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A Comparative Evaluation of Additive Separability Tests for
  Physics-Informed Machine Learning

A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning

15 December 2023
Zi-Yu Khoo
Jonathan Sze Choong Low
Stéphane Bressan
    ELM
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Papers citing "A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning"

3 / 3 papers shown
Title
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical
  Inductive Bias
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias
Yupu Lu
Shi-Min Lin
Guanqi Chen
Jia Pan
61
7
0
24 Jun 2022
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Nate Gruver
Marc Finzi
Samuel Stanton
A. Wilson
AI4CE
45
41
0
10 Feb 2022
AI Feynman: a Physics-Inspired Method for Symbolic Regression
AI Feynman: a Physics-Inspired Method for Symbolic Regression
S. Udrescu
Max Tegmark
158
875
0
27 May 2019
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