Improving Neural Symbolic Regression with a Diverse Prior and Post-training Alignment

David Otte, Jörg K. H. Franke, Frank Hutter

Symbolic regression is the problem of finding an expression that fits a dataset. Solving it requires searching a combinatorial space of candidate expressions. Neural symbolic regre…