Anirudh Satheesh

According to our database, Anirudh Satheesh authored at least 14 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Compositional Adversarial Training for Robust Visual Watermarking.

Anirudh Satheesh, Michael-Andrei Panaitescu-Liess, Andrew Xu, Georgios Milis, Heng Huang, Zikui Cai, Furong Huang

CoRR, May, 2026

Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization.

Anirudh Satheesh, Pankaj Kumar Barman, Washim Uddin Mondal, Vaneet Aggarwal

CoRR, March, 2026

Provably Efficient Algorithms for S- and Non-Rectangular Robust MDPs with General Parameterization.

Anirudh Satheesh, Ziyi Chen, Furong Huang, Heng Huang

CoRR, February, 2026

Regret Analysis of Unichain Average Reward Constrained MDPs with General Parameterization.

Anirudh Satheesh, Vaneet Aggarwal

CoRR, February, 2026

2025

Primal-Only Actor Critic Algorithm for Robust Constrained Average Cost MDPs.

Anirudh Satheesh, Sooraj Sathish, Swetha Ganesh, Keenan Powell, Vaneet Aggarwal

CoRR, November, 2025

Distributionally Robust Self Paced Curriculum Reinforcement Learning.

Anirudh Satheesh, Keenan Powell, Vaneet Aggarwal

CoRR, November, 2025

MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning.

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

CoRR, June, 2025

A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control.

Anirudh Satheesh, Keenan Powell

CoRR, March, 2025

PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training.

Anirudh Satheesh, Anant Khandelwal, Mucong Ding, Radu Balan

Trans. Mach. Learn. Res., 2025

Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities.

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

Trans. Mach. Learn. Res., 2025

Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems.

Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending.

Anirudh Satheesh, Keenan Powell, Hua Wei

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM?

Aakriti Agrawal, Mucong Ding, Zora Che, Chenghao Deng, Anirudh Satheesh, John Langford, Furong Huang

CoRR, 2024

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation.

Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024