NTIRE 2020 Challenge on Image and Video Deblurring. - Seungjun Nah; Sanghyun Son 002; Radu Timofte; Kyoung Mu Lee; Yu Tseng; Yu-Syuan Xu; Cheng-Ming Chiang; Yi-Min Tsai; Stephan Brehm; Sebastian A. Scherer; Dejia Xu; Yihao Chu; et al. (CVPR Workshops, 2020)

In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction. - Caroline Wang; Bin Han; Bhrij Patel; Feroze Mohideen; Cynthia Rudin (CoRR, 2020)

Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. - Wesley A. Suttle; Amrit S. Bedi; Bhrij Patel; Brian M. Sadler; Alec Koppel; Dinesh Manocha (ICML, 2023)

Ada-NAV: Adaptive Trajectory-Based Sample Efficient Policy Learning for Robotic Navigation. - Bhrij Patel; Kasun Weerakoon; Wesley A. Suttle; Alec Koppel; Brian M. Sadler; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2023)

Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles. - Bhrij Patel; Wesley A. Suttle; Alec Koppel; Vaneet Aggarwal; Brian M. Sadler; Dinesh Manocha; Amrit S. Bedi (ICML, 2024)

Right Place, Right Time! Towards ObjectNav for Non-Stationary Goals. - Vishnu Sashank Dorbala; Bhrij Patel; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2024)

Global Optimality without Mixing Time Oracles in Average-reward RL via Multi-level Actor-Critic. - Bhrij Patel; Wesley A. Suttle; Alec Koppel; Vaneet Aggarwal; Brian M. Sadler; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2024)

Embodied Question Answering via Multi-LLM Systems. - Bhrij Patel; Vishnu Sashank Dorbala; Dinesh Manocha; Amrit Singh Bedi (CoRR, 2024)

AIME: AI System Optimization via Multiple LLM Evaluators. - Bhrij Patel; Souradip Chakraborty; Wesley A. Suttle; Mengdi Wang; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2024)

Learning API Functionality from Demonstrations for Tool-based Agents. - Bhrij Patel; Ashish Jagmohan; Aditya Vempaty (CoRR, 2025)