NIPS Proceedingsβ

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)