Yixian Shen, Prayag Tiwari
Main Conference Track
Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold Ido Cohen, Ronen Talmon
Main Conference Track
Is Limited Participant Diversity Impeding EEG-based Machine Learning? Philipp Bomatter, Henry Gouk
Main Conference Track
Aligning Transformers with Continuous Feedback via Energy Rank Alignment Shriram Chennakesavalu, Frank Hu, Sebastian Ibarraran, Grant M. Rotskoff
Main Conference Track
The Promise of RL for Autoregressive Image Editing Saba Ahmadi, Rabiul Awal, Ankur Sikarwar, Amirhossein Kazemnejad, Ge Ya Luo, Juan Rodriguez, Sai Rajeswar Mudumba, Siva Reddy, Chris Pal, Benno Krojer, Aishwarya Agrawal
Main Conference Track
Benford’s Curse: Tracing Digit Bias to Numerical Hallucination in LLMs Jiandong Shao, Yao Lu, Jianfei Yang
Main Conference Track
Interactive Anomaly Detection for Articulated Objects via Motion Anticipation Ankan Bhunia, Changjian Li, Hakan Bilen
Main Conference Track
ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs Jiale Ma, Wenzheng Pan, Yang Li, Junchi Yan
Datasets and Benchmarks Track
Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models Cameron Tice, Philipp Kreer, Nathan Helm-Burger, Prithviraj Shahani, Fedor Ryzhenkov, Fabien Roger, Clement Neo, Jacob Haimes, Felix Hofstätter, Teun van der Weij
Main Conference Track
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction Zhongyi Yu, Jianqiu Wu, Zhenghao Wu, Shuhan Zhong, Weifeng Su, Chul-Ho Lee, Weipeng Zhuo
Main Conference Track
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference Kyurae Kim, Yian Ma, Trevor Campbell, Jacob Gardner
Main Conference Track
Synthetic-powered predictive inference Meshi Bashari, Roy Maor Lotan, Yonghoon Lee, Edgar Dobriban, Yaniv Romano
Main Conference Track
Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning Yihong Tang, Kehai Chen, Muyun Yang, Zheng-Yu Niu, Jing Li, Tiejun Zhao, Min zhang
Main Conference Track
Antidistillation Sampling Yash Savani, Asher Trockman, Zhili Feng, Yixuan Even Xu, Avi Schwarzschild, Alexander Robey, Marc Finzi, Zico Kolter
Main Conference Track
SuperCLIP: CLIP with Simple Classification Supervision Weiheng Zhao, Zilong Huang, Jiashi Feng, Xinggang Wang
Main Conference Track
Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting Haoyu Zhang, Yinan Zhang, Chaolong Ying, Xiaoying Tang, Tianshu Yu
Main Conference Track
Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens Bohan Wang, Mingze Zhou, Zhongqi Yue, wang lin, Kaihang Pan, Liyu Jia, Wentao Hu, Wei Zhao, Hanwang Zhang
Main Conference Track
FedIGL: Federated Invariant Graph Learning for Non-IID Graphs Lingren Wang, Wenxuan Tu, Jiaxin Wang, Xiong Wang, Jieren Cheng, Jingxin Liu
Main Conference Track
Sign-In to the Lottery: Reparameterizing Sparse Training Advait Gadhikar, Tom Jacobs, chao zhou, Rebekka Burkholz
Main Conference Track
Subgraph Federated Learning via Spectral Methods Javad Aliakbari, Johan Oestman, Ashkan Panahi, Alexandre Graell i Amat
Main Conference Track
STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization Haoyu Zhang, WentaoZhang, Hao Miao, Xinke Jiang, Yuchen Fang, Yifan Zhang
Main Conference Track
VIKI‑R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning Li Kang, Xiufeng Song, Heng Zhou, Yiran Qin, Jie Yang, Xiaohong Liu, Philip H.S. Torr, LEI BAI, Zhenfei Yin
Datasets and Benchmarks Track
Balanced Conic Rectified Flow Kim Shin seong, Mingi Kwon, Jaeseok Jeong, Youngjung Uh
Main Conference Track
CALM: Culturally Self-Aware Language Models Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel
Main Conference Track
LLM Meeting Decision Trees on Tabular Data Hangting Ye, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang
Main Conference Track
Safely Learning Controlled Stochastic Dynamics Luc Brogat-Motte, Alessandro Rudi, Riccardo Bonalli
Main Conference Track
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation Patrick Kahardipraja, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Main Conference Track
Each Complexity Deserves a Pruning Policy Hanshi Wang, Yuhao Xu, Zekun Xu, Jin Gao, Yufan Liu, Weiming Hu, Ke Wang, Zhipeng Zhang
Main Conference Track
TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving Yanping Fu, Xinyuan Liu, Tianyu Li, Yike Ma, Yucheng Zhang, Feng Dai
Main Conference Track
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, Huaiyu Wan
Main Conference Track
ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks Huiri Tan, Juyong Jiang, Jiasi Shen
Main Conference Track
MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research Hui Chen, Miao Xiong, Yujie Lu, Wei Han, Ailin Deng, Yufei He, Jiaying Wu, Yibo Li, Yue Liu, Bryan Hooi
Datasets and Benchmarks Track
ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts Linfeng Tang, Yeda Wang, Zhanchuan Cai, Junjun Jiang, Jiayi Ma
Main Conference Track
Dense Associative Memory with Epanechnikov Energy Benjamin Hoover, Zhaoyang Shi, Krishnakumar Balasubramanian, Dmitry Krotov, Parikshit Ram
Main Conference Track
The Flood Complex: Large-Scale Persistent Homology on Millions of Points Florian Graf, Paolo Pellizzoni, Martin Uray, Stefan Huber, Roland Kwitt
Main Conference Track
High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model Valentin Schmutz, Ali Haydaroğlu, Shuqi Wang, Yixiao Feng, Matteo Carandini, Kenneth D Harris
Main Conference Track
In-Context Learning Strategies Emerge Rationally Daniel Wurgaft, Ekdeep S Lubana, Core Francisco Park, Hidenori Tanaka, Gautam Reddy, Noah D. Goodman
Main Conference Track
CHASM: Unveiling Covert Advertisements on Chinese Social Media Error
Datasets and Benchmarks Track
Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought Chao Huang, Benfeng Wang, Wei Wang, Jie Wen, Chengliang Liu, Li Shen, Xiaochun Cao
Main Conference Track
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning Yaxin Hou, Bo Han, Yuheng Jia, Hui LIU, Junhui Hou
Main Conference Track
BrainODE: Neural Shape Dynamics for Age- and Disease-aware Brain Trajectories Wonjung Park, Suhyun Ahn, Maria Hernandez, Susana Maniega, Jinah Park
Main Conference Track
Simulating Society Requires Simulating Thought Error
Position Paper Track
Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling Zhihao Li, Yufei Wang, Heliang Zheng, Yihao Luo, Bihan Wen
Main Conference Track
Uncertainty Estimation by Flexible Evidential Deep Learning Taeseong Yoon, Heeyoung Kim
Main Conference Track
T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models Jindong Yang, Han Fang, Weiming Zhang, Nenghai Yu, Kejiang Chen
Main Conference Track
Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming Hongyu Cheng, Amitabh Basu
Main Conference Track
Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Sangli Teng, Harry Zhang, David Jin, Ashkan Jasour, Ram Vasudevan, Maani Ghaffari, Luca Carlone
Main Conference Track
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching Zhuo Cao, Xuan Zhao, Lena Krieger, Hanno Scharr, Ira Assent
Main Conference Track
Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation Ibuki Maeda, Yao, Atsushi Nitanda
Main Conference Track
Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation Weibin Liao, Tianlong Wang, Yinghao Zhu, Yasha Wang, Junyi Gao, Liantao Ma
Main Conference Track
SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement Xiyao Wang, Zhengyuan Yang, Chao Feng, Hongjin Lu, Linjie Li, Chung-Ching Lin, Kevin Lin, Furong Huang, Lijuan Wang
Main Conference Track
Learning Juntas under Markov Random Fields Gautam Chandrasekaran, Adam Klivans
Main Conference Track
HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs Saleh Ashkboos, Mahdi Nikdan, Rush Tabesh, Roberto Castro, Torsten Hoefler, Dan Alistarh
Main Conference Track
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization Yuante Li, Xu Yang, Xiao Yang, Xisen Wang, Weiqing Liu, Jiang Bian
Datasets and Benchmarks Track
Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder Qi Xin, Robert E Kass
Main Conference Track
SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation Claudia Cuttano, Gabriele Trivigno, Giuseppe Averta, Carlo Masone
Main Conference Track
Parallel Scaling Law for Language Models Mouxiang Chen, Binyuan Hui, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Jianling Sun, Junyang Lin, Zhongxin Liu
Main Conference Track
SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing Mingfei Chen, Zijun Cui, Xiulong Liu, Jinlin Xiang, Yang Zheng, Jingyuan Li, Eli Shlizerman
Main Conference Track
OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields Lisa Weijler, Sebastian Koch, Fabio Poiesi, Timo Ropinski, Pedro Hermosilla
Main Conference Track
NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Roman Jacome, Romario Gualdrón-Hurtado, León Suárez-Rodríguez, Henry Arguello
Main Conference Track
Quantum Speedups for Minimax Optimization and Beyond Chengchang Liu, Zongqi Wan, Institute of Computing Jialin Zhang, Institute of Computing Xiaoming Sun, John C. S. Lui
Main Conference Track
SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization Tongtong Su, Yun Liao, Fengbo Zheng
Main Conference Track
VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception Ziang Yan, Yinan He, Xinhao Li, Zhengrong Yue, Xiangyu Zeng, Yali Wang, Yu Qiao, Limin Wang, Yi Wang
Main Conference Track
FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges Error
Datasets and Benchmarks Track
Finite-Time Bounds for Average-Reward Fitted Q-Iteration Jongmin Lee, Ernest K. Ryu
Main Conference Track
Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy Nan Li, Yonghui Su, Lianbo Ma
Main Conference Track
Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering yuyang Hong, Jiaqi Gu, Yang Qi, Lubin Fan, Yue Wu, Ying Wang, Kun Ding, SHIMING XIANG, Jieping Ye
Main Conference Track
RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning Kaiwen Zha, Zhengqi Gao, Maohao Shen, Zhang-Wei Hong, Duane Boning, Dina Katabi
Main Conference Track
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference Zichen Wang, Haoyang Hong, Chuanhao Li, Haoxuan Li, Zhiheng Zhang, Huazheng Wang
Main Conference Track
SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem Error
Datasets and Benchmarks Track
How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs Samet Demir, Zafer Dogan
Main Conference Track
On the VC dimension of deep group convolutional neural networks Anna Sepliarskaia, Sophie Langer, Johannes Schmidt-Hieber
Main Conference Track
Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning Chaofan Lin, Jiaming Tang, Shuo Yang, Hanshuo Wang, Tian Tang, Boyu Tian, Ion Stoica, Song Han, Mingyu Gao
Main Conference Track
Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks Roberto Gheda, Abele Mălan, Thiago Guzella, Carlo Lancia, Robert Birke, Lydia Chen
Main Conference Track
GoalLadder: Incremental Goal Discovery with Vision-Language Models Alexey Zakharov, Shimon Whiteson
Main Conference Track
SyncHuman: Synchronizing 2D and 3D Generative Models for Single-view Human Reconstruction Wenyue Chen, Peng Li, Wangguandong Zheng, Chengfeng Zhao, Mengfei Li, Yaolong Zhu, Zhiyang Dou, Ronggang Wang, Yuan Liu
Main Conference Track
LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering Qianqian Wang, Qianqian Wang
Main Conference Track
Emergent Risk Awareness in Rational Agents under Resource Constraints Daniel Jarne Ornia, Nicholas Bishop, Joel Dyer, Wei-Chen Lee, Anisoara Calinescu, Doyne Farmer, Michael Wooldridge
Main Conference Track
AliO: Output Alignment Matters in Long-Term Time Series Forecasting Kwangryeol Park, Jaeho Kim, Seulki Lee
Main Conference Track
Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules John Vastola, Samuel J Gershman, Kanaka Rajan
Main Conference Track
The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning Error
Datasets and Benchmarks Track
Conditioning Matters: Training Diffusion Policies is Faster Than You Think Zibin Dong, Yicheng Liu, Yinchuan Li, Hang Zhao, Jianye Hao
Main Conference Track
InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Yanggan Gu, Fei Wu, Hongxia Yang
Main Conference Track
LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers Liting Lin, Heng Fan, Zhipeng Zhang, Yuqing Huang, Yaowei Wang, Yong Xu, Haibin Ling
Main Conference Track
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA Seanie Lee, Sangwoo Park, Dong Bok Lee, Dominik Wagner, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
Main Conference Track
Knowledge Distillation Detection for Open-weights Models Qin Shi, Amber Yijia Zheng, Qifan Song, Raymond A. Yeh
Main Conference Track
FHGS: Feature-Homogenized Gaussian Splatting qigeng duan, Benyun ZHAO, Mingqiao Han, Yijun Huang, Ben Chen
Main Conference Track
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients Jiaqi Xue, Mayank Kumar, Yuzhang Shang, Shangqian Gao, Rui Ning, Mengxin Zheng, Xiaoqian Jiang, Qian Lou
Main Conference Track
Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights Alina Ene, Ta Duy Nguyen, Adrian Vladu
Main Conference Track
Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free Stephen Zhang, Michael Stumpf
Main Conference Track
Redundancy-Aware Test-Time Graph Out-of-Distribution Detection Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Junran Wu, Ke Xu
Main Conference Track
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score Mohammad Jalali, Haoyu Lei, Amin Gohari, Farzan Farnia
Main Conference Track
Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection Chanhyeong Yang, Taehoon song, Jihwan Park, Hyunwoo J. Kim
Main Conference Track
DroneAudioset: An Audio Dataset for Drone-based Search and Rescue Error
Datasets and Benchmarks Track
ComRank: Ranking Loss for Multi-Label Complementary Label Learning Jing-Yi Zhu, Yi Gao, Miao Xu, Min-Ling Zhang
Main Conference Track
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA Shuangyi Chen, Yuanxin Guo, Yue Ju, Hardik Dalal, Zhongwen Zhu, Ashish Khisti
Main Conference Track
LawShift: Benchmarking Legal Judgment Prediction Under Statute Shifts Zhuo Han, Yi Yang, Yi Feng, Wanhong Huang, Ding Xuxing, Chuanyi Li, Jidong Ge, Vincent Ng
Datasets and Benchmarks Track
WebThinker: Empowering Large Reasoning Models with Deep Research Capability Xiaoxi Li, Jiajie Jin, Guanting Dong, Hongjin Qian, Yongkang Wu, Ji-Rong Wen, Yutao Zhu, Zhicheng Dou
Main Conference Track
Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers Nima Hosseini Dashtbayaz, Hesam Salehipour, Adrian Butscher, Nigel Morris
Main Conference Track
Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism Mete Erdogan, Cengiz Pehlevan, Alper Erdogan
Main Conference Track
Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms Ziwei Li, Bo Sun, Zhiqiu Zhang, Mohammad Hajiesmaili, Binghan Wu, Lin F. Yang, Yang Gao
Main Conference Track
MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction Xuhui Chen, Fei Hou, Wencheng Wang, Hong Qin, Ying He
Main Conference Track
Tight Lower Bounds and Improved Convergence in Performative Prediction Pedram Khorsandi, Rushil Gupta, Mehrnaz Mofakhami, Simon Lacoste-Julien, Gauthier Gidel
Main Conference Track
Learning Dense Hand Contact Estimation from Imbalanced Data Daniel Jung, Kyoung Mu Lee
Main Conference Track
Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction Jiacong Chen, Qingyu Mao, Youneng Bao, Xiandong MENG, Fanyang Meng, Ronggang Wang, Yongsheng Liang
Main Conference Track
Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions Ofir Gaash, Kfir Y. Levy, Yair Carmon
Main Conference Track
Attention Mechanism, Max-Affine Partition, and Universal Approximation Hude Liu, Jerry Yao-Chieh Hu, Zhao Song, Han Liu
Main Conference Track
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation Moru Liu, Hao Dong, Jessica Kelly, Olga Fink, Mario Trapp
Main Conference Track
Block-Biased Mamba for Long-Range Sequence Processing Annan Yu, N. Benjamin Erichson
Main Conference Track
Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation Yuxuan Zhang, Zhenbo Shi, han ye, Shuchang Wang, Zhidong Yu, Shaowei Wang, Wei Yang
Main Conference Track
Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs Houyi Li, Wenzhen Zheng, Qiufeng Wang, Zhenyu Ding, Haoying Wang, Zili Wang, Shijie Xuyang, Ning DING, Shuigeng Zhou, Xiangyu Zhang, Daxin Jiang
Main Conference Track
Language Ranker: A Lightweight Ranking framework for LLM Decoding Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin
Main Conference Track
Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint? Xi Chen, Kaituo Feng, Changsheng Li, Xunhao Lai, Xiangyu Yue, Ye Yuan, Guoren Wang
Main Conference Track
OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling Haoyang Liu, Jie Wang, Yuyang Cai, Xiongwei Han, Yufei Kuang, Jianye Hao
Main Conference Track
OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models Error
Datasets and Benchmarks Track
CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning Man Ho Lam, Chaozheng Wang, Jen-Tse Huang, Michael R Lyu
Main Conference Track
Token-Level Self-Play with Importance-Aware Guidance for Large Language Models Tue Le, Hoang Tran, Quyen Tran, Linh Ngo, Mehrtash Harandi, Trung Le
Main Conference Track
RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation Songhao Han, Boxiang Qiu, Yue Liao, Siyuan Huang, Chen Gao, Shuicheng Yan, Si Liu
Datasets and Benchmarks Track
Towards Pre-trained Graph Condensation via Optimal Transport Yeyu Yan, Shuai Zheng, Wenjun Hui, Xiangkai Zhu, Chen Dong, Zhenfeng Zhu, Yao Zhao, Kunlun He
Main Conference Track
TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search Akash Kundu, Stefano Mangini
Main Conference Track
MobileODE: An Extra Lightweight Network Le Yu, Jun Wu, Bo Gou, Xiangde Min, Lei Zhang, Zhang Yi, Tao He
Main Conference Track
WebDancer: Towards Autonomous Information Seeking Agency Jialong Wu, Baixuan Li, Runnan Fang, Wenbiao Yin, Liwen Zhang, Zhenglin Wang, Zhengwei Tao, Ding-Chu Zhang, Zekun Xi, Robert Tang, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou
Main Conference Track
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Angel Bautista, Joshua Susskind, Shuangfei Zhai
Main Conference Track
Why Popular MOEAs Are Popular: Proven Advantages in Approximating the Pareto Front Mingfeng Li, Qiang Zhang, Weijie Zheng, Benjamin Doerr
Main Conference Track
A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization Hongxu Chen, Ke Wei, Haishan Ye, Luo Luo
Main Conference Track
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models Simone Carnemolla, Matteo Pennisi, Sarinda Samarasinghe, Giovanni Bellitto, Simone Palazzo, Daniela Giordano, Mubarak Shah, Concetto Spampinato
Main Conference Track
Position: Biology is the Challenge Physics-Informed ML Needs to Evolve Error
Position Paper Track
Fully Spiking Neural Networks for Unified Frame-Event Object Tracking Jingjun Yang, Liangwei Fan, Jinpu Zhang, Xiangkai Lian, Hui Shen, Dewen Hu
Main Conference Track
Bridging the gap to real-world language-grounded visual concept learning whie jung, Semin Kim, Junee Kim, Seunghoon Hong
Main Conference Track
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Raphael Romero, Tijl De Bie, Nick Heard, Alexander Modell
Main Conference Track
Order-Level Attention Similarity Across Language Models: A Latent Commonality Jinglin Liang, Jin Zhong, Shuangping Huang, Yunqing Hu, Huiyuan Zhang, Huifang Li, Lixin Fan, Hanlin Gu
Main Conference Track
Learning to Condition: A Neural Heuristic for Scalable MPE Inference Brij Malhotra, Shivvrat Arya, Tahrima Rahman, Vibhav G Gogate
Main Conference Track
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere Li Ju, Max Andersson, Stina Fredriksson, Edward Glöckner, Andreas Hellander, Ekta Vats, Prashant Singh
Main Conference Track
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao
Main Conference Track
Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation Xiao Cui, Yulei Qin, Wengang Zhou, Hongsheng Li, Houqiang Li
Main Conference Track
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Behrad Moniri, Hamed Hassani
Main Conference Track
Probing Equivariance and Symmetry Breaking in Convolutional Networks Sharvaree Vadgama, Mohammad Islam, Domas Buracas, Christian A Shewmake, Artem Moskalev, Erik Bekkers
Main Conference Track
Compositional Monte Carlo Tree Diffusion for Extendable Planning Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn
Main Conference Track
Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number Jingyuan Zhou, Hao Qian, Shikui Tu, Lei Xu
Main Conference Track
Curly Flow Matching for Learning Non-gradient Field Dynamics Katarina Petrović, Lazar Atanackovic, Viggo Moro, Kacper Kapusniak, Ismail Ilkan Ceylan, Michael Bronstein, Joey Bose, Alexander Tong
Main Conference Track
Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics Minseok Jeong, Giup Seo, Euiseok Hwang
Main Conference Track
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization Michael Green, Matan Levy, Issar Tzachor, Dvir Samuel, Nir Darshan, Rami Ben-Ari
Main Conference Track
Angular Steering: Behavior Control via Rotation in Activation Space Minh Hieu Vu, Tan M. Nguyen
Main Conference Track
Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs Geonho Hwang
Main Conference Track
Optimism Without Regularization: Constant Regret in Zero-Sum Games John Lazarsfeld, Georgios Piliouras, Ryann Sim, Stratis Skoulakis
Main Conference Track
Reasoning Planning for Language Models Ngoc Bao Nguyen, Trung Hieu Nguyen, Ruifeng She, Xiaojin Fu, Viet Anh Nguyen
Main Conference Track
Dyn-O: Building Structured World Models with Object-Centric Representations Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
Main Conference Track
Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Hongyi Henry Jin, Zijun Ding, Dung Daniel Ngo, Steven Z. Wu
Main Conference Track
Constrained Linear Thompson Sampling Aditya Gangrade, Venkatesh Saligrama
Main Conference Track
UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning Nan Song, Junzhe Jiang, jingyu li, Xiatian Zhu, Li Zhang
Main Conference Track
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections Berken Utku Demirel, Christian Holz
Main Conference Track
ComPO: Preference Alignment via Comparison Oracles Peter Chen, Xi Chen, Wotao Yin, Tianyi Lin
Main Conference Track
Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning Quanjiang Li, Tianxiang Xu, Tingjin Luo, Yan Zhong, Yang Li, Yiyun Zhou, Chenping Hou
Main Conference Track
Memory-Efficient Training with In-Place FFT Implementation XINYU DING, Bangtian Liu, Siyu Liao, Zhongfeng Wang
Main Conference Track
MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning Jinkun Hao, Naifu Liang, Zhen Luo, Xudong XU, Weipeng Zhong, Ran Yi, Yichen Jin, Zhaoyang Lyu, Feng Zheng, Lizhuang Ma, Jiangmiao Pang
Main Conference Track
Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens Zijian Dong, Ruilin Li, Joanna Chong, Niousha Dehestani, Yinghui Teng, Yi Lin, Zhizhou Li, Yichi Zhang, Yapei Xie, Leon Ooi, B.T. Yeo, Juan Helen Zhou
Main Conference Track
Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models Hanze Guo, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie
Main Conference Track
RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering Rongyang Zhang, Yuqing Huang, Chengqiang Lu, Qimeng Wang, Yan Gao, YIWU, Yao Hu, Yin Xu, Wei Wang, Hao Wang, Enhong Chen
Datasets and Benchmarks Track
TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding Shukai Gong, YIYANG FU, Fengyuan Ran, Quyu Kong, Feng Zhou
Main Conference Track
DreamPRM: Domain-reweighted Process Reward Model for Multimodal Reasoning Qi Cao, Ruiyi Wang, Ruiyi Zhang, Sai Ashish Somayajula, Pengtao Xie
Main Conference Track
Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration Nicholas Vincent, Matt Prewitt, Hanlin Li
Position Paper Track
VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion Jaekyun Park, Hye Won Chung
Main Conference Track
mmWalk: Towards Multi-modal Multi-view Walking Assistance Error
Datasets and Benchmarks Track
Empowering Decision Trees via Shape Function Branching Nakul Upadhya, Eldan Cohen
Main Conference Track
RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases Error
Datasets and Benchmarks Track
Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models Omer Moussa, Mariya Toneva
Main Conference Track
Balancing Performance and Costs in Best Arm Identification Michael Harding, Kirthevasan Kandasamy
Main Conference Track
Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables Yu Gui, Cong Ma, Zongming Ma
Main Conference Track
Why Do Multi-Agent LLM Systems Fail? Error
Datasets and Benchmarks Track
FaCT: Faithful Concept Traces for Explaining Neural Network Decisions Amin Parchami-Araghi, Sukrut Rao, Jonas Fischer, Bernt Schiele
Main Conference Track
OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection Error
Datasets and Benchmarks Track
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks Shakir Yousefi, Andreas Plesner, Till Aczel, Roger Wattenhofer
Main Conference Track
V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation Hanyue Lou, Jinxiu Liang, Minggui Teng, Yi Wang, Boxin Shi
Main Conference Track
MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation Kaleab Kinfu, Rene Vidal
Main Conference Track
EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining Boshen Xu, Yuting Mei, liu xinbi, Sipeng Zheng, Qin Jin
Main Conference Track
Statistical Inference under Performativity Xiang Li, Yunai Li, Huiying Zhong, Lihua Lei, Zhun Deng
Main Conference Track
Bridging Theory and Practice in Link Representation with Graph Neural Networks Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini, Manfred Jaeger
Main Conference Track
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Xiangdong Zhang, Jiaqi Liao, Shaofeng Zhang, Fanqing Meng, Xiangpeng Wan, Junchi Yan, Yu Cheng
Main Conference Track
Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency Peng Chen, Hailiang Zhao, Jiaji Zhang, Xueyan Tang, Yixuan Wang, Shuiguang Deng
Main Conference Track
Reinforcement Learning for Reasoning in Large Language Models with One Training Example Yiping Wang, Qing Yang, Zhiyuan Zeng, Liliang Ren, Liyuan Liu, Baolin Peng, Hao Cheng, Xuehai He, Kuan Wang, Jianfeng Gao, Weizhu Chen, Shuohang Wang, Simon S Du, yelong shen
Main Conference Track
Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets Runhan Shi, Letian Chen, Gufeng Yu, Yang Yang
Main Conference Track
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive Tyler Farghly, Peter Potaptchik, Samuel Howard, George Deligiannidis, Jakiw Pidstrigach
Main Conference Track
Decomposing motor units through elimination for real-time intention driven assistive neurotechnology Nicholas Tacca, Bryan Schlink, Jackson Levine, Mary K. Heimann, Collin Dunlap, Sam Colachis, Philip Putnam, Matthew Zeglen, Daniel Brobston, Austin Bollinger, José Pons, Lauren Wengerd, Eric Meyers, David Friedenberg
Main Conference Track
Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma, Jerry Yang
Main Conference Track
Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks Error
Datasets and Benchmarks Track
MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM Bowen Dong, Minheng Ni, Zitong Huang, Guanglei Yang, Wangmeng Zuo, Lei Zhang
Main Conference Track
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning Ali Taghibakhshi, Sharath Turuvekere Sreenivas, Saurav Muralidharan, Marcin Chochowski, Yashaswi Karnati, Raviraj Joshi, Ameya Mahabaleshwarkar, ZIJIA CHEN, Yoshi Suhara, Oluwatobi Olabiyi, Daniel Korzekwa, Mostofa Patwary, Mohammad Shoeybi, Jan Kautz, Bryan Catanzaro, Ashwath Aithal, Nima Tajbakhsh, Pavlo Molchanov
Main Conference Track
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining Xincheng Yao, Yan Luo, Zefeng Qian, Chongyang Zhang
Main Conference Track
Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks Eva Xie, Stefan Mihalas, Łukasz Kuśmierz
Main Conference Track
Crucible: Quantifying the Potential of Control Algorithms through LLM Agents Lianchen Jia, Chaoyang Li, Qian Houde, Tianchi Huang, Jiangchuan Liu, Lifeng Sun
Main Conference Track
Less Greedy Equivalence Search Adiba Ejaz, Elias Bareinboim
Main Conference Track
BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM Wen Xiong, Junzhong Ji, Jinduo Liu
Main Conference Track
Impartial Selection with Predictions Javier Cembrano, Felix Fischer, Max Klimm
Main Conference Track
HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar, Jake Kovalic, Dave Johnson, Christopher Tape, Ian Adelstein, Rex Ying, Michael Perlmutter, Smita Krishnaswamy
Main Conference Track
OrdShap: Feature Position Importance for Sequential Black-Box Models Davin Hill, Brian Hill, Aria Masoomi, Vijay Nori, Robert E. Tillman, Jennifer Dy
Main Conference Track
RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis Haolin Li, Tianjie Dai, Zhe Chen, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Main Conference Track
FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic Kanghyun Choi, Hyeyoon Lee, Sunjong Park, Dain Kwon, Jinho Lee
Main Conference Track
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification Zeqi Ye, Minshuo Chen
Main Conference Track
On Agnostic PAC Learning in the Small Error Regime Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas
Main Conference Track
Thought Communication in Multiagent Collaboration Yujia Zheng, Zhuokai Zhao, Zijian Li, Yaqi Xie, Mingze Gao, Lizhu Zhang, Kun Zhang
Main Conference Track
Gemstones: A Model Suite for Multi-Faceted Scaling Laws Sean McLeish, John Kirchenbauer, David J. Miller, Siddharth Singh, Abhinav Bhatele, Micah Goldblum, Ashwinee Panda, Tom Goldstein
Main Conference Track
Lua-LLM: Learning Unstructured-Sparsity Allocation for Large Language Models Mingge Lu, Jingwei Sun, Junqing Lin, Zechun Zhou, Guangzhong Sun
Main Conference Track
What are you sinking? A geometric approach on attention sink Valeria Ruscio, Umberto Nanni, Fabrizio Silvestri
Main Conference Track
Convergence Rates of Constrained Expected Improvement Haowei Wang, Jingyi Wang, Zhongxiang Dai, Nai-Yuan Chiang, Szu Hui Ng, Cosmin Petra
Main Conference Track
FastVID: Dynamic Density Pruning for Fast Video Large Language Models Leqi Shen, Guoqiang Gong, Tao He, Yifeng Zhang, Pengzhang Liu, Sicheng Zhao, guiguang ding
Main Conference Track
DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling Yuang Ai, Qihang Fan, Xuefeng Hu, Zhenheng Yang, Ran He, Huaibo Huang
Main Conference Track
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang
Main Conference Track
NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables Lanrui Wang, Mingyu Zheng, Hongyin Tang, Zheng Lin, Yanan Cao, Jingang Wang, Xunliang Cai, Weiping Wang
Main Conference Track
Emergent Temporal Correspondences from Video Diffusion Transformers Jisu Nam, Soowon Son, Dahyun Chung, Jiyoung Kim, Siyoon Jin, Junhwa Hur, Seungryong Kim
Main Conference Track
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue XING, Shenglai Zeng, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu Aggarwal, Hui Liu
Main Conference Track
Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble Hanyang Wang, Juergen Branke, Matthias Poloczek
Main Conference Track
Analogy-based Multi-Turn Jailbreak against Large Language Models Mengjie Wu, Yihao Huang, Zhenjun Lin, Kangjie Chen, Yuyang zhang, Yuhan Huang, Run Wang, Lina Wang
Main Conference Track
OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles Yihe Deng, Hritik Bansal, Fan Yin, Nanyun Peng, Wei Wang, Kai-Wei Chang
Main Conference Track
Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs Jie Ma, NING QU, Zhitao Gao, Xing Rui, Jun Liu, Hongbin Pei, Jiang Xie, Lingyun Song, Pinghui Wang, Jing Tao, su zhou
Main Conference Track
ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets Bohdan Turbal, Iryna Voitsitska, Lesia Semenova
Main Conference Track
The Burden of Interactive Alignment with Inconsistent Preferences Ali Shirali
Main Conference Track
UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception Error
Datasets and Benchmarks Track
SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning Yang Liu, Ming Ma, Xiaomin Yu, Pengxiang Ding, Han Zhao, Mingyang Sun, Siteng Huang, Donglin Wang
Main Conference Track
From Euler to AI: Unifying Formulas for Mathematical Constants Tomer Raz, Michael Shalyt, Elyasheev Leibtag, Rotem Kalisch, Shachar Weinbaum, Yaron Hadad, Ido Kaminer
Main Conference Track
Activation-Guided Consensus Merging for Large Language Models Yuxuan Yao, Shuqi LIU, Zehua Liu, Qintong Li, Mingyang LIU, Xiongwei Han, Zhijiang Guo, Han Wu, Linqi Song
Main Conference Track
Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models Jiajun Fan, Tong Wei, Chaoran Cheng, Yuxin Chen, Ge Liu
Main Conference Track
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
Main Conference Track
VITRIX-UniViTAR: Unified Vision Transformer with Native Resolution Limeng Qiao, Yiyang Gan, Bairui Wang, Jie Qin, Shuang Xu, Siqi Yang, Lin Ma
Main Conference Track
Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning Alexander Bodard, Panagiotis Patrinos
Main Conference Track
Gradient-Guided Epsilon Constraint Method for Online Continual Learning Song Lai, Changyi Ma, Fei Zhu, Zhe Zhao, Xi Lin, GAOFENG MENG, Qingfu Zhang
Main Conference Track
NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation Longtian Qiu, Shan Ning, Jiaxuan Sun, Xuming He
Main Conference Track
ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching HUANLEI GUO, Song LIU, Bingyi Jing
Main Conference Track
Diffusion Classifiers Understand Compositionality, but Conditions Apply Error
Datasets and Benchmarks Track
Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential Tianxiao He, Malhar Patel, Chenyi Li, Anna Maslarova, Mihály Vöröslakos, Nalini Ramanathan, Wei-Lun Hung, Gyorgy Buzsaki, Erdem Varol
Main Conference Track
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts Haizhong Zheng, Yang Zhou, Brian Bartoldson, Bhavya Kailkhura, Fan Lai, Jiawei Zhao, Beidi Chen
Main Conference Track
Transition Matching: Scalable and Flexible Generative Modeling Neta Shaul, Uriel Singer, Itai Gat, Yaron Lipman
Main Conference Track
Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding Weiyu Guo, Ziyang Chen, Shaoguang WANG, Jianxiang He, Yijie Xu, Jinhui Ye, Ying Sun, Hui Xiong
Main Conference Track
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables Zheng Li, Xichen Guo, Feng Xie, Yan Zeng, Hao Helen Zhang, Zhi Geng
Main Conference Track
DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing Chenxi Xie, Minghan Li, Shuai Li, Yuhui Wu, Qiaosi Yi, Lei Zhang
Main Conference Track
SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning Wanjia Zhao, Mert Yuksekgonul, Shirley Wu, James Y Zou
Main Conference Track
Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment Error
Datasets and Benchmarks Track
CellCLIP - Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning MingYu Lu, Ethan Weinberger, Chanwoo Kim, Su-In Lee
Main Conference Track
$\varepsilon$-Optimally Solving Two-Player Zero-Sum POSGs Erwan escudie, Matthia Sabatelli, Olivier Buffet, Jilles Dibangoye
Main Conference Track
The Omni-Expert: A Computationally Efficient Approach to Achieve a Mixture of Experts in a Single Expert Model Sohini Saha, Mezisashe Ojuba, Leslie Collins, Boyla Mainsah
Main Conference Track
Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation Jianyang Qin, Chaoyang Li, Jinhao Cui, Lingzhi Wang, Zhao Liu, Qing Liao
Main Conference Track
The Future Unmarked: Watermark Removal in AI-Generated Images via Next-Frame Prediction Huming Qiu, Zhaoxiang Wang, Mi Zhang, Xiaohan Zhang, Xiaoyu You, Min Yang
Main Conference Track
Streaming Stochastic Submodular Maximization with On-Demand User Requests Honglian Wang, Sijing Tu, Lutz Oettershagen, Aristides Gionis
Main Conference Track
Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm Error
Datasets and Benchmarks Track
Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design Lianghong Chen, Dongkyu Kim, Mike Domaratzki, Pingzhao Hu
Main Conference Track
Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing Daniele Baieri, Filippo Maggioli, Emanuele Rodolà, Simone Melzi, Zorah Laehner
Main Conference Track
