Dataset Groups Activity Stream 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. BibTex: @dataset{Martin_Vastl_and_Jonáš_Kulhánek_and_Jiˇrí_Kubalík_and_Erik_Derner_and_Robert_Babuška_2024, abstract = {The dataset used in the paper is a large collection of mathematical formulas, consisting of hundreds of millions of formulas.}, author = {Martin Vastl and Jonáš Kulhánek and Jiˇrí Kubalík and Erik Derner and Robert Babuška}, doi = {10.57702/u3bakq5f}, institution = {No Organization}, keyword = {'mathematical formulas', 'symbolic regression', 'transformer-based architecture'}, month = {dec}, publisher = {TIB}, title = {SymFormer: End-to-end symbolic regression using transformer-based architecture}, url = {https://service.tib.eu/ldmservice/dataset/symformer--end-to-end-symbolic-regression-using-transformer-based-architecture}, year = {2024} }
