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GFN-SR: Symbolic Regression with Generative Flow Networks

GFN-SR: Symbolic Regression with Generative Flow Networks

1 December 2023
Sida Li
Ioana Marinescu
Sebastian Musslick
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Papers citing "GFN-SR: Symbolic Regression with Generative Flow Networks"

4 / 4 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
73
1
0
28 Jan 2025
Streaming Bayes GFlowNets
Streaming Bayes GFlowNets
Tiago da Silva
Daniel Augusto R. M. A. de Souza
Diego Mesquita
BDL
41
0
0
08 Nov 2024
Symbolic Regression is NP-hard
Symbolic Regression is NP-hard
M. Virgolin
S. Pissis
64
61
0
03 Jul 2022
Trajectory balance: Improved credit assignment in GFlowNets
Trajectory balance: Improved credit assignment in GFlowNets
Nikolay Malkin
Moksh Jain
Emmanuel Bengio
Chen Sun
Yoshua Bengio
145
166
0
31 Jan 2022
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