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GSR: A Generalized Symbolic Regression Approach

GSR: A Generalized Symbolic Regression Approach

31 May 2022
Tony Tohme
Dehong Liu
K. Youcef-Toumi
ArXivPDFHTML

Papers citing "GSR: A Generalized Symbolic Regression Approach"

6 / 6 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
68
1
0
28 Jan 2025
ISR: Invertible Symbolic Regression
ISR: Invertible Symbolic Regression
Tony Tohme
M. J. Khojasteh
Mohsen Sadr
Florian Meyer
Kamal Youcef-Toumi
51
0
0
10 May 2024
Data-Driven Discovery of PDEs via the Adjoint Method
Data-Driven Discovery of PDEs via the Adjoint Method
Mohsen Sadr
Tony Tohme
Kamal Youcef-Toumi
PINN
21
1
0
30 Jan 2024
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
Stéphane d’Ascoli
Soren Becker
Alexander Mathis
Philippe Schwaller
Niki Kilbertus
24
21
0
09 Oct 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY
  Estimation
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
Tony Tohme
Mohsen Sadr
K. Youcef-Toumi
N. Hadjiconstantinou
30
3
0
07 Jun 2023
Symbolic Regression is NP-hard
Symbolic Regression is NP-hard
M. Virgolin
S. Pissis
62
61
0
03 Jul 2022
1