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2020 – today
- 2025
[i8]Isha Puri, Shivchander Sudalairaj, Guangxuan Xu, Kai Xu, Akash Srivastava:
A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods. CoRR abs/2502.01618 (2025)- [i7]Yuexing Hao, Kumail Alhamoud, Hyewon Jeong, Haoran Zhang, Isha Puri, Philip Torr, Mike Schaekermann, Ariel D. Stern, Marzyeh Ghassemi:
MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering. CoRR abs/2505.24040 (2025) - [i6]Isha Puri, Amit Dhurandhar, Tejaswini Pedapati, Kartikeyan Shanmugam, Dennis Wei, Kush R. Varshney:
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions. CoRR abs/2506.05586 (2025) - [i5]Isha Puri, David D. Cox:
A System for Accurate Tracking and Video Recordings of Rodent Eye Movements using Convolutional Neural Networks for Biomedical Image Segmentation. CoRR abs/2506.08183 (2025) - [i4]Mehul Damani, Isha Puri, Stewart Slocum, Idan Shenfeld, Leshem Choshen, Yoon Kim, Jacob Andreas:
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty. CoRR abs/2507.16806 (2025) - 2024
- [j1]Kyle O'Brien, Nathan Hoyen Ng, Isha Puri, Jorge Mendez-Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen:
Improving Black-box Robustness with In-Context Rewriting. Trans. Mach. Learn. Res. 2024 (2024) - [c4]Saadia Gabriel, Isha Puri, Xuhai Xu, Matteo Malgaroli, Marzyeh Ghassemi:
Can AI Relate: Testing Large Language Model Response for Mental Health Support. EMNLP (Findings) 2024: 2206-2221 - [i3]Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen:
Improving Black-box Robustness with In-Context Rewriting. CoRR abs/2402.08225 (2024) - [i2]Saadia Gabriel, Isha Puri, Xuhai Xu, Matteo Malgaroli, Marzyeh Ghassemi:
Can AI Relate: Testing Large Language Model Response for Mental Health Support. CoRR abs/2405.12021 (2024) - 2022
- [c3]Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju:
OpenXAI: Towards a Transparent Evaluation of Model Explanations. NeurIPS 2022 - [i1]Chirag Agarwal, Eshika Saxena, Satyapriya Krishna, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju:
OpenXAI: Towards a Transparent Evaluation of Model Explanations. CoRR abs/2206.11104 (2022) - 2021
- [c2]Isha Puri, Amit Dhurandhar, Tejaswini Pedapati, Karthikeyan Shanmugam
, Dennis Wei, Kush R. Varshney:
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions. NeurIPS 2021: 21668-21680
2010 – 2019
- 2018
- [c1]Isha Puri, David D. Cox:
A System for Accurate Tracking and Video Recordings of Rodent Eye Movements using Convolutional Neural Networks for Biomedical Image Segmentation. EMBC 2018: 3590-3593
Coauthor Index
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