Some new numeric results concerning the Witsenhausen Counterexample. - Vignesh Subramanian; Laura Brink; Nikunj Jain; Kailas Vodrahalli; Akhil Jalan; Nikhil Shinde; Anant Sahai (Allerton, 2018)

Are All Training Examples Created Equal? An Empirical Study. - Kailas Vodrahalli; Ke Li 011; Jitendra Malik (CoRR, 2018)

Learning to Communicate with Limited Co-design. - Anant Sahai; Joshua Sanz; Vignesh Subramanian; Caryn Tran; Kailas Vodrahalli (Allerton, 2019)

Harmless interpolation of noisy data in regression. - Vidya Muthukumar; Kailas Vodrahalli; Anant Sahai (ISIT, 2019)

Learning to Communicate in a Noisy Environment. - Anant Sahai; Joshua Sanz; Vignesh Subramanian; Caryn Tran; Kailas Vodrahalli (CoRR, 2019)

Serverless linear algebra. - Vaishaal Shankar; Karl Krauth; Kailas Vodrahalli; Qifan Pu; Benjamin Recht; Ion Stoica; Jonathan Ragan-Kelley; Eric Jonas; Shivaram Venkataraman (SoCC, 2020)

Blind Interactive Learning of Modulation Schemes: Multi-Agent Cooperation Without Co-Design. - Anant Sahai; Joshua Sanz; Vignesh Subramanian; Caryn Tran; Kailas Vodrahalli (IEEE Access, 2020)

Better Knowledge Retention through Metric Learning. - Ke Li 011; Shichong Peng; Kailas Vodrahalli; Jitendra Malik (CoRR, 2020)

Harmless Interpolation of Noisy Data in Regression. - Vidya Muthukumar; Kailas Vodrahalli; Vignesh Subramanian; Anant Sahai (IEEE J. Sel. Areas Inf. Theory, 2020)

Adversarial Training Helps Transfer Learning via Better Representations. - Zhun Deng; Linjun Zhang; Kailas Vodrahalli; Kenji Kawaguchi; James Y. Zou (NeurIPS, 2021)

TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos. - Kailas Vodrahalli; Roxana Daneshjou; Roberto A. Novoa; Albert Chiou; Justin M. Ko; James Zou 001 (PSB, 2021)

Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions. - Kailas Vodrahalli; Tobias Gerstenberg; James Zou 001 (CoRR, 2021)

Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. - Roxana Daneshjou; Kailas Vodrahalli; Weixin Liang; Roberto A. Novoa; Melissa Jenkins; Veronica Rotemberg; Justin Ko; Susan M. Swetter; Elizabeth E. Bailey; Olivier Gevaert; Pritam Mukherjee; Michelle Phung; et al. (CoRR, 2021)

Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions. - Kailas Vodrahalli; Roxana Daneshjou; Tobias Gerstenberg; James Zou 001 (AIES, 2022)

Uncalibrated Models Can Improve Human-AI Collaboration. - Kailas Vodrahalli; Tobias Gerstenberg; James Y. Zou (NeurIPS, 2022)

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. - Roxana Daneshjou; Kailas Vodrahalli; Roberto A. Novoa; Melissa Jenkins; Weixin Liang; Veronica Rotemberg; Justin Ko; Susan M. Swetter; Elizabeth E. Bailey; Olivier Gevaert; Pritam Mukherjee; Michelle Phung; et al. (CoRR, 2022)

Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality. - Kailas Vodrahalli; Justin Ko; Albert S. Chiou; Roberto A. Novoa; Abubakar Abid; Michelle Phung; Kiana Yekrang; Paige Petrone; James Zou 001; Roxana Daneshjou (CoRR, 2022)

Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes. - Kailas Vodrahalli; Gregory D. Lyng; Brian L. Hill; Kimmo Kärkkäinen; Jeffrey Hertzberg; James Zou 001; Eran Halperin (CHIL, 2023)

Can large language models provide useful feedback on research papers? A large-scale empirical analysis. - Weixin Liang; Yuhui Zhang; Hancheng Cao; Binglu Wang; Daisy Ding; Xinyu Yang 002; Kailas Vodrahalli; Siyu He; Daniel Scott Smith; Yian Yin; Daniel A. McFarland; James Zou 001 (CoRR, 2023)

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations. - Kailas Vodrahalli; James Zou 001 (ICML, 2024)

Learning a Canonical Basis of Human Preferences from Binary Ratings. - Kailas Vodrahalli; Wei Wei; James Zou (CoRR, 2025)