| 2026 | AAAI | SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained Knowledge. | Adeel Yousaf, Joseph Fioresi, James Beetham, Amrit Singh Bedi, Mubarak Shah |
| 2026 | EACL | Jailbreaks as Inference-Time Alignment: A Framework for Understanding Safety Failures in LLMs. | James Beetham, Souradip Chakraborty, Mengdi Wang, Furong Huang, Amrit Singh Bedi, Mubarak Shah |
| 2025 | AAAI | Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment. | Prashant Trivedi, Souradip Chakraborty, Avinash Reddy, Vaneet Aggarwal, Amrit Singh Bedi, George K. Atia |
| 2025 | CVPR | Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. | Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi |
| 2025 | EMNLP | Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems. | Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang |
| 2025 | ICML | Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time. | Mohamad Fares El Hajj Chehade, Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Dinesh Manocha, Hao Zhu, Amrit Singh Bedi |
| 2025 | IROS | EfficientEQA: An Efficient Approach to Open-Vocabulary Embodied Question Answering. | Kai Cheng, Zhengyuan Li, Xingpeng Sun, Byung-Cheol Min, Amrit Singh Bedi, Aniket Bera |
| 2025 | IROS | Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation. | Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Tianyi Zhou, Dinesh Manocha, Amrit Singh Bedi |
| 2025 | IROS | On the Vulnerability of LLM/VLM-Controlled Robotics. | Xiyang Wu, Souradip Chakraborty, Ruiqi Xian, Jing Liang, Tianrui Guan, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi |
| 2024 | ICLR | PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. | Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang |
| 2024 | IROS | When, What, and with Whom to Communicate: Enhancing RL-based Multi-Robot Navigation through Selective Communication. | Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha |
| 2024 | IROS | LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. | Chak Lam Shek, Xiyang Wu, Wesley A. Suttle, Carl E. Busart, Erin G. Zaroukian, Dinesh Manocha, Pratap Tokekar, Amrit Singh Bedi |
| 2024 | IROS | TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation. | Xingpeng Sun, Yiran Zhang, Xindi Tang, Amrit Singh Bedi, Aniket Bera |
| 2023 | AAAI | Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. | Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal |
| 2023 | AAAI | Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. | Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha |
| 2023 | ICRA | RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments. | Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha |
| 2023 | ICRA | Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization. | Souradip Chakraborty, Amrit Singh Bedi, Kasun Weerakoon, Prithvi Poddar, Alec Koppel, Pratap Tokekar, Dinesh Manocha |
| 2023 | ICRA | Decentralized Multi-agent Exploration with Limited Inter-agent Communications. | Hans He, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell, Mazen Farhood, Benjamin Biggs |
| 2022 | AAAI | Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. | Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal |
| 2022 | AAAI | Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic. | Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel |
| 2022 | ICML | On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. | Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel |
| 2022 | ICML | FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. | Anis Elgabli, Chaouki Ben Issaid, Amrit Singh Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal |
| 2022 | IROS | DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. | Aakriti Agrawal, Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha |
| 2022 | IROS | Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. | Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How |
| 2021 | ACSSC | Randomized Linear Programming for Tabular Average-Cost Multi-agent Reinforcement Learning. | Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal |
| 2021 | IROS | Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference. | Michael E. Kepler, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell |
| 2020 | ACSSC | Conservative Multi-agent Online Kernel Learning in Heterogeneous Networks. | Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat |
| 2019 | ACSSC | Compressed Streaming Importance Sampling for Efficient Representations of Localization Distributions. | Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Vctor Elvira |
| 2018 | ACSSC | Time Varying optimization via Inexact Proximal Online Gradient Descent. | Rishabh Dixit, Amrit Singh Bedi, Ruchi Tripathi, Ketan Rajawat |
| 2018 | ICASSP | Adversarial Multi-Agent Target Tracking with Inexact Online Gradient Descent. | Amrit Singh Bedi, Paban Sarma, Ketan Rajawat |
| 2018 | WCNC | Wireless network optimization via stochastic sub-gradient descent: Rate analysis. | Amrit Singh Bedi, Ketan Rajawat |
| 2017 | ACSSC | Beyond consensus and synchrony in decentralized online optimization using saddle point method. | Amrit Singh Bedi, Alec Koppel, Ketan Rajawat |