Chen, Eric

9 publications

AAAI 2025 How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data Ishaan Maitra, Raymond Lin, Eric Chen, Jon Donnelly, Sanja Scepanovic, Cynthia Rudin

ICML 2025 Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs Aryan Gulati, Brando Miranda, Eric Chen, Emily Xia, Kai Fronsdal, Bruno De Moraes Dumont, Sanmi Koyejo

TMLR 2025 Top-$k$ Feature Importance Ranking Eric Chen, Tiffany Tang, Genevera I. Allen

NeurIPSW 2024 Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning Aryan Gulati, Brando Miranda, Eric Chen, Emily Xia, Kai Fronsdal, Bruno de Moraes Dumont, Sanmi Koyejo

CVPR 2024 Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence Junyi Zhang, Charles Herrmann, Junhwa Hur, Eric Chen, Varun Jampani, Deqing Sun, Ming-Hsuan Yang

NeurIPSW 2023 Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete

NeurIPSW 2023 Protein Language Models Enable Accurate Cryptic Ligand Binding Pocket Prediction David A Bloore, Joseph Chahn Kim, Karan Kapoor, Eric Chen, Kaifu Gao, Mengdi Wang, Ming-Hong Hao

NeurIPS 2023 Riemannian Residual Neural Networks Isay Katsman, Eric Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou, Ser Nam Lim, Christopher M De Sa

NeurIPS 2022 Redeeming Intrinsic Rewards via Constrained Optimization Eric Chen, Zhang-Wei Hong, Joni K. Pajarinen, Pulkit Agrawal