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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
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Papers citing "ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization"

4 / 4 papers shown
Title
UniSymNet: A Unified Symbolic Network Guided by Transformer
UniSymNet: A Unified Symbolic Network Guided by Transformer
Xinxin Li
Juan Zhang
Da Li
Xingyu Liu
Jin Xu
Junping Yin
34
0
0
09 May 2025
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints
J.-P. Bruneton
51
0
0
24 Mar 2025
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
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,532
0
23 Jan 2020