Deep Neural Networks Abstract Like Humans. - Alex Gain; Hava T. Siegelmann (CoRR, 2019)

Abstraction Mechanisms Predict Generalization in Deep Neural Networks. - Alex Gain; Hava T. Siegelmann (ICML, 2020)

Adaptive Neural Connections for Sparsity Learning. - Alex Gain; Prakhar Kaushik; Hava T. Siegelmann (WACV, 2020)

Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping. - Prakhar Kaushik; Alex Gain; Adam Kortylewski; Alan L. Yuille (CoRR, 2021)

Calibrated Recommendations as a Minimum-Cost Flow Problem. - Himan Abdollahpouri; Zahra Nazari; Alex Gain; Clay Gibson; Maria Dimakopoulou; Jesse Anderton; Benjamin A. Carterette; Mounia Lalmas; Tony Jebara (WSDM, 2023)