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.

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Martin Vastl, Jonáš Kulhánek, Jiˇrí Kubalík, Erik Derner, Robert Babuška (2024). Dataset: SymFormer: End-to-end symbolic regression using transformer-based architecture. https://doi.org/10.57702/u3bakq5f

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2205.15764
Author Martin Vastl
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Jonáš Kulhánek
Jiˇrí Kubalík
Erik Derner
Robert Babuška