Generative Perception of Shape and Material from Differential Motion Xinran Han, Ko Nishino, Todd Zickler
Main Conference Track
Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem Yichen Li, Yijing Shan, YI LIU, Haozhao Wang, Cheng Wang, wangshi.ww, Yi Wang, Ruixuan Li
Main Conference Track
Robust Minimax Boosting with Performance Guarantees Santiago Mazuelas, Veronica Alvarez
Main Conference Track
Stochastic Shortest Path with Sparse Adversarial Costs Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke, Patrick Rebeschini
Main Conference Track
Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms Alistair Benford, Per Kristian Lehre
Main Conference Track
Decoding Causal Structure: End-to-End Mediation Pathways Inference Yulong Li, Xiwei Liu, feilong tang, Ming Hu, Jionglong Su, Zongyuan Ge, Imran Razzak, Eran Segal
Main Conference Track
Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations Kaibo Wang, Jianda Mao, Tong Wu, Yang Xiang
Main Conference Track
Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao
Main Conference Track
The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
Datasets and Benchmarks Track
Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning Xingjian Ran, Yixuan Li, Linning Xu, Mulin Yu, Bo Dai
Main Conference Track
Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning Junhao Shen, Haiteng Zhao, Yuzhe Gu, Songyang Gao, Kuikun Liu, Haian Huang, Jianfei Gao, Dahua Lin, Wenwei Zhang, Kai Chen
Main Conference Track
Scalable Fingerprinting of Large Language Models Anshul Nasery, Jonathan Hayase, Creston Brooks, Peiyao Sheng, Himanshu Tyagi, Pramod Viswanath, Sewoong Oh
Main Conference Track
Power Lines: Scaling laws for weight decay and batch size in LLM pre-training Shane Bergsma, Nolan Dey, Gurpreet Gosal, Gavia Gray, Daria Soboleva, Joel Hestness
Main Conference Track
nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning Error
Datasets and Benchmarks Track
KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference Rui Peng, Yuchen Lu, Qichen Sun, Yuxing Lu, Chi Zhang, Ziru Liu, Jinzhuo Wang
Main Conference Track
Building 3D Representations and Generating Motions From a Single Image via Video-Generation Weiming Zhi, Ziyong Ma, Tianyi Zhang, Matthew Johnson-Roberson
Main Conference Track
Universal Causal Inference in a Topos Sridhar Mahadevan
Main Conference Track
MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE Zongle Huang, Lei Zhu, ZongYuan Zhan, Ting Hu, Weikai Mao, Xianzhi Yu, Yongpan Liu, Tianyu Zhang
Main Conference Track
RLVR-World: Training World Models with Reinforcement Learning Jialong Wu, Shaofeng Yin, Ningya Feng, Mingsheng Long
Main Conference Track
When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization Vivek Ramanujan, Kushal Tirumala, Armen Aghajanyan, Luke Zettlemoyer, Ali Farhadi
Main Conference Track
Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin" Error
Position Paper Track
EUGens: Efficient, Unified and General Dense Layers Sang Min Kim, Byeongchan Kim, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Rahul Kidambi, Dongseok Shim, Kumar Avinava Dubey, Snigdha Chaturvedi, Min-hwan Oh, Krzysztof M Choromanski
Main Conference Track
Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye
Main Conference Track
Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems Elfarouk Harb, Yousef Yassin, Chandra Chekuri
Main Conference Track
Informed Correctors for Discrete Diffusion Models Yixiu Zhao, Jiaxin Shi, Feng Chen, Shaul Druckmann, Lester Mackey, Scott Linderman
Main Conference Track
HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene Jianing Chen, Zehao Li, Yujun Cai, Hao Jiang, Chengxuan Qian, Juyuan Kang, Shuqin Gao, Honglong Zhao, Tianlu Mao, Yucheng Zhang
Main Conference Track
Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology Saghir Alfasly, Wataru Uegami, MD ENAMUL HOQ, Ghazal Alabtah, Hamid Tizhoosh
Main Conference Track
Position: Towards Bidirectional Human-AI Alignment Error
Position Paper Track
Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration Seungyeon Choi, Hwanhee Kim, Chihyun Park, Dahyeon Lee, Seungyong Lee, Yoonju Kim, Hyoungjoon Park, Sein Kwon, Youngwan Jo, Sanghyun Park
Main Conference Track
GRIFFIN: Effective Token Alignment for Faster Speculative Decoding Shijing Hu, Jingyang Li, Xingyu Xie, Zhihui Lu, Kim-chuan Toh, Pan Zhou
Main Conference Track
SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization Junpyo Seo, HanbinKoo, jieun yook, Byung-Ro Moon
Main Conference Track
Regularized least squares learning with heavy-tailed noise is minimax optimal Mattes Mollenhauer, Nicole Muecke, Dimitri Meunier, Arthur Gretton
Main Conference Track
Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing Huanjia Zhu, Shuyuan Zheng, Yishu Liu, Sudong Cai, Bingzhi Chen
Main Conference Track
Distil-E2D: Distilling Image-to-Depth Priors for Event-Based Monocular Depth Estimation Jie Long Lee, Gim Hee Lee
Main Conference Track
Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach Yuting Huang, Ziquan Fang, Zhihao Zeng, Lu Chen, Yunjun Gao
Main Conference Track
Learning Urban Climate Dynamics via Physics-Guided Urban Surface–Atmosphere Interactions Jiyang Xia, Fenghua Ling, Zhenhui Jessie Li, Junjie Yu, Hongliang Zhang, David Topping, LEI BAI, Zhonghua Zheng
Main Conference Track
LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions Hadi Askari, Shivanshu Gupta, Fei Wang, Anshuman Chhabra, Muhao Chen
Main Conference Track
OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions Cheng Luo, Jianghui Wang, Bing Li, Siyang Song, Bernard Ghanem
Main Conference Track
EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving Shihan Dou, Ming Zhang, Chenhao Huang, Jiayi Chen, Feng Chen, Shichun Liu, Yan Liu, Chenxiao Liu, CHENG ZHONG, Zongzhang Zhang, Tao Gui, Chao Xin, Wei Chengzhi, Lin Yan, Qi Zhang, Xuanjing Huang
Main Conference Track
Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries Mohsen Heidari, Masih Mozakka, Wojciech Szpankowski
Main Conference Track
The Computational Complexity of Counting Linear Regions in ReLU Neural Networks Moritz Stargalla, Christoph Hertrich, Daniel Reichman
Main Conference Track
Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification Qingyi Pan, Yicheng Li
Main Conference Track
Generative RLHF-V: Learning Principles from Multi-modal Human Preference Jiayi Zhou, Jiaming Ji, Boyuan Chen, Jiapeng Sun, wenqi chen, Donghai Hong, Sirui Han, Yike Guo, Yaodong Yang
Main Conference Track
Variational Task Vector Composition Boyuan Zhang, Yingjun Du, Xiantong Zhen, Ling Shao
Main Conference Track
UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning Ye Liu, Zongyang Ma, Junfu Pu, Zhongang Qi, Yang Wu, Ying Shan, Chang Chen
Main Conference Track
Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning Xiangning Yu, Zhuohan Wang, Linyi Yang, Haoxuan Li, Anjie Liu, Xiao Xue, Jun Wang, Mengyue Yang
Main Conference Track
On Group Sufficiency Under Label Bias Haoran Zhang, Olawale Salaudeen, Marzyeh Ghassemi
Main Conference Track
C-NAV: Towards Self-Evolving Continual Object Navigation in Open World MingMing Yu, Fei Zhu, Wenzhuo Liu, Yirong Yang, Qunbo Wang, wenjun wu, Jing Liu
Main Conference Track
Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs Jingyao Wang, Wenwen Qiang, Zeen Song, Changwen Zheng, Hui Xiong
Main Conference Track
KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows Zaifeng Pan, AJJKUMAR DAHYALAL PATEL, Yipeng Shen, Zhengding Hu, Yue Guan, Wan-Lu Li, Lianhui Qin, Yida Wang, Yufei Ding
Main Conference Track
Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning Junkai Zhang, Jinmin He, Yifan Zhang, Yifan Zang, Ning Xu, Jian Cheng
Main Conference Track
Wavy Transformer Satoshi Noguchi, Yoshinobu Kawahara
Main Conference Track
SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications Gabriele Oliaro, Zhihao Jia, Daniel Campos, Aurick Qiao
Main Conference Track
FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Error
Datasets and Benchmarks Track
Robust Hallucination Detection in LLMs via Adaptive Token Selection Mengjia Niu, Hamed Haddadi, Guansong Pang
Main Conference Track
Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems Alan Anis Lahoud, Erik Schaffernicht, Johannes Andreas Stork
Main Conference Track
FAPEX: Fractional Amplitude-Phase Expressor for Robust Cross-Subject Seizure Prediction Ruizhe Zheng, Lingyan Mao, DINGDING HAN, Tian Luo, Yi Wang, Jing Ding, Yuguo Yu
Main Conference Track
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Javier E. Santos, Agnese Marcato, Roman Colman, NIcholas Lubbers, Yen Ting Lin
Main Conference Track
Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables Zhongnan Cai, Yingying Wang, Hui Zheng, Panwang Pan, Zixu Lin, Ge Meng, Chenxin Li, Chunming He, Jiaxin Xie, Yunlong Lin, Junbin Lu, Yue Huang, Xinghao Ding
Main Conference Track
PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Tianchen Zhao, Ke Hong, Xinhao Yang, Xuefeng Xiao, Huixia Li, Feng Ling, Ruiqi Xie, SiQi Chen, Hongyu Zhu, Zhang Yichong, Yu Wang
Main Conference Track
Inferring stochastic dynamics with growth from cross-sectional data Stephen Zhang, Suryanarayana Maddu, Xiaojie Qiu, Victor Chardès
Main Conference Track
The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning Xinyu Zhu, Mengzhou Xia, Zhepei Wei, Wei-Lin Chen, Danqi Chen, Yu Meng
Main Conference Track
SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models Xianda Guo, Ruijun Zhang, Yiqun Duan, Yuhang He, Dujun Nie, Wenke Huang, Chenming Zhang, Shuai Liu, Hao Zhao, Long Chen
Datasets and Benchmarks Track
Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model Tianle Li, Jihai Zhang, Yongming Rao, Yu Cheng
Main Conference Track
Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations Tal Barami, Nimrod Berman, Ilan Naiman, Amos H Hason, Rotem Ezra, Omri Azencot
Datasets and Benchmarks Track
S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection Jiaqi Wang, Zhengyu Ma, Xiongri Shen, Chenlin Zhou, Leilei Zhao, Han Zhang, Yi Zhong, Siqi Cai, Zhenxi Song, Zhiguo Zhang
Main Conference Track
ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning Ziyu Wan, Yunxiang Li, Xiaoyu Wen, Yan Song, Hanjing Wang, Linyi Yang, Mark Schmidt, Jun Wang, Weinan Zhang, Shuyue Hu, Ying Wen
Main Conference Track
UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning Haoming Ye, Yunxiao Xiao, Cewu Lu, Panpan Cai
Main Conference Track
SkyLadder: Better and Faster Pretraining via Context Window Scheduling Tongyao Zhu, Qian Liu, Haonan Wang, Shiqi Chen, Xiangming Gu, Tianyu Pang, Min-Yen Kan
Main Conference Track
CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination Yuena Lin, Hao Wei, Hai-Chun Cai, Bohang Sun, Tao Yang, Zhen Yang, Gengyu Lyu
Main Conference Track
ASGO: Adaptive Structured Gradient Optimization Kang An, Yuxing Liu, Rui Pan, Yi Ren, Shiqian Ma, Donald Goldfarb, Tong Zhang
Main Conference Track
Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization Yu Huang, Zixin Wen, Aarti Singh, Yuejie Chi, Yuxin Chen
Main Conference Track
Benign Overfitting in Single-Head Attention Roey Magen, Shuning Shang, Zhiwei Xu, Spencer Frei, Wei Hu, Gal Vardi
Main Conference Track
WolBanking77: Wolof Banking Speech Intent Classification Dataset Error
Datasets and Benchmarks Track
Guided Diffusion Sampling on Function Spaces with Applications to PDEs Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Animashree Anandkumar
Main Conference Track
ECO: Evolving Core Knowledge for Efficient Transfer Fu Feng, Yucheng Xie, Ruixiao Shi, Jianlu Shen, Jingq Wang, Xin Geng
Main Conference Track
PHANTOM: A Benchmark for Hallucination Detection in Financial Long-Context QA Error
Datasets and Benchmarks Track
Learning-Augmented Algorithms for $k$-median via Online Learning Anish Hebbar, Rong Ge, Amit Kumar, Debmalya Panigrahi
Main Conference Track
Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization Yang Li, Lvda Chen, Haonan Wang, Runzhong Wang, Junchi Yan
Main Conference Track
Discrete Neural Flow Samplers with Locally Equivariant Transformer Zijing Ou, Ruixiang Zhang, Yingzhen Li
Main Conference Track
Statistical Analysis of an Adversarial Bayesian Weak Supervision Method Steven An
Main Conference Track
Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees Fu Luo, Yaoxin Wu, Zhi Zheng, Zhenkun Wang
Main Conference Track
Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians Xingyu Liu, Pengfei Ren, Qi Qi, Haifeng Sun, Zirui Zhuang, Jing Wang, Jianxin Liao, Jingyu Wang
Main Conference Track
ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano, Patrick Gallinari
Main Conference Track
Reframing Gaussian Splatting Densification with Complexity-Density Consistency of Primitives Zhemeng Dong, Junjun Jiang, Youyu Chen, Jiaxin Zhang, Kui Jiang, Xianming Liu
Main Conference Track
Better NTK Conditioning: A Free Lunch from (ReLU) Nonlinear Activation in Wide Neural Networks Chaoyue Liu, Han Bi, Like Hui, Xiao Liu
Main Conference Track
BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models Error
Datasets and Benchmarks Track
Enhancing LLM Planning for Robotics Manipulation through Hierarchical Procedural Knowledge Graphs Jiacong Zhou, Jiaxu Miao, xianyun wang, Jun Yu
Main Conference Track
BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization Xueyang Zhou, Guiyao Tie, Guowen Zhang, Hecheng Wang, Pan Zhou, Lichao Sun
Main Conference Track
Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training Minhak Song, Beomhan Baek, Kwangjun Ahn, Chulhee Yun
Main Conference Track
Detecting High-Stakes Interactions with Activation Probes Alex McKenzie, Urja Pawar, Phil Blandfort, William Bankes, David Krueger, Ekdeep S Lubana, Dmitrii Krasheninnikov
Main Conference Track
LLM-PySC2: Starcraft II learning environment for Large Language Models Zongyuan Li, Yanan Ni, Runnan Qi, Chang Lu, Lumin Jiang, Xu Xiaojie, Xiangbei Liu, Pengfei Li, Yunzheng Guo, Zhe Ma, Huanyu Li, wu hui, Xian Guo, Kuihua Huang, Xuebo Zhang
Main Conference Track
SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning Xinbin Yuan, Jian Jun Zhang, Kaixin Li, Zhuoxuan Cai, Lujian Yao, Jie Chen, Enguang Wang, Qibin Hou, Jinwei Chen, Peng-Tao Jiang, Bo Li
Main Conference Track
Composing Linear Layers from Irreducibles Travis Pence, Daisuke Yamada, Vikas Singh
Main Conference Track
ArchCAD-400K: A Large-Scale CAD drawings Dataset and New Baseline for Panoptic Symbol Spotting Ruifeng Luo, Zhengjie Liu, Tianxiao Cheng, Jie Wang, Tongjie Wang, Fei Cheng, Fu Chai, Yanpeng Li, Xingguang Wei, Haomin Wang, Shenglong Ye, Wenhai Wang, Zhang, Yu Qiao, Hongjie Zhang, Xianzhong Zhao
Main Conference Track
Correlated Low-Rank Adaptation for ConvNets Wu Ran, Weijia Zhang, ShuYang Pang, Zhu, Jinfan Liu, JingSheng Liu, Xin Cao, Qiang Li, Yichao Yan, Chao Ma
Main Conference Track
egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-world Tasks Error
Datasets and Benchmarks Track
Reconciling Geospatial Prediction and Retrieval via Sparse Representations YI LI, CHEN YUANLONG, Weiming Huang, Xiaoli Li, Gao Cong
Main Conference Track
Depth-Bounds for Neural Networks via the Braid Arrangement Moritz Grillo, Christoph Hertrich, Georg Loho
Main Conference Track
Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap Shixiang Liu
Main Conference Track
Universal Visuo-Tactile Video Understanding for Embodied Interaction Yifan Xie, Mingyang Li, Shoujie Li, Xingting Li, Guangyu Chen, Fei Ma, Fei Richard Yu, Wenbo Ding
Main Conference Track
PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors Sepehr Dehdashtian, Mashrur Mahmud Morshed, Jacob Seidman, Gaurav Bharaj, Vishnu Boddeti
Main Conference Track
Zero-Shot Blind-Spot Image Denoising via Cross-Scale Non-Local Pixel Refilling Qilong Guo, Tianjing Zhang, Zhiyuan Ma, Hui Ji
Main Conference Track
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics Licong Lin, Song Mei
Main Conference Track
Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs Zhenbang Zhang, Jingtong Feng, Hongjia Li, Haythem El-Messiry, Zhiqiang Xu, Renmin Han
Main Conference Track
Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point Hongjie Chen, Jingqiu Ding, Yiding Hua, Stefan Tiegel
Main Conference Track
PRSformer: Disease Prediction from Million-Scale Individual Genotypes Payam Dibaeinia, Chris German, Suyash Shringarpure, Adam Auton, Aly A. Khan
Main Conference Track
Adjusted Count Quantification Learning on Graphs Clemens Damke, Eyke Hüllermeier
Main Conference Track
Streaming Federated Learning with Markovian Data Khiem HUYNH, Malcolm Egan, Giovanni Neglia, Jean-Marie Gorce
Main Conference Track
Ultrametric Cluster Hierarchies: I Want ‘em All! Andrew Draganov, Pascal Weber, Rasmus Jørgensen, Anna Beer, Claudia Plant, Ira Assent
Main Conference Track
Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models Error
Datasets and Benchmarks Track
FlowRefiner: A Robust Traffic Classification Framework against Label Noise Mingwei Zhan, Ruijie Zhao, Xianwen Deng, Zhi Xue, Qi Li, Zhuotao Liu, Guang Cheng, Ke Xu
Main Conference Track
PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement Haitian Zheng, Yuan Yao, yongsheng yu, Yuqian Zhou, Jiebo Luo, Zhe Lin
Main Conference Track
MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation Error
Datasets and Benchmarks Track
From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit Sunny Duan, Ling L. Dong, Ila Fiete
Main Conference Track
On the creation of narrow AI: hierarchy and nonlocality of neural network skills Eric Michaud, Asher Parker-Sartori, Max Tegmark
Main Conference Track
Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Minjae Kim, Wooseok Jang, Jaewon Min, Sangwu Lee, Sayak Paul, Seungryong Kim
Main Conference Track
LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model Xiangkun Wang, Kejiang Chen, Lincong Li, Weiming Zhang, Nenghai Yu
Main Conference Track
On the sample complexity of semi-supervised multi-objective learning Tobias Wegel, Geelon So, Junhyung Park, Fanny Yang
Main Conference Track
PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Niessner
Main Conference Track
BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model Weilin Lin, Nanjun Zhou, Yanyun Wang, Jianze Li, Hui Xiong, Li Liu
Datasets and Benchmarks Track
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance Error
Datasets and Benchmarks Track
A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking Zixiang Zhao, Haowen Bai, Bingxin Ke, Yukun Cui, Lilun Deng, Yulun Zhang, Kai Zhang, Konrad Schindler
Main Conference Track
Gradient Variance Reveals Failure Modes in Flow-Based Generative Models Teodora Reu, Sixtine Dromigny, Michael Bronstein, Francisco Vargas
Main Conference Track
ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Xiaomeng Yang, LEI LU, Qihui Fan, Changdi Yang, Juyi Lin, Yanzhi Wang, Xuan Zhang, Shangqian Gao
Main Conference Track
Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames Ev Zisselman, Mirco Mutti, Shelly Francis-Meretzki, Elisei Shafer, Aviv Tamar
Main Conference Track
Attention! Your Vision Language Model Could Be Maliciously Manipulated Xiaosen Wang, Shaokang Wang, Zhijin Ge, Yuyang Luo, Shudong Zhang
Main Conference Track
RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation Tianyi Yan, Wencheng Han, xia zhou, Xueyang Zhang, Kun Zhan, Cheng-Zhong Xu, Jianbing Shen
Main Conference Track
Towards General Continuous Memory for Vision-Language Models Wenyi WU, Zixuan Song, Kun Zhou, Yifei Shao, Zhiting Hu, Biwei Huang
Main Conference Track
Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning Haochen Zhang, Zhong Zheng, Lingzhou Xue
Main Conference Track
Learning to Generate Human-Human-Object Interactions from Textual Descriptions Jeonghyeon Na, Sangwon Baik, Inhee Lee, Junyoung Lee, Hanbyul Joo
Main Conference Track
Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates Seunghyeok Shin, Dabin Kim, Hongki Lim
Main Conference Track
Asymptotically exact variational flows via involutive MCMC kernels Zuheng (David) Xu, Trevor Campbell
Main Conference Track
Quantifying Cross-Modality Memorization in Vision-Language Models Yuxin Wen, Yangsibo Huang, Tom Goldstein, Ravi Kumar, Badih Ghazi, Chiyuan Zhang
Main Conference Track
CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching Leying Zhang, Yao Qian, Xiaofei Wang, Manthan Thakker, Dongmei Wang, Jianwei Yu, Haibin Wu, Yuxuan Hu, Jinyu Li, Yanmin Qian, sheng zhao
Main Conference Track
Infinite Neural Operators: Gaussian processes on functions Daniel Augusto de Souza, Yuchen Zhu, Jake Cunningham, Yuri F. Saporito, Diego Mesquita, Marc Deisenroth
Main Conference Track
Topology-aware Graph Diffusion Model with Persistent Homology Joonhyuk Park, Donghyun Lee, Yujee Song, Guorong Wu, Won Hwa Kim
Main Conference Track
Policy Compatible Skill Incremental Learning via Lazy Learning Interface Daehee Lee, Dongsu Lee, TaeYoon Kwack, Wonje Choi, Honguk Woo
Main Conference Track
Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition Yu Li, Jin Jiang, Jianhua Zhu, Shuai Peng, Baole, Yuxuan Zhou, Liangcai Gao
Main Conference Track
From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs Xin Li, Xiaotao Zheng, Zhihong Xia
Main Conference Track
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang
Main Conference Track
A unified framework for establishing the universal approximation of transformer-type architectures Jingpu Cheng, Ting Lin, Zuowei Shen, Qianxiao Li
Main Conference Track
Visual Instruction Bottleneck Tuning Changdae Oh, Jiatong Li, Shawn Im, Sharon Li
Main Conference Track
Listening to the Brain: Multi-Band sEEG Auditory Reconstruction via Dynamic Spatio-Temporal Hypergraphs Error
Datasets and Benchmarks Track
A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification Error
Datasets and Benchmarks Track
MemEIC: A Step Toward Continual and Compositional Knowledge Editing Jin Seong, Jiyun Park, Wencke Liermann, Hongseok Choi, Yoonji Nam, Hyun Jun Kim, Soojong Lim, Namhoon Lee
Main Conference Track
Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task Sunqi Fan, Jiashuo Cui, Meng-Hao Guo, Shuojin Yang
Main Conference Track
UniTok: a Unified Tokenizer for Visual Generation and Understanding Chuofan Ma, Yi Jiang, Junfeng Wu, Jihan Yang, Xin Yu, Zehuan Yuan, BINGYUE PENG, Xiaojuan Qi
Main Conference Track
Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM Zinuo Li, Xian Zhang, Yongxin Guo, Mohammed Bennamoun, Farid Boussaid, Girish Dwivedi, Luqi Gong, Qiuhong Ke
Main Conference Track
From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization Shoaib Ahmed Siddiqui, Adrian Weller, David Krueger, Gintare Karolina Dziugaite, Michael C. Mozer, Eleni Triantafillou
Main Conference Track
Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies Zohar Rimon, Elisei Shafer, Tal Tepper, Efrat Shimron, Aviv Tamar
Main Conference Track
UMA: A Family of Universal Models for Atoms Brandon M. Wood, Misko Dzamba, Xiang Fu, Meng Gao, Muhammed Shuaibi, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John Kitchin, Daniel S Levine, Kyle Michel, Anuroop Sriram, Taco S Cohen, Abhishek Das, Sushree Sahoo, Ammar Rizvi, Zachary Ulissi, Larry Zitnick
Main Conference Track
Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution Sihan Wang, Wenjie Du, Qing Zhu, Yang Wang
Main Conference Track
Enhancing Tactile-based Reinforcement Learning for Robotic Control Elle Miller, Trevor McInroe, David Abel, Oisin Mac Aodha, Sethu Vijayakumar
Main Conference Track
Preference Learning with Lie Detectors can Induce Honesty or Evasion Chris Cundy, Adam Gleave
Main Conference Track
Scaling Laws for Optimal Data Mixtures Mustafa Shukor, Louis Bethune, Dan Busbridge, David Grangier, Enrico Fini, Alaaeldin El-Nouby, Pierre Ablin
Main Conference Track
Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion Qing-Yuan Jiang, Longfei Huang, Yang Yang
Main Conference Track
Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization Chenrui Wang, Junyi Shu, Billy Chiu, YU LI, Saleh Alharbi, Min zhang, Jing Li
Main Conference Track
Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator Peiwen Yuan, Yiwei Li, Shaoxiong Feng, Xinglin Wang, Yueqi Zhang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Prof. Kan
Main Conference Track
AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling Zhining Zhang, Chuanyang Jin, Mung Yao Jia, Shunchi Zhang, Tianmin Shu
Main Conference Track
Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing Manchao Bao, Shengjiang Fang, Tao Yue, Xuemei Hu
Main Conference Track
Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing Kangkang Deng, Jiachen Jin, Jiang Hu, Hongxia Wang
Main Conference Track
Simple and Optimal Sublinear Algorithms for Mean Estimation Beatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn, Sudarshan Shyam
Main Conference Track
Novel Exploration via Orthogonality Andreas Theophilou, Ozgur Simsek
Main Conference Track
Feedback-Aware MCTS for Goal-Oriented Information Seeking Harshita Chopra, Chirag Shah
Main Conference Track
VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold Dominic Maggio, Hyungtae Lim, Luca Carlone
Main Conference Track
Differentiable Constraint-Based Causal Discovery Jincheng Zhou, Mengbo Wang, Anqi He, Yumeng Zhou, Hessam Olya, Murat Kocaoglu, Bruno Ribeiro
Main Conference Track
Pro3D-Editor: A Progressive-Views Perspective for Consistent and Precise 3D Editing Yang Zheng, Mengqi Huang, Nan Chen, Zhendong Mao
Main Conference Track
FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training Xinxin You, Qixin Sun, Chenwei Yan, Xiao Zhang, Chen Ning, Xiangling Fu, Si Liu, Guoping Hu, Shijin Wang, Ji Wu, Xien Liu
Main Conference Track
Cyclic Counterfactuals under Shift–Scale Interventions Saptarshi Saha, Dhruv Rathore, Utpal Garain
Main Conference Track
ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models Hongbo Liu, Jingwen He, Yi Jin, Dian Zheng, Yuhao Dong, Fan Zhang, Ziqi Huang, Yinan He, Weichao Chen, Yu Qiao, Wanli Ouyang, Shengjie Zhao, Ziwei Liu
Main Conference Track
OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis Junting Chen, Haotian Liang, Lingxiao Du, Weiyun Wang, Mengkang Hu, Yao Mu, Wenhai Wang, Jifeng Dai, Ping Luo, Wenqi Shao, Lin Shao
Main Conference Track
FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models Xuan Liu, Siru Ouyang, Xianrui Zhong, Jiawei Han, Huimin Zhao
Datasets and Benchmarks Track
Remarkable Robustness of LLMs: Stages of Inference? Vedang Lad, Jin Hwa Lee, Wes Gurnee, Max Tegmark
Main Conference Track
Multimodal 3D Genome Pre-training Minghao Yang, Pengteng Li, Yan Liang, Qianyi Cai, Zhihang Zheng, Shichen Zhang, Pengfei ZHANG, Zhi-An Huang, Hui Xiong
Main Conference Track
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres Samuel Howard, Peter Potaptchik, George Deligiannidis
Main Conference Track
Taming generative video models for zero-shot optical flow extraction Seungwoo Kim, Khai Loong Aw, Klemen Kotar, Cristobal Eyzaguirre, Wanhee Lee, Yunong Liu, Jared Watrous, Stefan Stojanov, Juan Carlos Niebles, Jiajun Wu, Daniel L Yamins
Main Conference Track
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics Tobias Würth, Niklas Freymuth, Gerhard Neumann, Luise Kärger
Main Conference Track
VeriThinker: Learning to Verify Makes Reasoning Model Efficient Zigeng Chen, Xinyin Ma, Gongfan Fang, Ruonan Yu, Xinchao Wang
Main Conference Track
Conformal Linguistic Calibration: Trading-off between Factuality and Specificity Zhengping Jiang, Anqi Liu, Ben Van Durme
Main Conference Track
Depth-Supervised Fusion Network for Seamless-Free Image Stitching Zhiying Jiang, Ruhao Yan, Zengxi Zhang, Bowei Zhang, Jinyuan Liu
Main Conference Track
Normalize Filters! Classical Wisdom for Deep Vision Gustavo Perez, Stella X. Yu
Main Conference Track
Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data shu chen, HongJun Xu, Ruichi Zhang, Mengke Li, Yonggang Zhang, Yang Lu, Bo Han, Yiu-ming Cheung, Hanzi Wang
Main Conference Track
PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement ZhanFeng Feng, Long Peng, Xin Di, Yong Guo, Wenbo Li, Yulun Zhang, Renjing Pei, Yang Wang, Yang Cao, Zheng-Jun Zha
Main Conference Track
Optimal community detection in dense bipartite graphs Julien Chhor, Parker Knight
Main Conference Track
SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification Zhenglin Lai, Mengyao Liao, Bingzhe Wu, Dong Xu, Zebin Zhao, Zhihang Yuan, Chao Fan, Jianqiang Li
Main Conference Track
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks Ruijia Liu, Ancheng Hou, Xiao Yu, Xiang Yin
Main Conference Track
Don’t call it privacy-preserving or human-centric pose estimation if you don’t measure privacy Error
Position Paper Track
GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning Shutong Ding, Ke Hu, Shan Zhong, Haoyang Luo, Weinan Zhang, Jingya Wang, Jun Wang, Ye Shi
Main Conference Track
Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards Xiaoyuan Liu, Tian Liang, Zhiwei He, Jiahao Xu, Wenxuan Wang, Pinjia He, Zhaopeng Tu, Haitao Mi, Dong Yu
Main Conference Track
Private Hyperparameter Tuning with Ex-Post Guarantee Badih Ghazi, Pritish Kamath, Alexander Knop, Ravi Kumar, Pasin Manurangsi, Chiyuan Zhang
Main Conference Track
Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning Jongchan Park, Mingyu Park, Donghwan Lee
Main Conference Track
No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need! Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Christian Kroer
Main Conference Track
On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models Hoigi Seo, Dong Un Kang, Hyunjin Cho, Joohoon Lee, Se Young Chun
Main Conference Track
DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing Zhijian Zhou, Xunye Tian, Liuhua Peng, Chao Lei, Antonin Schrab, Danica J. Sutherland, Feng Liu
Main Conference Track
Faster Fixed-Point Methods for Multichain MDPs Matthew Zurek, Yudong Chen
Main Conference Track
MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing Error
Datasets and Benchmarks Track
Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models Yasha Ektefaie, Andrew Shen, Lavik Jain, Maha Farhat, Marinka Zitnik
Main Conference Track
A Signed Graph Approach to Understanding and Mitigating Oversmoothing Jiaqi Wang, Xinyi Wu, James Cheng, Yifei Wang
Main Conference Track
NEP: Autoregressive Image Editing via Next Editing Token Prediction Huimin Wu, Xiaojian (Shawn) Ma, Haozhe Zhao, Yanpeng Zhao, Qing Li
Main Conference Track
From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models Charles W J Pugh, Paulina G. Nuñez-Valencia, Mafalda Dias, Jonathan Frazer
Main Conference Track
Hyperparameter Transfer Enables Consistent Gains of Matrix-Preconditioned Optimizers Across Scales Shikai Qiu, Charlie Chen, Hoang Phan, Qi Lei, Andrew Gordon Wilson
Main Conference Track
Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch? Yijie Hu, Zihao Zhou, Kaizhu Huang, Xiaowei Huang, Qiufeng Wang
Main Conference Track
A Hierarchy of Graphical Models for Counterfactual Inferences Hongshuo Yang, Elias Bareinboim
Main Conference Track
GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models Zhanwei Zhang, kaiyuan liu, Junjie Liu, Wenxiao Wang, Binbin Lin, Liang Xie, Chen Shen, Deng Cai
Main Conference Track
ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods Michal Kmicikiewicz, Vincent Fortuin, Ewa Szczurek
Main Conference Track
Towards Robust Zero-Shot Reinforcement Learning Kexin ZHENG, Lauriane Teyssier, Yinan Zheng, Yu Luo, Xianyuan Zhan
Main Conference Track
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning Mingqi Wu, Qiang Sun, Archer Yang
Main Conference Track
Learning to Generalize: An Information Perspective on Neural Processes Hui Li, Huafeng Liu, Shuyang Lin, Jingyue Shi, Yiran Fu, Liping Jing
Main Conference Track
Learning Diffusion Models with Flexible Representation Guidance Chenyu Wang, Cai Zhou, Sharut Gupta, Johnson Lin, Stefanie Jegelka, Stephen Bates, Tommi Jaakkola
Main Conference Track
Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery Jizhou Han, Shaokun Wang, Yuhang He, Chenhao Ding, Qiang Wang, Xinyuan Gao, SongLin Dong, Yihong Gong
Main Conference Track
CoUn: Empowering Machine Unlearning via Contrastive Learning Yasser Khalil, Mehdi Setayesh, Hongliang Li
Main Conference Track
Learning “Partner-Aware” Collaborators in Multi-Party Collaboration Abhijnan Nath, Nikhil Krishnaswamy
Main Conference Track
GeoRemover: Removing Objects and Their Causal Visual Artifacts Zixin Zhu, Haoxiang Li, Xuelu Feng, He Wu, Chunming Qiao, Junsong Yuan
Main Conference Track
Data-Adaptive Exposure Thresholds under Network Interference Vydhourie Thiyageswaran, Tyler H. McCormick, Jennifer Brennan
Main Conference Track
Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes Wei Wu, Xuan Tan, Yan Peng, Ling Chen, FangFang Li, Chuan Luo
Main Conference Track
Object-centric binding in Contrastive Language-Image Pretraining Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano
Main Conference Track
TTRL: Test-Time Reinforcement Learning Yuxin Zuo, Kaiyan Zhang, Li Sheng, Shang Qu, Ganqu Cui, Xuekai Zhu, Haozhan Li, yuchen zhang, Xinwei Long, Ermo Hua, Biqing Qi, Youbang Sun, Zhiyuan Ma, Lifan Yuan, Ning Ding, Bowen Zhou
Main Conference Track
Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
Main Conference Track
Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits Abdurakhmon Sadiev, Peter Richtarik, Ilyas Fatkhullin
Main Conference Track
From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging Dmitry Lvov, Ilya Pershin
Main Conference Track
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction Yuanpei Gao, Qi Yan, Yan Leng, Renjie Liao
Main Conference Track
Metis: A Foundation Speech Generation Model with Masked Generative Pre-training Yuancheng Wang, Jiachen Zheng, Junan Zhang, Xueyao Zhang, Huan Liao, Zhizheng Wu
Main Conference Track
Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning Jie Cheng, Gang Xiong, Ruixi Qiao, Lijun Li, Chao Guo, Junle Wang, Yisheng Lv, Fei-Yue Wang
Main Conference Track
VCM: Vision Concept Modeling with Adaptive Vision Token Compression via Instruction Fine-Tuning Run Luo, Renke Shan, Longze Chen, Ziqiang Liu, Lu Wang, Min Yang, Xiaobo Xia
Main Conference Track
A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation Yiwen Tu, Pingbang Hu, Jiaqi Ma
Main Conference Track
RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts Xuming He, Zhiyuan You, Junchao Gong, Couhua Liu, Xiaoyu Yue, Peiqin Zhuang, Wenlong Zhang, LEI BAI
Main Conference Track
Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation Sanjana Ramprasad, Byron Wallace
Main Conference Track
ImgEdit: A Unified Image Editing Dataset and Benchmark Yang Ye, Xianyi He, Zongjian Li, lin bin, Shenghai Yuan, Zhiyuan Yan, Bohan Hou, Li Yuan
Datasets and Benchmarks Track
Linearization Explains Fine-Tuning in Large Language Models Zahra Rahimi Afzal, Tara Esmaeilbeig, Mojtaba Soltanalian, Mesrob I Ohannessian
Main Conference Track
Probing Neural Combinatorial Optimization Models Zhiqin Zhang, Yining Ma, Zhiguang Cao, Hoong Chuin Lau
Main Conference Track
Dynamic View Synthesis as an Inverse Problem Hidir Yesiltepe, Pinar Yanardag
Main Conference Track
Care-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson’s Disease Gait Assessment Error
Datasets and Benchmarks Track
Distributional Adversarial Attacks and Training in Deep Hedging Guangyi He, Tobias Sutter, Lukas Gonon
Main Conference Track
Noise Matters: Optimizing Matching Noise for Diffusion Classifiers Yanghao Wang, Long Chen
Main Conference Track
Sketched Gaussian Mechanism for Private Federated Learning Qiaobo Li, Zhijie Chen, Arindam Banerjee
Main Conference Track
Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling Jiahao Wang, Weiye Xu, Aijun Yang, Wengang Zhou, Lewei Lu, Houqiang Li, Xiaohua Wang, Jinguo Zhu
Main Conference Track
CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models Error
Datasets and Benchmarks Track
Shape it Up! Restoring LLM Safety during Finetuning ShengYun Peng, Pin-Yu Chen, Jianfeng Chi, Seongmin Lee, Duen Horng Chau
Main Conference Track
ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay, Zhensong Zhang, Greg Slabaugh, Eduardo Pérez-Pellitero
Main Conference Track
