FePySR: A Neural Feature Extraction Framework for Efficient and Scalable Symbolic Regression
arXiv:2605.12704v1 Announce Type: cross
Abstract: A fundamental challenge in symbolic regression (SR) is efficiently recovering complex mathematical expressions from observational data. Although this problem is NP-hard, many expressions of practical i…