Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression

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@InProceedings{Saegert:2026:ICML,

• author = "Paul Saegert and Ullrich Koethe",
• title = "Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression",
• booktitle = "Proceedings of the 43rd International Conference on Machine Learning",
• year = "2026",
• editor = "Alekh Agarwal and Miro Dudik and Martin Jaggi and Sharon Li",
• pages = "PMLR 306",
• address = "Seoul, South Korea",
• month = jul # " 6-11",
• keywords = "genetic algorithms, genetic programming, ANN, symbolic regression, SIMPLIPY, Flash-ANSR",
• URL = "https://icml.cc/virtual/2026/poster/64015",
• code_url = "https://github.com/psaegert/simplipy",
• size = "32 pages",
• notes = "'surpassing the genetic programming baseline PySR'

  ICML 2026 https://icml.cc/virtual/2026",

}

Genetic Programming entries for Paul Saegert Ullrich Koethe

Citations