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cs.LG2025
Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models
Bilge Taskin, Wenxiong Xie, Teddy Lazebnik
Symbolic regression (SR) has emerged as a powerful tool for automated scientific discovery, enabling the derivation of governing equations from experimental data. A growing body of…
cs.LG2022★ 113 cited
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge
Liron Simon Keren, Alex Liberzon, Teddy Lazebnik
Discovering a meaningful symbolic expression that explains experimental data is a fundamental challenge in many scientific fields. We present a novel, open-source computational fra…