arXiv stat.ML
· Papers
Probabilistic Symbolic Regression for Equation Discovery via Operator-induced and Regularized Symbolic Forests
arXiv:2509.19710v2 Announce Type: replace-cross Abstract: Symbolic regression has emerged as a powerful tool for artificial intelligence-driven scientific discovery by learning interpretable analytical expressions that reveal governing relationships directly from data. Existing methods, however, often rely on heuristic