AI Feynman: A physics-inspired method for symbolic regression
AI Feynman: A physics-inspired method for symbolic regression
A core challenge for both physics and artificial intelligence (AI) is symbolic regression: finding a symbolic expression that matches data from an unknown function. Although this problem is likely to be NP-hard in principle, functions of practical interest often exhibit symmetries, separability, compositionality, and other simplifying properties. In this spirit, …