1 citations · 1 across the 2 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
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…
cs.LG2025
Towards Scaling Laws for Symbolic Regression
David Otte, Jörg K. H. Franke, Arbër Zela +2
Symbolic regression (SR) aims to discover the underlying mathematical expressions that explain observed data. This holds promise for both gaining scientific insight and for produci…