Reinforcement Learning Finetunes Small Subnetworks in Large Language Models Sagnik Mukherjee, Lifan Yuan, Dilek Hakkani-Tur, Hao Peng
Main Conference Track
LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration Yuyao Zhang, Jinghao Li, Yu-Wing Tai
Main Conference Track
Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting Hyeongmin Lee, Kyungjune Baek
Main Conference Track
An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise Johanna Düngler, Amartya Sanyal
Main Conference Track
Faithful Dynamic Imitation Learning from Human Intervention with Dynamic Regret Minimization Bo Ling, Zhengyu Gan, Wanyuan Wang, Guanyu Gao, Weiwei Wu, Yan Lyu
Main Conference Track
Gaze Beyond the Frame: Forecasting Egocentric 3D Visual Span Heeseung Yun, Joonil Na, Jaeyeon Kim, Calvin Murdock, Gunhee Kim
Main Conference Track
AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation Wenyu Zhu, Jianhui Wang, Bowen Gao, Yinjun Jia, Haichuan Tan, Ya-Qin Zhang, Wei-Ying Ma, Yanyan Lan
Main Conference Track
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant Haibo Wang, Bo Feng, Zhengfeng Lai, Mingze Xu, Shiyu Li, Weifeng Ge, Afshin Dehghan, Meng Cao, Ping Huang
Main Conference Track
On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm Huan Li, Yiming Dong, Zhouchen Lin
Main Conference Track
LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation Huanlin Gao, Ping Chen, Fuyuan Shi, Chao Tan, Zhaoxiang Liu, Fang Zhao, Kai Wang, Shiguo Lian
Main Conference Track
Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation Dail Kim, Joon-Hyuk Chang
Main Conference Track
MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform Error
Datasets and Benchmarks Track
Self-Assembling Graph Perceptrons Jialong Chen, Tong Wang, Bowen Deng, Luonan Chen, Zibin Zheng, Chuan Chen
Main Conference Track
CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction Yiyi Liu, Chunyang Liu, Bohan Wang, Weiqin Jiao, Bojian Wu, Lubin Fan, Yuwei Chen, Fashuai Li, Biao Xiong
Main Conference Track
Structured Initialization for Vision Transformers Jianqiao Zheng, Xueqian Li, Hemanth Saratchandran, Simon Lucey
Main Conference Track
PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network Mingyao Zhou, Hao Sun, Wei Xie, Ming Dong, Chengji Wang, Mang Ye
Main Conference Track
Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment Chen Liu, Wenfang Yao, Kejing Yin, William K. Cheung, Jing Qin
Main Conference Track
Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs Mianchu Wang, Giovanni Montana
Main Conference Track
Scalable and adaptive prediction bands with kernel sum-of-squares Louis Allain, Sébastien Da Veiga, Brian Staber
Main Conference Track
Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones Daking Rai, Samuel Miller, Kevin Moran, Ziyu Yao
Main Conference Track
OmniTry: Virtual Try-On Anything without Masks Yutong Feng, Linlin Zhang, Hengyuan Cao, Yiming Chen, Xiaoduan Feng, Jian Cao, Yuxiong Wu, Bin Wang
Main Conference Track
A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity Kuat Gazizov, Miguel A. Carreira-Perpinan
Main Conference Track
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs Richard Suwandi, Feng Yin, Juntao Wang, Renjie Li, Tsung-Hui Chang, Sergios Theodoridis
Main Conference Track
Sequence Modeling with Spectral Mean Flows Jinwoo Kim, Max Beier, Petar Bevanda, Nayun Kim, Seunghoon Hong
Main Conference Track
Metric Automata Theory: A Unifying Theory of RNNs Adam Dankowiakowski, Alessandro Ronca
Main Conference Track
Don’t Give Up on Democratizing AI for the Wrong Reasons Error
Position Paper Track
FlareX: A Physics-Informed Dataset for Lens Flare Removal via 2D Synthesis and 3D Rendering Error
Datasets and Benchmarks Track
Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction Wenbo Shang, Zihan Feng, Yang Yajun, Xin Huang
Main Conference Track
The Underappreciated Power of Vision Models for Graph Structural Understanding Xinjian Zhao, Wei Pang, Zhongkai Xue, Xiangru Jian, Lei Zhang, Yaoyao Xu, Xiaozhuang Song, Shu Wu, Tianshu Yu
Main Conference Track
Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation Chenyang Jiang, Hang Zhao, Xinyu Zhang, Zhengcen Li, Qiben Shan, Shaocong Wu, Jingyong Su
Main Conference Track
Principled Data Augmentation for Learning to Solve Quadratic Programming Problems Chendi Qian, Christopher Morris
Main Conference Track
Sparta Alignment: Collectively Aligning Multiple Language Models through Combat Yuru Jiang, Wenxuan Ding, Shangbin Feng, Greg Durrett, Yulia Tsvetkov
Main Conference Track
Efficient Spectral Control of Partially Observed Linear Dynamical Systems Anand Brahmbhatt, Gon Buzaglo, Sofiia Druchyna, Elad Hazan
Main Conference Track
Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Wentao Gu, Guy-Bart Stan, Yiren Zhao, Caihua Shan
Main Conference Track
Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions Aobo Li, Jinjian Wu, Yongxu Liu, Leida Li, Weisheng Dong
Main Conference Track
FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing Kaixiang Yang, Xin Li, Yuxi Li, Qiang Li, Zhiwei Wang
Main Conference Track
Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction Tengfei Ma, Kun Chen, Yongsheng Zang, Yujie Chen, Xuanbai Ren, Bosheng Song, Hongxin Xiang, Yiping Liu, xiangxiang Zeng
Main Conference Track
Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization Haoran Xu, Liyuan Mao, Hui Jin, Weinan Zhang, Xianyuan Zhan, Amy Zhang
Main Conference Track
NAVIX: Scaling MiniGrid Environments with JAX Error
Datasets and Benchmarks Track
LabelAny3D: Label Any Object 3D in the Wild Jin Yao, Radowan Mahmud Redoy, Sebastian Elbaum, Matthew Dwyer, Zezhou Cheng
Main Conference Track
Distilling LLM Prior to Flow Model for Generalizable Agent’s Imagination in Object Goal Navigation Badi Li, Ren-Jie Lu, Yu Zhou, Jingke Meng, Wei-Shi Zheng
Main Conference Track
MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives Error
Datasets and Benchmarks Track
GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy Kailai Li, Jiong Lou, Jiawei Sun, Honghong Zeng, Wen Li, Chentao Wu, Yuan Luo, Wei Zhao, shouguo du, Jie LI
Main Conference Track
Accelerating Parallel Diffusion Model Serving with Residual Compression Jiajun Luo, Yicheng Xiao, Jianru Xu, Yangxiu You, Rongwei Lu, Chen Tang, Jingyan Jiang, Zhi Wang
Main Conference Track
A multiscale analysis of mean-field transformers in the moderate interaction regime Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi
Main Conference Track
Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning Sid Bharthulwar, Stone Tao, Hao Su
Main Conference Track
SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation Zhenyuan Qin, Xincheng Shuai, Henghui Ding
Main Conference Track
RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting Mohamad Hakam Shams Eddin, Yikui Zhang, Stefan Kollet, Jürgen Gall
Main Conference Track
The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective Thai-Hoang Pham, Jiayuan Chen, Seungyeon Lee, Yuanlong Wang, Sayoko Moroi, Xueru Zhang, Ping Zhang
Main Conference Track
CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections Keuntae Kim, Eunhye Jeong, Sehyeon Lee, Seohee Yoon, Yong Suk Choi
Main Conference Track
QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution Zhenwei Zhang, Fanhua Shang, Hongying Liu, Liang Wan, Wei Feng, Yanming Hui
Main Conference Track
From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos Error
Datasets and Benchmarks Track
SafeVid: Toward Safety Aligned Video Large Multimodal Models Yixu Wang, Jiaxin Song, Yifeng Gao, Xin Wang, YANG YAO, Yan Teng, Xingjun Ma, Yingchun Wang, Yu-Gang Jiang
Datasets and Benchmarks Track
Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error Panagiotis Giannoulis, Yorgos Pantis, Christos Tzamos
Main Conference Track
Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator Jianze Li, Jiezhang Cao, Zichen Zou, Xiongfei Su, Xin Yuan, Yulun Zhang, Yong Guo, Xiaokang Yang
Main Conference Track
Strategic Classification with Non-Linear Classifiers Benyamin Trachtenberg, Nir Rosenfeld
Main Conference Track
Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training Ipsita Ghosh, Ethan Nguyen, Christian Kümmerle
Main Conference Track
Model Merging in Pre-training of Large Language Models Yunshui Li, Yiyuan Ma, Shen Yan, Chaoyi Zhang, Jing Liu, Jianqiao Lu, Ziwen Xu, Mengzhao Chen, Minrui Wang, Shiyi Zhan, Jin Ma, Xunhao Lai, Yao Luo, Xingyan Bin, Hongbin Ren, Mingji Han, Wenhao Hao, Bairen Yi, LingJun Liu, Bole Ma, Xiaoying Jia, zhou Xun, liang xiang, Yonghui Wu
Main Conference Track
Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models Chunlong Xie, Kangjie Chen, Shangwei Guo, Shudong Zhang, Tianwei Zhang, Tao Xiang
Main Conference Track
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations Panqi Chen, Yifan Sun, Lei Cheng, YANG YANG, Weichang Li, Yang Liu, Weiqing Liu, Jiang Bian, Shikai Fang
Main Conference Track
DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy Yuran Wang, Ruihai Wu, Yue Chen, Jiarui Wang, Jiaqi Liang, Ziyu Zhu, Haoran Geng, Jitendra Malik, Pieter Abbeel, Hao Dong
Main Conference Track
TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising Jessica Fry, Xinyi Fu, Zhenghao Fu, Kaliroë Pappas, Lindley Winslow, Aobo Li
Datasets and Benchmarks Track
KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang
Main Conference Track
Learning to Integrate Diffusion ODEs by Averaging the Derivatives Wenze Liu, Xiangyu Yue
Main Conference Track
Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation Jingyao Li, Zhanshan Li, Shuai Lü
Main Conference Track
Treatment Effect Estimation for Optimal Decision-Making Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Mihaela van der Schaar, Stefan Feuerriegel
Main Conference Track
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation Harold Haodong Chen, Haojian Huang, Qifeng Chen, Harry Yang, Ser Nam Lim
Main Conference Track
Rotary Masked Autoencoders are Versatile Learners Uros Zivanovic, Serafina Di Gioia, Andre Scaffidi, Martín de los Rios, Gabriella Contardo, Roberto Trotta
Main Conference Track
Semi-supervised Graph Anomaly Detection via Robust Homophily Learning GUOGUO AI, Hezhe Qiao, Hui Yan, Guansong Pang
Main Conference Track
macOSWorld: A Multilingual Interactive Benchmark for GUI Agents Pei Yang, Hai Ci, Mike Zheng Shou
Main Conference Track
Scaling Image Geo-Localization to Continent Level Philipp Lindenberger, Paul-Edouard Sarlin, Jan Hosang, Marc Pollefeys, Simon Lynen, Eduard Trulls
Main Conference Track
Bootstrap Off-policy with World Model Guojian Zhan, Likun Wang, Xiangteng Zhang, Jiaxin Gao, Masayoshi TOMIZUKA, Shengbo Eben Li
Main Conference Track
Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2) Zhenjie Yang, Xiaosong Jia, Qifeng Li, Xue Yang, Maoqing Yao, Junchi Yan
Main Conference Track
IBGS: Image-Based Gaussian Splatting Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez, Miaomiao Liu
Main Conference Track
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds Emre Sahinoglu, Youbang Sun, Shahin Shahrampour
Main Conference Track
Scalable Valuation of Human Feedback through Provably Robust Model Alignment Masahiro Fujisawa, Masaki Adachi, Michael A Osborne
Main Conference Track
FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network Shuo Xu, Yu Chen, Shuxia Lin, Xin Geng, Xu Yang
Main Conference Track
Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis Bochen Lyu, Xiaojing Zhang, Fangyi Zheng, He Wang, Zheng Wang, Zhanxing Zhu
Main Conference Track
Towards Understanding Camera Motions in Any Video Error
Datasets and Benchmarks Track
AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy Error
Datasets and Benchmarks Track
Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective Jorge (Zhoujun) Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Nilabjo Dey, Yonghao Zhuang, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Taylor W. Killian, Haonan Li, Mikhail Yurochkin, Eric P Xing, Zhengzhong Liu, Zhiting Hu
Datasets and Benchmarks Track
Online Time Series Forecasting with Theoretical Guarantees Zijian Li, Changze Zhou, Minghao Fu, Sanjay Manjunath, Fan Feng, Guangyi Chen, Yingyao Hu, Ruichu Cai, Kun Zhang
Main Conference Track
Hankel Singular Value Regularization for Highly Compressible State Space Models Paul Schwerdtner, Jules Berman, Benjamin Peherstorfer
Main Conference Track
Deep learning for continuous-time stochastic control with jumps Patrick Cheridito, Jean-Loup Dupret, Donatien Hainaut
Main Conference Track
SPMDM: Enhancing Masked Diffusion Models through Simplifying Sampling Path Yichen Zhu, Weiyu Chen, James Kwok, Zhou Zhao
Main Conference Track
Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning Xingxing Yang, Jie Chen, Zaifeng Yang
Main Conference Track
VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Zhiwei Lin, Yongtao Wang
Main Conference Track
Omnidirectional 3D Scene Reconstruction from Single Image Ren Yang, Jiahao Li, Yan Lu
Main Conference Track
Free-Lunch Color-Texture Disentanglement for Stylized Image Generation Jiang Qin, Alexandra Gomez-Villa, Senmao Li, Shiqi Yang, Yaxing Wang, Kai Wang, Joost van de Weijer
Main Conference Track
Image Super-Resolution with Guarantees via Conformalized Generative Models Eduardo Adame, Daniel Csillag, Guilherme Tegoni Goedert
Main Conference Track
EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? Yuqian Yuan, Ronghao Dang, long li, Wentong Li, Dian Jiao, Xin Li, Deli Zhao, Fan Wang, Wenqiao Zhang, Jun Xiao, Yueting Zhuang
Datasets and Benchmarks Track
Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition Pei Peng, Ming-Kun Xie, Hang Hao, Tong Jin, Sheng-Jun Huang
Main Conference Track
From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction Zhida Zhao, Talas Fu, Yifan Wang, Lijun Wang, Huchuan Lu
Main Conference Track
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation François Rozet, Ruben Ohana, Michael McCabe, Gilles Louppe, Francois Lanusse, Shirley Ho
Main Conference Track
Distances for Markov chains from sample streams Sergio Calo, Anders Jonsson, Gergely Neu, Ludovic Schwartz, Javier Segovia-Aguas
Main Conference Track
Leveraging semantic similarity for experimentation with AI-generated treatments Lei Shi, David Arbour, Raghavendra Addanki, Ritwik Sinha, Avi Feller
Main Conference Track
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen, Chenyang Li, Gaichao Li, John E. Hopcroft, Kun He
Main Conference Track
ReCon-GS: Continuum-Preserved Gaussian Streaming for Fast and Compact Reconstruction of Dynamic Scenes Jiaye Fu, Qiankun Gao, Chengxiang Wen, Yanmin Wu, Siwei Ma, Jiaqi Zhang, Jian Jun Zhang
Main Conference Track
Online Learning of Pure States is as Hard as Mixed States Maxime Meyer, Soumik Adhikary, Naixu Guo, Patrick Rebentrost
Main Conference Track
Contrastive Self-Supervised Learning As Neural Manifold Packing Guanming Zhang, David Heeger, Stefano Martiniani
Main Conference Track
Recurrent Memory for Online Interdomain Gaussian Processes Wenlong Chen, Naoki Kiyohara, Harrison Zhu, Jacob Curran-Sebastian, Samir Bhatt, Yingzhen Li
Main Conference Track
Disentangled Representation Learning via Modular Compositional Bias whie jung, Dong Hoon Lee, Seunghoon Hong
Main Conference Track
AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition Parsa Rahimi, Damien Teney, Sébastien Marcel
Main Conference Track
AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches Wenjun Ji, Yuxiang Fu, Luyang Ying, Deng-Ping Fan, Yuyi Wang, Ming-Ming Cheng, Ivor Tsang, Qing Guo
Main Conference Track
QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks? Error
Datasets and Benchmarks Track
Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization He Chen, Jiajin Li, Anthony Man-Cho So
Main Conference Track
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations David Burt, Renato Berlinghieri, Stephen Bates, Tamara Broderick
Main Conference Track
Automaton Constrained Q-Learning Anastasios Manganaris, Vittorio Giammarino, Ahmed Qureshi
Main Conference Track
Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit, Hadrien Reynaud, Dong Yang, Pengfei Guo, Marc Edgar, Daguang Xu, Bernhard Kainz, Bjoern Menze
Main Conference Track
Long-tailed Recognition with Model Rebalancing JIAAN LUO, Feng Hong, Qiang Hu, Xiaofeng Cao, Feng Liu, Jiangchao Yao
Main Conference Track
DIFFSSR: Stereo Image Super-resolution Using Differential Transformer Dafeng Zhang
Main Conference Track
Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure Aleksandrs Slivkins, Yunzong Xu, Shiliang Zuo
Main Conference Track
Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification Xiaolei Wang, Tianhong Dai, Huihui Bai, Yao Zhao, Jimin XIAO
Main Conference Track
Exploring and Exploiting Model Uncertainty in Bayesian Optimization Zishi Zhang, Tao Ren, Yijie Peng
Main Conference Track
Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding Qian Ma, Ruoxiang Xu, Yongqiang Cai
Main Conference Track
TAPIP3D: Tracking Any Point in Persistent 3D Geometry Bowei Zhang, Lei Ke, Adam Harley, Katerina Fragkiadaki
Main Conference Track
How Particle System Theory Enhances Hypergraph Message Passing Yixuan Ma, Kai Yi, Pietro Lió, Shi Jin, Yuguang Wang
Main Conference Track
Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations Alexandru Crăciun, Debarghya Ghoshdastidar
Main Conference Track
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning Tianyi Bai, Yuxuan Fan, Qiu Jiantao, Fupeng Sun, Jiayi Song, Junlin Han, Zichen Liu, Conghui He, Wentao Zhang, Binhang Yuan
Main Conference Track
Consistency Conditions for Differentiable Surrogate Losses Drona Khurana, Anish Thilagar, Dhamma Kimpara, Rafael Frongillo
Main Conference Track
MolVision: Molecular Property Prediction with Vision Language Models Error
Datasets and Benchmarks Track
TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen
Main Conference Track
MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning Error
Datasets and Benchmarks Track
Learning Neural Exposure Fields for View Synthesis Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Christina Tsalicoglou, Keisuke Tateno, Jonathan Barron, Federico Tombari
Main Conference Track
DyMoDreamer: World Modeling with Dynamic Modulation Boxuan Zhang, Runqing Wang, Wei Xiao, Weipu Zhang, Jian Sun, Gao Huang, Jie Chen, Gang Wang
Main Conference Track
Generative Pre-trained Autoregressive Diffusion Transformer Yuan Zhang, Jiacheng Jiang, Guoqing Ma, Zhiying Lu, Bo Wang, Haoyang Huang, Jianlong Yuan, Nan Duan
Main Conference Track
HoliTom: Holistic Token Merging for Fast Video Large Language Models Kele Shao, Keda TAO, Can Qin, Haoxuan You, Yang Sui, Huan Wang
Main Conference Track
SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Yue Gong, Chuan Lei, Xiao Qin, Kapil Vaidya, Balakrishnan Narayanaswamy, Tim Kraska
Main Conference Track
A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities Han-Jia Ye, Si-Yang Liu, Wei-Lun (Harry) Chao
Main Conference Track
How Benchmark Prediction from Fewer Data Misses the Mark Guanhua Zhang, Florian E. Dorner, Moritz Hardt
Main Conference Track
Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers Zhengliang Shi, Lingyong Yan, Dawei Yin, Suzan Verberne, Maarten Rijke, Zhaochun Ren
Main Conference Track
Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference Stephen Zhao, Aidan Li, Rob Brekelmans, Roger Baker Grosse
Main Conference Track
Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang
Main Conference Track
Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs Fangrui Zhu, Hanhui Wang, Yiming Xie, Jing Gu, Tianye Ding, Jianwei Yang, Huaizu Jiang
Main Conference Track
An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction Tim van Erven, Jack Mayo, Julia Olkhovskaya, Chen-Yu Wei
Main Conference Track
Optimized Minimal 3D Gaussian Splatting Joo Chan Lee, Jong Hwan Ko, Eunbyung Park
Main Conference Track
Neurosymbolic Diffusion Models Emile van Krieken, Pasquale Minervini, Edoardo Maria Ponti, Antonio Vergari
Main Conference Track
REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites Error
Datasets and Benchmarks Track
How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning Max Weltevrede, Moritz Zanger, Matthijs Spaan, Wendelin Boehmer
Main Conference Track
Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji, Liujuan Cao
Main Conference Track
Training-Free Safe Denoisers for Safe Use of Diffusion Models Mingyu Kim, Dongjun Kim, Amman Yusuf, Stefano Ermon, Mi Jung Park
Main Conference Track
Training Language Models to Generate Quality Code with Program Analysis Feedback Feng Yao, Zilong Wang, Liyuan Liu, Junxia Cui, Li Zhong, Xiaohan Fu, Haohui Mai, Viswanathan Krishnan, Jianfeng Gao, Jingbo Shang
Main Conference Track
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum Wenquan Lu, Jiaqi Zhang, Hugues Van Assel, Randall Balestriero
Main Conference Track
PLD: A Choice-Theoretic List-Wise Knowledge Distillation Ejafa Bassam, Dawei Zhu, Kaigui Bian
Main Conference Track
Analyzing Similarity Metrics for Data Selection for Language Model Pretraining Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh, Srikumar Ramalingam, Gui Citovsky, Sanjiv Kumar
Main Conference Track
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting Jaebin Lee, Hankook Lee
Main Conference Track
Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks Ali Hariri, Alvaro Arroyo, Alessio Gravina, Moshe Eliasof, Carola-Bibiane Schönlieb, Davide Bacciu, Xiaowen Dong, Kamyar Azizzadenesheli, Pierre Vandergheynst
Main Conference Track
Generalized Linear Mode Connectivity for Transformers Alexander Theus, Alessandro Cabodi, Sotiris Anagnostidis, Antonio Orvieto, Sidak Pal Singh, Valentina Boeva
Main Conference Track
CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding Qin Xu, Qihang Wu, Lu Hongtao, Xiaoxia Cheng, Bo Jiang
Main Conference Track
PUATE: Efficient ATE Estimation from Treated (Positive) and Unlabeled Units Masahiro Kato, Fumiaki Kozai, RYO INOKUCHI
Main Conference Track
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems Deliang Wei, Peng Chen, Haobo Xu, Jiale Yao, Fang Li, Tieyong Zeng
Main Conference Track
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
Main Conference Track
DeepHalo: A Neural Choice Model with Controllable Context Effects Shuhan Zhang, Zhi Wang, Rui Gao, Shuang Li
Main Conference Track
Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li
Main Conference Track
Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers Daniel Dsouza, Julia Kreutzer, Adrien Morisot, Ahmet Üstün, Sara Hooker
Main Conference Track
GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization Shangshu Yu, Wen Li, Xiaotian Sun, Zhimin Yuan, Xin Wang, Sijie Wang, Rui She, Cheng Wang
Main Conference Track
Geometric Imbalance in Semi-Supervised Node Classification Liang Yan, Shengzhong Zhang, Bisheng Li, Menglin Yang, Chen Yang, Min Zhou, Weiyang Ding, Yutong Xie, zengfeng Huang
Main Conference Track
AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents Yichen Wang, Hangtao Zhang, Hewen Pan, Ziqi Zhou, Xianlong Wang, Peijin Guo, Lulu Xue, Shengshan Hu, Minghui Li, Leo Yu Zhang
Main Conference Track
SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning Chen Chen, Majid Abdolshah, Violetta Shevchenko, Hongdong Li, Chang Xu, Pulak Purkait
Main Conference Track
DeCaFlow: A deconfounding causal generative model Alejandro Almodóvar, Adrián Javaloy, Juan Parras, Santiago Zazo, Isabel Valera
Main Conference Track
Solving Inequality Proofs with Large Language Models Error
Datasets and Benchmarks Track
Solving Inverse Problems with FLAIR Julius Erbach, Dominik Narnhofer, Andreas Dombos, Bernt Schiele, Jan Eric Lenssen, Konrad Schindler
Main Conference Track
VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models Chongkai Gao, Zixuan Liu, Zhenghao Chi, Junshan Huang, Xin Fei, Yiwen Hou, Yuxuan Zhang, Yudi Lin, Zhirui Fang, Lin Shao
Main Conference Track
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang
Main Conference Track
InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts Error
Datasets and Benchmarks Track
Benchmarking Large Language Models with Integer Sequence Generation Tasks Error
Datasets and Benchmarks Track
ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention Yuhong CHOU, Zehao Liu, Rui-Jie Zhu, Xinyi Wan, Tianjian Li, Congying Chu, Qian Liu, Jibin Wu, Zejun MA
Main Conference Track
A Closer Look at Graph Transformers: Cross-Aggregation and Beyond Jiaming Zhuo, Ziyi Ma, Yintong Lu, Yuwei Liu, Kun Fu, Di Jin, Chuan Wang, Wu Wenning, Zhen Wang, Xiaochun Cao, Liang Yang
Main Conference Track
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning Anjie Liu, Jianhong Wang, Samuel Kaski, Jun Wang, Mengyue Yang
Main Conference Track
REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training Ziqiao Wang, Wangbo Zhao, Yuhao Zhou, Zekai Li, Zhiyuan Liang, Mingjia Shi, Xuanlei Zhao, Pengfei Zhou, Kaipeng Zhang, Zhangyang "Atlas" Wang, Kai Wang, Yang You
Main Conference Track
DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism HongXin Xu, Tianyu Guo, Xianwei Zhang
Main Conference Track
Robust and Diverse Multi-Agent Learning via Rational Policy Gradient Niklas Lauffer, Ameesh Shah, Micah Carroll, Sanjit A. Seshia, Stuart J Russell, Michael Dennis
Main Conference Track
Once Upon an Input: Reasoning via Per-Instance Program Synthesis Adam Stein, Neelay Velingker, Mayur Naik, Eric Wong
Main Conference Track
Normalization in Attention Dynamics Nikita Karagodin, Shu Ge, Yury Polyanskiy, Philippe Rigollet
Main Conference Track
Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound Tal Fiskus, Uri Shaham
Main Conference Track
LIFEBENCH: Evaluating Length Instruction Following in Large Language Models Wei Zhang, Zhenhong Zhou, Kun Wang, Junfeng Fang, Rongwu Xu, Yuanhe Zhang, Rui Wang, Ge Zhang, Xinfeng Li, Li Sun, Lingjuan Lyu, Yang Liu, Sen Su
Datasets and Benchmarks Track
Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins ZAIXI ZHANG, Ruofan Jin, Le Cong, Mengdi Wang
Main Conference Track
TreeSplat: Mergeable Tree for Deformable Gaussian Splatting Qiuhong Shen, Xingyi Yang, Xinchao Wang
Main Conference Track
Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving Fangzhou Wu, Sandeep Silwal
Main Conference Track
On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks Stephen Obadinma, Xiaodan Zhu
Main Conference Track
GenIR: Generative Visual Feedback for Mental Image Retrieval Diji Yang, Minghao Liu, Chung-Hsiang Lo, Yi Zhang, James Davis
Main Conference Track
Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models Yixiao Wang, Zishan Shao, Ting Jiang, Aditya Devarakonda
Main Conference Track
Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models Yuanxi Yu, Fan Jiang, Xinzhu Ma, Liang Zhang, Bozitao Zhong, Wanli Ouyang, Guisheng Fan, Huiqun Yu, Liang Hong, Mingchen Li
Main Conference Track
Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph Mingxuan Ye, Jie Wang, Fangzhou, Zhihai Wang, Yufei Kuang, Xijun Li, Weilin Luo, Jianye Hao, Feng Wu
Main Conference Track
Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary ChuYu Zhou, Tianyu Li, Chenxi Lan, Rongyu Du, Guoguo Xin, Wei Li, Guoqing Wang, Xun Liu, Hangzhou Yang
Main Conference Track
URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training Dongyang Fan, Vinko Sabolčec, Martin Jaggi
Main Conference Track
Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Dar-Yen Chen, Hmrishav Bandyopadhyay, Kai Zou, Yi-Zhe Song
Main Conference Track
World Models as Reference Trajectories for Rapid Motor Adaptation Carlos Stein Brito, Daniel McNamee
Main Conference Track
Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs Error
Datasets and Benchmarks Track
MokA: Multimodal Low-Rank Adaptation for MLLMs Yake Wei, Yu Miao, Dongzhan Zhou, Di Hu
Main Conference Track
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation Yutong Feng, Xu Liu, Yutong Xia, Yuxuan Liang
Main Conference Track
Vision Transformers with Self-Distilled Registers Zipeng Yan, Yinjie Chen, Chong Zhou, Bo Dai, Andrew Luo
Main Conference Track
Rethinking Verification for LLM Code Generation: From Generation to Testing Zihan Ma, Taolin Zhang, Maosongcao, Junnan Liu, Wenwei Zhang, Minnan Luo, Songyang Zhang, Kai Chen
Main Conference Track
Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning Zhonghao He, Tianyi (Alex) Qiu, Hirokazu Shirado, Maarten Sap
Main Conference Track
Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework Yujie Xing, Xiao Wang, Bin Wu, Hai Huang, Chuan Shi
Main Conference Track
CogVLA: Cognition-Aligned Vision-Language-Action Models via Instruction-Driven Routing & Sparsification Wei Li, Renshan Zhang, Rui Shao, Jie He, Liqiang Nie
Main Conference Track
Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training Woojin Chung, Jeonghoon Kim
Main Conference Track
The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity Error
Datasets and Benchmarks Track
Don't be lazy: CompleteP enables compute-efficient deep transformers Nolan Dey, Bin Zhang, Lorenzo Noci, Mufan Li, Blake Bordelon, Shane Bergsma, Cengiz Pehlevan, Boris Hanin, Joel Hestness
Main Conference Track
Graph-Based Attention for Differentiable MaxSAT Solving Sota Moriyama, Katsumi Inoue
Main Conference Track
Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning Vittorio Giammarino, Ruiqi Ni, Ahmed Qureshi
Main Conference Track
Mechanism Design via the Interim Relaxation Kshipra Bhawalkar, Marios Mertzanidis, Divyarthi Mohan, Alexandros Psomas
Main Conference Track
Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework Shixuan Wang, Jingwen Ye, Xinchao Wang
Main Conference Track
Learning to cluster neuronal function Nina Nellen, Polina Turishcheva, Michaela Vystrčilová, Shashwat Sridhar, Tim Gollisch, Andreas S. Tolias, Alexander Ecker
Main Conference Track
MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation Zhenwen Liang, Linfeng Song, Yang Li, TAO YANG, Haitao Mi, Dong Yu
Main Conference Track
TimeWak: Temporal Chained-Hashing Watermark for Time Series Data Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad, Aditya Shankar, Jeroen Galjaard, Huijuan Wang, Lydia Chen
Main Conference Track
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling Beibu Li, Qichao Shentu, Yang Shu, Hui Zhang, Ming Li, Ning Jin, Bin Yang, Chenjuan Guo
Main Conference Track
Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation Ziying Li, Xuequan Lu, Xinkui Zhao, Guanjie Cheng, Shuiguang Deng, Jianwei Yin
Main Conference Track
Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations Da Ma, Gonghu Shang, Zhi Chen, Libo Qin, Yijie LUO, Hongshen Xu, Lei Pan, Shuai Fan, Kai Yu, Lu Chen
Main Conference Track
WMCopier: Forging Invisible Watermarks on Arbitrary Images Ziping Dong, Chao Shuai, Zhongjie Ba, Peng Cheng, Zhan Qin, Qinglong Wang, Kui Ren
Main Conference Track
AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents Error
Datasets and Benchmarks Track
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression Yeichan Kim, Ilmun Kim, Seyoung Park
Main Conference Track
Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World Qinting Jiang, Chuyang Ye, Dongyan Wei, Bingli Wang, Yuan Xue, Jingyan Jiang, Zhi Wang
Main Conference Track
HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation Panwang Pan, Tingting Shen, Chenxin Li, Yunlong Lin, Kairun Wen, Jingjing Zhao, Yixuan Yuan
Main Conference Track
Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes Kaiqing Lin, Zhiyuan Yan, Ke-Yue Zhang, Li Hao, Yue Zhou, Yuzhen Lin, Weixiang Li, Taiping Yao, Shouhong Ding, Bin Li
Main Conference Track
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning Thanh-Dat Truong, Christophe Bobda, Nitin Agarwal, Khoa Luu
Main Conference Track
Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency Naoki Nishikawa, Rei Higuchi, Taiji Suzuki
Main Conference Track
Explainable Reinforcement Learning from Human Feedback to Improve Alignment Shicheng Liu, Siyuan Xu, Wenjie Qiu, Hangfan Zhang, Minghui Zhu
Main Conference Track
Confounding Robust Deep Reinforcement Learning: A Causal Approach Mingxuan Li, Junzhe Zhang, Elias Bareinboim
Main Conference Track
Linear Mixture Distributionally Robust Markov Decision Processes Zhishuai Liu, Pan Xu
Main Conference Track
SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning Jiaqi Huang, Zunnan Xu, Jun Zhou, Ting Liu, Yicheng Xiao, Mingwen Ou, Bowen Ji, Xiu Li, Kehong Yuan
Main Conference Track
Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection Dongkeun Kim, Minsu Cho, Suha Kwak
Main Conference Track
Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration Yifeng Yu, Lu Yu
Main Conference Track
L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling Zhuo Chen, Oriol Comas, Zhuotao Jin, Di Luo, Marin Soljacic
Main Conference Track
Online Learning in the Repeated Mediated Newsvendor Problem Nataša Bolić, Tom Cesari, Roberto Colomboni, Christian Paravalos
Main Conference Track
AttentionPredictor: Temporal Patterns Matter for KV Cache Compression Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye Hao, Mingxuan Yuan, Bin Li
Main Conference Track
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation Ziyan Wang, Sizhe Wei, Xiaoming Huo, Hao Wang
Main Conference Track
DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO Jinyoung Park, Jeehye Na, Jinyoung Kim, Hyunwoo J. Kim
Main Conference Track
Siegel Neural Networks Xuan Son Nguyen, Aymeric Histace, Nistor Grozavu
Main Conference Track
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models Error
Datasets and Benchmarks Track
Just One Layer Norm Guarantees Stable Extrapolation Juliusz Ziomek, George Whittle, Michael A Osborne
Main Conference Track
SIFusion: A Unified Fusion Framework for Multi-granularity Arctic Sea Ice Forecasting Jingyi Xu, Shengnan Wang, Weidong Yang, Keyi Liu, Yeqi Luo, Ben Fei, LEI BAI
Main Conference Track
CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step Zheyuan Liu, Munan Ning, Qihui Zhang, Shuo Yang, Zhongrui Wang, Yiwei Yang, Xianzhe Xu, Yibing Song, Weihua Chen, Fan Wang, Li Yuan
Main Conference Track
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts Li Bai, Qingqing Ye, Xinwei Zhang, Sen Zhang, Zi Liang, Jianliang Xu, Haibo Hu
Main Conference Track
FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion Akide Liu, Zeyu Zhang, Zhexin Li, Xuehai Bai, Yuanjie Xing, Yizeng Han, Jiasheng Tang, Jichao Wu, Mingyang Yang, Weihua Chen, Jiahao He, Yuanyu He, Fan Wang, Reza Haffari, Bohan Zhuang
Main Conference Track
PyraMotion: Attentional Pyramid-Structured Motion Integration for Co-Speech 3D Gesture Synthesis Zhizhuo Yin, Yuk Hang Tsui, Pan Hui
Main Conference Track
Information-Theoretic Reward Decomposition for Generalizable RLHF Liyuan Mao, Haoran Xu, Amy Zhang, Weinan Zhang, Chenjia Bai
Main Conference Track
MMaDA: Multimodal Large Diffusion Language Models Ling Yang, Ye Tian, Bowen Li, Xinchen Zhang, Ke Shen, Yunhai Tong, Mengdi Wang
Main Conference Track
State Size Independent Statistical Error Bound for Discrete Diffusion Models Shintaro Wakasugi, Taiji Suzuki
Main Conference Track
Lost in Transmission: When and Why LLMs Fail to Reason Globally Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville
Main Conference Track
InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang
Main Conference Track
Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control Ming Cheng, Hao Chen, Zhiqing Li, Jia Wang, Senzhang Wang
Main Conference Track
Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations Marton Havasi, Brian Karrer, Itai Gat, Ricky T. Q. Chen
Main Conference Track
Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning Hisham Temmar, Yixuan Wang, Nina Gill, Nicholas Mellon, Chang Liu, Luis Cubillos, Rio Parsons, Joseph Costello, Matteo Ceradini, Madison Kelberman, Matthew J. Mender, Aren Hite, Dylan M. Wallace, Samuel Nason-Tomaszewski, Parag Patil, Matt Willsey, Anne Draelos, Cynthia A. Chestek
Datasets and Benchmarks Track
LLM Layers Immediately Correct Each Other Arjun Patrawala, Jiahai Feng, Erik Jones, Jacob Steinhardt
Main Conference Track
On Traceability in $\ell_p$ Stochastic Convex Optimization Sasha Voitovych, Mahdi Haghifam, Idan Attias, Gintare Karolina Dziugaite, Roi Livni, Dan Roy
