NIPS Proceedingsβ

Yair Weiss

21 Papers

  • The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors (2015)
  • Learning the Local Statistics of Optical Flow (2013)
  • Learning about Canonical Views from Internet Image Collections (2012)
  • Natural Images, Gaussian Mixtures and Dead Leaves (2012)
  • Semi-Supervised Learning in Gigantic Image Collections (2009)
  • The 'tree-dependent components' of natural scenes are edge filters (2009)
  • Spectral Hashing (2008)
  • Noise and the two-thirds power Law (2005)
  • Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms (2005)
  • Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence (2003)
  • Finding the M Most Probable Configurations using Loopy Belief Propagation (2003)
  • Information Bottleneck for Gaussian Variables (2003)
  • Pairwise Clustering and Graphical Models (2003)
  • Approximate Inference and Protein-Folding (2002)
  • Learning to Perceive Transparency from the Statistics of Natural Scenes (2002)
  • Maximum Likelihood and the Information Bottleneck (2002)
  • On Spectral Clustering: Analysis and an algorithm (2001)
  • Generalized Belief Propagation (2000)
  • Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology (1999)
  • Phase Transitions and the Perceptual Organization of Video Sequences (1997)
  • Interpreting Images by Propagating Bayesian Beliefs (1996)
  • 2 Books

  • Advances in Neural Information Processing Systems 18 (2005)
  • Advances in Neural Information Processing Systems 17 (2004)