3 papers
cs.NE2026
Analysis of Memory-Runtime Trade-offs in Caching Strategies for Genetic Programming Symbolic Regression
Jiaming Shi, Kei Sen Fong, Mehul Motani
Genetic Programming Symbolic Regression (GPSR) generates mathematical expressions to model input-output relationships using an evolutionary process. A significant challenge in GPSR…
cs.LG2025
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025
Emily Alsentzer, Marie-Laure Charpignon, Bill Chen +90
The 6th Annual Conference on Health, Inference, and Learning (CHIL 2025), hosted by the Association for Health Learning and Inference (AHLI), was held in person on June 25-27, 2025…
cs.LG2025
Teaching the Teacher: The Role of Teacher-Student Smoothness Alignment in Genetic Programming-based Symbolic Distillation
Soumyadeep Dhar, Kei Sen Fong, Mehul Motani
Obtaining human-readable symbolic formulas via genetic programming-based symbolic distillation of a deep neural network trained on the target dataset presents a promising yet under…