AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

2 code implementations • NeurIPS 2020 • Silviu-Marian Udrescu, Andrew Tan, Jiahai Feng, Orisvaldo Neto, Tailin Wu, Max Tegmark

We present an improved method for symbolic regression that seeks to fit data to formulas that are Pareto-optimal, in the sense of having the best accuracy for a given complexity.

regression Symbolic Regression +1