Main Conference Track
VLMs can Aggregate Scattered Training Patches Zhanhui Zhou, Lingjie Chen, Chao Yang, Chaochao Lu
Main Conference Track
Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer Zechuan Zhang, Ji Xie, Yu Lu, Zongxin Yang, Yi Yang
Main Conference Track
SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning Jiaqi Chen, Bang Zhang, Ruotian Ma, Peisong Wang, Xiaodan Liang, Zhaopeng Tu, Xiaolong Li, Kwan-Yee K. Wong
Main Conference Track
ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding LinshuangDiao, Sensen Song, Yurong Qian, Dayong Ren
Main Conference Track
Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation Zhi-Kai Chen, Jun-Peng Jiang, Han-Jia Ye, De-Chuan Zhan
Main Conference Track
AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs Error
Position Paper Track
Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection Yinjie Min, Furong Xu, Xinyao Li, Changliang Zou, Yongdao Zhou
Main Conference Track
Performative Validity of Recourse Explanations Gunnar König, Hidde Fokkema, Timo Freiesleben, Celestine Mendler-Dünner, Ulrike V. Luxburg
Main Conference Track
MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Lei Xie, Sanglu Lu, Hongkai Wen
Main Conference Track
Integral Imprecise Probability Metrics Siu Lun (Alan) Chau, Michele Caprio, Krikamol Muandet
Main Conference Track
Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models Zidi Xiong, Shan Chen, Zhenting Qi, Himabindu Lakkaraju
Main Conference Track
Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation Zuhair Hasan Shaik, Abdullah Mazhar, Aseem Srivastava, Md Shad Akhtar
Main Conference Track
TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine Jiacheng Xie, Yang Yu, Ziyang Zhang, Shuai Zeng, Jiaxuan He, Ayush Vasireddy, Xiaoting tang, Congyu Guo, Lening Zhao, Congcong Jing, Guanghui An, Dong Xu
Datasets and Benchmarks Track
Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition Qu Yang, Xiyang Li, Fu Lin, Mang Ye
Main Conference Track
Modeling Cell Dynamics and Interactions with Unbalanced Mean Field Schrödinger Bridge Zhenyi Zhang, Zihan Wang, Yuhao Sun, Tiejun Li, Peijie Zhou
Main Conference Track
Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections Xiaomeng Xu, Yifan Hou, Zeyi Liu, Shuran Song
Main Conference Track
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity Seonghoon Yu, Dongjun Nam, Dina Katabi, Jeany Son
Main Conference Track
CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning Pengyi Li, Shixiong Kai, Jianye Hao, Ruizhe Zhong, Hongyao Tang, Zhentao Tang, Mingxuan Yuan, Junchi Yan
Main Conference Track
Large Language Models Miss the Multi-agent Mark Emanuele La Malfa, Gabriele La Malfa, Samuele Marro, Jie M. Zhang, Elizabeth Black, Michael Luck, Philip H.S. Torr, Michael Wooldridge
Position Paper Track
Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery Zhe Zhao, HaiBin Wen, Xianfu Liu, Rui Mao, Pengkun Wang, Liheng Yu, Linjiang Chen, Bo An, Qingfu Zhang, Yang Wang
Main Conference Track
TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks Error
Datasets and Benchmarks Track
Enhancing Graph Classification Robustness with Singular Pooling Sofiane Ennadir, Oleg Smirnov, Yassine ABBAHADDOU, Lele Cao, Johannes F. Lutzeyer
Main Conference Track
SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation Enzhi Zhang, Peng Chen, Rui Zhong, Du Wu, Jun Igarashi, Isaac Lyngaas, Xiao Wang, Masaharu Munetomo, Mohamed Wahib
Main Conference Track
Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning Jiwon Song, Dongwon Jo, Yulhwa Kim, jae-joon kim
Main Conference Track
OpenCUA: Open Foundations for Computer-Use Agents Xinyuan Wang, Bowen Wang, Dunjie Lu, Junlin Yang, Tianbao Xie, Junli Wang, Jiaqi Deng, Xiaole Guo, Yiheng Xu, Chen Wu, Zhennan Shen, Zhuokai Li, Ryan Li, Xiaochuan Li, Junda Chen, Boyuan Zheng, LI PEIHANG, Fangyu Lei, Ruisheng Cao, Yeqiao Fu, Dongchan Shin, Martin Shin, Hu Jiarui, Yuyan Wang, Jixuan Chen, Yuxiao Ye, Danyang Zhang, Yipu Wang, Heng Wang, Diyi Yang, Victor Zhong, Y.Charles, Zhilin Yang, Tao Yu
Main Conference Track
Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers Yixiao Huang, Hanlin Zhu, Tianyu Guo, Jiantao Jiao, Somayeh Sojoudi, Michael I Jordan, Stuart J Russell, Song Mei
Main Conference Track
Imagine360: Immersive 360 Video Generation from Perspective Anchor Jing Tan, Shuai Yang, Tong Wu, Jingwen He, Yuwei Guo, Ziwei Liu, Dahua Lin
Main Conference Track
GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design Hanqun Cao, Haosen Shi, Chenyu Wang, Sinno Jialin Pan, Pheng-Ann Heng
Main Conference Track
Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown Error
Datasets and Benchmarks Track
Exploring the Limits of Vision-Language-Action Manipulation in Cross-task Generalization Jiaming Zhou, Ke Ye, Jiayi Liu, Teli Ma, Zifan Wang, Ronghe QIU, Kun-Yu Lin, Zhilin Zhao, Junwei Liang
Main Conference Track
Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians Akiyoshi Tomihari, Ryo Karakida
Main Conference Track
Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising Mateo Clémente, Leo Brunswic, Yang, Xuan Zhao, Yasser Khalil, Haoyu Lei, Amir Rasouli, Yinchuan Li
Main Conference Track
HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild Valentin Bieri, Marie-Julie Rakotosaona, Keisuke Tateno, Francis Engelmann, Leonidas Guibas
Datasets and Benchmarks Track
Vocabulary-Guided Gait Recognition Panjian Huang, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang
Main Conference Track
MPMAvatar: Learning 3D Gaussian Avatars with Accurate and Robust Physics-Based Dynamics Changmin Lee, Jihyun Lee, Tae-Kyun Kim
Main Conference Track
Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions Zeyu Wang, Yidan Song, Shihao Qin, Shanqing Yu, Yujin Huang, Qi Xuan, Xin Zheng
Main Conference Track
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning Anish Dhir, Cristiana Diaconu, Valentinian Lungu, James Requeima, Richard E Turner, Mark van der Wilk
Main Conference Track
Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition Sang Hoon Han, Seonho Lee, Hyeok Nam, Jae Hyeon Park, Min Hee Cha, Min Geol Kim, Hyunse Lee, Sangyeon Ahn, Moonju Chae, Sung In Cho
Main Conference Track
PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling Xiao Yu, Yan Fang, Yao Zhao, Yunchao Wei
Main Conference Track
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities Florian Sestak, Artur Toshev, Andreas Fürst, Günter Klambauer, Andreas Mayr, Johannes Brandstetter
Main Conference Track
Increasing the Utility of Synthetic Images through Chamfer Guidance Nicola DallAsen, Xiaofeng Zhang, Reyhane Askari Hemmat, Melissa Hall, Jakob J. Verbeek, Adriana Romero-Soriano, Michal Drozdzal
Main Conference Track
Dense SAE Latents Are Features, Not Bugs Xiaoqing Sun, Alessandro Stolfo, Joshua Engels, Ben Wu, Senthooran Rajamanoharan, Mrinmaya Sachan, Max Tegmark
Main Conference Track
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code Error
Datasets and Benchmarks Track
LLMs Encode Harmfulness and Refusal Separately Jiachen Zhao, Jing Huang, Zhengxuan Wu, David Bau, Weiyan Shi
Main Conference Track
SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agent Yandan Yang, Baoxiong Jia, Shujie Zhang, Siyuan Huang
Main Conference Track
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts Chaitanya Kapoor, Sudhanshu Srivastava, Meenakshi Khosla
Main Conference Track
AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models Xinyi Wang, Xun Yang, Yanlong Xu, Yuchen Wu, Zhen Li, Na Zhao
Main Conference Track
Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks Steffen Schotthöfer, Lexie Yang, Stefan Schnake
Main Conference Track
GOATex: Geometry & Occlusion-Aware Texturing Hyunjin Kim, Kunho Kim, Adam Lee, Wonkwang Lee
Main Conference Track
Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models Thanh-Dat Truong, Huu-Thien Tran, Tran Son, Bhiksha Raj, Khoa Luu
Main Conference Track
Procurement Auctions with Predictions: Improved Frugality for Facility Location Eric Balkanski, Nicholas DeFilippis, Vasilis Gkatzelis, Xizhi Tan
Main Conference Track
Distributionally Robust Performative Optimization Zhuangzhuang Jia, Yijie Wang, Roy Dong, Grani A. Hanasusanto
Main Conference Track
Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention Zhen Yang, Ziwei Du, Minghan Zhang, Wei Du, Jie Chen, Fulan Qian, Shu Zhao
Main Conference Track
Revisiting Agnostic Boosting Arthur da Cunha, Mikael Møller Høgsgaard, Andrea Paudice, Yuxin Sun
Main Conference Track
ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks Philip Schroeder, Ondrej Biza, Thomas Weng, Hongyin Luo, Jim Glass
Main Conference Track
Online Optimization for Offline Safe Reinforcement Learning Yassine Chemingui, Aryan Deshwal, Alan Fern, Thanh Nguyen-Tang, Jana Doppa
Main Conference Track
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Mengru Wang, Xingyu Chen, Yue Wang, Zhiwei He, Jiahao Xu, Tian Liang, Qiuzhi Liu, Yunzhi Yao, Wenxuan Wang, Ruotian Ma, Haitao Mi, Ningyu Zhang, Zhaopeng Tu, Xiaolong Li, Dong Yu
Main Conference Track
FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models Pukang Ye, Luo Junwei, Jiachen Shen, Saipan Zhou, Shangmin Dou, Zhenfu Cao, Hanzhe Yao, Xiaolei Dong, Yunbo Yang
Main Conference Track
SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning Wufei Ma, Yu-Cheng Chou, Qihao Liu, Xingrui Wang, Celso de Melo, Jianwen Xie, Alan L. Yuille
Main Conference Track
Reparameterized LLM Training via Orthogonal Equivalence Transformation Zeju Qiu, Simon Buchholz, Tim Xiao, Maximilian Dax, Bernhard Schölkopf, Weiyang Liu
Main Conference Track
Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs Mantas Mazeika, Xuwang Yin, Rishub Tamirisa, Jaehyuk Lim, Bruce W Lee, Richard Ren, Long Phan, Norman Mu, Oliver Zhang, Dan Hendrycks
Main Conference Track
scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling Error
Datasets and Benchmarks Track
Robust Graph Condensation via Classification Complexity Mitigation Jiayi Luo, Qingyun Sun, Beining Yang, Haonan Yuan, Xingcheng Fu, Yanbiao Ma, Jianxin Li, Philip S Yu
Main Conference Track
Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation Feichen Gan, Lu Youcun, Yingying Zhang, Yukun Liu
Main Conference Track
TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems Jiahao Yu, Haozhuang Liu, Yeqiu Yang, Lu Chen, Jian Wu, Yuning Jiang, Bo Zheng
Main Conference Track
Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors Yuwu Lu, Chunzhi Liu
Main Conference Track
First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training Gyudong Kim, Hyukju Na, Jin Kyu Kim, Hyunsung Jang, Jaemin Park, Jaegi Hwang, NAMKOO HA, Seungryong Kim, Young Geun Kim
Main Conference Track
Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection Herun Wan, Jiaying Wu, Minnan Luo, Zhi Zeng, Zhixiong Su
Main Conference Track
Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards Yuwei Cheng, Zifeng Zhao, Haifeng Xu
Main Conference Track
E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models Jiaheng Dong, Hong Jia, Soumyajit Chatterjee, Abhirup Ghosh, James Bailey, Ting Dang
Main Conference Track
Buffer layers for Test-Time Adaptation Hyeongyu Kim, GeonHui Han, Dosik Hwang
Main Conference Track
Individual Fairness In Strategic Classification Zhiqun Zuo, Mohammad Mahdi Khalili
Main Conference Track
The Best Instruction-Tuning Data are Those That Fit Dylan Zhang, Qirun Dai, Hao Peng
Main Conference Track
Think before Recommendation: Autonomous Reasoning-enhanced Recommender Xiaoyu Kong, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Jiancan Wu, Xiang Wang
Main Conference Track
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning Haozhen Zhang, Tao Feng, Jiaxuan You
Main Conference Track
Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training Tony Bonnaire, Raphaël Urfin, Giulio Biroli, Marc Mezard
Main Conference Track
Improving planning and MBRL with temporally-extended actions Palash Chatterjee, Roni Khardon
Main Conference Track
ZeroPatcher: Training-free Sampler for Video Inpainting and Editing Shaoshu Yang, Yingya Zhang, Ran He
Main Conference Track
TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels Jiahao Lu, Weitao Xiong, Jiacheng Deng, Peng Li, Tianyu Huang, Zhiyang Dou, Cheng Lin, Sai-Kit Yeung, Yuan Liu
Main Conference Track
Towards a Geometric Understanding of Tensor Learning via the t-Product Andong Wang, Yuning Qiu, Haonan Huang, Zhong Jin, Guoxu Zhou, Qibin Zhao
Main Conference Track
CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning Yifei Zhang, Hao Zhu, Junhao Dong, Haoran Shi, Ziqiao Meng, Piotr Koniusz, Han Yu
Main Conference Track
DSCS: Fast CPDAG-Based Verification of Collapsible Submodels in High-Dimensional Bayesian Networks Wentao Wu, Shiyuan He, Jianhua Guo
Main Conference Track
SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories zhangkai wu, Xuhui Fan, Hongyu Wu, Longbing Cao
Main Conference Track
Reading Recognition in the Wild Charig Yang, Samiul Alam, Shakhrul Iman Siam, Michael Proulx, Lambert Mathias, Kiran Somasundaram, Luis Pesqueira, James Fort, Sheroze Sheriffdeen, Omkar Parkhi, Yuheng Ren, Mi Zhang, Yuning Chai, Richard Newcombe, Hyo Jin Kim
Main Conference Track
Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads Zhoutong Wu, Yuan Zhang, Yiming Dong, Chenheng Zhang, Cong Fang, Kun Yuan, Zhouchen Lin
Main Conference Track
Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent Christy Li, Josep Lopez Camuñas, Jake Touchet, Jacob Andreas, Agata Lapedriza, Antonio Torralba, Tamar Rott Shaham
Main Conference Track
The Hawthorne Effect in Reasoning Models: Evaluating and Steering Test Awareness Sahar Abdelnabi, Ahmed Salem
Main Conference Track
Learning to Rank for In-Context Example Retrieval Yuwen Ji, Luodan Zhang, Ambyer han, Haoran Que, Lei Shi, Wang Chao, Yue Zhang
Main Conference Track
MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models Error
Datasets and Benchmarks Track
Computational Efficiency under Covariate Shift in Kernel Ridge Regression Andrea Della Vecchia, Arnaud Mavakala Watusadisi, Ernesto De Vito, Lorenzo Rosasco
Main Conference Track
Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method Han Xu, Yuyang Li, Yunfei Deng, Jiayi Ma, Guangcan Liu
Main Conference Track
Distributed mediation analysis with communication efficiency Shaomin Li
Main Conference Track
Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project Pratik Rathore, Zachary Frangella, Sachin Garg, Shaghayegh Fazliani, Michal Derezinski, Madeleine Udell
Main Conference Track
CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors Mingyuan Li, Tong Jia, Hao Wang, Bowen Ma, Luhui, Shiyi Guo, Da Cai, Dongyue Chen
Main Conference Track
Differentially Private Quantiles with Smaller Error Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh
Main Conference Track
Towards Robust Parameter-Efficient Fine-Tuning for Federated Learning Xiuwen Fang, Mang Ye
Main Conference Track
Planning and Learning in Average Risk-aware MDPs Weikai Wang, Erick Delage
Main Conference Track
DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding Error
Datasets and Benchmarks Track
PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations Error
Datasets and Benchmarks Track
World Models Should Prioritize the Unification of Physical and Social Dynamics Xiaoyuan Zhang, Chengdong Ma, Yizhe Huang, Weidong Huang, Siyuan Qi, Song-Chun Zhu, Xue Feng, Yaodong Yang
Position Paper Track
Nearly-Linear Time and Massively Parallel Algorithms for $k$-anonymity Kevin Aydin, Honghao Lin, David P. Woodruff, Peilin Zhong
Main Conference Track
Enhancing Consistency of Flow-Based Image Editing through Kalman Control Haozhe Chi, Zhicheng Sun, Yang Jin, Yi Ma, Jing Wang, Yadong Mu
Main Conference Track
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia Chandler Smith, Marwa Abdulhai, Manfred Díaz, Marko Tesic, Rakshit S Trivedi, Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar Duenez-Guzman, John Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Hieu Minh Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Shi, Yoonchang Sung, Muhammad Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi, Toryn Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Rios, Oswaldo Peña, Carlos Rojas, Manuela Chacon-Chamorro, Rubén Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, shuqing shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Wu Ruiyang, Chetan Talele, Sunjia Lu, Gema Parreno, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, José Hernández-Orallo, Joel Z Leibo
Datasets and Benchmarks Track
EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification Lin Zhang, Wenshuo Dong, Zhuoran Zhang, Shu Yang, Lijie Hu, Ninghao Liu, Pan Zhou, Di Wang
Main Conference Track
Learning conformational ensembles of proteins based on backbone geometry Nicolas Wolf, Leif Seute, Vsevolod Viliuga, Simon Wagner, Jan Stühmer, Frauke Gräter
Main Conference Track
X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection Tong Wei, Bolin Wang, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
Main Conference Track
Efficiently Scaling LLM Reasoning Programs with Certaindex Yichao Fu, Junda Chen, Siqi Zhu, Fu, Zhongdongming Dai, Yonghao Zhuang, Yian Ma, Aurick Qiao, Tajana S Rosing, Ion Stoica, Hao Helen Zhang
Main Conference Track
Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator Gongwei Chen, Lirong Jie, Lexiao Zou, Weili Guan, Miao Zhang, Liqiang Nie
Main Conference Track
SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations Buyun Liang, Liangzu Peng, Jinqi Luo, Darshan Thaker, Kwan Ho Ryan Chan, Rene Vidal
Main Conference Track
Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities Yan Zhuang, Minhao Liu, Wei Bai, Yanru Zhang, Wei Li, Jiawen Deng, Fuji Ren
Main Conference Track
QUT-DV25: A Dataset for Dynamic Analysis of Next-Gen Software Supply Chain Attacks Error
Datasets and Benchmarks Track
FEAT: Free energy Estimators with Adaptive Transport Yuanqi Du, Jiajun He, Francisco Vargas, Yuanqing Wang, Carla P. Gomes, José Miguel Hernández-Lobato, Eric Vanden-Eijnden
Main Conference Track
Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats Jiaye Qian, Ge Zheng, Yuchen Zhu, Sibei Yang
Main Conference Track
Enhancing Privacy in Multimodal Federated Learning with Information Theory Tianzhe Xiao, Yichen Li, Yining Qi, YI LIU, wangshi.ww, Haozhao Wang, Yi Wang, Ruixuan Li
Main Conference Track
Targeted Maximum Likelihood Learning: An Optimization Perspective Diyang Li, Kyra Gan
Main Conference Track
Rethinking the Role of Verbatim Memorization in LLM Privacy Tom Sander, Bargav Jayaraman, Mark Ibrahim, Kamalika Chaudhuri, Chuan Guo
Main Conference Track
Simulation-Based Inference for Adaptive Experiments Brian Cho, Aurelien Bibaut, Nathan Kallus
Main Conference Track
JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, jianzhang gao, Daoan Zhang, Wei Zhang, Sheng Jin, Sicheng Yu, Geng Zhan, Jiayi Ji, Fan Zhou, Liang Zheng, Shuicheng Yan, Hao Fei, Tat-Seng Chua
Main Conference Track
HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts Yinuo Jiang, Yan Xiaodong, Keyan Ding, Deng Zhao, Lei Liang, Qiang Zhang, Huajun Chen
Main Conference Track
Temporal-Difference Variational Continual Learning Luckeciano Carvalho Melo, Alessandro Abate, Yarin Gal
Main Conference Track
STAR: A Benchmark for Astronomical Star Fields Super-Resolution WU KUO-CHENG, Guohang Zhuang, Jinyang Huang, Xiang Zhang, Wanli Ouyang, Yan Lu
Datasets and Benchmarks Track
SOMBRL: Scalable and Optimistic Model-Based RL Bhavya, Lenart Treven, Carmelo Sferrazza, Florian Dorfler, Pieter Abbeel, Andreas Krause
Main Conference Track
SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts Haoyuan Liang, Shilei Cao, Li, Zhiyu Ye, Haohuan Fu, Juepeng Zheng
Main Conference Track
WKV-sharing embraced random shuffle RWKV high-order modeling for pan-sharpening man zhou, Xuanhua He, Danfeng Hong, Bo Huang
Main Conference Track
Demystifying Network Foundation Models Error
Datasets and Benchmarks Track
Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs Jinzhe Liu, Junshu Sun, Shufan Shen, Chenxue Yang, Shuhui Wang
Main Conference Track
OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states Yuki Minai, Joana Soldado-Magraner, Byron M Yu, Matthew A. Smith
Main Conference Track
InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection Jinguo Luo, Weihong Ren, Quanlong Zheng, Yanhao Zhang, Zhenlong Yuan, Zhiyong Wang, Haonan Lu, Honghai LIU
Main Conference Track
Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints Abhishek Sinha, Rahul Vaze
Main Conference Track
HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts Neil He, Rishabh Anand, Hiren Madhu, Ali Maatouk, Smita Krishnaswamy, Leandros Tassiulas, Menglin Yang, Rex Ying
Main Conference Track
PlanU: Large Language Model Reasoning through Planning under Uncertainty Ziwei Deng, Mian Deng, Chenjing Liang, Zeming Gao, Chennan Ma, Chenxing Lin, Haipeng Zhang, Songzhu Mei, Siqi Shen, Cheng Wang
Main Conference Track
OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation Bo-Wen Yin, Jiao-Long Cao, Xuying Zhang, Yuming Chen, Ming-Ming Cheng, Qibin Hou
Main Conference Track
Understanding and Enhancing Mask-Based Pretraining towards Universal Representations Mingze Dong, Leda Wang, Yuval Kluger
Main Conference Track
Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning Yunpeng Jiang, Jianshu Hu, Paul Weng, Yutong Ban
Main Conference Track
DOTA: Distributional Test-time Adaptation of Vision-Language Models Zongbo Han, Jialong Yang, Guangyu Wang, Junfan Li, Qianli Xu, Mike Zheng Shou, Changqing Zhang
Main Conference Track
Stabilizing LTI Systems under Partial Observability: Sample Complexity and Fundamental Limits Ziyi Zhang, Yorie Nakahira, Guannan Qu
Main Conference Track
Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2 Ziqi Zhou, Yifan Hu, Yufei Song, Zijing Li, Shengshan Hu, Leo Yu Zhang, Dezhong Yao, Long Zheng, Hai Jin
Main Conference Track
Metropolis-Hastings Sampling for 3D Gaussian Reconstruction Hyunjin Kim, Haebeom Jung, Jaesik Park
Main Conference Track
Approximation theory for 1-Lipschitz ResNets Davide Murari, Takashi Furuya, Carola-Bibiane Schönlieb
Main Conference Track
LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing Ruijie (Ray) Zhang, Ziyue (Alvin) Liu, Zhengyang Wang, Zheng Zhang
Main Conference Track
FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks Chenhui Xu, Dancheng Liu, Amir Nassereldine, Jinjun Xiong
Main Conference Track
Event-Driven Dynamic Scene Depth Completion Zhiqiang Yan, Jianhao Jiao, Zhengxue Wang, Gim Hee Lee
Main Conference Track
From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps Paul Rosu, Lawrence Carin, Xiang Cheng
Main Conference Track
Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames Anurag Arnab, Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid
Main Conference Track
CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization WEI XING, Zhenjie Lu, Akeel Shah
Main Conference Track
Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks Yan Zhang, Yang Gao, Min Li
Main Conference Track
FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding Chongjun Tu, Lin Zhang, pengtao chen, Peng Ye, Xianfang Zeng, Wei Cheng, Gang Yu, Tao Chen
Datasets and Benchmarks Track
ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints Rui Xu, Dakuan Lu, Zicheng Zhao, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, yinghui xu
Main Conference Track
Scalable Neural Incentive Design with Parameterized Mean-Field Approximation Nathan Corecco, Batuhan Yardim, Vinzenz Thoma, Zebang Shen, Niao He
Main Conference Track
State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding Jiahuan Zhou, Kai Zhu, Zhenyu Cui, Zichen Liu, Xu Zou, Gang Hua
Main Conference Track
Efficient Data Selection at Scale via Influence Distillation Mahdi Nikdan, Vincent Cohen-Addad, Dan Alistarh, Vahab Mirrokni
Main Conference Track
Dependency Parsing is More Parameter-Efficient with Normalization Paolo Gajo, Domenic Rosati, Hassan Sajjad, Alberto Barrón-Cedeño
Main Conference Track
Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing Junfei Wu, Jian Guan, Kaituo Feng, Qiang Liu, Shu Wu, Liang Wang, Wei Wu, Tieniu Tan
Main Conference Track
Setting $\varepsilon$ is not the Issue in Differential Privacy Error
Position Paper Track
OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information Xuehui Wang, Chongjie Si, Xue Yang, Yuzhi Zhao, Wenhai Wang, Xiaokang Yang, Wei Shen
Main Conference Track
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation Yinghui Liu, Hao Miao, Guojiang Shen, Yan Zhao, Xiangjie Kong, Ivan Lee
Main Conference Track
Improving Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias Xinyan Liang, Shuai Li, Qian Guo, Yuhua Qian, Bingbing Jiang, Tingjin Luo, Liang Du
Main Conference Track
On Fairness of Unified Multimodal Large Language Model for Image Generation Ming Liu, Hao Chen, Jindong Wang, Liwen Wang, Bhiksha Raj, Wensheng Zhang
Main Conference Track
ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness Yijun Liang, Ming Li, Chenrui Fan, Ziyue Li, Dang Nguyen, Kwesi Cobbina, Shweta Bhardwaj, Jiuhai Chen, Fuxiao Liu, Tianyi Zhou
Datasets and Benchmarks Track
Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation Xiaoyu Yue, ZiDong Wang, Yuqing Wang, Wenlong Zhang, Xihui Liu, Wanli Ouyang, LEI BAI, Luping Zhou
Main Conference Track
Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions Jiehua Chen, Jiong Guo, Yinghui Wen
Main Conference Track
QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation Changxin Ke, Rui Zhang, Shuo Wang, Li Ding, Guangli Li, Yuanbo Wen, Shuoming Zhang, Ruiyuan Xu, Jin Qin, Jiaming Guo, Chenxi Wang, Ling Li, Qi Guo, Yunji Chen
Main Conference Track
NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data Haolong Qian, Xianliang Yang, Ling Zhang, Lei Song, Jiang Bian, Chun Yuan
Main Conference Track
GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning jusheng zhang, Yijia Fan, Wenjun Lin, Ruiqi Chen, Haoyi Jiang, Wenhao Chai, Jian Wang, Keze Wang
Main Conference Track
Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning Yinjie Wang, Ling Yang, Ye Tian, Ke Shen, Mengdi Wang
Main Conference Track
Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning Haolei Xu, Yuchen Yan, Yongliang Shen, Wenqi Zhang, Guiyang Hou, Shengpei Jiang, Kaitao Song, Weiming Lu, Jun Xiao, Yueting Zhuang
Main Conference Track
SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes Yifan Yang, Zhen Zhang, Rupak Vignesh Swaminathan, Jing Liu, Nathan Susanj, Zheng Zhang
Main Conference Track
Nonlinear Laplacians: Tunable principal component analysis under directional prior information Yuxin Ma, Dmitriy Kunisky
Main Conference Track
Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study ‪Yotam Alexander‬‏, Yonatan Slutzky, Yuval Ran-Milo, Nadav Cohen
Main Conference Track
MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging Zihuan Qiu, Yi Xu, Chiyuan He, Fanman Meng, Linfeng Xu, Qingbo Wu, Hongliang Li
Main Conference Track
Bag of Tricks for Inference-time Computation of LLM Reasoning Fan LIU, Wen-Shuo Chao, Naiqiang Tan, Hao Liu
Datasets and Benchmarks Track
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion Jaehyun Park, Konyul Park, Daehun Kim, Junseo Park, Jun Won Choi
Main Conference Track
Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design Yunfan Li, Eric Liu, Lin F. Yang
Main Conference Track
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Hang Hua, Ziyun Zeng, Yizhi Song, Yunlong Tang, Liu He, Daniel Aliaga, Wei Xiong, Jiebo Luo
Datasets and Benchmarks Track
DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization YUANTIAN SHAO, Yuanteng Chen, Peisong Wang, Jianlin Yu, Jing Lin, yiwu yao, Zhihui Wei, Jian Cheng
Main Conference Track
EDBench: Large-Scale Electron Density Data for Molecular Modeling Hongxin Xiang, Ke Li, Mingquan Liu, Zhixiang Cheng, Bin Yao, Wenjie Du, Jun Xia, Li Zeng, Xin Jin, xiangxiang Zeng
Datasets and Benchmarks Track
Sequentially Auditing Differential Privacy Tomás González Lara, Mateo Dulce Rubio, Aaditya Ramdas, Mónica Ribero
Main Conference Track
Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection Lin Zhu, Tengyu Long, Xiao Wang, Lizhi Wang, Hua Huang
Main Conference Track
CG-SSL: Concept-Guided Self-Supervised Learning Sara Atito, Josef Kittler, Imran Razzak, Muhammad Awais
Main Conference Track
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems Rui Liu, Yu Shen, Peng Gao, Pratap Tokekar, Ming C. Lin
Main Conference Track
Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs Evangelos Dorovatas, Soroush Seifi, Gunshi Gupta, Rahaf Aljundi
Main Conference Track
Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos Junyi Wu, Jiachen Tao, Haoxuan Wang, Gaowen Liu, Ramana Kompella, Yan Yan
Main Conference Track
Geometry of Decision Making in Language Models Abhinav Joshi, Divyanshu Bhatt, Ashutosh Modi
Main Conference Track
Disentangling Latent Shifts of In-Context Learning with Weak Supervision Josip Jukić, Jan Šnajder
Main Conference Track
Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space Zitao Chen, Yinjun Jia, Zitong Tian, Wei-Ying Ma, Yanyan Lan
Main Conference Track
Purifying Approximate Differential Privacy with Randomized Post-processing Yingyu Lin, Erchi Wang, Yian Ma, Yu-Xiang Wang
Main Conference Track
HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance Jiazi Bu, Pengyang Ling, Yujie Zhou, Pan Zhang, Tong Wu, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Dahua Lin, Jiaqi Wang
Main Conference Track
Learning (Approximately) Equivariant Networks via Constrained Optimization Andrei Manolache, Luiz Chamon, Mathias Niepert
Main Conference Track
Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration Wenjie Li, Xiangyi Wang, Heng Guo, Guangwei Gao, Zhanyu Ma
Main Conference Track
K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling Yongrui Chen, Yi Huang, Yunchang Liu, Shenyu Zhang, Junhao He, Tongtong Wu, Guilin Qi, Tianxing Wu
Main Conference Track
Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf’s Law Frederik Kunstner, Francis Bach
Main Conference Track
Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders James Oldfield, Shawn Im, Sharon Li, Mihalis A. Nicolaou, Ioannis Patras, Grigorios Chrysos
Main Conference Track
EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai
Main Conference Track
Least squares variational inference Yvann Le Fay, Nicolas Chopin, Simon Barthelmé
Main Conference Track
Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning RUIYAO MIAO, Junren Xiao, Shiya Tsang, Hui Xiong, Ying Nian Wu
Main Conference Track
UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens Ruichuan An, Sihan Yang, Renrui Zhang, zijun shen, Ming Lu, Gaole Dai, Hao Liang, Ziyu Guo, Shilin Yan, Yulin Luo, Bocheng Zou, Chaoqun Yang, Wentao Zhang
Main Conference Track
Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge Nimrod Berman, Omkar Joglekar, Eitan Kosman, Dotan Di Castro, Omri Azencot
Main Conference Track
Active Seriation: Efficient Ordering Recovery with Statistical Guarantees James Cheshire, Yann Issartel
Main Conference Track
TANDEM: Bi-Level Data Mixture Optimization with Twin Networks Jiaxing Wang, Deping Xiang, Jin Xu, Mingyang Yi, Guoqiang Gong, Zicheng Zhang, Haoran Li, Pengzhang Liu, Zhen Chen, Ke Zhang, Ju Fan, Qixia Jiang
Main Conference Track
Variational Inference with Mixtures of Isotropic Gaussians Marguerite Petit-Talamon, Marc Lambert, Anna Korba
Main Conference Track
HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions Rafael Bischof, Michal Piovarci, Michael Kraus, Siddhartha Mishra, Bernd Bickel
Main Conference Track
MVSMamba: Multi-View Stereo with State Space Model Jianfei Jiang, Qiankun Liu, Hongyuan Liu, Haochen Yu, Liyong Wang, Jiansheng Chen, Huimin Ma
Main Conference Track
Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure Ramin Akbari, Milad Afshari, Vishnu Boddeti
Main Conference Track
Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks Kijung Yoon
Main Conference Track
DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment Sangwoo Kwon, Seong Hoon Seo, Jae W. Lee, Yeonhong Park
Main Conference Track
AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science Error
Datasets and Benchmarks Track
MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks Yinghao Zhu, Ziyi He, Haoran Hu, Xiaochen Zheng, Xichen Zhang, Wang, Junyi Gao, Liantao Ma, Lequan Yu
Datasets and Benchmarks Track
Safe and Stable Control via Lyapunov-Guided Diffusion Models Xiaoyuan Cheng, Xiaohang Tang, Yiming Yang
Main Conference Track
Problem-Parameter-Free Decentralized Bilevel Optimization Zhiwei Zhai, Wenjing Yan, Ying-Jun Zhang
Main Conference Track
SONAR: Long-Range Graph Propagation Through Information Waves Alessandro Trenta, Alessio Gravina, Davide Bacciu
Main Conference Track
RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator SangYong Lee, Sangjun Chung, Simon Woo
Main Conference Track
Split Gibbs Discrete Diffusion Posterior Sampling Wenda Chu, Zihui Wu, Yifan Chen, Yang Song, Yisong Yue
Main Conference Track
Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion Senyu Hou, Yuru Ren, Gaoxia Jiang, Wenjian Wang
Main Conference Track
Credal Prediction based on Relative Likelihood Timo Löhr, Paul Hofman, Felix Mohr, Eyke Hüllermeier
Main Conference Track
Neural Tangent Knowledge Distillation for Optical Convolutional Networks Jinlin Xiang, Minho Choi, Yubo Zhang, Zhihao Zhou, Arka Majumdar, Eli Shlizerman
Main Conference Track
SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series Error
Datasets and Benchmarks Track
PlayerOne: Egocentric World Simulator Yuanpeng Tu, Hao Luo, Xi Chen, Xiang Bai, Fan Wang, Hengshuang Zhao
Main Conference Track
Truthful Aggregation of LLMs with an Application to Online Advertising Ermis Soumalias, Michael Curry, Sven Seuken
Main Conference Track
Class-wise Balancing Data Replay for Federated Class-Incremental Learning Zhuang Qi, Ying-Peng Tang, Lei Meng, Han Yu, Xiaoxiao Li, Xiangxu Meng
Main Conference Track
A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals Ziyu Jia, Tingyu Du, Zhengyu Tian, Hongkai Li, Yong Zhang, Chenyu Liu
Main Conference Track
GMV: A Unified and Efficient Graph Multi-View Learning Framework Qipeng zhu, Jie Chen, Jian Pu, Junping Zhang
Main Conference Track
Steering Generative Models with Experimental Data for Protein Fitness Optimization Jason Yang, Wenda Chu, Daniel Khalil, Raul Astudillo, Bruce J. Wittmann, Frances Arnold, Yisong Yue
Main Conference Track
Guiding LLM Decision-Making with Fairness Reward Models Zara Hall, Melanie Subbiah, Thomas Zollo, Kathleen McKeown, Richard S. Zemel
Main Conference Track
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation Jiabei Cheng, Changxi Chi, Jingbo Zhou, Hongyi Xin, Jun Xia
Main Conference Track
DISC: Dynamic Decomposition Improves LLM Inference Scaling Jonathan Li, Wei Cheng, Benjamin Riviere, Yue Wu, Masafumi Oyamada, Mengdi Wang, Yisong Yue, Santiago Paternain, Haifeng Chen
Main Conference Track
PDPO: Parametric Density Path Optimization Sebastian Gutierrez Hernandez, Peng Chen, Hao-Min Zhou
Main Conference Track
Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models Vineet Jain, Kusha Sareen, Mohammad Pedramfar, Siamak Ravanbakhsh
Main Conference Track
Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles Aadirupa Saha, Robert E. Schapire
Main Conference Track
RrED: Black-box Unsupervised Domain Adaptation via Rectifying-reasoning Errors of Diffusion Yuwu Lu, Chunzhi Liu
Main Conference Track
MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking Error
Datasets and Benchmarks Track
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding Ahmed Masry, Juan Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Chris Pal, Issam Hadj Laradji, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar Mudumba
Main Conference Track
Smooth Regularization for Efficient Video Recognition Gil Goldman, Raja Giryes, Mahadev Satyanarayanan
Main Conference Track
Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets Zixian Yang, Sushil Varma, Lei Ying
Main Conference Track
