A System for Accurate Tracking and Video Recordings of Rodent Eye Movements using Convolutional Neural Networks for Biomedical Image Segmentation. - Isha Puri; David D. Cox (EMBC, 2018)

CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions. - Isha Puri; Amit Dhurandhar; Tejaswini Pedapati; Karthikeyan Shanmugam; Dennis Wei; Kush R. Varshney (NeurIPS, 2021)

OpenXAI: Towards a Transparent Evaluation of Model Explanations. - Chirag Agarwal; Satyapriya Krishna; Eshika Saxena; Martin Pawelczyk; Nari Johnson; Isha Puri; Marinka Zitnik; Himabindu Lakkaraju (NeurIPS, 2022)

Can AI Relate: Testing Large Language Model Response for Mental Health Support. - Saadia Gabriel; Isha Puri; Xuhai Xu; Matteo Malgaroli; Marzyeh Ghassemi (EMNLP (Findings), 2024)

Improving Black-box Robustness with In-Context Rewriting. - Kyle O'Brien; Nathan Ng 001; Isha Puri; Jorge Mendez; Hamid Palangi; Yoon Kim; Marzyeh Ghassemi; Thomas Hartvigsen (CoRR, 2024)

Improving Black-box Robustness with In-Context Rewriting. - Kyle O'Brien; Nathan Hoyen Ng; Isha Puri; Jorge Mendez-Mendez; Hamid Palangi; Yoon Kim; Marzyeh Ghassemi; Thomas Hartvigsen (Trans. Mach. Learn. Res., 2024)

A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods. - Isha Puri; Shivchander Sudalairaj; Guangxuan Xu; Kai Xu 016; Akash Srivastava (CoRR, 2025)

MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering. - Yuexing Hao; Kumail Alhamoud; Hyewon Jeong; Haoran Zhang 003; Isha Puri; Philip Torr 001; Mike Schaekermann; Ariel D. Stern; Marzyeh Ghassemi (CoRR, 2025)

CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions. - Isha Puri; Amit Dhurandhar; Tejaswini Pedapati; Kartikeyan Shanmugam; Dennis Wei; Kush R. Varshney (CoRR, 2025)

Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty. - Mehul Damani; Isha Puri; Stewart Slocum; Idan Shenfeld; Leshem Choshen; Yoon Kim; Jacob Andreas (CoRR, 2025)