Improving out-of-distribution generalization via multi-task self-supervised pretraining. - Isabela Albuquerque; Nikhil Naik 002; Junnan Li 001; Nitish Shirish Keskar; Richard Socher (CoRR, 2020)

ProGen: Language Modeling for Protein Generation. - Ali Madani; Bryan McCann; Nikhil Naik 002; Nitish Shirish Keskar; Namrata Anand; Raphael R. Eguchi; Po-Ssu Huang; Richard Socher (CoRR, 2020)

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies. - Stephan Zheng; Alexander Trott; Sunil Srinivasa; Nikhil Naik 002; Melvin Gruesbeck; David C. Parkes; Richard Socher (CoRR, 2020)

Deep Extrapolation for Attribute-Enhanced Generation. - Alvin Chan; Ali Madani; Ben Krause; Nikhil Naik 002 (NeurIPS, 2021)

Deep learning-enabled medical computer vision. - Andre Esteva; Katherine Chou; Serena Yeung; Nikhil Naik 002; Ali Madani; Ali Mottaghi; Yun Liu 013; Eric J. Topol; Jeff Dean; Richard Socher (npj Digit. Medicine, 2021)

ProGen2: Exploring the Boundaries of Protein Language Models. - Erik Nijkamp; Jeffrey A. Ruffolo; Eli N. Weinstein; Nikhil Naik 002; Ali Madani (CoRR, 2022)

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2022)

Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2023)