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cs.LG2026
Not Every Term Adds New Structure: Sobolev Novelty for Symbolic Regression
Boxiao Wang, Kai Li, Yuheng Jing +4
Symbolic regression (SR) aims to discover compact and meaningful mathematical equations from data, but searching the vast combinatorial space of symbolic structures remains challen…
cs.LG2026
Gene Expression-Informed Jointly Controlled Generative Modeling for Precision Molecular Design
Hang Yuan, Chen Li, Wenjun Ma +2
Precision molecular design aims to discover personalized drug candidates through joint control of multiple conditions, such as biological relevance and molecular design strategies.…
cs.LG2026
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization
Boxiao Wang, Kai Li, Tianyi Liu +4
Symbolic regression aims to distill mathematical equations from observational data. Recent approaches have successfully leveraged Large Language Models (LLMs) to generate equation…