Active Measurement: Efficient Estimation at Scale Max Hamilton, Jinlin Lai, Wenlong Zhao, Subhransu Maji, Daniel R. Sheldon
Main Conference Track
Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games Andreas Kontogiannis, Vasilis Pollatos, Gabriele Farina, Panayotis Mertikopoulos, Ioannis Panageas
Main Conference Track
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning Yichao Cai, Yuhang Liu, Erdun Gao, Tianjiao Jiang, Zhen Zhang, Anton van den Hengel, Prof Javen Qinfeng Shi
Main Conference Track
Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity Victor Li, Baiting Chen, Yuzhen Mao, Qi Lei, Zhun Deng
Main Conference Track
MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations Error
Datasets and Benchmarks Track
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions Sang Choe, Hwijeen Ahn, Juhan Bae, Kewen Zhao, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff G. Schneider, Eduard Hovy, Roger Baker Grosse, Eric P Xing
Main Conference Track
Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach Geonho Hwang
Main Conference Track
FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens Chao Wang, Yixin Song, Jinhui Ye, Chuan Qin, Dazhong Shen, Lingfeng Liu, Xiang Wang, Yanyong Zhang
Main Conference Track
Sparse Image Synthesis via Joint Latent and RoI Flow Ziteng Gao, Jay Zhangjie Wu, Mike Zheng Shou
Main Conference Track
DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning Yongxin He, Shan Zhang, Yixuan Cao, Lei Ma, Ping Luo
Main Conference Track
Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies Error
Position Paper Track
Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation Jing Wang, Wonho Bae, Jiahong Chen, Wenxu Wang, Junhyug Noh
Main Conference Track
Pay Attention to Small Weights chao zhou, Tom Jacobs, Advait Gadhikar, Rebekka Burkholz
Main Conference Track
Near-Exponential Savings for Population Mean Estimation with Active Learning Julian Morimoto, JACOB GOLDIN, Daniel Ho
Main Conference Track
Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models Lexiang Xiong, Liu Chengyu, Jingwen Ye, YAN LIU, Yuecong Xu
Main Conference Track
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification Zinan Lin, Enshu Liu, Xuefei Ning, Junyi Zhu, Wenyu Wang, Sergey Yekhanin
Main Conference Track
Strategic Hypothesis Testing Yatong Chen, Safwan Hossain, Yiling Chen
Main Conference Track
Mask Image Watermarking Runyi Hu, Jie M. Zhang, Shiqian Zhao, Nils Lukas, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang
Main Conference Track
DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection Changhan Liu, xunzhi xiang, Zixuan Duan, Wenbin Li, Qi Fan, Yang Gao
Main Conference Track
Exploration via Feature Perturbation in Contextual Bandits Seouh-won Yi, Min-hwan Oh
Main Conference Track
GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs Advik Basani, Xiao Zhang
Main Conference Track
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Yunsheng Wu, Rongrong Ji, Caifeng Shan, Ran He
Datasets and Benchmarks Track
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis
Main Conference Track
A Theory for Worst-Case vs. Average-Case Guarantees for LLMs Noga Amit, Shafi Goldwasser, Orr Paradise, Guy Rothblum
Main Conference Track
Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty Valia Efthymiou, Chara Podimata, Diptangshu Sen, Juba Ziani
Main Conference Track
Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection Yu Guo, Shengfeng He, Yuxu Lu, Haonan An, Yihang Tao, Huilin Zhu, Jingxian Liu, Yuguang Fang
Main Conference Track
MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Liang Yue, Yihong Tang, Kehai Chen, Jie Liu, Min zhang
Main Conference Track
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning Haotian Gao, Zheng Dong, Jiawei Yong, Shintaro Fukushima, Kenjiro Taura, Renhe Jiang
Main Conference Track
What Do Latent Action Models Actually Learn? Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
Main Conference Track
STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving Christian Fruhwirth-Reisinger, Dušan Malić, Wei Lin, David Schinagl, Samuel Schulter, Horst Possegger
Datasets and Benchmarks Track
DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer Wentao Xu, Huiqiao Fu, Haoyu Dong, Zhehao Zhou, Chunlin Chen
Main Conference Track
We Should Chart an Atlas of All the World's Models Error
Position Paper Track
Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws Gerard Ben Arous, Murat A Erdogdu, Nuri Mert Vural, Denny Wu
Main Conference Track
Robust Regression of General ReLUs with Queries Ilias Diakonikolas, Daniel Kane, Mingchen Ma
Main Conference Track
AI Testing Should Account for Sophisticated Strategic Behaviour Error
Position Paper Track
Modelling the control of offline processing with reinforcement learning Eleanor Spens, Neil Burgess, Tim Behrens
Main Conference Track
DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs Ruokai Yin, Yuhang Li, Donghyun Lee, Priyadarshini Panda
Main Conference Track
Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard, Olivier Wintenberger
Main Conference Track
Gymnasium: A Standard Interface for Reinforcement Learning Environments Error
Datasets and Benchmarks Track
Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models Sophia Han, Howard Dai, Stephen Xia, Grant Zhang, Chen Liu, Lichang Chen, Hoang H Nguyen, Hongyuan Mei, Jiayuan Mao, R. Thomas McCoy
Main Conference Track
ConTextTab: A Semantics-Aware Tabular In-Context Learner Marco Spinaci, Marek Polewczyk, Maximilian Schambach, Sam Thelin
Main Conference Track
Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency Yukun Jiang, Mingjie Li, Michael Backes, Yang Zhang
Main Conference Track
ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training Xin Yao, Haiyang Zhao, Yimin Chen, Jiawei Guo, Kecheng Huang, Ming Zhao
Main Conference Track
Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs Guoliang He, Youhe Jiang, Wencong Xiao, Jiang Kaihua, Shuguang Wang, Jun Wang, Du Zixian, Zhuo Jiang, Xinlei Zhang, Binhang Yuan, Eiko Yoneki
Main Conference Track
Collapsing Taylor Mode Automatic Differentiation Felix Dangel, Tim Siebert, Marius Zeinhofer, Andrea Walther
Main Conference Track
SWE-bench Goes Live! Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, Junhao Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
Datasets and Benchmarks Track
Towards the Resistance of Neural Network Fingerprinting to Fine-tuning Ling Tang, YueFeng Chen, Hui Xue', Quanshi Zhang
Main Conference Track
Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes Zaiwei Chen
Main Conference Track
SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training Yehonathan Refael, Guy Smorodinsky, Tom Tirer, Ofir Lindenbaum
Main Conference Track
Remasking Discrete Diffusion Models with Inference-Time Scaling Guanghan Wang, Yair Schiff, Subham Sahoo, Volodymyr Kuleshov
Main Conference Track
RESPIN-S1.0: A read speech corpus of 10000+ hours in dialects of nine Indian Languages Error
Datasets and Benchmarks Track
Token Embeddings Violate the Manifold Hypothesis Michael Robinson, Sourya Dey, Tony Chiang
Main Conference Track
Word-Level Emotional Expression Control in Zero-Shot Text-to-Speech Synthesis Tianrui Wang, Haoyu Wang, Meng Ge, Cheng Gong, Chunyu Qiang, Ziyang Ma, Zikang Huang, Guanrou Yang, Xiaobao Wang, Eng-Siong Chng, Xie Chen, Longbiao Wang, Jianwu Dang
Main Conference Track
Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization Parvin Nazari, Bojian Hou, Davoud Ataee Tarzanagh, Li Shen, George Michailidis
Main Conference Track
TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling Yuancheng Wang, Dekun Chen, Xueyao Zhang, Junan Zhang, Jiaqi Li, Zhizheng Wu
Main Conference Track
DePass: Unified Feature Attributing by Simple Decomposed Forward Pass Xiangyu Hong, Che Jiang, Kai Tian, Biqing Qi, Youbang Sun, Ning Ding, Bowen Zhou
Main Conference Track
Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies Tianxing Man, Yu Bai, Ganyu Wang, Jinjie Fang, Haoran Fang, Bin Gu, Yi Chang
Main Conference Track
Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection Yu Li, Xingyu Qiu, Yuqian Fu, Jie Chen, Tianwen Qian, Xu Zheng, Danda Pani Paudel, Yanwei Fu, Xuanjing Huang, Luc V Gool, Yu-Gang Jiang
Main Conference Track
Execution Guided Line-by-Line Code Generation Boaz Lavon, Shahar Katz, Lior Wolf
Main Conference Track
VTON-VLLM: Aligning Virtual Try-On Models with Human Preferences Siqi Wan, Jingwen Chen, Qi Cai, Yingwei Pan, Ting Yao, Tao Mei
Main Conference Track
EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis Yancheng Zhang, Guangyu Sun, Chen Chen
Main Conference Track
A Gradient Guided Diffusion Framework for Chance Constrained Programming Boyang Zhang, Zhiguo Wang, Ya-Feng Liu
Main Conference Track
Open-World Drone Active Tracking with Goal-Centered Rewards Haowei Sun, Jinwu Hu, Zhirui Zhang, Haoyuan Tian, Xinze Xie, Yufeng Wang, Xiaohua Xie, Yun Lin, Zhuliang Yu, Mingkui Tan
Main Conference Track
From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots Yuxuan Wang, Ming Yang, Gang Ding, Yu Zhang, Weishuai Zeng, Xinrun Xu, Haobin Jiang, Zongqing Lu
Main Conference Track
MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning Seong-Hyeon Hwang, Soyoung Choi, Steven Euijong Whang
Main Conference Track
In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning Chao Li, Bingkun BAO, Yang Gao
Main Conference Track
Linearly Constrained Diffusion Implicit Models Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steve Seitz, John Thickstun
Main Conference Track
Counterfactual Identifiability via Dynamic Optimal Transport Fabio De Sousa Ribeiro, Ainkaran Santhirasekaram, Ben Glocker
Main Conference Track
Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi, Guido de Croon
Main Conference Track
Generalization Bounds for Rank-sparse Neural Networks Antoine Ledent, Rodrigo Alves, Yunwen Lei
Main Conference Track
Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks Longde Huang, Oleksandr Balabanov, Hampus Linander, Mats Granath, Daniel Persson, Jan Gerken
Main Conference Track
PanoWan: Lifting Diffusion Video Generation Models to 360$^\circ$ with Latitude/Longitude-aware Mechanisms Yifei Xia, Shuchen Weng, Siqi Yang, Jingqi Liu, Chengxuan Zhu, Minggui Teng, Zijian Jia, Han Jiang, Boxin Shi
Main Conference Track
CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates Tianyu Chen, Vansh Bansal, James Scott
Main Conference Track
Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares Lachlan MacDonald, Hancheng Min, Leandro Palma, Salma Tarmoun, Ziqing Xu, Rene Vidal
Main Conference Track
EVODiff: Entropy-aware Variance Optimized Diffusion Inference Shigui Li, Wei Chen, Delu Zeng
Main Conference Track
Semantic-guided Diverse Decoding for Large Language Model Weijie Shi, Yue Cui, Yaguang Wu, Jingzhi Fang, Shibo Zhang, Mengze Li, Sirui Han, Jia Zhu, Jiajie Xu, Xiaofang Zhou
Main Conference Track
Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning Remco Leijenaar, Hamidreza Kasaei
Main Conference Track
Learning Counterfactual Outcomes Under Rank Preservation Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang
Main Conference Track
Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning Wensong Bai, Chufan Chen, Yichao Fu, Qihang Xu, zhang chao, Hui Qian
Main Conference Track
Bounds on the computational complexity of neurons due to dendritic morphology Anamika Agrawal, Michael Buice
Main Conference Track
CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers Yoshihiro Yamada
Main Conference Track
VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree Wenlong Li, Yifei Xu, Yuan Rao, Zhenhua Wang, Shuiguang Deng
Main Conference Track
Meta-World+: An Improved, Standardized, RL Benchmark Error
Datasets and Benchmarks Track
Private Evolution Converges Tomás González Lara, Giulia Fanti, Aaditya Ramdas
Main Conference Track
Non-Uniform Multiclass Learning with Bandit Feedback Steve Hanneke, Amirreza Shaeiri, Hongao Wang
Main Conference Track
GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset Zhiwei Zhang, Zi Ye, Yibin Wen, Shuai Yuan, Haohuan Fu, Huang Jianxi, Juepeng Zheng
Datasets and Benchmarks Track
Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization Yanhao Jia, Ji Xie, S Jivaganesh, Li Hao, Xu Wu, Mengmi Zhang
Main Conference Track
Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization Matthew Bull, Po-Chen Kuo, Andrew Smith, Michael Buice
Main Conference Track
Towards A Generalist Code Embedding Model Based On Massive Data Synthesis Error
Datasets and Benchmarks Track
WearVQA: A Visual Question Answering Benchmark for Wearables in Egocentric Authentic Real-world scenarios Eun Chang, Zhuangqun Huang, Yiwei Liao, Sagar Bhavsar, Amogh Param, Tammy Stark, Adel Ahmadyan, Xiao Yang, Jiaqi Wang, Ahsan Abdullah, Giang Nguyen, Akil Iyer, David Hall, Elissa Li, Nicolas Scheffer, Ahmed Kirmani, Babak Damavandi, Rakesh Wanga, Anuj Kumar, Rohit Patel, Seungwhan Moon, Xin Luna Dong
Datasets and Benchmarks Track
Orientation Matters: Making 3D Generative Models Orientation-Aligned Yichong Lu, Yuzhuo Tian, Zijin Jiang, Yikun Zhao, Yuanbo Yang, Hao Ouyang, Haoji Hu, Huimin Yu, Yujun Shen, Yiyi Liao
Main Conference Track
Zero-shot World Models via Search in Memory Federico Malato, Ville Hautamäki
Main Conference Track
Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go Sascha Xu, Nils Philipp Walter, Jilles Vreeken
Main Conference Track
Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models Error
Datasets and Benchmarks Track
DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space Junchao Gong, Jingyi Xu, Ben Fei, Fenghua Ling, Wenlong Zhang, Kun Chen, Wanghan Xu, Weidong Yang, Xiaokang Yang, LEI BAI
Main Conference Track
Replicable Online Learning Saba Ahmadi, Siddharth Bhandari, Avrim Blum
Main Conference Track
Learning Robust Spectral Dynamics for Temporal Domain Generalization En Yu, Jie Lu, Xiaoyu Yang, Guangquan Zhang, Zhen Fang
Main Conference Track
$i$MIND: Insightful Multi-subject Invariant Neural Decoding Zixiang Yin, Jiarui Li, Zhengming Ding
Main Conference Track
Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers Youmin Ko, Sungjong Seo, Hyunjoon Kim
Main Conference Track
SeasonBench-EA: A Multi-Source Benchmark for Seasonal Prediction and Numerical Model Post-Processing in East Asia Mengxuan Chen, Li, Zou Ziheng, Fang Wang, Jinxiao Zhang, Runmin Dong, Juepeng Zheng, Haohuan Fu
Datasets and Benchmarks Track
Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation is Wasteful Martin Marek, Sanae Lotfi, Aditya Somasundaram, Andrew Gordon Wilson, Micah Goldblum
Main Conference Track
Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation Woojin Kim, Jaeyoung Do
Main Conference Track
Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services Gefei Tan, Ali Shahin Shamsabadi, Ellen Kolesnikova, Hamed Haddadi, Xiao Wang
Main Conference Track
Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes Itamar Harel, Yonathan Wolanowsky, Gal Vardi, Nati Srebro, Daniel Soudry
Main Conference Track
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Error
Datasets and Benchmarks Track
Uncertainty Quantification with the Empirical Neural Tangent Kernel Joseph Wilson, Chris van der Heide, Liam Hodgkinson, Fred Roosta
Main Conference Track
dKV-Cache: The Cache for Diffusion Language Models Xinyin Ma, Runpeng Yu, Gongfan Fang, Xinchao Wang
Main Conference Track
Rectified CFG++ for Flow Based Models Shreshth Saini, Shashank Gupta, Alan Bovik
Main Conference Track
FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning Da Wang, Yi Ma, Ting Guo, Hongyao Tang, Wei Wei, Jiye Liang
Main Conference Track
Causally Reliable Concept Bottleneck Models Giovanni De Felice, Arianna Casanova Flores, Francesco De Santis, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto Termine
Main Conference Track
ROSE: Remove Objects with Side Effects in Videos Chenxuan Miao, Yutong Feng, Jianshu Zeng, Zixiang Gao, Hantang Liu, Yunfeng Yan, Donglian Qi, Xi Chen, Bin Wang, Hengshuang Zhao
Main Conference Track
Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization Guanchen Li, Yixing Xu, Zeping Li, Ji Liu, Xuanwu Yin, Dong Li, Emad Barsoum
Main Conference Track
VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance Error
Datasets and Benchmarks Track
Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding Yixiong Fang, Ziran Yang, Zhaorun Chen, Zhuokai Zhao, Jiawei Zhou
Main Conference Track
Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes Jumin Han, Jun-Hui Kim, Seong-Whan Lee
Main Conference Track
Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe Chong You, Rajesh Jayaram, Ananda Theertha Suresh, Robin Nittka, Felix Yu, Sanjiv Kumar
Main Conference Track
Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption Longxiang He, Deheng Ye, Junbo Tan, Xueqian Wang, Li Shen
Main Conference Track
Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection Yuxi Liu, Min Liu, Shuai Jiang, Yi Tang, Yaonan Wang
Main Conference Track
PoLAR: Polar-Decomposed Low-Rank Adapter Representation Kai Lion, Liang Zhang, Bingcong Li, Niao He
Main Conference Track
DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction Yuxiang Li, Yang Zhang, Li, Mengxuan Chen, Meng Jin, Fang Wang, Haohuan Fu, Juepeng Zheng
Main Conference Track
ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination Xiaoyi Pang, Xuanyi Hao, Song Guo, Qi Luo, Zhibo Wang
Main Conference Track
Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations Faisal Hamman, Pasan Dissanayake, Yanjun Fu, Sanghamitra Dutta
Main Conference Track
The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability? Denis Sutter, Julian Minder, Thomas Hofmann, Tiago Pimentel
Main Conference Track
Neural Attention Search Difan Deng, Marius Lindauer
Main Conference Track
Reinforcement learning for one-shot DAG scheduling with comparability identification and dense reward Xumai Qi, Dongdong Zhang, Taotao Liu, Hongcheng Wang
Main Conference Track
AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement J Rosser, Jakob Foerster
Main Conference Track
Spatially-aware Weights Tokenization for NeRF-Language Models Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
Main Conference Track
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing XianJun Davin Choo, Yuqi Pan, Tonghan Wang, Milind Tambe, Alastair van Heerden, Cheryl Johnson
Main Conference Track
Single-pass Adaptive Image Tokenization for Minimum Program Search Shivam Duggal, Sanghyun Byun, Bill Freeman, Antonio Torralba, Phillip Isola
Main Conference Track
Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline Kanghao Chen, Zixin Zhang, Guoqiang Liang, Lutao Jiang, Zeyu Wang, Yingcong Chen
Main Conference Track
Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations Yu (Eric) Qian, Wilson Geisler, Xue-Xin Wei
Main Conference Track
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework Mustafa Hajij, Lennart Bastian, Sarah Osentoski, Hardik Kabaria, John Davenport, Dawood, Balaji Cherukuri, Joseph Kocheemoolayil, Nastaran Shahmansouri, Adrian Lew, Theodore Papamarkou, Tolga Birdal
Main Conference Track
Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction Nadhir Hassen, Zhen Zhang, Johan Verjans
Main Conference Track
The Price of Opportunity Fairness in Matroid Allocation Problems Rémi Castera, Felipe Garrido-Lucero, Patrick Loiseau, Simon Mauras, Mathieu Molina, Vianney Perchet
Main Conference Track
Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems Yi Zhang, Yushen Long, Yun Ni, Liping Huang, Xiaohong Wang, Jun Liu
Main Conference Track
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Vivek Myers, Bill Zheng, Anca Dragan, Kuan Fang, Sergey Levine
Main Conference Track
Agnostic Continuous-Time Online Learning Pramith Devulapalli, Changlong Wu, Ananth Grama, Wojciech Szpankowski
Main Conference Track
Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling Wentao Lu, Dong Nie, Pengcheng Xue, Zheng Cui, Piji Li, Daoqiang Zhang, Xuyun Wen
Main Conference Track
From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy Feng He, Guodong Tan, Qiankun Li, Jun Yu, Quan Wen
Main Conference Track
MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Wenjie Qiu, Sijie Ma, Hongqiao Lian, Jiajun Zhan, Kaixu Chen, Chen Wang, Zhiyang Huang, Zechuan Huang, Guojun Peng, Ran Cheng, Yining Ma
Datasets and Benchmarks Track
RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains Sepehr Mousavi, Shizheng Wen, Levi E. Lingsch, Maximilian Herde, Bogdan Raonic, Siddhartha Mishra
Main Conference Track
A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments Siyuan Wu, Yongzhe Jia, Haolong Xiang, Xiaolong Xu, Xuyun Zhang, Lianyong Qi, Wanchun Dou
Main Conference Track
MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition Error
Datasets and Benchmarks Track
One Token Embedding Is Enough to Deadlock Your Large Reasoning Model Mohan Zhang, Yihua Zhang, Jinghan Jia, Zhangyang "Atlas" Wang, Sijia Liu, Tianlong Chen
Main Conference Track
Stepsize anything: A unified learning rate schedule for budgeted-iteration training Anda Tang, Yiming Dong, Yutao Zeng, zhou Xun, Zhouchen Lin
Main Conference Track
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective Chenwang Wu, Yiu-ming Cheung, Bo Han, Defu Lian
Main Conference Track
Lie Detector: Unified Backdoor Detection via Cross-Examination Framework Xuan Wang, Siyuan Liang, Dongping Liao, Han Fang, Aishan Liu, Xiaochun Cao, Yu-liang Lu, Ee-Chien Chang, Xitong Gao
Main Conference Track
THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations Wenchao Yang, Weidong Yan, Wenkang Liu, Yulan Ma, Yang Li
Main Conference Track
SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving Haiming Zhang, Yiyao Zhu, Wending Zhou, Xu Yan, Yingjie CAI, Bingbing Liu, Shuguang Cui, Zhen Li
Main Conference Track
Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients Yuxing Lu, Gecheng Fu, Wei Wu, Xukai Zhao, Sin Yee Goi, Jinzhuo Wang
Main Conference Track
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents Han Xiao, Guozhi Wang, Yuxiang Chai, Zimu Lu, Weifeng Lin, Hao He, Lue Fan, Liuyang Bian, Rui Hu, Liang Liu, Shuai Ren, yafei wen, xiaoxin chen, Aojun Zhou, Hongsheng Li
Main Conference Track
Quantifying Elicitation of Latent Capabilities in Language Models Elizabeth Donoway, Hailey Joren, Arushi Somani, Henry Sleight, Julian Michael, Michael R. Deweese, John Schulman, Ethan Perez, Fabien Roger, Jan Leike
Main Conference Track
Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning Viet Anh Khoa Tran, Emre Neftci, Willem Wybo
Main Conference Track
Reward Reasoning Models Jiaxin Guo, Zewen Chi, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, Furu Wei
Main Conference Track
Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates Hang Chen, Jiaying Zhu, Xinyu Yang, Wenya Wang
Main Conference Track
OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models Boyang Peng, Sanqing Qu, Tianpei Zou, Fan Lu, Ya Wu, Kai Chen, Siheng Chen, Yong Wu, Guang Chen
Main Conference Track
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal, Swarnim Maheshwari, Vineeth N Balasubramanian
Main Conference Track
Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation Siyu Chen, Ting Han, Chengzheng Fu, Changshe Zhang, Chaolei Wang, Jinhe Su, Guorong Cai, Meiliu Wu
Main Conference Track
X-Field: A Physically Informed Representation for 3D X-ray Reconstruction Feiran Wang, Jiachen Tao, Junyi Wu, Haoxuan Wang, Bin Duan, Kai Wang, Zongxin Yang, Yan Yan
Main Conference Track
Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems Error
Position Paper Track
Data Fusion for Partial Identification of Causal Effects Quinn Lanners, Cynthia Rudin, Alexander Volfovsky, Harsh Parikh
Main Conference Track
Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Yichuan Cao, Yibo Miao, Xiao-Shan Gao, Yinpeng Dong
Main Conference Track
Masked Gated Linear Unit Yukito Tajima, Nakamasa Inoue, Yusuke Sekikawa, Ikuro Sato, Rio Yokota
Main Conference Track
VASA-3D: Lifelike Audio-Driven Gaussian Head Avatars from a Single Image Sicheng Xu, Guojun Chen, Jiaolong Yang, Yizhong Zhang, Yu Deng, Stephen Lin, Baining Guo
Main Conference Track
Automated Model Discovery via Multi-modal & Multi-step Pipeline Lee Jung-Mok, Nam Hyeon-Woo, Moon Ye-Bin, Junhyun Nam, Tae-Hyun Oh
Main Conference Track
NeurIPT: Foundation Model for Neural Interfaces Zitao Fang, Chenxuan Li, Hongting Zhou, Shuyang Yu, Guodong DU, Ashwaq Qasem, Yang Lu, Jing Li, Junsong Zhang, Sim Kuan Goh
Main Conference Track
Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs Hao Kang, Qingru Zhang, Han Cai, Weiyuan Xu, Tushar Krishna, Yilun Du, Tsachy Weissman
Main Conference Track
DPA: A one-stop metric to measure bias amplification in classification datasets Bhanu Tokas, Rahul Nair, Hannah Kerner
Main Conference Track
Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions Longfei Li, Zhiwen Fan, Wenyan Cong, Xinhang Liu, Yuyang Yin, Matt Foutter, Panwang Pan, Chenyu You, Yue Wang, Zhangyang "Atlas" Wang, Yao Zhao, Marco Pavone, Yunchao Wei
Datasets and Benchmarks Track
Rescaled Influence Functions: Accurate Data Attribution in High Dimension Ittai Rubinstein, Samuel Hopkins
Main Conference Track
Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance Jack Goffinet, Youngjo Min, Carlo Tomasi, David E Carlson
Main Conference Track
Grounded Reinforcement Learning for Visual Reasoning Gabriel Sarch, Snigdha Saha, Naitik Khandelwal, Ayush Jain, Michael J. Tarr, Aviral Kumar, Katerina Fragkiadaki
Main Conference Track
Feature-aware Modulation for Learning from Temporal Tabular Data Haorun Cai, Han-Jia Ye
Main Conference Track
On Evaluating LLM Alignment by Evaluating LLMs as Judges Yixin Liu, Pengfei Liu, Arman Cohan
Main Conference Track
Reasoning Models Hallucinate More: Factuality-Aware Reinforcement Learning for Large Reasoning Models Junyi Li, Hwee Tou Ng
Main Conference Track
Unified Scaling Laws for Compressed Representations Andrei Panferov, Alexandra Volkova, Ionut-Vlad Modoranu, Vage Egiazarian, Mher Safaryan, Dan Alistarh
Main Conference Track
GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents Error
Datasets and Benchmarks Track
Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options Joongkyu Lee, Seouh-won Yi, Min-hwan Oh
Main Conference Track
Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models Konstantinos Dafnis, Dimitris Metaxas
Main Conference Track
A2Seek: Towards Reasoning-Centric Benchmark for Aerial Anomaly Understanding Error
Datasets and Benchmarks Track
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs Kai Wang, Siqiang Luo, Caihua Shan, Yifei Shen
Main Conference Track
A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation Etienne Boursier, Scott Pesme, Radu-Alexandru Dragomir
Main Conference Track
Thinkless: LLM Learns When to Think Gongfan Fang, Xinyin Ma, Xinchao Wang
Main Conference Track
Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation Wei Wang, Haifeng Xia, Chao Huang, Zhengming Ding, Cong Wang, Haojie Li, Xiaochun Cao
Main Conference Track
Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains Qiankun Li, Feng He, Huabao Chen, Xin Ning, Kun Wang, Zengfu Wang
Main Conference Track
The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination Adam Klivans, Konstantinos Stavropoulos, Kevin Tian, Arsen Vasilyan
Main Conference Track
Learning to Solve Complex Problems via Dataset Decomposition Wanru Zhao, Lucas Page-Caccia, Zhengyan Shi, Minseon Kim, Weijia Xu, Alessandro Sordoni
Main Conference Track
A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models Yassine ABBAHADDOU, Amine Aboussalah
Main Conference Track
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding Yiyang Zhou, Yangfan He, Yaofeng Su, Siwei Han, Joel Jang, Gedas Bertasius, Mohit Bansal, Huaxiu Yao
Main Conference Track
Accelerating RL for LLM Reasoning with Optimal Advantage Regression Kianté Brantley, Mingyu Chen, Zhaolin Gao, Jason D. Lee, Wen Sun, Wenhao Zhan, Xuezhou Zhang
Main Conference Track
Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization Chris Kolb, Laetitia Frost, Bernd Bischl, David Rügamer
Main Conference Track
Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling Yufan Li, Pragya Sur
Main Conference Track
Regional Explanations: Bridging Local and Global Variable Importance Salim I. Amoukou, Nicolas Brunel
Main Conference Track
Stochastically Dominant Peer Prediction Yichi Zhang, Shengwei Xu, Grant Schoenebeck, David M. Pennock
Main Conference Track
Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback Jing Dong, Baoxiang Wang, Yaoliang Yu
Main Conference Track
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation Yunhong Min, Daehyeon Choi, Kyeongmin Yeo, Jihyun Lee, Minhyuk Sung
Main Conference Track
Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos hanxue liang, Jiawei Ren, Ashkan Mirzaei, Antonio Torralba, Ziwei Liu, Igor Gilitschenski, Sanja Fidler, Cengiz Oztireli, Huan Ling, Zan Gojcic, Jiahui Huang
Main Conference Track
With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You Fabian Gröger, Shuo Wen, Huyen Le, Maria Brbic
Main Conference Track
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces Alejandro García-Castellanos, David R. Wessels, Nicky J. van den Berg, Remco Duits, Daniel M. Pelt, Erik Bekkers
Main Conference Track
zip2zip: Inference-Time Adaptive Tokenization via Online Compression Saibo Geng, Nathan Ranchin, Yunzhen Yao, Maxime Peyrard, Chris Wendler, Michael Gastpar, Robert West
Main Conference Track
Differential Privacy on Fully Dynamic Streams Yuan Qiu, Ke Yi
Main Conference Track
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning Yang Xu, Washim Mondal, Vaneet Aggarwal
Main Conference Track
Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization Yamato Arai, Yuma Ichikawa
Main Conference Track
Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization Colin Doumont, Victor Picheny, Viacheslav (Slava) Borovitskiy, Henry Moss
Main Conference Track
Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models Xiwen Wei, Mustafa Munir, Radu Marculescu
Main Conference Track
Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework Ali Zafari, Xi Chen, Shirin Jalali
Main Conference Track
Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models Anuja Negi, SUBBAREDDY OOTA, Anwar Nunez-Elizalde, Manish Gupta, Fatma Deniz
Main Conference Track
Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis Zeqin Yu, Haotao Xie, Jian Jun Zhang, Jiangqun Ni, Wenkang Su, Jiwu Huang
Datasets and Benchmarks Track
Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies Efthymia Tsamoura, Kaifu Wang, Dan Roth
Main Conference Track
Mechanistic Interpretability of RNNs emulating Hidden Markov Models Elia Torre, Michele Viscione, Lucas Pompe, Benjamin F. Grewe, Valerio Mante
Main Conference Track
Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling Shuhong Zheng, Ashkan Mirzaei, Igor Gilitschenski
Main Conference Track
HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Zemin Kuang, Meina Song, Yifan Zhu, Anh Tuan Luu
Main Conference Track
Optimal Mistake Bounds for Transductive Online Learning Zachary Chase, Steve Hanneke, Shay Moran, Jonathan Shafer
Main Conference Track
Two Heads are Better than One: Simulating Large Transformers with Small Ones Hantao Yu, Josh Alman
Main Conference Track
Hadamax Encoding: Elevating Performance in Model-Free Atari Jacob Eeuwe Kooi, Zhao Yang, Vincent Francois-Lavet
Main Conference Track
Low Rank Gradients and Where to Find Them Rishi Sonthalia, Michael Murray, Guido F. Montufar
Main Conference Track
GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI Error
Datasets and Benchmarks Track
UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation Rui Tian, Mingfei Gao, Mingze Xu, Jiaming Hu, Jiasen Lu, Zuxuan Wu, Yinfei Yang, Afshin Dehghan
Main Conference Track
Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems Christian Walder, Deep Tejas Karkhanis
Main Conference Track
From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards Liad Erez, Tomer Koren
Main Conference Track
MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks Dengfeng Xue, Wenjuan Li, Yifan Lu, chunfeng yuan, Yufan Liu, Wei Liu, Man Yao, Li Yang, Guoqi Li, Bing Li, Stephen Maybank, Weiming Hu, Zhetao Li
Main Conference Track
Faster Video Diffusion with Trainable Sparse Attention Peiyuan Zhang, Yongqi Chen, Haofeng Huang, Will Lin, Zhengzhong Liu, Ion Stoica, Eric P Xing, Hao Helen Zhang
Main Conference Track
Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation Weining Ren, Hongjun Wang, Xiao Tan, Kai Han
Main Conference Track
Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection Yachao Liang, Min Yu, Gang Li, Jianguo Jiang, Fuqiang Du, Jingyuan Li, Lanchi Xie, Zhen Xu, Weiqing Huang
Main Conference Track
Improved Algorithms for Fair Matroid Submodular Maximization Sepideh Mahabadi, Sherry Sarkar, Jakub M Tarnawski
Main Conference Track
Object Concepts Emerge from Motion Haoqian Liang, Xiaohui Wang, Zhichao Li, Ya Yang, Naiyan Wang
Main Conference Track
In-Context Learning of Stochastic Differential Equations with Foundation Inference Models Patrick Seifner, Kostadin Cvejoski, David Berghaus, César Ali Ojeda Marin, Ramsés J. Sánchez
Main Conference Track
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models Zemin Huang, Zhiyang Chen, Zijun Wang, Tiancheng Li, Guo-Jun Qi
Main Conference Track
Quantifying Generalisation in Imitation Learning Error
Datasets and Benchmarks Track
metaTextGrad: Automatically optimizing language model optimizers Guowei Xu, Mert Yuksekgonul, Carlos Guestrin, James Y Zou
Main Conference Track
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning Xiaoxue Cheng, Junyi Li, Zhenduo Zhang, Xinyu Tang, Xin Zhao, Xinyu Kong, Zhiqiang Zhang
Main Conference Track
Learning Linear Attention in Polynomial Time Morris Yau, Ekin Akyürek, Jiayuan Mao, Josh Tenenbaum, Stefanie Jegelka, Jacob Andreas
Main Conference Track
Faster Algorithms for Structured John Ellipsoid Computation Yang Cao, Xiaoyu Li, Zhao Song, Xin Yang, Tianyi Zhou
Main Conference Track
Inference-time Alignment in Continuous Space Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng
Main Conference Track
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods Oussama Zekri, Nicolas Boulle
Main Conference Track
VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers Qinkai XU, yijin liu, YangChen, Lin F. Yang, Li Erran Li, Yuxiang Fu
Main Conference Track
Offline Actor-Critic for Average Reward MDPs William Powell, Jeongyeol Kwon, Qiaomin Xie, Hanbaek Lyu
Main Conference Track
Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models Shenglong Zhou, Manjiang Yin, Leiyu Sun, Shicai Yang, Di Xie, Jiang Zhu
Main Conference Track
SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries KAI QI, Fan Wang, Zhewen Dong, Jian Sun
Main Conference Track
SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding Yangxuan Zhou, Sha Zhao, Jiquan Wang, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan
Main Conference Track
FLOWING: Implicit Neural Flows for Structure-Preserving Morphing Arthur Bizzi, Matias Grynberg Portnoy, Vitor Pereira Matias, Daniel Perazzo, João Paulo Silva do Monte Lima, Luiz Velho, Nuno Gonçalves, João Pereira, Guilherme Schardong, Tiago Novello
Main Conference Track
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch Xu Cai, Yang Wu, Qianli Chen, Haoran Wu, Lichuan Xiang, Hongkai Wen
Main Conference Track
PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models Ruiqi Wang, Dezhong Zhao, Ziqin Yuan, Tianyu Shao, Guohua Chen, Dominic Kao, Sungeun Hong, Byung-Cheol Min
Main Conference Track
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection Zhihao Sun, Haoran Jiang, Haoran Chen, Yixin Cao, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang
Main Conference Track
Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations Li Hao, He CAO, Bin Feng, Daniel Shao, Robert Tang, Zhiyuan Yan, Yonghong Tian, Li Yuan, Yu Li
Datasets and Benchmarks Track
EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation Chao Song, ZHIYUAN LIU, Han Huang, Liang Wang, Qiong Wang, Jian-Yu Shi, Hui Yu, Yihang Zhou, Yang Zhang
