Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression

Paul Saegert, Ullrich Köthe

Symbolic regression (SR) aims to discover interpretable analytical expressions that accurately describe observed data. Amortized SR promises to be much more efficient than the pred…