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Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition
@article{gecco_symreg22, title = {Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition}, journal = {arXiv}, year = {2023}, slug = {gecco_symreg22}, author = {de Franca, FO and Virgolin, M and Kommenda, M and Majumder, MS and Cranmer, M and Espada, G and Ingelse, L and Fonseca, A and Landajuela, M and Petersen, B and Glatt, R and Mundhenk, N and Lee, CS and Hochhalter, JD and Randall, DL and Kamienny, P and Zhang, H and Dick, G and Simon, A and Burlacu, B and Kasak, Jaan and Machado, Meera and Wilstrup, Casper and Cava, WG La}, url = {https://arxiv.org/abs/2304.01117} }