Main Conference Track
SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing Sung-Hoon Yoon, Minghan Li, Gaspard Beaudouin, Congcong Wen, Muhammad Rafay Azhar, Mengyu Wang
Main Conference Track
Multimodal Negative Learning Baoquan Gong, Xiyuan Gao, Pengfei Zhu, Qinghua Hu, Bing Cao
Main Conference Track
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Zhiyuan Liang, Dongwen Tang, Yuhao Zhou, Xuanlei Zhao, Mingjia Shi, Wangbo Zhao, Zekai Li, Peihao Wang, Konstantin Schürholt, Damian Borth, Michael Bronstein, Yang You, Zhangyang "Atlas" Wang, Kai Wang
Main Conference Track
Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features Kaichen Xu, Yihang Du, Mianpeng Liu, Zimu Yu, Xiaobo Sun
Main Conference Track
SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning Borong Zhang, Yuhao Zhang, Jiaming Ji, Yingshan Lei, Juntao Dai, Yuanpei Chen, Yaodong Yang
Main Conference Track
Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard, Ligong Han, Faez Ahmed
Main Conference Track
Weak-to-Strong Generalization under Distribution Shifts Myeongho Jeon, Jan Sobotka, Suhwan Choi, Maria Brbic
Main Conference Track
Conditional Diffusion Anomaly Modeling on Graphs Chunyu Wei, Haozhe Lin, Yueguo Chen, Yunhai Wang
Main Conference Track
AutoPartGen: Autoregressive 3D Part Generation and Discovery Minghao Chen, Jianyuan Wang, Roman Shapovalov, Tom Monnier, Hyunyoung Jung, Dilin Wang, Rakesh Ranjan, Iro Laina, Andrea Vedaldi
Main Conference Track
Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation Zihan Wang, Seungjun Lee, Gim Hee Lee
Main Conference Track
ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests Error
Datasets and Benchmarks Track
Small Singular Values Matter: A Random Matrix Analysis of Transformer Models Max Staats, Matthias Thamm, Bernd Rosenow
Main Conference Track
InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model Junqi You, Chieh Lin, Weijie Lyu, Zhengbo Zhang, Ming-Hsuan Yang
Main Conference Track
HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs Ningning Chen, Weicai Ye, Ying Jiang
Main Conference Track
Effects of Dropout on Performance in Long-range Graph Learning Tasks Jasraj Singh, Keyue Jiang, Brooks Paige, Laura Toni
Main Conference Track
SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Chaofan Tao, Yangfan He, Mi Zhang, Shen Yan
Main Conference Track
LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models Yihao LIU, Xinqi Lyu, Dong Wang, Yanjie Li, Bin Xiao
Main Conference Track
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products Julien Siems, Timur Carstensen, Arber Zela, Frank Hutter, Massimiliano Pontil, Riccardo Grazzi
Main Conference Track
DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models Cathy Jiao, Yijun Pan, Emily Xiao, Daisy Sheng, Niket Jain, Hanzhang Zhao, Ishita Dasgupta, Jiaqi Ma, Chenyan Xiong
Datasets and Benchmarks Track
Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper Xinyue Zhu, Binghao Huang, Yunzhu Li
Main Conference Track
Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks Hang Yu, Lyumin Wu, Wenxin Zhou, Zhao Ren
Main Conference Track
Curious Causality-Seeking Agents in Open-ended Worlds Zhiyu Zhao, Haoxuan Li, Haifeng Zhang, Jun Wang, Francesco Faccio, Jürgen Schmidhuber, Mengyue Yang
Main Conference Track
SING: SDE Inference via Natural Gradients Amber Hu, Henry Smith, Scott Linderman
Main Conference Track
Shallow Diffuse: Robust and Invisible Watermarking through Low-Dim Subspaces in Diffusion Models Wenda Li, Huijie Zhang, Qing Qu
Main Conference Track
Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets Marianna Nezhurina, Tomer Porian, Giovanni Puccetti, Tommie Kerssies, Romain Beaumont, Mehdi Cherti, Jenia Jitsev
Main Conference Track
DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models Longquan Dai, Wu Ming, Dejiao Xue, wang he, Jinhui Tang
Main Conference Track
Multi-Agent Reinforcement Learning with Communication-Constrained Priors Guang Yang, Tianpei Yang, Jingwen Qiao, Yanqing Wu, Jing Huo, Xingguo Chen, Yang Gao
Main Conference Track
FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning Error
Datasets and Benchmarks Track
AneuG-Flow: A Large-Scale Synthetic Dataset of Diverse Intracranial Aneurysm Geometries and Hemodynamics Error
Datasets and Benchmarks Track
Concept Incongruence: An Exploration of Time and Death in Role Playing Xiaoyan Bai, Ike Peng, Aditya Singh, Chenhao Tan
Main Conference Track
SPARTAN: A Sparse Transformer World Model Attending to What Matters Anson Lei, Bernhard Schölkopf, Ingmar Posner
Main Conference Track
GradMetaNet: An Equivariant Architecture for Learning on Gradients Yoav Gelberg, Yam Eitan, Aviv Navon, Aviv Shamsian, Theo (Moe) Putterman, Michael Bronstein, Haggai Maron
Main Conference Track
AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems Yu Shang, Peijie Liu, Yuwei Yan, Zijing Wu, Leheng Sheng, Yuanqing Yu, Chumeng Jiang, An Zhang, Fengli Xu, Yu Wang, Min Zhang, Yong Li
Datasets and Benchmarks Track
Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks Yizhou Jiang, Feng Chen, Yihan Li, Yuqian Liu, Haichuan Gao, Tianren Zhang, Ying Fang
Main Conference Track
A CLT for Polynomial GNNs on Community-Based Graphs Luciano Vinas, Arash Amini
Main Conference Track
DualCnst: Enhancing Zero-Shot Out-of-Distribution Detection via Text-Image Consistency in Vision-Language Models Fayi Le, Wenwu He, Chentao Cao, Dong Liang, Zhuo-Xu Cui
Main Conference Track
QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation Yaoyu Zhu, Di Huang, Hanqi Lyu, Xiaoyun Zhang, Chongxiao Li, Wenxuan Shi, Yutong Wu, Jianan Mu, Jinghua Wang, Yang zhao, Pengwei Jin, Shuyao Cheng, shengwen Liang, xishan zhang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen
Main Conference Track
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses Antoine Moulin, Emmanuel Esposito, Dirk van der Hoeven
Main Conference Track
DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images Ozgur Kara, Harris Nisar, James M. Rehg
Main Conference Track
Neural B-frame Video Compression with Bi-directional Reference Harmonization Yuxi Liu, jin dengchao, Shuai Huo, Jiawen Gu, Chao Zhou, Huihui Bai, Ming Lu, Zhan Ma
Main Conference Track
The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization Yihua Zhang, Changsheng Wang, Yiwei Chen, Chongyu Fan, Jinghan Jia, Sijia Liu
Main Conference Track
Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling Daksh Mittal, Leon Li, Thomson Yen, C. Guetta, Hongseok Namkoong
Main Conference Track
Learning World Models for Interactive Video Generation Taiye Chen, Xun Hu, Zihan Ding, Chi Jin
Main Conference Track
A Simple Linear Patch Revives Layer-Pruned Large Language Models Xinrui Chen, Haoli Bai, Tao Yuan, ruikang liu, Kang Zhao, Xianzhi Yu, Lu Hou, Tian Guan, Yonghong He, Chun Yuan
Main Conference Track
ConViS-Bench: Estimating Video Similarity Through Semantic Concepts Benedetta Liberatori, Alessandro Conti, Lorenzo Vaquero, Yiming Wang, Elisa Ricci, Paolo Rota
Datasets and Benchmarks Track
On Learning Verifiers and Implications to Chain-of-Thought Reasoning Maria-Florina Balcan, Avrim Blum, Zhiyuan Li, Dravyansh Sharma
Main Conference Track
scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration Jianle Sun, Chaoqi Liang, Ran Wei, Peng Zheng, LEI BAI, Wanli Ouyang, Hongliang Yan, Peng Ye
Main Conference Track
Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference Weizhi Fei, Xueyan Niu, XIE GUOQING, Yingqing Liu, Bo Bai, Wei Han
Main Conference Track
SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering Ruimeng Liu, Xin Zou, Chang Tang, Xiao Zheng, Xingchen Hu, Kun Sun, Xinwang Liu
Main Conference Track
CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up Songhua Liu, Zhenxiong Tan, Xinchao Wang
Main Conference Track
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks Alireza Aghasi, Nicholas F. Marshall, Saeid Pourmand, Wyatt Whiting
Main Conference Track
Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation Chaohao Yuan, Maoji Wen, Ercan KURUOGLU, Yang Liu, Jia Li, Tingyang Xu, Deli Zhao, Hong Cheng, Yu Rong
Main Conference Track
Group-Level Data Selection for Efficient Pretraining Zichun Yu, Fei Peng, Jie Lei, Arnold Overwijk, Scott Yih, Chenyan Xiong
Main Conference Track
Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery Qinglong Hu, Qingfu Zhang
Main Conference Track
FairDD: Fair Dataset Distillation Qihang Zhou, ShenHao Fang, Shibo He, Wenchao Meng, Jiming Chen
Main Conference Track
DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models Lingshun Kong, Jiawei Zhang, Dongqing Zou, Fu Lee Wang, Jimmy S. REN, Xiaohe Wu, Jiangxin Dong, Jinshan Pan
Main Conference Track
From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D Jiahui Zhang, Yurui Chen, Yueming Xu, Ze Huang, Jilin Mei, Chunhui Chen, Yanpeng Zhou, Yu-Jie Yuan, Xinyue Cai, Guowei Huang, Xingyue Quan, Hang Xu, Li Zhang
Datasets and Benchmarks Track
THUNDER: Tile-level Histopathology image UNDERstanding benchmark Error
Datasets and Benchmarks Track
Removing Concepts from Text-to-Image Models with Only Negative Samples Hanwen Liu, Yadong Mu
Main Conference Track
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget Adam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang, Christopher Brinton
Main Conference Track
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning Vahid Balazadeh Meresht, Hamidreza Kamkari, Valentin Thomas, Junwei Ma, Bingru Li, Jesse C. Cresswell, Rahul G Krishnan
Main Conference Track
MARS: A Malignity-Aware Backdoor Defense in Federated Learning Wei Wan, Ning Yuxuan, Zhicong Huang, Cheng Hong, Shengshan Hu, Ziqi Zhou, Yechao Zhang, Tianqing Zhu, Wanlei Zhou, Leo Yu Zhang
Main Conference Track
Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies Vipul Sharma, Wesley Suttle, S Sivaranjani
Main Conference Track
Deep Compositional Phase Diffusion for Long Motion Sequence Generation Ho Yin Au, Jie Chen, Junkun Jiang, Jingyu Xiang
Main Conference Track
Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image Junkun Chen, Aayush Bansal, Minh Vo, Yu-Xiong Wang
Main Conference Track
Behavior Injection: Preparing Language Models for Reinforcement Learning Zhepeng Cen, Yihang Yao, William Han, Zuxin Liu, DING ZHAO
Main Conference Track
3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction Maria Taktasheva, Lily Goli, Alessandro Fiorini, Zhen Li, Daniel Rebain, Andrea Tagliasacchi
Main Conference Track
Tree of Preferences for Diversified Recommendation Hanyang Yuan, Ning Tang, Tongya Zheng, Jiarong Xu, Xintong Hu, Renhong Huang, Shunyu Liu, Jiacong Hu, Jiawei Chen, Mingli Song
Main Conference Track
Are Greedy Task Orderings Better Than Random in Continual Linear Regression? Matan Tsipory, Ran Levinstein, Itay Evron, Mark Kong, Deanna Needell, Daniel Soudry
Main Conference Track
Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S Yu, Ming Zhang
Main Conference Track
From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures Jens U. Brandt, Noah Christoph Pütz, Marcus Greiff, Thomas Lew, John Subosits, Marc Hilbert, Thomas Bartz-Beielstein
Main Conference Track
Optimize the Unseen - Fast NeRF Cleanup with Free Space Prior Leo Segre, Shai Avidan
Main Conference Track
New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results Francesco Orabona, Ryan D'Orazio
Main Conference Track
Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains Shizheng Wen, Arsh Kumbhat, Levi E. Lingsch, Sepehr Mousavi, Yizhou Zhao, Praveen Chandrashekar, Siddhartha Mishra
Main Conference Track
3EED: Ground Everything Everywhere in 3D Rong Li, Yuhao Dong, Tianshuai Hu, Alan Liang, Youquan Liu, Dongyue Lu, Liang Pan, Lingdong Kong, Junwei Liang, Ziwei Liu
Datasets and Benchmarks Track
Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation Changguang WU, Jiangxin Dong, Chengjian Li, Jinhui Tang
Main Conference Track
Sequential Attention-based Sampling for Histopathological Analysis Tarun Gogisetty, Naman Malpani, Gugan Chandrashekhar Mallika Thoppe, Sridharan Devarajan
Main Conference Track
Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning Na Li, Zewu Zheng, Wei Ni, Hangguan Shan, Wenjie Zhang, Xinyu Li
Main Conference Track
Cost-Aware Contrastive Routing for LLMs Reza Shirkavand, Shangqian Gao, Peiran Yu, Heng Huang
Main Conference Track
Calibrating Translation Decoding with Quality Estimation on LLMs Di Wu, Yibin Lei, Christof Monz
Main Conference Track
Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging Hongjin Qian, Zheng Liu
Main Conference Track
Effective Neural Approximations for Geometric Optimization Problems Samantha Chen, Oren Ciolli, Anastasios Sidiropoulos, Yusu Wang
Main Conference Track
Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization Shaohan Li, Yunpeng Shi, Gilad Lerman
Main Conference Track
Federated Multi-armed Bandits with Efficient Bit-Level Communications Haoran Zhang, Yang Xu, Xuchuang Wang, Hao-Xu Chen, Hao Qiu, Lin F. Yang, Yang Gao
Main Conference Track
Learning-Augmented Streaming Algorithms for Correlation Clustering Yinhao Dong, Shan Jiang, Shi Li, Pan Peng
Main Conference Track
Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques
Main Conference Track
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting Wei Chen, Yuxuan Liang
Main Conference Track
Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning Yaorui Shi, Sihang Li, Chang Wu, ZHIYUAN LIU, Junfeng Fang, Hengxing Cai, An Zhang, Xiang Wang
Main Conference Track
Towards foundational LiDAR world models with efficient latent flow matching Tianran Liu, Shengwen Zhao, Nicholas Rhinehart
Main Conference Track
FIPER: Factorized Features for Robust Image Super-Resolution and Compression Yang-Che Sun, Cheng-Yu Yeo, Ernie Chu, Jun-Cheng Chen, Yu-Lun Liu
Main Conference Track
Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning Jian Liu, Jing Xu, Song Guo, Jing Li, jingfeng Guo, Jiaao Yu, Haohan Weng, Biwen Lei, Xianghui Yang, Zhuo Chen, Fangqi Zhu, Tao Han, Chunchao Guo
Main Conference Track
How Memory in Optimization Algorithms Implicitly Modifies the Loss Matias Cattaneo, Boris Shigida
Main Conference Track
OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Yiren Song, Cheng Liu, Mike Zheng Shou
Main Conference Track
Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models Li Sun, Zhenhao Huang, Ming Zhang, Philip S Yu
Main Conference Track
Diffusion-Guided Graph Data Augmentation Maria Marrium, Arif Mahmood, Muhammad Haris Khan, M. Shakeel, Wenxiong Kang
Main Conference Track
IPSI: Enhancing Structural Inference with Automatically Learned Structural Priors Zhongben Gong, Xiaoqun Wu, Mingyang Zhou
Main Conference Track
HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning Zhi Jing, Siyuan Yang, Jicong Ao, Ting Xiao, Yu-Gang Jiang, Chenjia Bai
Main Conference Track
Anchor-based Maximum Discrepancy for Relative Similarity Testing Zhijian Zhou, Liuhua Peng, Xunye Tian, Feng Liu
Main Conference Track
Online Strategic Classification With Noise and Partial Feedback Tianrun Zhao, Xiaojie Mao, Yong Liang
Main Conference Track
Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks Yixuan Even Xu, Antoine Bosselut, Imanol Schlag
Main Conference Track
TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks Itzik Waizman, Yakov Gusakov, Itay Benou, Tammy Riklin Raviv
Main Conference Track
MTRec: Learning to Align with User Preferences via Mental Reward Models Mengchen Zhao, Yifan Gao, Yaqing Hou, Xiangyang Li, Pengjie Gu, Zhenhua Dong, Ruiming Tang, Yi Cai
Main Conference Track
ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering Error
Datasets and Benchmarks Track
Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods Isha Puri, Shivchander Sudalairaj, Guangxuan Xu, Abhishek Bhandwaldar, Kai Xu, Akash Srivastava
Main Conference Track
FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition Error
Datasets and Benchmarks Track
Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability Eline M. Bovy, Caleb Probine, Marnix Suilen, Ufuk Topcu, Nils Jansen
Main Conference Track
Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction Qianxun Xu, Zuchuan Li
Main Conference Track
Unified Reinforcement and Imitation Learning for Vision-Language Models Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Frank Wang, Yueh-Hua Wu
Main Conference Track
Agnostic Active Learning Is Always Better Than Passive Learning Steve Hanneke
Main Conference Track
High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning Qinyu Xu, Yuanyang Zhu, Xuefei Wu, Chunlin Chen
Main Conference Track
3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image Xiao Cao, Beibei Lin, Bo Wang, Zhiyong Huang, Robby Tan
Main Conference Track
BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization Qiwei Wang, Shaoxun Wu, Yujiao Shi
Main Conference Track
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking Zihan Su, Xuerui Qiu, Hongbin Xu Xu, Tangyu Jiang, Jun-hao Zhuang, Chun Yuan, Ming Li, Shengfeng He, Fei Richard Yu
Main Conference Track
Non-Markovian Discrete Diffusion with Causal Language Models Yangtian Zhang, Sizhuang He, Daniel S Levine, Lawrence Zhao, David Zhang, Syed Rizvi, Shiyang Zhang, Emanuele Zappala, Rex Ying, David van Dijk
Main Conference Track
Are Large Language Models Sensitive to the Motives Behind Communication? Addison J. Wu, Ryan Liu, Kerem Oktar, Ted Sumers, Tom Griffiths
Main Conference Track
Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies Jiarui Gan, R Majumdar, Debmalya Mandal, Goran Radanovic
Main Conference Track
Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack Yukun Chen, Boheng Li, Yu Yuan, Leyi Qi, Yiming Li, Tianwei Zhang, Zhan Qin, Kui Ren
Main Conference Track
Less Is More, but Where? Dynamic Token Compression via LLM-Guided Keyframe Prior Yulin Li, Haokun GUI, Ziyang Fan, Junjie Wang, Bin Kang, BIN CHEN, Zhuotao Tian
Main Conference Track
KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models Yongliang Wu, Zonghui Li, Xinting Hu, Xinyu Ye, Xianfang Zeng, Gang Yu, Wenbo Zhu, Bernt Schiele, Ming-Hsuan Yang, Xu Yang
Datasets and Benchmarks Track
A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input Bar Mahpud, Or Sheffet
Main Conference Track
Flow Equivariant Recurrent Neural Networks Andy Keller
Main Conference Track
The Indra Representation Hypothesis for Multimodal Alignment Jianglin Lu, Hailing Wang, Kuo Yang, Yitian Zhang, Simon Jenni, Yun Fu
Main Conference Track
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling Yang Xiao, Jiashuo WANG, Ruifeng Yuan, Chunpu Xu, Kaishuai Xu, Wenjie Li, Pengfei Liu
Main Conference Track
Solving Partial Differential Equations via Radon Neural Operator Wenbin Lu, Yihan Chen, Junnan Xu, Wei Li, Junwei Zhu, Jianwei Zheng
Main Conference Track
Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality Kyeongwon Lee, Lizhen Lin, Jaewoo Park, Seonghyun Jeong
Main Conference Track
Aligning Text to Image in Diffusion Models is Easier Than You Think Jaa-Yeon Lee, ByungHee Cha, Jeongsol Kim, Jong Chul Ye
Main Conference Track
BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics Zhongju Yuan, Geraint Wiggins, Dick Botteldooren
Main Conference Track
Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations Xin Liu, Haoran Li, Dongbin Zhao
Main Conference Track
Explainably Safe Reinforcement Learning Sabine Rieder, Stefan Pranger, Debraj Chakraborty, Jan Kretinsky, Bettina Könighofer
Main Conference Track
Sharp Gaussian approximations for Decentralized Federated Learning SOHAM BONNERJEE, Sayar Karmakar, Wei Biao Wu
Main Conference Track
Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning Ke Sun, Yingnan Zhao, Enze Shi, Yafei Wang, Xiaodong Yan, Bei Jiang, Linglong Kong
Main Conference Track
FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents Error
Datasets and Benchmarks Track
Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI Luca Andolfi, Eleonora Giunchiglia
Main Conference Track
Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data Zi Liang, Qingqing Ye, Xuan Liu, Yanyun Wang, Jianliang Xu, Haibo Hu
Main Conference Track
SRHand: Super-Resolving Hand Images and 3D Shapes via View/Pose-aware Neural Image Representations and Explicit Meshes Minje Kim, Tae-Kyun Kim
Main Conference Track
LithoSim: A Large, Holistic Lithography Simulation Benchmark for AI-Driven Semiconductor Manufacturing Hongquan He, Zhen Wang, Jingya Wang, Tao Wu, Xuming He, Bei Yu, Jingyi Yu, Hao GENG
Datasets and Benchmarks Track
DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform Peizhi Niu, Yu-Hsiang Wang, Vishal Rana, Chetan Rupakheti, Abhishek Pandey, Olgica Milenkovic
Main Conference Track
Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning Dongkwan Lee, JunHoo Lee, Nojun Kwak
Main Conference Track
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling Touqeer Ahmad, Mohammadreza Mousavi Kalan, François Portier, Gilles Stupfler
Main Conference Track
A Semantic Parsing Framework for End-to-End Time Normalization Xin Su, Sungduk Yu, Phillip Howard, Steven Bethard
Main Conference Track
Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need Kecheng Chen, Pingping Zhang, Hui Liu, Jie Liu, Yibing Liu, Jiaxin Huang, Shiqi Wang, Hong Yan, Haoliang Li
Main Conference Track
Product Distribution Learning with Imperfect Advice Arnab Bhattacharyya, XianJun Davin Choo, Philips George John, Themis Gouleakis
Main Conference Track
LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization Zhenpeng Huang, Jiaqi Li, zihan jia, Xinhao Li, Desen Meng, Lingxue Song, Xi Chen, Liang Li, Limin Wang
Main Conference Track
Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation Kai Zheng, Jianxin Wang, Jinhui Xu
Main Conference Track
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach
Main Conference Track
Training a Scientific Reasoning Model for Chemistry Siddharth Narayanan, James Braza, Ryan-Rhys Griffiths, Albert Bou, Geemi Wellawatte, Mayk Caldas Ramos, Ludovico Mitchener, Michael Pieler, Sam Rodriques, Andrew White
Main Conference Track
Learning Robust Vision-Language Models from Natural Latent Spaces Zhangyun Wang, Ni Ding, Aniket Mahanti
Main Conference Track
Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind Qingmei Li, Yang Zhang, Zurong Mai, Yuhang Chen, Loushuohong, Henglian Huang, Jiarui Zhang, Zhiwei Zhang, Yibin Wen, Weijia Li, Haohuan Fu, Huang Jianxi, Juepeng Zheng
Datasets and Benchmarks Track
Purest Quantum State Identification Yingqi Yu, Honglin Chen, Jun Wu, Wei Xie, Xiangyang Li
Main Conference Track
Geometry-Aware Edge Pooling for Graph Neural Networks Katharina Limbeck, Lydia Mezrag, Guy Wolf, Bastian Rieck
Main Conference Track
One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs Pengbo Wang, Chaozhuo Li, Chenxu Wang, Liwen Zheng, Litian Zhang, Xi Zhang
Main Conference Track
Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Zhiyi Lyu, Jianguo Huang, Yanchen Deng, Steven C. Hoi, Bo An
Main Conference Track
Real-DRL: Teach and Learn at Runtime Yanbing Mao, Yihao Cai, Lui Sha
Main Conference Track
Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS Tao Wang, Mengyu Li, Geduo Zeng, Cheng Meng, Qiong Zhang
Main Conference Track
Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shift with Unlabeled Data Alvaro Correia, Christos Louizos
Main Conference Track
Low Precision Streaming PCA Sanjoy Dasgupta, Syamantak Kumar, Shourya Pandey, Purnamrita Sarkar
Main Conference Track
Synergistic Tensor and Pipeline Parallelism Mengshi Qi, Jiaxuan Peng, Jie M. Zhang, Juan Zhu, Yong Li, Huadong Ma
Main Conference Track
GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining Simin Fan, Maria Ios Glarou, Martin Jaggi
Main Conference Track
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels Zhiqiang Kou, Yucheng Xie, Hailin Wang, Junyang Chen, Jingq Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Xin Geng
Main Conference Track
Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression Kyo Kuroki, Yasuyuki Okoshi, Thiem Van Chu, Kazushi Kawamura, Masato Motomura
Main Conference Track
Solver-Free Decision-Focused Learning for Linear Optimization Problems Senne Berden, Ali Mahmutoğulları, Dimos Tsouros, Tias Guns
Main Conference Track
Locally Optimal Private Sampling: Beyond the Global Minimax Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh
Main Conference Track
Neural Hamiltonian Diffusions for Modeling Structured Geometric Dynamics Sungwoo Park
Main Conference Track
GauSAM: Contour‑Guided 2D Gaussian Fields for Multi‑Scale Medical Image Segmentation with Segment Anything Jinxuan Wu, Jiange Wang, Dongdong Zhang
Main Conference Track
Block Coordinate Descent for Neural Networks Provably Finds Global Minima Shunta Akiyama
Main Conference Track
GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks Xingbo Fu, Zhenyu Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li
Main Conference Track
Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Lecheng Wang, Hao Zhu, Huanyu Liu, jiazheng ding, Jia Li, Jinliang Deng, Hong Mei
Main Conference Track
Scaling Language-centric Omnimodal Representation Learning Chenghao Xiao, Hou Pong (Ken) Chan, Hao Helen Zhang, Weiwen Xu, Mahani Aljunied, Yu Rong
Main Conference Track
AGI-Elo: How Far Are We From Mastering A Task? Error
Datasets and Benchmarks Track
Accelerating Feature Conformal Prediction via Taylor Approximation Zihao Tang, Boyuan Wang, Chuan Wen, Jiaye Teng
Main Conference Track
Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations Jiaming Han, Hao Chen, Yang Zhao, Hanyu Wang, Qi Zhao, Ziyan Yang, Hao He, Xiangyu Yue, Lu Jiang
Main Conference Track
Diffusion on Demand: Selective Caching and Modulation for Efficient Generation Hee Min Choi, Hyoa Kang, Dokwan Oh, Nam Ik Cho
Main Conference Track
DisMo: Disentangled Motion Representations for Open-World Motion Transfer Thomas Ressler-Antal, Frank Fundel, Malek Ben Alaya, Stefan Andreas Baumann, Felix Krause, Ming Gui, Björn Ommer
Main Conference Track
Quantum Visual Fields with Neural Amplitude Encoding Shuteng Wang, Christian Theobalt, Vladislav Golyanik
Main Conference Track
Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^\pi$-Realizable MDPs Antoine Moulin, Gergely Neu, Luca Viano
Main Conference Track
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping Pu Yang, Yunzhen Feng, Ziyuan Chen, Yuhang Wu, Zhuoyuan Li
Main Conference Track
Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing Kijung Jeon, Michael Muehlebach, Molei Tao
Main Conference Track
SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders Zhuohao Yu, Xingru Jiang, Weizheng Gu, Yidong Wang, Qingsong Wen, Shikun Zhang, Wei Ye
Main Conference Track
From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs Xiyuan Jin, Jing Wang, Ziwei Lin, QIANRU JIA, Yuqing Huang, Xiaojun Ning, Zhonghua Shi, Youfang Lin
Main Conference Track
Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees Sangwoo Park, Matteo Zecchin, Osvaldo Simeone
Main Conference Track
Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning Feng Chen, Allan Raventós, Nan Cheng, Surya Ganguli, Shaul Druckmann
Main Conference Track
Predicting the Performance of Black-box Language Models with Follow-up Queries Dylan Sam, Marc Finzi, Zico Kolter
Main Conference Track
MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene Generation Zhenyu Pan, Yucheng Lu, Han Liu
Main Conference Track
EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization Yize Wu, KE GAO, Ling Li, Yanjun Wu
Main Conference Track
Neurons as Detectors of Coherent Sets in Sensory Dynamics Joshua L Pughe-Sanford, Xuehao Ding, Jason Moore, Anirvan Sengupta, Charles Epstein, Philip Greengard, Dmitri B. Chklovskii
Main Conference Track
OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis Run Luo, Ting-En Lin, Haonan Zhang, Yuchuan Wu, Xiong Liu, Yongbin Li, Longze Chen, Jiaming Li, Lei Zhang, Xiaobo Xia, Hamid Alinejad-Rokny, Fei Huang, Min Yang
Main Conference Track
Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text Zhange Zhang, Zhicheng Geng, Yuqing Ma, Tianbo Wang, Kai Lv, Xianglong Liu
Main Conference Track
Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems Hao Liang, shuqing shi, Yudi Zhang, Biwei Huang, Yali Du
Main Conference Track
Pattern-Guided Adaptive Prior for Structure Learning Lyuzhou Chen, Yijia Sun, Yanze Gao, Xiangyu Wang, Derui Lyu, Taiyu Ban, Xin Wang, Xiren Zhou, Huanhuan Chen
Main Conference Track
Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization Ziqi Wang, Jiashun Liu, Ling Pan
Main Conference Track
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness Longwei Wang, Ifrat Ikhtear Uddin, Prof. KC Santosh (PhD), Chaowei Zhang, Xiao Qin, Yang Zhou
Main Conference Track
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning Yibin Wang, li zhimin, Yuhang Zang, Chunyu Wang, Qinglin Lu, Cheng Jin, Jiaqi Wang
Main Conference Track
Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control Zijie Xu, Tong Bu, Zecheng Hao, Jianhao Ding, Zhaofei Yu
Main Conference Track
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution Fengxiang Wang, Mingshuo Chen, Yueying Li, Di Wang, Haotian Wang, Zonghao Guo, Zefan Wang, Shan Boqi, Long Lan, Yulin Wang, Hongzhen Wang, Wenjing Yang, Bo Du, Jing Zhang
Main Conference Track
A Geometric Analysis of PCA Ayoub El Hanchi, Murat A Erdogdu, Chris J Maddison
Main Conference Track
Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping Justin Lazarow, Kai Kang, Afshin Dehghan
Main Conference Track
Superposition Yields Robust Neural Scaling Yizhou Liu, Ziming Liu, Jeff Gore
Main Conference Track
Inference with correlated priors using sisters cells Sina Tootoonian, Andreas Schaefer
Main Conference Track
Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning wang lin, Wentao Hu, Liyu Jia, Kaihang Pan, Majun Zhang, Zhou Zhao, Fei Wu, Jingyuan Chen, Hanwang Zhang
Main Conference Track
Think Only When You Need with Large Hybrid-Reasoning Models Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei
Main Conference Track
Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction Hongtao Huang, Chengkai Huang, Junda Wu, Tong Yu, Julian McAuley, Lina Yao
Main Conference Track
LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers Error
Datasets and Benchmarks Track
Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning Ziqi Gu, Chunyan Xu, Wenxuan Fang, Xin Liu, Yide Qiu, Zhen Cui
Main Conference Track
OmniZoom: A Universal Plug-and-Play Paradigm for Cross-Device Smooth Zoom Interpolation Xiaoan Zhu, Yue Zhao, Tianyang Hu, Jiaming Guo, Yulan Zeng, Renjing Pei, Fenglong Song, Huajun Feng
Main Conference Track
Efficient Randomized Experiments Using Foundation Models Piersilvio De Bartolomeis, Javier Abad, Guanbo Wang, Konstantin Donhauser, Raymond Duch, Fanny Yang, Issa Dahabreh
Main Conference Track
Characterizing the Expressivity of Fixed-Precision Transformer Language Models Jiaoda Li, Ryan Cotterell
Main Conference Track
OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Jingjing Chang, Yixiao Fang, Peng Xing, Shuhan Wu, Wei Cheng, Rui Wang, Xianfang Zeng, Gang Yu, Hai-Bao Chen
Datasets and Benchmarks Track
Emerging Risks from Embodied AI Require Urgent Policy Action Error
Position Paper Track
Imitation Learning with Temporal Logic Constraints Zining Fan, He Zhu
Main Conference Track
WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting Kaitao Huang, Yan Yan, Jing-Hao Xue, Hanzi Wang
Main Conference Track
STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking Sicheng Shen, Dongcheng Zhao, Linghao Feng, Zeyang Yue, Jindong Li, Tenglong Li, Guobin Shen, Yi Zeng
Datasets and Benchmarks Track
QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation Yang Zhang, Rui Zhang, Jiaming Guo, Huang Lei, Di Huang, Yunpu Zhao, Shuyao Cheng, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
Main Conference Track
Finding separatrices of dynamical flows with Deep Koopman Eigenfunctions Kabir Dabholkar, Omri Barak
Main Conference Track
WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild Morris Alper, David Novotny, Filippos Kokkinos, Hadar Averbuch-Elor, Tom Monnier
Main Conference Track
Mechanism Design for LLM Fine-tuning with Multiple Reward Models Haoran Sun, Yurong Chen, Siwei Wang, Chu Xu, Wei Chen, Xiaotie Deng
Main Conference Track
QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification Qian Tang, Yuwen Gu, Boxiang Wang
Main Conference Track
Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks Jingyuan Liu, Hao Qiu, Lin F. Yang, Mengfan Xu
Main Conference Track
Learning to Steer: Input-dependent Steering for Multimodal LLMs Jayneel Parekh, Pegah KHAYATAN, Mustafa Shukor, Arnaud Dapogny, Alasdair Newson, Matthieu Cord
Main Conference Track
Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding Daiqing Qi, Dongliang Guo, Hanzhang Yuan, Handong Zhao, Mengxuan Hu, Lehan Yang, Sheng Li
Main Conference Track
Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding Duy-Tung Pham, An Nguyen The, Viet-Hoang Tran, Nhan-Phu Chung, Xin Tong, Tan M. Nguyen, Thieu N. Vo
Main Conference Track
Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting Anand Bhattad, Konpat Preechakul, Alexei A Efros
Main Conference Track
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He
Main Conference Track
Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL Junyu guo, Zhi Zheng, Donghao Ying, Ming Jin, Shangding Gu, Costas J Spanos, Javad Lavaei
Main Conference Track
Online Feedback Efficient Active Target Discovery in Partially Observable Environments Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik
Main Conference Track
WHAT MAKES MATH PROBLEMS HARD FOR REINFORCEMENT LEARNING: A CASE STUDY Ali Shehper, Anibal Medina-Mardones, Lucas Fagan, Bartłomiej Lewandowski, Angus Gruen, Yang Qiu, Piotr Kucharski, Zhenghan Wang, Sergei Gukov
Main Conference Track
Tight analyses of first-order methods with error feedback Daniel Berg Thomsen, Adrien Taylor, Aymeric Dieuleveut
Main Conference Track
Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few Qishuai Wen, Zhiyuan Huang, Chun-Guang Li
Main Conference Track
Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion Zaoming Yan, Yaomin Huang, Pengcheng Lei, Qizhou Chen, Guixu Zhang, Faming Fang
Main Conference Track
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent Yuheng Zhang, Dian Yu, Tao Ge, Linfeng Song, Zhichen Zeng, Haitao Mi, Nan Jiang, Dong Yu
Main Conference Track
PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning Xiaogang Jia, Qian Wang, Anrui Wang, Han Wang, Balázs Gyenes, Emiliyan Gospodinov, Xinkai Jiang, Ge Li, Hongyi Zhou, Weiran Liao, Xi Huang, Maximilian Beck, Moritz Reuss, Rudolf Lioutikov, Gerhard Neumann
Main Conference Track
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints Utkarsh Utkarsh, Pengfei Cai, Alan Edelman, Rafael Gomez-Bombarelli, Christopher Rackauckas
Main Conference Track
Individually Fair Diversity Maximization Ruien Li, Yanhao Wang
Main Conference Track
Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology Wenhao Tang, Rong Qin, Heng Fang, Fengtao Zhou, Hao CHEN, Xiang Li, Ming-Ming Cheng
Main Conference Track
Do Language Models Use Their Depth Efficiently? Róbert Csordás, Christopher D Manning, Chris Potts
Main Conference Track
Compute-Optimal Scaling for Value-Based Deep RL Preston Fu, Oleh Rybkin, Zhiyuan (Paul) Zhou, Michal Nauman, Pieter Abbeel, Sergey Levine, Aviral Kumar
Main Conference Track
Learning Skill-Attributes for Transferable Assessment in Video Kumar Ashutosh, Kristen Grauman
Main Conference Track
CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs Jan Hagnberger, Daniel Musekamp, Mathias Niepert
Main Conference Track
Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration Yonghao Liu, Yajun Wang, Chunli Guo, Wei Pang, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
Main Conference Track
DINGO: Constrained Inference for Diffusion LLMs Tarun Suresh, Debangshu Banerjee, Shubham Ugare, Sasa Misailovic, Gagandeep Singh
Main Conference Track
Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling Dongyi Wang, Yuanwei Jiang, Zhenyi Zhang, Xiang Gu, Peijie Zhou, Jian Sun
Main Conference Track
Improved Representation Steering for Language Models Zhengxuan Wu, Qinan Yu, Aryaman Arora, Christopher D Manning, Chris Potts
