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Exhaustive Symbolic Regression

Exhaustive Symbolic Regression

21 November 2022
Deaglan J. Bartlett
Harry Desmond
Pedro G. Ferreira
ArXivPDFHTML

Papers citing "Exhaustive Symbolic Regression"

7 / 7 papers shown
Title
Generalizing the SINDy approach with nested neural networks
Generalizing the SINDy approach with nested neural networks
Camilla Fiorini
Clément Flint
Louis Fostier
Emmanuel Franck
Reyhaneh Hashemi
Victor Michel-Dansac
Wassim Tenachi
76
1
0
28 Jan 2025
A Comparison of Recent Algorithms for Symbolic Regression to Genetic
  Programming
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
Yousef A. Radwan
G. Kronberger
Stephan M. Winkler
OffRL
62
4
0
05 Jun 2024
Symbolic Regression for Beyond the Standard Model Physics
Symbolic Regression for Beyond the Standard Model Physics
Shehu AbdusSalam
Steve Abel
M. Romão
38
6
0
28 May 2024
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural
  Networks
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks
Feng-Lei Fan
Meng Wang
Hang Dong
Jianwei Ma
Tieyong Zeng
43
0
0
03 May 2024
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization
Philipp Scholl
Katharina Bieker
Hillary Hauger
Gitta Kutyniok
45
4
0
09 Oct 2023
Priors for symbolic regression
Priors for symbolic regression
Deaglan J. Bartlett
Harry Desmond
Pedro G. Ferreira
42
5
0
13 Apr 2023
Symbolic Regression by Exhaustive Search: Reducing the Search Space
  Using Syntactical Constraints and Efficient Semantic Structure Deduplication
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
63
25
0
28 Sep 2021
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