Detecting Adversarial Samples from Artifacts. - Reuben Feinman; Ryan R. Curtin; Saurabh Shintre; Andrew B. Gardner (CoRR, 2017)

Learning Inductive Biases with Simple Neural Networks. - Reuben Feinman; Brenden M. Lake (CogSci, 2018)

Learning a smooth kernel regularizer for convolutional neural networks. - Reuben Feinman; Brenden M. Lake (CogSci, 2019)

Robust Nonlinear Component Estimation with Tikhonov Regularization. - Reuben Feinman; Nikhil Parthasarathy (CoRR, 2019)

Generating new concepts with hybrid neuro-symbolic models. - Reuben Feinman; Brenden M. Lake (CogSci, 2020)

Learning Task-General Representations with Generative Neuro-Symbolic Modeling. - Reuben Feinman; Brenden M. Lake (ICLR, 2021)

Compositional diversity in visual concept learning. - Yanli Zhou; Reuben Feinman; Brenden M. Lake (CoRR, 2023)