Reuben Feinman

Newton and Quasi-Newton optimization with PyTorch

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Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)

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Python implementation of Bayesian Program Learning tools (with PyTorch)

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Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)

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Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).

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L1-regularized least squares with PyTorch

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Train a tic-tac-toe agent using reinforcement learning.

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