Main Conference Track
Graph Persistence goes Spectral Mattie Ji, Amauri H. Souza, Vikas Garg
Main Conference Track
L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery Ziwei Shi, Xiaoran Zhang, Wenjing Xu, Yan Xia, Yu Zang, Siqi Shen, Cheng Wang
Main Conference Track
The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets Yatin Dandi, Luca Pesce, Lenka Zdeborová, Florent Krzakala
Main Conference Track
VMDT: Decoding the Trustworthiness of Video Foundation Models Yujin Potter, Zhun Wang, Nicholas Crispino, Kyle Montgomery, Alexander Xiong, Ethan Chang, Francesco Pinto, Yuqi Chen, Rahul Gupta, Morteza Ziyadi, Christos Christodoulopoulos, Bo Li, Chenguang Wang, Dawn Song
Datasets and Benchmarks Track
SEAL: Semantic-Aware Hierarchical Learning for Generalized Category Discovery Zhenqi He, Yuanpei Liu, Kai Han
Main Conference Track
Scaling Physical Reasoning with the PHYSICS Dataset Shenghe Zheng, Qianjia Cheng, Junchi Yao, Mengsong Wu, haonan he, Ning Ding, Yu Cheng, Shuyue Hu, LEI BAI, Dongzhan Zhou, Ganqu Cui, Peng Ye
Datasets and Benchmarks Track
Precise Asymptotics and Refined Regret of Variance-Aware UCB Yingying Fan, Yuxuan Han, Jinchi Lv, Xiaocong Xu, Zhengyuan Zhou
Main Conference Track
Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data Andrew C. Li, Toryn Klassen, Andrew Wang, Parand A. Alamdari, Sheila A. McIlraith
Main Conference Track
MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes Feiyang Pan, Shenghe Zheng, Chunyan Yin, Guangbin Dou
Main Conference Track
Multivariate Time Series Anomaly Detection with Idempotent Reconstruction Xin Sun, Heng Zhou, Chao Li
Main Conference Track
Zeroth-Order Optimization Finds Flat Minima Liang Zhang, Bingcong Li, Kiran K Thekumparampil, Sewoong Oh, Michael Muehlebach, Niao He
Main Conference Track
Extracting task-relevant preserved dynamics from contrastive aligned neural recordings Yiqi Jiang, Kaiwen Sheng, Yujia Gao, Estefany Kelly Buchanan, Yu Shikano, Seung Je Woo, Yixiu Zhao, Tony Hyun Kim, Fatih Dinc, Scott Linderman, Mark J. Schnitzer
Main Conference Track
Learning to Zoom with Anatomical Relations for Medical Structure Detection Bin Pu, Liwen Wang, Xingbo Dong, Xingguo Lv, ZHE JIN
Main Conference Track
A Clean Slate for Offline Reinforcement Learning Matthew T. Jackson, Uljad Berdica, Jarek Liesen, Shimon Whiteson, Jakob Foerster
Main Conference Track
Estimating Model Performance Under Covariate Shift Without Labels Jakub Białek, Juhani Kivimäki, Wojciech Kuberski, Nikolaos Perrakis
Main Conference Track
The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets Yujun Kim, Chaewon Moon, Chulhee Yun
Main Conference Track
Decoupled Entropy Minimization Jing Ma, Hanlin Li, Xiang Xiang
Main Conference Track
Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN Wei Huang, Hanchen Wang, Dong Wen, SHAOZHEN MA, Wenjie Zhang, Xuemin Lin
Main Conference Track
Less is More: Improving LLM Alignment via Preference Data Selection Xun Deng, Han Zhong, Rui Ai, Fuli Feng, Zheng Wang, Xiangnan He
Main Conference Track
KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation Jiajun Shi, Jian Yang, Jiaheng Liu, Xingyuan Bu, Jiangjie Chen, Junting Zhou, Kaijing Ma, Zhoufutu Wen, Bingli Wang, Yancheng He, Liang Song, Hualei Zhu, Shilong Li, Xingjian Wang, Wei Zhang, Ruibin Yuan, Yifan Yao, Wenjun Yang, Yunli Wang, Siyuan Fang, Siyu Yuan, Qianyu He, Robert Tang, Yingshui Tan, Wangchunshu Zhou, ZHAO-XIANG ZHANG, Zhoujun Li, Wenhao Huang, Ge Zhang
Main Conference Track
MaxSup: Overcoming Representation Collapse in Label Smoothing Yuxuan Zhou, Heng Li, Zhi-Qi Cheng, Xudong Yan, Yifei Dong, Mario Fritz, Margret Keuper
Main Conference Track
Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs Guiyao Tie, Zenghui Yuan, Zeli Zhao, Chaoran Hu, Tianhe Gu, Ruihang Zhang, Sizhe Zhang, Junran Wu, Xiaoyue Tu, Ming Jin, Qingsong Wen, Lixing Chen, Pan Zhou, Lichao Sun
Datasets and Benchmarks Track
A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings Error
Datasets and Benchmarks Track
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models Yonggan Fu, Xin Dong, Shizhe Diao, Matthijs Van keirsbilck, Hanrong Ye, Wonmin Byeon, Yashaswi Karnati, Lucas Liebenwein, Maksim Khadkevich, Alexander Keller, Jan Kautz, Yingyan (Celine) Lin, Pavlo Molchanov
Main Conference Track
Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations Yuqian Cheng, Zhuo Chen, Qian Lin
Main Conference Track
Train on Pins and Test on Obstacles for Rectilinear Steiner Minimum Tree Xingbo Du, Ruizhe Zhong, Junchi Yan
Main Conference Track
Dynamic Focused Masking for Autoregressive Embodied Occupancy Prediction Yuan Sun, Julio Contreras, Jorge Ortiz
Main Conference Track
Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics Dongyoung Kim, Sumin Park, Huiwon Jang, Jinwoo Shin, Jaehyung Kim, Younggyo Seo
Main Conference Track
Improved Approximation Algorithms for Chromatic and Pseudometric-Weighted Correlation Clustering Chenglin Fan, Dahoon Lee, Euiwoong Lee
Main Conference Track
SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs Jinhong Deng, Wen Li, Joey Tianyi Zhou, Yang He
Main Conference Track
Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention Haijing Liu, Zhiyuan Song, Hefeng Wu, Tao Pu, Keze Wang, Liang Lin
Main Conference Track
Learning Differential Pyramid Representation for Tone Mapping Qirui Yang, Yinbo Li, Yihao Liu, Peng-Tao Jiang, Fangpu Zhang, cheng qihua, Huanjing Yue, Jingyu Yang
Main Conference Track
ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction Jiabao Lei, Kewei Shi, Zhihao Liang, Kui Jia
Main Conference Track
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang, Weihao Xuan, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, JIAN SONG, Junshi Xia, Zhuo Zheng, Naoto YOKOYA
Datasets and Benchmarks Track
Root Cause Analysis of Outliers with Missing Structural Knowledge William Roy Orchard, Nastaran Okati, Sergio Garrido Mejia, Patrick Blöbaum, Dominik Janzing
Main Conference Track
On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent Xinwen Zhang, Hongchang Gao
Main Conference Track
The Rich and the Simple: On the Implicit Bias of Adam and SGD Bhavya Vasudeva, Jung Hoon Lee, Vatsal Sharan, Mahdi Soltanolkotabi
Main Conference Track
Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders Samuel V. Singh, Shirley Coyle, Mimi Zhang
Main Conference Track
AlphaBeta is not as good as you think: a simple class of synthetic games for a better analysis of deterministic game-solving algorithms Raphael Boige, Amine Boumaza, Bruno Scherrer
Main Conference Track
Marginal-Nonuniform PAC Learnability Steve Hanneke, Shay Moran, Maximilian Thiessen
Main Conference Track
SEMPO: Lightweight Foundation Models for Time Series Forecasting Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang
Main Conference Track
KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning Wei Sun, Wen Yang, Pu Jian, Qianlong Du, Fuwei Cui, Shuo Ren, Jiajun Zhang
Main Conference Track
STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals Vaclav Voracek, Francesco Orabona
Main Conference Track
S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation Junlang Huang, Chen Hao, Li Luo, Yong Cai, Lexin Zhang, Tianhao Ma, Yitian Zhang, Zhong Guan
Main Conference Track
Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals Linda Zeng, Rithwik Gupta, Divij Motwani, Yi Zhang, Diji Yang
Datasets and Benchmarks Track
MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks Rui Jiao, Hanlin Wu, Wenbing Huang, Yuxuan Song, Yawen Ouyang, Yu Rong, Tingyang Xu, Pengju Wang, Hao Zhou, Wei-Ying Ma, Jingjing Liu, Yang Liu
Main Conference Track
Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster Shriram M S, Xinyue Hao, Shihao Hou, Yang Lu, Laura Sevilla-Lara, Anurag Arnab, Shreyank Gowda
Main Conference Track
MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges Rongchao Zhang, Yu Huang, Yongzhi Cao, Hanpin Wang
Main Conference Track
Differentially Private Gomory-Hu Trees Anders Aamand, Justin Chen, Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu
Main Conference Track
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation Yehjin Shin, Jeongwhan Choi, Seojin Kim, Noseong Park
Main Conference Track
Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding Yiming Wang, Pei Zhang, Siyuan Huang, Baosong Yang, Zhuosheng Zhang, Fei Huang, Rui Wang
Main Conference Track
Combining Cost Constrained Runtime Monitors for AI Safety Tim Hua, James Baskerville, Henri Lemoine, Mia Hopman, Aryan Bhatt, Tyler Tracy
Main Conference Track
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection Shenzhi Yang, Junbo Zhao, Sharon Li, Shouqing Yang, Dingyu Yang, Xiaofang Zhang, Haobo Wang
Main Conference Track
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model Jingcheng Hu, Yinmin Zhang, Qi Han, Daxin Jiang, Xiangyu Zhang, Heung-Yeung Shum
Main Conference Track
FlowFeat: Pixel-Dense Embedding of Motion Profiles Nikita Araslanov, Anna Sonnweber, Daniel Cremers
Main Conference Track
Latent Principle Discovery for Language Model Self-Improvement Keshav Ramji, Tahira Naseem, Ramón Astudillo
Main Conference Track
Blackbox Model Provenance via Palimpsestic Membership Inference Rohith Kuditipudi, Jing Huang, Sally Zhu, Diyi Yang, Chris Potts, Percy Liang
Main Conference Track
FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling Hong Huang, Jinhai Yang, Yuan Chen, Jiaxun Ye, Dapeng Wu
Main Conference Track
Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification Jingyuan Zhang, Xin Wang, Lei Yu, Zhirong Huang, Li Yang, Fengjun Zhang
Main Conference Track
Valid Inference with Imperfect Synthetic Data Yewon Byun, Shantanu Gupta, Zachary C. Lipton, Rachel Childers, Bryan Wilder
Main Conference Track
A Learning-Augmented Approach to Online Allocation Problems Ilan Cohen, Debmalya Panigrahi
Main Conference Track
Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models Haolang Lu, Yilian Liu, Jingxin Xu, Guoshun Nan, Yuanlong Yu, Zhican Chen, Kun Wang
Main Conference Track
Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization Han Wang, Chao Ning
Main Conference Track
Deep Learning with Plausible Deniability Wenxuan Bao, Shan Jin, Hadi Abdullah, Anderson Nascimento, Vincent Bindschaedler, Yiwei Cai
Main Conference Track
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Shiwei Li, Peiyang Liu, Bowei He, Dugang Liu, Weihong Luo, Xiuqiang He, Chen Ma
Main Conference Track
HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models Haoran Li, Yingjie Qin, Baoyuan Ou, Lai Xu, Ruiwen Xu
Main Conference Track
Deep Continuous-Time State-Space Models for Marked Event Sequences Yuxin Chang, Alex Boyd, Cao (Danica) Xiao, Taha Kass-Hout, Parminder Bhatia, Padhraic Smyth, andrew warrington
Main Conference Track
ProDAG: Projected Variational Inference for Directed Acyclic Graphs Ryan Thompson, Edwin V. Bonilla, Robert Kohn
Main Conference Track
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging Felix Wagner, Pramit Saha, Harry Anthony, Alison Noble, Konstantinos Kamnitsas
Main Conference Track
Attractive Metadata Attack: Inducing LLM Agents to Invoke Malicious Tools Kanghua Mo, Li Hu, Yucheng Long, Zhihao Li
Main Conference Track
LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans Zhening Huang, Xiaoyang Wu, Fangcheng Zhong, Hengshuang Zhao, Matthias Niessner, Joan Lasenby
Main Conference Track
Multi-head Temporal Latent Attention Keqi Deng, Phil Woodland
Main Conference Track
Faithful Group Shapley Value Kiljae Lee, Ziqi Liu, Weijing Tang, Yuan Zhang
Main Conference Track
Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning Fanrui Zhang, Dian Li, Qiang Zhang, Chenjun, sinbadliu, Junxiong Lin, Jiahong Yan, Jiawei Liu, Zheng-Jun Zha
Main Conference Track
Differentiable Generalized Sliced Wasserstein Plans Laetitia Chapel, Romain Tavenard, Samuel Vaiter
Main Conference Track
Visual Structures Help Visual Reasoning: Addressing the Binding Problem in LVLMs Amirmohammad Izadi, Mohammadali Banayeeanzade, Fatemeh Askari, Ali Rahimiakbar, Mohammad Vahedi, Hosein Hasani, Mahdieh Baghshah
Main Conference Track
Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum SARIT KHIRIRAT, Abdurakhmon Sadiev, Artem Riabinin, Eduard Gorbunov, Peter Richtarik
Main Conference Track
VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models Xinan He, Yue Zhou, Bing Fan, Bin Li, Guopu Zhu, Feng Ding
Main Conference Track
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning Zeyuan Liu, Zhihe Yang, Jiawei Xu, Rui Yang, Jiafei Lyu, Baoxiang Wang, Yunjian Xu, Xiu Li
Main Conference Track
Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong
Main Conference Track
UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions Xue zhucun, Jiangning Zhang, Teng Hu, Haoyang He, Yinan Chen, Yuxuan Cai, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Dacheng Tao
Datasets and Benchmarks Track
The Curse of Depth in Large Language Models Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin, Yefeng Zheng, Shiwei Liu
Main Conference Track
Learning-Augmented Facility Location Mechanisms for Envy Ratio HARIS AZIZ, Yuhang Guo, Alexander Lam, Houyu Zhou
Main Conference Track
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song
Main Conference Track
Data Mixing Can Induce Phase Transitions in Knowledge Acquisition Xinran Gu, Kaifeng Lyu, Jiazheng Li, Jingzhao Zhang
Main Conference Track
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL Jiarui Yao, Yifan Hao, Hanning Zhang, Hanze Dong, Wei Xiong, Nan Jiang, Tong Zhang
Main Conference Track
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints Jayanta Mandi, Marianne Defresne, Senne Berden, Tias Guns
Main Conference Track
RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation Zixun Wang, Ben Dai
Main Conference Track
The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games Ioannis Anagnostides, Ioannis Panageas, Tuomas Sandholm, Jingming Yan
Main Conference Track
Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities Xi ruida
Main Conference Track
BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification Xiaobin Liu, Jianing Li, Baiwei Guo, WenbinZhu, Jing Yuan
Main Conference Track
Monoculture or Multiplicity: Which Is It? Mila Gorecki, Moritz Hardt
Main Conference Track
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu
Main Conference Track
Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator Beier Luo, Shuoyuan Wang, Sharon Li, Hongxin Wei
Main Conference Track
Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding Anupam Pani, Yanchao Yang
Main Conference Track
Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search Jingyu Li, Pengwen Dai, Mingqing Zhu, Chengwei Wang, Haolong Liu, Xiaochun Cao
Main Conference Track
Dynamic Shadow Unveils Invisible Semantics for Video Outpainting Ruilin Li, Hang Yu, Jiayan Qiu
Main Conference Track
PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling Guilin Li, Yun Zhang, Xiuyuan Chen, Chengqi Li, Bo Wang, Linghe Kong, Wenjia Wang, Weiran Huang, Matthias Tan
Main Conference Track
Joint Relational Database Generation via Graph-Conditional Diffusion Models Mohamed Amine Ketata, David Lüdke, Leo Schwinn, Stephan Günnemann
Main Conference Track
SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Zezhi Shao, Jun Zhang, Tao Sun, Fei Wang, Yongjun Xu
Main Conference Track
Brain-like Variational Inference Hadi Vafaii, Dekel Galor, Jacob L. Yates
Main Conference Track
DINO-Foresight: Looking into the Future with DINO Efstathios Karypidis, Ioannis Kakogeorgiou, Spyridon Gidaris, Nikos Komodakis
Main Conference Track
Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL Juan Formanek, Omayma Mahjoub, Louay Nessir, Sasha Abramowitz, Ruan John de Kock, Wiem Khlifi, Daniel Rajaonarivonivelomanantsoa, Simon Du Toit, Arnol Fokam, Siddarth Singh, Ulrich Armel Mbou Sob, Felix Chalumeau, Arnu Pretorius
Main Conference Track
Improving Progressive Generation with Decomposable Flow Matching Moayed Haji-Ali, Willi Menapace, Ivan Skorokhodov, Arpit Sahni, Sergey Tulyakov, Vicente Ordonez, Aliaksandr Siarohin
Main Conference Track
Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework Chenghu Du, Shengwu Xiong, junyin Wang, Yi Rong, Shili Xiong
Main Conference Track
Energy Loss Functions for Physical Systems Oumar Kaba, Kusha Sareen, Daniel Levy, Siamak Ravanbakhsh
Main Conference Track
MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations The Viet Bui, Tien Mai, Thanh Hong Nguyen
Main Conference Track
Single-Step Operator Learning for Conditioned Time-Series Diffusion Models Hui Chen, Vikas Singh
Main Conference Track
Partial Correlation Network Estimation by Semismooth Newton Methods DongWon Kim, Sungdong Lee, Joong-Ho (Johann) Won
Main Conference Track
LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering Jonas Kulhanek, Marie-Julie Rakotosaona, Fabian Manhardt, Christina Tsalicoglou, Michael Niemeyer, Torsten Sattler, Songyou Peng, Federico Tombari
Main Conference Track
Environment Inference for Learning Generalizable Dynamical System Shixuan Liu, Yue He, Haotian Wang, Wenjing Yang, Yunfei Wang, Peng Cui, Zhong Liu
Main Conference Track
4KAgent: Agentic Any Image to 4K Super-Resolution Yushen Zuo, Qi Zheng, Mingyang Wu, Xinrui Jiang, Renjie Li, Jian Wang, Yide Zhang, Gengchen Mai, Lihong Wang, James Y Zou, Xiaoyu Wang, Ming-Hsuan Yang, Zhengzhong Tu
Main Conference Track
It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation Jikai Jin, Lester Mackey, Vasilis Syrgkanis
Main Conference Track
Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon, Laetitia Chapel, Titouan Vayer
Main Conference Track
Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao SHU, Puning Zhao, Li Shen, Dacheng Tao
Main Conference Track
RBench-V: A Primary Assessment for Visual Reasoning Models with Multimodal Outputs Meng-Hao Guo, Xuanyu Chu, Qianrui Yang, Zhe-Han Mo, Yiqing Shen, Pei-lin Li, Xinjie Lin, Jinnian Zhang, Xin-Sheng Chen, Yi Zhang, Kiyohiro Nakayama, Zhengyang Geng, Houwen Peng, Han Hu, Shi-min Hu
Datasets and Benchmarks Track
Plasticity as the Mirror of Empowerment David Abel, Michael Bowling, Andre Barreto, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder P. Singh
Main Conference Track
Whole-Body Conditioned Egocentric Video Prediction Yutong Bai, Danny Tran, Amir Bar, Yann LeCun, Trevor Darrell, Jitendra Malik
Main Conference Track
Tail-Optimized Caching for LLM Inference Wenxin Zhang, Yueying Li, Ciamac C Moallemi, Tianyi Peng
Main Conference Track
VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching Siyu Xu, Yunke Wang, Chenghao Xia, Dihao Zhu, Tao Huang, Chang Xu
Main Conference Track
Avoiding exp(R) scaling in RLHF through Preference-based Exploration Mingyu Chen, Yiding Chen, Wen Sun, Xuezhou Zhang
Main Conference Track
Linguini: A benchmark for language-agnostic linguistic reasoning Error
Datasets and Benchmarks Track
Autoencoding Random Forests Binh Vu, Jan Kapar, Marvin Wright, David Watson
Main Conference Track
StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs Qijun Luo, Mengqi Li, Lei Zhao, Xiao Li
Main Conference Track
Color Conditional Generation with Sliced Wasserstein Guidance Alexander Lobashev, Maria Larchenko, Dmitry Guskov
Main Conference Track
In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain Ethan Hwang, Hossein Adeli, Wenxuan Guo, Andrew Luo, Nikolaus Kriegeskorte
Main Conference Track
The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement Ruihan Yang, Fanghua Ye, Jian Li, Siyu Yuan, yikai zhang, Zhaopeng Tu, Xiaolong Li, Deqing Yang
Main Conference Track
Quantitative convergence of trained neural networks to Gaussian processes Andrea Agazzi, Eloy Mosig García, Dario Trevisan
Main Conference Track
Learning Spatial-Aware Manipulation Ordering Yuxiang Yan, Zhiyuan Zhou, Xin Gao, Guanghao Li, Shenglin Li, Jiaqi Chen, Qunyan Pu, Jian Pu
Main Conference Track
Functional data analysis for multivariate distributions through Wasserstein slicing Han Chen, Hans-Georg Müller
Main Conference Track
Large Language Models as End-to-end Combinatorial Optimization Solvers Xia Jiang, Yaoxin Wu, Minshuo Li, Zhiguang Cao, Yingqian Zhang
Main Conference Track
Iterative Foundation Model Fine-Tuning on Multiple Rewards Pouya M. Ghari, simone sciabola, Ye Wang
Main Conference Track
Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy Qing Zhao, Weijian Deng, Pengxu Wei, ZiYi Dong, Hannan Lu, Xiangyang Ji, Liang Lin
Main Conference Track
Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe Jia Nuo Liew, Shenghan Lin, Bowen Chen, Wei Zhang, Xiaowei Zhu, Xiaolin Hu
Main Conference Track
Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems Marcos Negre Saura, Richard Allmendinger, Wei Pan, Theodore Papamarkou
Main Conference Track
A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values Tyler Chen, Akshay Seshadri, Mattia Jacopo Villani, Pradeep Niroula, Shouvanik Chakrabarti, Archan Ray, Pranav Deshpande, Romina Yalovetzky, Marco Pistoia, Niraj Kumar
Main Conference Track
FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing Shoutao Guo, Shaolei Zhang, Qingkai Fang, Zhengrui Ma, Min zhang, Yang Feng
Main Conference Track
Multi-Agent Collaboration via Evolving Orchestration Yufan Dang, Chen Qian, Xueheng Luo, Jingru Fan, Zihao Xie, Ruijie Shi, Weize Chen, Cheng Yang, Xiaoyin Che, Ye Tian, Xuantang Xiong, Lei Han, Zhiyuan Liu, Maosong Sun
Main Conference Track
TAI3: Testing Agent Integrity in Interpreting User Intent Shiwei Feng, Xiangzhe Xu, Xuan Chen, Kaiyuan Zhang, Syed Ahmed, Zian Su, Mingwei Zheng, Xiangyu Zhang
Main Conference Track
Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search Yanbo Wang, Zixiang Xu, Yue Huang, Gao Chujie, Siyuan Wu, Jiayi Ye, Pin-Yu Chen, Xiuying Chen, Xiangliang Zhang
Main Conference Track
GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation Tao Liu, Chongyu Wang, Rongjie Li, Yingchen Yu, Xuming He, Song Bai
Main Conference Track
Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning Xiao Han, ZIMO ZHAO, Wanyu Wang, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao
Main Conference Track
Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner Runa Eschenhagen, Aaron Defazio, Tsung-Hsien Lee, Richard E Turner, Hao-Jun Shi
Main Conference Track
Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains Colin Kohler, Purvik Patel, Nathan Vaska, Justin Goodwin, Matthew Jones, Robert Platt, Rajmonda Caceres, Robin Walters
Main Conference Track
Price of Parsimony: Complexity of Fourier Sparsity Testing Arijit Ghosh, Manmatha Roy
Main Conference Track
Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization Yijin Ren, Haifeng Xu, Qi Deng
Main Conference Track
Vector Quantization in the Brain: Grid-like Codes in World Models Xiangyuan Peng, Xingsi Dong, Si Wu
Main Conference Track
Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection Jianyu Wang, Yu Wang, Shengjie Zhao, Sifan Zhou
Main Conference Track
Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection Chenyu Zhu, Yefeng Liu, Hao Helen Zhang, Aowen Wang, Yangxue, Guanhua Chen, Longyue Wang, Weihua Luo, Kaifu Zhang
Main Conference Track
Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings Bo Li, Wei Wang, Peng Ye
Main Conference Track
Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing Qingzhu Zhang, Jiani Zhong, Zongsheng Li, Xinke Shen, Quanying Liu
Main Conference Track
Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference Denis Blessing, Julius Berner, Lorenz Richter, Carles Domingo i Enrich, Yuanqi Du, Arash Vahdat, Gerhard Neumann
Main Conference Track
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees Yuchen Liang, Yingbin Liang, Lifeng LAI, Ness Shroff
Main Conference Track
SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding Zhao Jin, Rong-Cheng Tu, Jingyi Liao, Wenhao Sun, Xiao Luo, Shunyu Liu, Dacheng Tao
Main Conference Track
SimWorld: An Open-ended Simulator for Agents in Physical and Social Worlds Xiaokang Ye, Jiawei Ren, Yan Zhuang, Xuhong He, Yiming Liang, Yiqing Yang, Mrinaal Dogra, Xianrui Zhong, Eric Liu, Kevin Benavente, Rajiv Mandya Nagaraju, Dhruv Sharma, Ziqiao Ma, Tianmin Shu, Zhiting Hu, Lianhui Qin
Main Conference Track
Self-Refining Language Model Anonymizers via Adversarial Distillation Kyuyoung Kim, Hyunjun Jeon, Jinwoo Shin
Main Conference Track
Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data Felix Koehler, Nils Thuerey
Main Conference Track
Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity Hugo Ninou, Jonathan Kadmon, N Alex Cayco Gajic
Main Conference Track
Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis Leitian Tao, Xuefeng Du, Sharon Li
Main Conference Track
Fortifying Time Series: DTW-Certified Robust Anomaly Detection Shijie Liu, Tansu Alpcan, Christopher Leckie, Sarah Erfani
Main Conference Track
GVPO: Group Variance Policy Optimization for Large Language Model Post-Training Kaichen Zhang, Yuzhong Hong, Junwei Bao, Hongfei Jiang, Yang Song, Hong Dingqian, Hui Xiong
Main Conference Track
TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery Zhihao Wang, Cooper Li, Ruichen Wang, Lei Ma, George Hurtt, Xiaowei Jia, Gengchen Mai, Zhili Li, Yiqun Xie
Datasets and Benchmarks Track
On the Stability and Generalization of Meta-Learning: the Impact of Inner-Levels Wenjun Ding, Jingling Liu, Lixing Chen, Xiu Su, Tao Sun, Fan Wu, Zhe Qu
Main Conference Track
Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis Yunwei Ren, Jason D. Lee
Main Conference Track
Seg-VAR:Image Segmentation with Visual Autoregressive Modeling Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Hengshuang Zhao
Main Conference Track
FlexOLMo: Open Language Models for Flexible Data Use Weijia Shi, Akshita Bhagia, Kevin Farhat, Niklas Muennighoff, Jacob Morrison, Evan Pete Walsh, Dustin Schwenk, Shayne Longpre, Jake Poznanski, Allyson Ettinger, Daogao Liu, Margaret Li, Mike Lewis, Scott Yih, Dirk Groeneveld, Luca Soldaini, Kyle Lo, Noah A. Smith, Luke Zettlemoyer, Pang Wei W Koh, Hanna Hajishirzi, Ali Farhadi, Sewon Min
Main Conference Track
Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting Yiren Lu, Yunlai Zhou, Yiran Qiao, Chaoda Song, Tuo Liang, Jing Ma, Huan Wang, Yu Yin
Main Conference Track
ML4CFD Competition: Results and Retrospective Analysis Mouadh Yagoubi, David Danan, Milad LEYLI ABADI, Jocelyn Mazari, Jean-Patrick Brunet, Abbas Kabalan, Fabien Casenave, Yuxin Ma, Giovanni Catalani, Jean Fesquet, Jacob Helwig, Xuan Zhang, Haiyang Yu, Xavier BERTRAND, Frédéric TOST, Michaël Bauerheim, Joseph Morlier, Shuiwang Ji
Datasets and Benchmarks Track
Fused View-Time Attention and Feedforward Reconstruction for 4D Scene Generation Chaoyang Wang, Ashkan Mirzaei, Vidit Goel, Willi Menapace, Aliaksandr Siarohin, Michael Vasilkovsky, Ivan Skorokhodov, Vladislav Shakhrai, Sergei Korolev, Sergey Tulyakov, Peter Wonka
Main Conference Track
What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization Omar Bennouna, Amine Bennouna, Saurabh Amin, Asuman Ozdaglar
Main Conference Track
Sample-Adaptivity Tradeoff in On-Demand Sampling Nika Haghtalab, Omar Montasser, Mingda Qiao
Main Conference Track
Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding Seong Hyeon Park, Jinwoo Shin
Main Conference Track
SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography Nima Hadidi, Jason Chan, Ebrahim Feghhi, Jonathan C. Kao
Main Conference Track
Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities Jiayi Kuang, Haojing Huang, Yinghui Li, Xinnian Liang, Zhikun Xu, Yangning Li, Xiaoyu Tan, Chao Qu, Meishan Zhang, Ying Shen, Philip S Yu
Main Conference Track
Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres Walid Durani, Collin Leiber, Khalid Durani, Claudia Plant, Christian Böhm
Main Conference Track
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon, MoonJeong Park, Jungseul Ok, Dongwoo Kim
Main Conference Track
iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning Manyi Yao, Bingbing Zhuang, Sparsh Garg, Amit K. Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker, Abhishek Aich
Main Conference Track
EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction Hsi-Che Lin, Yu-Chu Yu, Kai-Po Chang, Frank Wang
Main Conference Track
NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data Azadeh Motamedi, Jae-Mo Kang, Il-Min Kim
Main Conference Track
Language Models can Self-Improve at State-Value Estimation for Better Search Ethan Mendes, Alan Ritter
Main Conference Track
A Unified Approach to Submodular Maximization Under Noise Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin
Main Conference Track
AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference CHE WANG, Ziqi Zhang, Yinggui Wang, Tiantong Wang, Yurong Hao, Jianbo Gao, Tao Wei, Yang Cao, Zhong Chen, Wei Yang Bryan Lim
Main Conference Track
Establishing Best Practices in Building Rigorous Agentic Benchmarks Error
Datasets and Benchmarks Track
Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models Xinran Wang, Jin Du, Azal Khan, qi le, Enmao Diao, Jiawei Zhou, Jie Ding, Ali Anwar
Main Conference Track
Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models Taha Entesari, Arman Hatami, Rinat Khaziev, Anil Ramakrishna, Mahyar Fazlyab
Main Conference Track
Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation Qihe Huang, Zhengyang Zhou, Yangze Li, Kuo Yang, Binwu Wang, Yang Wang
Main Conference Track
DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series Yifan WANG, Hongfeng Ai, ruiqi li, Maowei Jiang, Quangao Liu, Jiahua Dong, ruiyuan kang, Alan Liang, Zihang Wang, ruikai liu, Cheng Jiang, Chenzhong Li
Main Conference Track
Network two-sample test for block models Chung Kyong Nguen, Arash Amini, OSCAR HERNAN MADRID PADILLA
Main Conference Track
OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model Zhenhao Zhang, Ye Shi, Lingxiao Yang, Suting Ni, Qi Ye, Jingya Wang
Main Conference Track
Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking Changlun Li, Yao SHI, Chen Wang, Qiqi Duan, Runke RUAN, Weijie Huang, Haonan Long, Lijun Huang, Nan Tang, Yuyu Luo
Datasets and Benchmarks Track
Diffusion Models Meet Contextual Bandits Imad Aouali
Main Conference Track
Computable universal online learning Dariusz Kalociński, Tomasz Steifer
Main Conference Track
Machine Unlearning via Task Simplex Arithmetic Junhao Dong, Hao Zhu, Yifei Zhang, Xinghua Qu, Yew Soon Ong, Piotr Koniusz
Main Conference Track
Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang
Main Conference Track
Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models Wei Chen, Xin Yan, Bin Wen, Fan Yang, Tingting Gao, Di ZHANG, Long Chen
Main Conference Track
Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva, Marina Höhne, Alexander Warnecke, Lukas Pirch, Klaus-Robert Müller, Konrad Rieck, Sebastian Lapuschkin, Kirill Bykov
Main Conference Track
Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones Parsa Mirtaheri, Ezra Edelman, Samy Jelassi, Eran Malach, Enric Boix-Adserà
Main Conference Track
Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making Larkin Liu, Jalal Etesami
Main Conference Track
Differentiable Decision Tree via "ReLU+Argmin" Reformulation Qiangqiang Mao, Jiayang Ren, Yixiu Wang, Chenxuanyin Zou, Jingjing Zheng, Yankai Cao
Main Conference Track
CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming Error
Datasets and Benchmarks Track
Understanding Prompt Tuning and In-Context Learning via Meta-Learning Tim Genewein, Kevin Li, Jordi Grau-Moya, Anian Ruoss, Laurent Orseau, Marcus Hutter
Main Conference Track
Emergence and Evolution of Interpretable Concepts in Diffusion Models Berk Tinaz, Zalan Fabian, Mahdi Soltanolkotabi
Main Conference Track
Provably Efficient Online RLHF with One-Pass Reward Modeling Long-Fei Li, Yu-Yang Qian, Peng Zhao, Zhi-Hua Zhou
Main Conference Track
Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings Yanru Wu, Jianning Wang, Xiangyu Chen, Aurora, Yang Tan, Hanbing Liu, Yang Li
Main Conference Track
CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization Yichen Yan, Ming Zhong, Qi Zhu, Xiaoling Gu, Jinpeng Chen, Huan Li
Main Conference Track
Provable Scaling Laws for the Test-Time Compute of Large Language Models Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
Main Conference Track
HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup Kaixuan Yao, Zhuo Li, Jianqing Liang, Jiye Liang, Ming Li, Feilong Cao
Main Conference Track
PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization Federico Berto, Chuanbo Hua, Laurin Luttmann, Jiwoo Son, Junyoung Park, Kyuree Ahn, Changhyun Kwon, Lin Xie, Jinkyoo Park
Main Conference Track
BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity Lucine L Oganesian, Saba Hashemi, Maryam M. Shanechi
Main Conference Track
BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation Rishal Aggarwal, Jacky Chen, Nicholas Boffi, David Koes
Main Conference Track
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying
Main Conference Track
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Xun Huang, Zhengqi Li, Guande He, Mingyuan Zhou, Eli Shechtman
Main Conference Track
OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction Juntong Wang, Xiyuan Wang, Muhan Zhang
Main Conference Track
To Think or Not To Think: A Study of Thinking in Rule-Based Visual Reinforcement Fine-Tuning Ming Li, Jike Zhong, Shitian Zhao, Yuxiang Lai, Haoquan Zhang, Wang Bill Zhu, Kaipeng Zhang
Main Conference Track
Improving the Straight-Through Estimator with Zeroth-Order Information Ningfeng Yang, Tor Aamodt
Main Conference Track
IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector Zheng CHEN, Yushi Feng, Jisheng Dang, Changyang He, Yue Deng, Hongxi Pu, Haoxuan Li, Bo Li
Main Conference Track
Measuring and Guiding Monosemanticity Ruben Härle, Felix Friedrich, Manuel Brack, Björn Deiseroth, Stephan Waeldchen, Patrick Schramowski, Kristian Kersting
Main Conference Track
ContextAgent: Context-Aware Proactive LLM Agents with Open-world Sensory Perceptions Bufang Yang, Lilin Xu, Liekang Zeng, Kaiwei Liu, Siyang Jiang, Wenrui Lu, Hongkai Chen, Xiaofan Jiang, Guoliang Xing, Zhenyu Yan
Main Conference Track
Beyond Last-Click: An Optimal Mechanism for Ad Attribution Nan An, Weian Li, Qi Qi, Changyuan Yu, Liang Zhang
Main Conference Track
Two Causally Related Needles in a Video Haystack Error
Datasets and Benchmarks Track
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon, Jae W. Lee, Sangdoo Yun, Hyun Oh Song
Main Conference Track
DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding Yunhai Hu, Tianhua Xia, Zining Liu, Rahul Raman, Xingyu Liu, BO BAO, Eric Sather, Vithursan Thangarasa, Sai Qian Zhang
Main Conference Track
Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization Hao Zheng, Jingjun Yi, Qi Bi, Huimin Huang, Haolan Zhan, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng
Main Conference Track
Learning to Better Search with Language Models via Guided Reinforced Self-Training Seungyong Moon, Bumsoo Park, Hyun Oh Song
Main Conference Track
Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time Daniel D. Richman, Jessica Karaguesian, Carl-Mikael Suomivuori, Ron Dror
Main Conference Track
Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model Runheng Liu, Heyan Huang, Xingchen Xiao, Zhijing Wu
Main Conference Track
ReSim: Reliable World Simulation for Autonomous Driving Jiazhi Yang, Kashyap Chitta, Shenyuan Gao, Long Chen, Yuqian Shao, Xiaosong Jia, Hongyang Li, Andreas Geiger, Xiangyu Yue, Li Chen
Main Conference Track
Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization Connor Dunlop, Matthew Zheng, Kavana Venkatesh, Pinar Yanardag
Main Conference Track
Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits Areeb Ahmad, Abhinav Joshi, Ashutosh Modi
Main Conference Track
FlySearch: Exploring how vision-language models explore Error
Datasets and Benchmarks Track
StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations Yanjie Li, Wenxuan Zhang, Xinqi Lyu, Yihao LIU, Bin Xiao
Main Conference Track
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Yusuf Dalva, Hidir Yesiltepe, Pinar Yanardag
Main Conference Track
