Lead Deep Learning Scientist at Common Sense Machines. Previously: PhD student with Brenden Lake at NYU, intern with Yann LeCun at FAIR.
Highlights
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GNS-Modeling
GNS-Modeling PublicGenerative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)
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pytorch-minimize
pytorch-minimize PublicNewton and Quasi-Newton optimization with PyTorch
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detecting-adversarial-samples
detecting-adversarial-samples PublicCode for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
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learning-to-learn
learning-to-learn PublicCode for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
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tictactoe-reinforcement-learning
tictactoe-reinforcement-learning PublicTrain a tic-tac-toe agent using reinforcement learning.
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