NIPS Proceedings
β
Books
Noah Goodman
11 Papers
Bias and Generalization in Deep Generative Models: An Empirical Study
(2018)
Multimodal Generative Models for Scalable Weakly-Supervised Learning
(2018)
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
(2017)
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks
(2016)
Learning and using language via recursive pragmatic reasoning about other agents
(2013)
Learning Stochastic Inverses
(2013)
Burn-in, bias, and the rationality of anchoring
(2012)
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
(2011)
Help or Hinder: Bayesian Models of Social Goal Inference
(2009)
A Bayesian Framework for Cross-Situational Word-Learning
(2007)
Learning and using relational theories
(2007)