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment Kaixun Jiang, Zhaoyu Chen, HaiJing Guo, Jinglun Li, Jiyuan Fu, Pinxue Guo, Hao Tang, Bo Li, Wenqiang Zhang
Main Conference Track
PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation Chen Wang, Chuhao Chen, Yiming Huang, Zhiyang Dou, Yuan Liu, Jiatao Gu, Lingjie Liu
Main Conference Track
DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving Hao LU, Tianshuo Xu, Wenzhao Zheng, Yunpeng Zhang, Wei Zhan, Dalong Du, Masayoshi TOMIZUKA, Kurt Keutzer, Yingcong Chen
Main Conference Track
Balancing Multimodal Training Through Game-Theoretic Regularization Konstantinos Kontras, Thomas Strypsteen, Christos Chatzichristos, Paul Liang, Matthew B Blaschko, Maarten De Vos
Main Conference Track
Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism Kunyun Wang, Bohan Li, Kai Yu, Minyi Guo, Jieru Zhao
Main Conference Track
Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension Yongdong Luo, Xiawu Zheng, Guilin Li, Shukang Yin, Haojia Lin, Chaoyou Fu, Jinfa Huang, Jiayi Ji, Fei Chao, Jiebo Luo, Rongrong Ji
Main Conference Track
MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures Elena Zamaraeva, Christopher Collins, George Darling, Matthew S Dyer, Bei Peng, Rahul Savani, Dmytro Antypov, Vladimir Gusev, Judith Clymo, Paul Spirakis, Matthew Rosseinsky
Main Conference Track
Multimodal Causal Reasoning for UAV Object Detection Nianxin Li, Mao Ye, Lihua Zhou, Shuaifeng Li, Song Tang, Luping Ji, Ce Zhu
Main Conference Track
KL Penalty Control via Perturbation for Direct Preference Optimization Sangkyu Lee, Janghoon Han, Hosung Song, Stanley Jungkyu Choi, Honglak Lee, Youngjae Yu
Main Conference Track
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex Muquan Yu, Mu Nan, Hossein Adeli, Jacob Prince, John A. Pyles, Leila Wehbe, Maggie Henderson, Michael J. Tarr, Andrew Luo
Main Conference Track
Privacy Reasoning in Ambiguous Contexts Ren Yi, Octavian Suciu, Adrian Gascon, Sarah Meiklejohn, Eugene Bagdasarian, Marco Gruteser
Main Conference Track
PASS: Path-selective State Space Model for Event-based Recognition Jiazhou Zhou, Kanghao Chen, Lei Zhang, Lin Wang
Main Conference Track
STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Shao Zhang, bo xu, Lei Han, Ying Wen, Yaodong Yang
Main Conference Track
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning Zhifang Zhang, Shuo He, Haobo Wang, Bingquan Shen, Lei Feng
Main Conference Track
Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification Davide Maran, Csaba Szepesvari
Main Conference Track
Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings Qiong Wu, Wenhao Lin, Yiyi Zhou, Weihao Ye, Zhanpeng Zeng, Xiaoshuai Sun, Rongrong Ji
Main Conference Track
Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws Zhixuan Pan, Shaowen Wang, Liao Pengfei, Jian Li
Main Conference Track
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process Tsai Hor Chan, Feng Wu, Yihang Chen, Guosheng Yin, Lequan Yu
Main Conference Track
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective Sifan Wang, Ananyae bhartari, Bowen Li, Paris Perdikaris
Main Conference Track
On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation Liyao Tang, Zhe Chen, Dacheng Tao
Main Conference Track
GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data Lubin Bai, Xiuyuan Zhang, Siqi Zhang, Zepeng Zhang, Haoyu Wang, Wei Qin, Shihong Du
Main Conference Track
Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy Xiang Li, Chendi Wang, Buxin Su, Qi Long, Weijie Su
Main Conference Track
Dense Backpropagation Improves Training for Sparse Mixture-of-Experts Ashwinee Panda, Vatsal Baherwani, Zain Sarwar, Benjamin Thérien, Sambit Sahu, Tom Goldstein, Supriyo Chakraborty
Main Conference Track
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Jiashuo Sun, Xianrui Zhong, Sizhe Zhou, Jiawei Han
Main Conference Track
Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling Wanpeng Zhang, Yuhao Fang, Xihang Qiu, Jiarong Cheng, Jialong Hong, Bin Zhai, Qing Zhou, Yao Lu, Ye Zhang, Chun Li
Main Conference Track
Improving Regret Approximation for Unsupervised Dynamic Environment Generation Harry Mead, Bruno Lacerda, Jakob Foerster, Nick Hawes
Main Conference Track
Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning Hossein Rajoli Nowdeh, Jie Ji, Xiaolong Ma, Fatemeh Afghah
Main Conference Track
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration Hebaixu Wang, Jing Zhang, Haonan Guo, Di Wang, Jiayi Ma, Bo Du
Main Conference Track
Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward Dipendra Misra, Aldo Pacchiano, Ta-Chung Chi, Ge Gao
Main Conference Track
Sampling 3D Molecular Conformers with Diffusion Transformers J. Thorben Frank, Winfried Ripken, Gregor Lied, Klaus-Robert Müller, Oliver Unke, Stefan Chmiela
Main Conference Track
Promptable 3-D Object Localization with Latent Diffusion Models Cheng-Yao Hong, Li-Heng Wang, Tyng-Luh Liu
Main Conference Track
Rectified Point Flow: Generic Point Cloud Pose Estimation Tao Sun, Liyuan Zhu, Shengyu Huang, Shuran Song, Iro Armeni
Main Conference Track
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space Zhen Zhang, Xuehai He, Weixiang Yan, Ao Shen, Chenyang Zhao, Xin Wang
Main Conference Track
Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL Matthew Zurek, Guy Zamir, Yudong Chen
Main Conference Track
Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation Muhammad Adnan, Nithesh Kurella, Akhil Arunkumar, Prashant Nair
Main Conference Track
Ridge Boosting is Both Robust and Efficient David Bruns-Smith, Zhongming Xie, Avi Feller
Main Conference Track
Parallelization of Non-linear State-Space Models: Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling Mónika Farsang, Radu Grosu
Main Conference Track
UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation Xiaoqi Zhao, Youwei Pang, Chenyang Yu, Lihe Zhang, Huchuan Lu, Shijian Lu, Georges Fakhri, Xiaofeng Liu
Main Conference Track
LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation Subhojyoti Khastagir, KISHALAY DAS, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, niloy ganguly
Main Conference Track
From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning Junsoo Oh, Jerry Song, Chulhee Yun
Main Conference Track
Generalizable Insights for Graph Transformers in Theory and Practice Timo Stoll, Luis Müller, Christopher Morris
Main Conference Track
Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning Yang Chen, Yirun Zhou, Weizhong Zhang, Cheng Jin
Main Conference Track
PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation Yanlong Chen, Mattia Orlandi, Pierangelo Rapa, Simone Benatti, Luca Benini, Yawei Li
Main Conference Track
PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts Zeman Li, Yuan Deng, Peilin Zhong, Meisam Razaviyayn, Vahab Mirrokni
Main Conference Track
In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation Frank Cole, Yuxuan Zhao, Yulong Lu, Tianhao Zhang
Main Conference Track
Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation Lin Li, Chuhan ZHANG, Dong Zhang, Chong Sun, Chen Li, Long Chen
Main Conference Track
QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code Hainan Fang, Yuanbo Wen, Jun Bi, Yihan Wang, Tonghui He, Yanlin Tang, Di Huang, Jiaming Guo, Rui Zhang, Qi Guo, Yunji Chen
Main Conference Track
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning Dong Bok Lee, Aoxuan Zhang, Byungjoo Kim, Junhyeon Park, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Hae Beom Lee
Main Conference Track
TRAP: Targeted Redirecting of Agentic Preferences Hangoo Kang, Jehyeok Yeon, Gagandeep Singh
Main Conference Track
Online robust locally differentially private learning for nonparametric regression Chenfei Gu, Qiangqiang Zhang, Ting Li, Jinhan Xie, Niansheng Tang
Main Conference Track
Thinking vs. Doing: Improving Agent Reasoning by Scaling Test-Time Interaction Junhong Shen, Hao Bai, Lunjun Zhang, Yifei Zhou, Amrith Setlur, Peter Tong, Diego Caples, Nan Jiang, Tong Zhang, Ameet S Talwalkar, Aviral Kumar
Main Conference Track
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing Guozhen Zhu, Yuqian Hu, Weihang Gao, Wei-Hsiang Wang, Beibei Wang, K. Liu
Datasets and Benchmarks Track
Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model Guanlue Li, Xufeng Zhao, Fang Wu, Sören Laue
Main Conference Track
Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining Weiyi Wang, Junwei Deng, Yuzheng Hu, Shiyuan Zhang, Xirui Jiang, Runting Zhang, Han Zhao, Jiaqi Ma
Main Conference Track
Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors Wen Dong
Main Conference Track
Optimal Graph Clustering without Edge Density Signals Maximilien Dreveton, Elaine Liu, Matthias Grossglauser, Patrick Thiran
Main Conference Track
Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference Jiayi Yuan, Hao Li, Xinheng Ding, Wenya Xie, Yu-Jhe Li, Wentian Zhao, Kun Wan, Jing Shi, Xia Hu, Zirui Liu
Main Conference Track
AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration Andy Zhou, Kevin Wu, Francesco Pinto, Zhaorun Chen, Yi Zeng, Yu Yang, Shuang Yang, Sanmi Koyejo, James Y Zou, Bo Li
Main Conference Track
Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning Félix Lefebvre, Gael Varoquaux
Main Conference Track
3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks Xiaotang Gai, Jiaxiang Liu, Yichen Li, Zijie Meng, Jian Wu, Zuozhu Liu
Datasets and Benchmarks Track
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation Yibo Wang, Tiansheng Huang, Li Shen, Huanjin Yao, Haotian Luo, Rui Liu, Naiqiang Tan, Jiaxing Huang, Dacheng Tao
Main Conference Track
Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration Yuyang Hu, Kangfu Mei, Mojtaba Sahraee-Ardakan, Ulugbek Kamilov, Peyman Milanfar, Mauricio Delbracio
Main Conference Track
MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural Learning Mircea Lică, Ojas Shirekar, Baptiste Colle, Chirag Raman
Main Conference Track
InfinityStar: Uniﬁed Spacetime AutoRegressive Modeling for Visual Generation Jinlai Liu, Jian Han, Bin Yan, Hui Wu, Fengda Zhu, Xing Wang, Yi Jiang, BINGYUE PENG, Zehuan Yuan
Main Conference Track
4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos Mengqi Guo, Bo Xu, Yanyan Li, Gim Hee Lee
Main Conference Track
Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes Peter Ochieng
Main Conference Track
Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective Haifeng Zhao, Haiyang Li, Lei-Lei Ma, Dengdi Sun
Main Conference Track
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades Yanan Li, Fanxu Meng, Muhan Zhang, Shiai Zhu, Shangguang Wang, Mengwei Xu
Main Conference Track
Pre-Trained Policy Discriminators are General Reward Models Shihan Dou, Shichun Liu, Yuming Yang, Yicheng Zou, Yunhua Zhou, Shuhao Xing, Chenhao Huang, Qiming Ge, haijun Lv, Demin Song, Songyang Gao, Chengqi Lyu, Enyu Zhou, Honglin Guo, Zhiheng Xi, Qipeng Guo, Wenwei Zhang, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Kai Chen
Main Conference Track
AI Debate Aids Assessment of Controversial Claims Salman Rahman, Sheriff Issaka, Ashima Suvarna, Genglin Liu, James Shiffer, Jaeyoung Lee, Md Rizwan Parvez, Hamid Palangi, Shi Feng, Nanyun Peng, Yejin Choi, Julian Michael, Liwei Jiang, Saadia Gabriel
Main Conference Track
DeepASA: An Object-Oriented Multi-Purpose Network for Auditory Scene Analysis Dongheon Lee, Younghoo Kwon, Jung-Woo Choi
Main Conference Track
When and how can inexact generative models still sample from the data manifold? Nisha Chandramoorthy, Adriaan de Clercq
Main Conference Track
Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models Benjamin Walker, Lingyi Yang, Nicola Muca Cirone, Cristopher Salvi, Terry Lyons
Main Conference Track
Confidence-Aware With Prototype Alignment for Partial Multi-label Learning Weijun Lv, Yu Chen, Xiaozhao Fang, Xuhuan Zhu, Jie Wen, Guoxu Zhou, Sixian Chan
Main Conference Track
Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion models Error
Datasets and Benchmarks Track
A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study Yuanchao Dai, Zhengzhang Hou, Changchun Li, Yuanbo Xu, En Wang, Ximing Li
Main Conference Track
Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data Tianyi Chen, Pengxiao Lin, Zhiwei Wang, Zhi-Qin John Xu
Main Conference Track
Fix False Transparency by Noise Guided Splatting Aly El Hakie, Yiren Lu, Yu Yin, Michael Jenkins, Yehe Liu
Main Conference Track
Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt, Leo Ardon, Sumitra Ganesh, Alec Koppel
Main Conference Track
MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning? Error
Datasets and Benchmarks Track
Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms Philippe Wyder, Judah Goldfeder, Alexey Yermakov, Yue Zhao, Stefano Riva, Jan Williams, David Zoro, Amy Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles Cranmer, Nathan Kutz
Datasets and Benchmarks Track
From Black-box to Causal-box: Towards Building More Interpretable Models Inwoo Hwang, Yushu Pan, Elias Bareinboim
Main Conference Track
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Peterson, Terry Guo, Nigam H. Shah, Curtis Langlotz, Andrew Ng, Jeanne Shen
Datasets and Benchmarks Track
Sharp Matrix Empirical Bernstein Inequalities Hongjian Wang, Aaditya Ramdas
Main Conference Track
Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection Litao Li, Leo Song, Steven Ding, Benjamin C. M. Fung, Philippe Charland
Main Conference Track
Prohibiting Generative AI in any Form of Weapon Control Error
Position Paper Track
HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction Error
Datasets and Benchmarks Track
Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Main Conference Track
Irrational Complex Rotations Empower Low-bit Optimizers Zhen Tian, Xin Zhao, Ji-Rong Wen
Main Conference Track
Robustness in Both Domains: CLIP Needs a Robust Text Encoder Elias Abad Rocamora, Christian Schlarmann, Naman Deep Singh, Yongtao Wu, Matthias Hein, Volkan Cevher
Main Conference Track
A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation Yang Peng, Kaicheng Jin, Liangyu Zhang, Zhihua Zhang
Main Conference Track
Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention Shuang Wu, Youtian Lin, Feihu Zhang, Yifei Zeng, Yikang Yang, yajie bao, Jiachen Qian, Siyu Zhu, Xun Cao, Philip H.S. Torr, Yao Yao
Main Conference Track
Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention Arya Honarpisheh, Mustafa Bozdag, Octavia Camps, Mario Sznaier
Main Conference Track
Provable Watermarking for Data Poisoning Attacks Yifan Zhu, Lijia Yu, Xiao-Shan Gao
Main Conference Track
MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation Kerui Ren, Jiayang Bai, Linning Xu, Lihan Jiang, Jiangmiao Pang, Mulin Yu, Bo Dai
Main Conference Track
High Resolution UDF Meshing via Iterative Networks Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua
Main Conference Track
Dimensional Collapse in VQVAEs: Evidence and Remedies Jiayou Zhang, Yifan Shen, Guangyi Chen, Le Song, Eric P Xing
Main Conference Track
HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models Han Liu, Jiaqi Li, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Fenglong Ma, Yuanman Li, Hong Yu
Main Conference Track
Coupling Generative Modeling and an Autoencoder with the Causal Bridge Ruolin Meng, Ming-Yu Chung, Dhanajit Brahma, Ricardo Henao, Lawrence Carin
Main Conference Track
Improving Deep Learning for Accelerated MRI With Data Filtering Kang Lin, Anselm Krainovic, Kun Wang, Reinhard Heckel
Datasets and Benchmarks Track
DeltaFormer: Unlock the state space of Transformer Mingyu Xu, Tenglong Ao, Jiaao He, Jianqiao Lu, Guang Shi, Mingwu Zheng
Main Conference Track
GLNCD: Graph-Level Novel Category Discovery Bowen Deng, Lele Fu, Sheng Huang, Tianchi Liao, Jialong Chen, Zhang Tao, Chuan Chen
Main Conference Track
Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models Dilxat Muhtar, Enzhuo Zhang, Zhenshi Li, Feng Gu, Yanglangxing He, Pengfeng Xiao, Xueliang Zhang
Main Conference Track
Activity Pruning for Efficient Spiking Neural Networks Tong Bu, Xinyu Shi, Zhaofei Yu
Main Conference Track
Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles Peng Wang, Xiang Liu, Peidong Liu
Main Conference Track
Leveraging robust optimization for llm alignment under distribution shifts Mingye Zhu, Yi Liu, Zheren Fu, Yongdong Zhang, Zhendong Mao
Main Conference Track
Continual Optimization with Symmetry Teleportation for Multi-Task Learning Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu, Peilin Zhao, Chunyan Miao
Main Conference Track
Language Modeling by Language Models Junyan Cheng, Peter Clark, Kyle Richardson
Main Conference Track
CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation Kavana Venkatesh, Connor Dunlop, Pinar Yanardag
Main Conference Track
Coarse-to-Fine 3D Part Assembly via Semantic Super-Parts and Symmetry-Aware Pose Estimation Xinyi Zhang, Bingyang Wei, Ruixuan Yu, Jian Sun
Main Conference Track
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference Álvaro Parafita, Tomas Garriga, Axel Brando, Francisco Cazorla
Main Conference Track
Neural Evolution Strategy for Black-box Pareto Set Learning Chengyu Lu, Zhenhua Li, Xi Lin, Ji Cheng, Qingfu Zhang
Main Conference Track
Exploring Landscapes for Better Minima along Valleys Tong Zhao, Jiacheng Li, Yuanchang Zhou, Guangming Tan, Weile Jia
Main Conference Track
Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning Tianxing Wu, Shutong Zhu, Jingting Wang, Ning Xu, Guilin Qi, Haofen Wang
Main Conference Track
Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints Ling Zhan, Junjie Huang, Xiaoyao Yu, Wenyu Chen, Tao Jia
Main Conference Track
Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning Wenyi Xiao, Leilei Gan
Main Conference Track
DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models Ziyi Wu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Ashkan Mirzaei, Igor Gilitschenski, Sergey Tulyakov, Aliaksandr Siarohin
Main Conference Track
Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds Fan Wang, Pengtao Shao, Yiming Zhang, Bo Yu, Shaoshan Liu, Ning Ding, Yang Cao, Yu Kang, Haifeng Wang
Main Conference Track
When One Moment Isn't Enough: Multi-Moment Retrieval with Cross-Moment Interactions Zhuo Cao, Heming Du, Bingqing Zhang, Xin Yu, Xue Li, Sen Wang
Main Conference Track
BlockDecoder: Boosting ASR Decoders with Context and Merger Modules Darshan Prabhu, Preethi Jyothi
Main Conference Track
Efficient Adaptive Federated Optimization Su Hyeong Lee, Sidharth Sharma, Manzil Zaheer, Tian Li
Main Conference Track
A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers Zhixiao Wu, Yao Lu, Jie Wen, Hao Sun, Qi Zhou, Guangming Lu
Main Conference Track
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, Shiqi Wang
Main Conference Track
Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning Lifan Zhao, Yanyan Shen, Zhaoyang Liu, xue wang, Jiaji Deng
Main Conference Track
VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information Zecheng Wang, Chunshan Li, Yupeng Zhang, Han Liu, Bingning Wang, Dianhui Chu, Dianbo Sui
Main Conference Track
On Linear Mode Connectivity of Mixture-of-Experts Architectures Viet-Hoang Tran, Van Hoan Trinh, Khanh-Vinh Bui, Tan M. Nguyen
Main Conference Track
DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution Rongyuan Wu, Lingchen Sun, Zhengqiang ZHANG, Shihao Wang, Tianhe Wu, Qiaosi Yi, Shuai Li, Lei Zhang
Main Conference Track
Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders Mengyu Ye, Jun Suzuki, Tatsuro Inaba, Tatsuki Kuribayashi
Main Conference Track
BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems Andy Zhang, Joey Ji, Celeste Menders, Riya Dulepet, Thomas Qin, Ron Wang, Junrong Wu, Kyleen Liao, Jiliang Li, Jinghan Hu, Sara Hong, Nardos Demilew, Shivatmica Murgai, Jason Tran, Nishka Kacheria, Ethan Ho, Denis Liu, Lauren McLane, Olivia Bruvik, Dai-Rong Han, Seungwoo Kim, Akhil Vyas, Cuiyuanxiu Chen, Ryan Li, Weiran Xu, Jonathan Ye, Prerit Choudhary, Siddharth M. Bhatia, Vikram Sivashankar, Yuxuan Bao, Dawn Song, Dan Boneh, Daniel Ho, Percy Liang
Datasets and Benchmarks Track
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields Alan Arazi, Eilam Shapira, Roi Reichart
Main Conference Track
RAPTR: Radar-based 3D Pose Estimation using Transformer Sorachi Kato, Ryoma Yataka, Pu (Perry) Wang, Pedro Miraldo, Takuya Fujihashi, Petros Boufounos
Main Conference Track
OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales Tung Nguyen, Tuan Pham, Troy Arcomano, Rao Kotamarthi, Ian Foster, Sandeep Madireddy, Aditya Grover
Main Conference Track
AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions Error
Datasets and Benchmarks Track
RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization Dongki Jung, Jaehoon Choi, Yonghan Lee, Dinesh Manocha
Main Conference Track
A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking Gal Fadlon, Idan Arbiv, Nimrod Berman, Omri Azencot
Main Conference Track
FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration Luxi Chen, Zihan Zhou, Min Zhao, Yikai Wang, Ge Zhang, Wenhao Huang, Hao Sun, Ji-Rong Wen, Chongxuan LI
Main Conference Track
On the Hardness of Conditional Independence Testing In Practice Zheng He, Roman Pogodin, Yazhe Li, Namrata Deka, Arthur Gretton, Danica J. Sutherland
Main Conference Track
On the Universal Near Optimality of Hedge in Combinatorial Settings Zhiyuan Fan, Arnab Maiti, Lillian J. Ratliff, Kevin G. Jamieson, Gabriele Farina
Main Conference Track
Graph Neural Network Based Action Ranking for Planning Rajesh Mangannavar, Stefan Lee, Alan Fern, Prasad Tadepalli
Main Conference Track
Toward Human Deictic Gesture Target Estimation Xu Cao, Pranav Virupaksha, Sangmin Lee, Bolin Lai, Wenqi Jia, Jintai Chen, James M. Rehg
Main Conference Track
Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs Shih-Hsin Wang, Yuhao Huang, Taos Transue, Justin Baker, Jonathan Forstater, Thomas Strohmer, Bao Wang
Main Conference Track
Scaling Speculative Decoding with Lookahead Reasoning Yichao Fu, Rui Ge, Zelei Shao, Zhijie Deng, Hao Helen Zhang
Main Conference Track
Is Artificial Intelligence Generated Image Detection a Solved Problem? Error
Datasets and Benchmarks Track
SmartCache: Context-aware Semantic Cache for Efficient Multi-turn LLM Inference Chengye Yu, Tianyu Wang, Zili Shao, Song Jiang
Main Conference Track
A machine learning approach that beats Rubik's cubes Alexander Chervov, Kirill Khoruzhii, Nikita Bukhal, Jalal Naghiyev, Vladislav Zamkovoy, Ivan Koltsov, Lyudmila Cheldieva, Arsenii Sychev, Arsenii Lenin, Mark Obozov, Egor Urvanov, Alexey Romanov
Main Conference Track
RF-Agent: Automated Reward Function Design via Language Agent Tree Search Ning Gao, Xiuhui Zhang, Xingyu Jiang, Mukang You, Mohan Zhang, Yue Deng
Main Conference Track
On the Relation between Rectified Flows and Optimal Transport Johannes Hertrich, Antonin Chambolle, Julie Delon
Main Conference Track
Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation Dongnan Gui, Xun Guo, Wengang Zhou, Yan Lu
Main Conference Track
Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration Wenju Sun, Qingyong Li, Wen Wang, Yang Liu, Yangliao Geng, Boyang Li
Main Conference Track
ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests Shiyi Xu, Hu Yiwen, Yingqian Min, Zhipeng Chen, Xin Zhao, Ji-Rong Wen
Datasets and Benchmarks Track
Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Yifu Lu, Mengdi Wang, Dinesh Manocha, Furong Huang, Mohammad Ghavamzadeh, Amrit Singh Bedi
Main Conference Track
TabDPT: Scaling Tabular Foundation Models on Real Data Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Alex Labach, Jesse C. Cresswell, Keyvan Golestan, Guangwei Yu, Anthony L Caterini, Maks Volkovs
Main Conference Track
Enforcing convex constraints in Graph Neural Networks Ahmed Rashwan, Keith Briggs, Chris Budd, Lisa Kreusser
Main Conference Track
Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach Tal Gonen, Itai Pemper, Ilan Naiman, Nimrod Berman, Omri Azencot
Main Conference Track
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation Yash Patel, Eduardo Ochoa Rivera, Ambuj Tewari
Main Conference Track
One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution Yujing Sun, Lingchen Sun, Shuaizheng Liu, Rongyuan Wu, Zhengqiang ZHANG, Lei Zhang
Main Conference Track
Scaling RL to Long Videos Yukang Chen, Wei Huang, Baifeng Shi, Qinghao Hu, Hanrong Ye, Ligeng Zhu, Zhijian Liu, Pavlo Molchanov, Jan Kautz, Xiaojuan Qi, Sifei Liu, Hongxu Yin, Yao Lu, Song Han
Main Conference Track
VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents Kangrui Wang, Pingyue Zhang, Zihan Wang, Yaning Gao, Linjie Li, Qineng Wang, Hanyang Chen, Yiping Lu, Zhengyuan Yang, Lijuan Wang, Ranjay Krishna, Jiajun Wu, Fei-Fei Li, Yejin Choi, Manling Li
Main Conference Track
BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning Hongyi Zhou, Weiran Liao, Xi Huang, Yucheng Tang, Fabian Otto, Xiaogang Jia, Xinkai Jiang, Simon Hilber, Ge Li, Qian Wang, Ömer Yağmurlu, Nils Blank, Moritz Reuss, Rudolf Lioutikov
Main Conference Track
LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation Yang Miao, Jan-Nico Zaech, Xi Wang, Fabien Despinoy, Danda Pani Paudel, Luc V Gool
Main Conference Track
Dynamic Regret Reduces to Kernelized Static Regret Andrew Jacobsen, Alessandro Rudi, Francesco Orabona, Nicolò Cesa-Bianchi
Main Conference Track
PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-forward Planar Splatting Changkun Liu, Bin Tan, Zeran Ke, Shangzhan Zhang, Jiachen Liu, Ming Qian, Nan Xue, Yujun Shen, Tristan Braud
Main Conference Track
VisualLens: Personalization through Task-Agnostic Visual History Wang Bill Zhu, Deqing Fu, Kai Sun, Yi Lu, Zhaojiang Lin, Seungwhan Moon, Kanika Narang, MUSTAFA CANIM, Yue Liu, Anuj Kumar, Xin Dong
Main Conference Track
Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong
Main Conference Track
NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals Shuai Huang, Huan Luo, Haodong Jing, Qixian Zhang, Litao Chang, Yating Feng, Xiao Lin, Chendong Qin, Han Chen, Shuwen Jia, Siyi Sun, Yongxiong Wang
Main Conference Track
Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference Mizuki Niihori, Shuichi Nishino, Teruyuki Katsuoka, Tomohiro Shiraishi, Kouichi Taji, Ichiro Takeuchi
Main Conference Track
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti, Emanuele Marconato, Paolo Morettin, Andrea Passerini, Stefano Teso
Main Conference Track
Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation Jiyang Zheng, Siqi Pan, Yu Yao, Zhaoqing Wang, Dadong Wang, Tongliang Liu
Main Conference Track
Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Angel Bautista, Joshua Susskind, Navdeep Jaitly
Main Conference Track
MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization Rizhen Hu, Yutong He, Ran Yan, Mou Sun, Binhang Yuan, Kun Yuan
Main Conference Track
A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing Alex Clinton, Thomas Zeng, Yiding Chen, Xiaojin Zhu, Kirthevasan Kandasamy
Main Conference Track
MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation Chenhui Zhu, Yilu Wu, Shuai Wang, Gangshan Wu, Limin Wang
Main Conference Track
AutoData: A Multi-Agent System for Open Web Data Collection Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Xiaoye Qian, Feifan Bai, Yifan Ding, Xuwei Luo, Shinan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
Main Conference Track
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay Yifan Sun, Jingyan Shen, Yibin Wang, Tianyu Chen, Zhendong Wang, Mingyuan Zhou, Huan Zhang
Main Conference Track
SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction Chensheng Dai, Shengjun Zhang, Min Chen, Yueqi Duan
Main Conference Track
Online Locally Differentially Private Conformal Prediction via Binary Inquiries Qiangqiang Zhang, Chenfei Gu, Xinwei Feng, Jinhan Xie, Ting Li
Main Conference Track
Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates Shivani Agarwal
Main Conference Track
SD-KDE: Score-Debiased Kernel Density Estimation Elliot Epstein, Rajat Vadiraj Dwaraknath, Thanawat Sornwanee, John Winnicki, Jerry Liu
Main Conference Track
CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D Francis Ward, Teun van der Weij, Hanna Gábor, Sam Martin, Raja Moreno, Harel Lidar, Louis Makower, Thomas Jodrell, Lauren Robson
Main Conference Track
Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency Van-Anh Nguyen, Trung Le, Mehrtash Harandi, Ehsan Abbasnejad, Thanh-Toan Do, Dinh Phung
Main Conference Track
Scaling Up Active Testing to Large Language Models Gabrielle Berrada, Jannik Kossen, Freddie Bickford Smith, Muhammed Razzak, Yarin Gal, Thomas Rainforth
Main Conference Track
Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge Boyu Gou, Zanming Huang, Yuting Ning, Yu Gu, Michael Lin, Weijian Qi, Andrei Kopanev, Botao Yu, Bernal Jimenez Gutierrez, Yiheng Shu, Chan Hee (Luke) Song, Jiaman Wu, Shijie Chen, Hanane Moussa, TIANSHU ZHANG, Jian Xie, Yifei Li, Tianci Xue, Zeyi Liao, Kai Zhang, Boyuan Zheng, Zhaowei Cai, Viktor Rozgic, Morteza Ziyadi, Huan Sun, Yu Su
Datasets and Benchmarks Track
Causal Explanation-Guided Learning for Organ Allocation Alessandro Marchese, Jeroen Berrevoets, Sam Verboven
Main Conference Track
Structured Reinforcement Learning for Combinatorial Decision-Making Heiko Hoppe, Léo Baty, Louis Bouvier, Axel Parmentier, Maximilian Schiffer
Main Conference Track
Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
Main Conference Track
Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings Raphaël Pellegrin, Lukas Fesser, Melanie Weber
Main Conference Track
VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment Qing Li, Huifang Feng, Xun Gong, Yu-Shen Liu
Main Conference Track
Discovering Opinion Intervals from Conflicts in Signed Graphs Peter Blohm, Florian Chen, Aristides Gionis, Stefan Neumann
Main Conference Track
3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs Mehdi Makni, Xiang Meng, Rahul Mazumder
Main Conference Track
Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems Utkarsh Chavan, Prashant Trivedi, Nandyala Hemachandra
Main Conference Track
Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes Guangting Yu, Shiwei Lan
Main Conference Track
Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models Xiaowen Cai, Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Keke Tang, Pan Zhou, Lichao Sun, Wei Hu
Main Conference Track
Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders Jiahui Zhang, Wenjie Du, Yang Wang
Main Conference Track
A Stable Whitening Optimizer for Efficient Neural Network Training Kevin Frans, Sergey Levine, Pieter Abbeel
Main Conference Track
Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing Xiangyu Zhao, Peiyuan Zhang, Kexian Tang, Xiaorong Zhu, Hao Li, Wenhao Chai, Zicheng Zhang, Renqiu Xia, Guangtao Zhai, Junchi Yan, Hua Yang, Xue Yang, Haodong Duan
Datasets and Benchmarks Track
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders Muralikrishnna Guruswamy Sethuraman, Faramarz Fekri
Main Conference Track
DyFlow: Dynamic Workflow Framework for Agentic Reasoning Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Robert Tang, Yue Zhao, Arman Cohan, Xiangliang Zhang, Xiuying Chen
Main Conference Track
Preference Optimization on Pareto Sets: On a Theory of Multi-Objective Optimization Abhishek Roy, Geelon So, Yian Ma
Main Conference Track
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models Ilgee Hong, Changlong Yu, Liang Qiu, Weixiang Yan, Zhenghao Xu, Haoming Jiang, Qingru Zhang, Qin Lu, Xin Liu, Chao Zhang, Tuo Zhao
Main Conference Track
Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data Tian Gao, Songtao Lu, Junkyu Lee, Elliot Nelson, Debarun Bhattacharjya, Yue Yu, Miao Liu
Main Conference Track
Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution Zhanyi Sun, Shuran Song
Main Conference Track
LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS Wanhua Li, Yujie Zhao, Minghan Qin, Yang Liu, Yuanhao Cai, Chuang Gan, Hanspeter Pfister
Main Conference Track
Minimax Adaptive Online Nonparametric Regression over Besov spaces Paul Liautaud, Pierre Gaillard, Olivier Wintenberger
Main Conference Track
MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting Yumeng He, Yunbo Wang
Main Conference Track
TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Maolaaisha Aminanmu, Tommaso Mansi, Rui Liao, Junzhou Huang
Main Conference Track
PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders Ruixin Guo, Ruoming Jin, Xinyu Li, Yang Zhou
Main Conference Track
Curriculum Abductive Learning Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia, Cunjing Ge, Yu-Feng Li, Yuan Jiang, Zhi-Hua Zhou
Main Conference Track
NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning Wonje Choi, Jooyoung Kim, Honguk Woo
Main Conference Track
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning Peixian Ma, Xialie Zhuang, Chengjin Xu, Xuhui Jiang, Ran Chen, Jian Guo
Main Conference Track
DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering Jiakai Li, Rongzheng Wang, Yizhuo Ma, Shuang Liang, Guangchun Luo, Ke Qin
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Statistical inference for Linear Stochastic Approximation with Markovian Noise Sergey Samsonov, Marina Sheshukova, Eric Moulines, Alexey Naumov
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LoRA vs Full Fine-tuning: An Illusion of Equivalence Reece Shuttleworth, Jacob Andreas, Antonio Torralba, Pratyusha Sharma
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L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias jingxiao zhang, Shifei Ding, Jian Jun Zhang, Lili Guo, Xuan Li
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Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Shuhai Zhang, ZiHao Lian, Jiahao Yang, Daiyuan Li, Guoxuan Pang, Feng Liu, Bo Han, Shutao Li, Mingkui Tan
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Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers Gangwei Xu, Haotong Lin, Hongcheng Luo, Xianqi Wang, JINGFENG YAO, Lianghui Zhu, Yuechuan Pu, Cheng Chi_, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Sida Peng, Xin Yang
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Valid Selection among Conformal Sets Mahmoud Hegazy, Liviu Aolaritei, Michael I Jordan, Aymeric Dieuleveut
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Tight Asymptotics of Extreme Order Statistics Jose Correa, Frederik Mallmann-Trenn, Matias Romero
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Do-PFN: In-Context Learning for Causal Effect Estimation Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Schölkopf
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Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification Duo Zhou, Jorge Chavez, Hesun Chen, Grani A. Hanasusanto, Huan Zhang
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How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime? Wei Huang, Andi Han, Yujin Song, Yilan Chen, Denny Wu, Difan Zou, Taiji Suzuki
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Efficiently Verifiable Proofs of Data Attribution Ari Karchmer, Seth Neel, Martin Pawelczyk
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Optimal Spectral Transitions in High-Dimensional Multi-Index Models Leonardo Defilippis, Yatin Dandi, Pierre Mergny, Florent Krzakala, Bruno Loureiro
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Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning Qitao Tan, Jun Liu, Zheng Zhan, Caiwen Ding, Yanzhi Wang, Xiaolong Ma, Jaewoo Lee, Jin Lu, Geng Yuan
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UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis Thanh-Tung Le, Tuan Pham, Tung Nguyen, Deying Kong, Xiaohui Xie, Stephan Mandt
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Rare Text Semantics Were Always There in Your Diffusion Transformer seil kang, Woojung Han, Dayun Ju, Seong Jae Hwang
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Learning Multi-Source and Robust Representations for Continual Learning Fei Ye, Yongcheng Zhong, Qihe Liu, Adrian G. Bors, Jingling sun, Rongyao Hu, shijie zhou
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