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Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks
v1v2 (latest)

Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks

12 December 2020
Gang Chen
ArXiv (abs)PDFHTML

Papers citing "Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks"

6 / 6 papers shown
Title
Learning Interpretable Differentiable Logic Networks
Learning Interpretable Differentiable Logic Networks
Chang Yue
N. Jha
NAIAI4CE
64
1
0
04 Jul 2024
A Personalised Learning Tool for Physics Undergraduate Students Built On
  a Large Language Model for Symbolic Regression
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression
Yufan Zhu
Zi-Yu Khoo
Jonathan Sze Choong Low
Stephane Bressan
AI4Ed
130
2
0
17 Jun 2024
Deep Metric Tensor Regularized Policy Gradient
Deep Metric Tensor Regularized Policy Gradient
Gang Chen
Victoria Huang
78
0
0
18 May 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli
M. A. Alam
Bruno Ribeiro
OOD
64
4
0
06 Mar 2023
Deep Differentiable Logic Gate Networks
Deep Differentiable Logic Gate Networks
Felix Petersen
Christian Borgelt
Hilde Kuehne
Oliver Deussen
AI4CE
65
30
0
15 Oct 2022
SymbolicGPT: A Generative Transformer Model for Symbolic Regression
SymbolicGPT: A Generative Transformer Model for Symbolic Regression
Mojtaba Valipour
Bowen You
Maysum Panju
A. Ghodsi
67
95
0
27 Jun 2021
1