2026
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
ICML 2026poster
Symbolic Regression (SR) aims to discover interpretable analytical expressions that accurately describe observed data. Amortized SR promises to be much more efficient than the predominant genetic programming SR methods, but currently struggles to scale to realistic scientific complexity. We find tha…