Anirudh Satheesh

18 papers A* 1A 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization. CoRR Anirudh Satheesh, Pankaj Kumar Barman, Washim Uddin Mondal, Vaneet Aggarwal
2026	J	`jnl`	Provably Efficient Algorithms for S- and Non-Rectangular Robust MDPs with General Parameterization. CoRR Anirudh Satheesh, Ziyi Chen, Furong Huang, Heng Huang
2026	J	`jnl`	Regret Analysis of Unichain Average Reward Constrained MDPs with General Parameterization. CoRR Anirudh Satheesh, Vaneet Aggarwal
2025	J	`jnl`	A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control. CoRR Anirudh Satheesh, Keenan Powell
2025	J	`jnl`	Distributionally Robust Self Paced Curriculum Reinforcement Learning. CoRR Anirudh Satheesh, Keenan Powell, Vaneet Aggarwal
2025	J	`jnl`	MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning. CoRR Zikui Cai, Andrew Wang, Anirudh Satheesh, Ankit Nakhawa, Hyunwoo Jae, Keenan Powell, Minghui Liu, Neel Jay, Sungbin Oh, Xiyao Wang, Yongyuan Liang, Tom Goldstein, Furong Huang
2025	J	`jnl`	Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities. CoRR Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell
2025	J	`jnl`	Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities. Trans. Mach. Learn. Res. Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell
2025	J	`jnl`	PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training. CoRR Anirudh Satheesh, Anant Khandelwal, Mucong Ding, Radu Balan
2025	J	`jnl`	PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training. Trans. Mach. Learn. Res. Anirudh Satheesh, Anant Khandelwal, Mucong Ding, Radu Balan
2025	J	`jnl`	Primal-Only Actor Critic Algorithm for Robust Constrained Average Cost MDPs. CoRR Anirudh Satheesh, Sooraj Sathish, Swetha Ganesh, Keenan Powell, Vaneet Aggarwal
2025	—	`conf`	Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems. EMNLP (Findings) Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang
2025	J	`jnl`	Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems. CoRR Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang
2025	A	`conf`	cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending. CIKM Anirudh Satheesh, Keenan Powell, Hua Wei
2025	J	`jnl`	cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending. CoRR Anirudh Satheesh, Keenan Powell, Hua Wei
2024	J	`jnl`	EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM? CoRR Aakriti Agrawal, Mucong Ding, Zora Che, Chenghao Deng, Anirudh Satheesh, John Langford, Furong Huang
2024	A*	`conf`	SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. ICLR Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang
2024	J	`jnl`	SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. CoRR Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang