Publications

• Compositional Diversity in Visual Concept Learning (Jan 2024)
  Yanli Zhou, Reuben Feinman, Brenden M. Lake
  Cognition, 244, 105711

• Generative Neuro-Symbolic Models of Concept Learning (Sep 2023)
  Reuben Feinman
  Ph.D. thesis, New York University

• Learning Task-General Representations with Generative Neuro-Symbolic Modeling (Jun 2020)
  Reuben Feinman, Brenden M. Lake
  International Conference on Learning Representations (ICLR 2021)
  Code

• Generating New Concepts with Hybrid Neuro-Symbolic Models (Mar 2020)
  Reuben Feinman, Brenden M. Lake
  In Proceedings of the 42nd Annual Conference of the Cognitive Science Society

• A Linear Systems Theory of Normalizing Flows (Feb 2020)
  Reuben Feinman, Nikhil Parthasarathy
  arXiv preprint arXiv:1907.06496
  Code

• Learning a Smooth Kernel Regularizer for Convolutional Neural Networks (Mar 2019)
  Reuben Feinman, Brenden M. Lake
  In Proceedings of the 41st Annual Conference of the Cognitive Science Society
  Code

• Learning Inductive Biases with Simple Neural Networks (Feb 2018)
  Reuben Feinman, Brenden M. Lake
  In Proceedings of the 40th Annual Conference of the Cognitive Science Society
  Code Poster

• Detecting Adversarial Samples from Artifacts (Mar 2017)
  Reuben Feinman, Ryan R. Curtin, Saurabh Shintre, Andrew B. Gardner
  arXiv preprint arXiv:1703.00410
  Code

• Cleverhans v1.0.0: An Adversarial Machine Learning Library (Dec 2016)
  Nicolas Papernot, Ian Goodfellow, Ryan Sheatsley, Reuben Feinman, Patrick McDaniel
  arXiv preprint arXiv:1610.00768
  Code