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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"

8 / 8 papers shown
A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning
A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning
Michael K. Chen
NAIELMLRM
234
3
0
05 Aug 2025
Scalable Interconnect Learning in Boolean Networks
Scalable Interconnect Learning in Boolean Networks
Fabian Kresse
Emily Yu
Christoph H. Lampert
NAI
223
4
0
03 Jul 2025
Learning Interpretable Differentiable Logic Networks
Learning Interpretable Differentiable Logic Networks
Chang Yue
N. Jha
NAIAI4CE
289
9
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
360
4
0
17 Jun 2024
Deep Metric Tensor Regularized Policy Gradient
Deep Metric Tensor Regularized Policy Gradient
Gang Chen
Victoria Huang
264
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
204
6
0
06 Mar 2023
Deep Differentiable Logic Gate Networks
Deep Differentiable Logic Gate NetworksNeural Information Processing Systems (NeurIPS), 2022
Felix Petersen
Christian Borgelt
Hilde Kuehne
Oliver Deussen
AI4CE
247
73
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
167
124
0
27 Jun 2021
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