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Feynman Symbolic Regression Database
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... -
AI-Feynman database
The AI-Feynman database is a widely used public benchmark for symbolic regression. -
Keijzer benchmark
The Keijzer benchmark is a widely used public benchmark for symbolic regression. -
Nguyen benchmark
The Nguyen benchmark is a widely used public benchmark for symbolic regression. -
SSDNC dataset
The SSDNC dataset is a comprehensive dataset containing 963 unseen equations. -
Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making
Symbolic regression holds great potential for uncovering underlying mathematical and physical relationships from empirical data. The authors introduce Symbolic Q-network... -
SymFormer: End-to-end symbolic regression using transformer-based architecture
The dataset used in the paper is a large collection of mathematical formulas, consisting of hundreds of millions of formulas. -
GPFormulasInterpretability
A dataset of mathematical formulas used to evaluate the interpretability of formulas. -
Symbolic Pregression: Discovering Physical Laws from Distorted Video
A method for unsupervised learning of equations of motion for objects in raw and optionally distorted unlabeled video.
