Anirudh Satheesh

According to our database, Anirudh Satheesh authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

2025

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

Anirudh Satheesh, Anant Khandelwal, Mucong Ding, Radu Balan

CoRR, July, 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

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

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