rfeinman
Lead Deep Learning Scientist at Common Sense Machines. Previously: PhD student with Brenden Lake at NYU, intern with Yann LeCun at FAIR.
New York UniversityNew York, NY
Pinned Repositories
binocular-disparity
Computing Binocular Disparity using CNNs and CRFs. TensorFlow backend.
detecting-adversarial-samples
Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
GNS-Modeling
Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)
learning-to-learn
Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
pyBPL
Python implementation of Bayesian Program Learning tools (with PyTorch)
pytorch-lasso
L1-regularized least squares with PyTorch
pytorch-minimize
Newton and Quasi-Newton optimization with PyTorch
SK-regularization
Code for "Learning a smooth kernel regularizer for convolutional neural networks" (Feinman & Lake, 2019)
tictactoe-reinforcement-learning
Train a tic-tac-toe agent using reinforcement learning.
Torch-ARPACK
Fast extremal eigensolvers for PyTorch.
rfeinman's Repositories
rfeinman/pytorch-minimize
Newton and Quasi-Newton optimization with PyTorch
rfeinman/detecting-adversarial-samples
Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
rfeinman/pyBPL
Python implementation of Bayesian Program Learning tools (with PyTorch)
rfeinman/pytorch-lasso
L1-regularized least squares with PyTorch
rfeinman/tictactoe-reinforcement-learning
Train a tic-tac-toe agent using reinforcement learning.
rfeinman/GNS-Modeling
Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)
rfeinman/learning-to-learn
Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
rfeinman/Torch-ARPACK
Fast extremal eigensolvers for PyTorch.
rfeinman/binocular-disparity
Computing Binocular Disparity using CNNs and CRFs. TensorFlow backend.
rfeinman/SK-regularization
Code for "Learning a smooth kernel regularizer for convolutional neural networks" (Feinman & Lake, 2019)
rfeinman/Sketch-RNN
A faithful PyTorch implementation of Sketch-RNN (Ha & Eck, 2017)
rfeinman/cleverhans
A library for benchmarking vulnerability to adversarial examples
rfeinman/rfeinman.github.io
rfeinman/science_rcn
Reference implementation of a two-level RCN model
rfeinman/visual-turing-tests
Javascript code for "visual Turing tests"
rfeinman/zero123plus
Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.