13 datasets found

The Strogatz datasets were sourced from the ODE-Strogatz repository.

The Feynman Symbolic Regression Database contains 100 regression mysteries drawn from the Feynman Lectures on Physics and a bonus set of an additional 20 mysteries selected for...

A large benchmarking effort that includes a dataset repository curated for SR, as well as a benchmarking library designed to allow researchers to easily contribute methods.

The AI-Feynman database is a widely used public benchmark for symbolic regression.

The Keijzer benchmark is a widely used public benchmark for symbolic regression.

The Nguyen benchmark is a widely used public benchmark for symbolic regression.

The SSDNC dataset is a comprehensive dataset containing 963 unseen equations.

Symbolic regression holds great potential for uncovering underlying mathematical and physical relationships from empirical data. The authors introduce Symbolic Q-network...

The dataset is used to evaluate the performance of the Multi Expression Programming (MEP) algorithm.

The dataset used for symbolic regression problems

The dataset used in the paper is a large collection of mathematical formulas, consisting of hundreds of millions of formulas.

A dataset of mathematical formulas used to evaluate the interpretability of formulas.

AI Feynman: A physics-inspired method for symbolic regression.