Exhaustive Symbolic Regression

Exhaustive Symbolic Regression

21 November 2022

Deaglan J. Bartlett

Pedro G. Ferreira

Papers citing "Exhaustive Symbolic Regression"

7 / 7 papers shown

Title
Generalizing the SINDy approach with nested neural networks Camilla Fiorini Clément Flint Louis Fostier Emmanuel Franck Reyhaneh Hashemi Victor Michel-Dansac Wassim Tenachi 68 1 0 28 Jan 2025
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming Yousef A. Radwan G. Kronberger Stephan M. Winkler OffRL 51 4 0 05 Jun 2024
Symbolic Regression for Beyond the Standard Model Physics Shehu AbdusSalam Steve Abel M. Romão 18 5 0 28 May 2024
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks Feng-Lei Fan Meng Wang Hang Dong Jianwei Ma Tieyong Zeng 36 0 0 03 May 2024
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization Philipp Scholl Katharina Bieker Hillary Hauger Gitta Kutyniok 33 4 0 09 Oct 2023
Priors for symbolic regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 29 5 0 13 Apr 2023
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication Lukas Kammerer G. Kronberger Bogdan Burlacu Stephan M. Winkler M. Kommenda M. Affenzeller 55 25 0 28 Sep 2021