SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. - Mucong Ding; Bang An 001; Yuancheng Xu; Anirudh Satheesh; Furong Huang (ICLR, 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 001; Furong Huang (CoRR, 2024)

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; et al. (Trans. Mach. Learn. Res., 2025)

A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control. - Anirudh Satheesh; Keenan Powell (CoRR, 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; et al. (CoRR, 2025)

PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training. - Anirudh Satheesh; Anant Khandelwal; Mucong Ding; Radu Balan (CoRR, 2025)