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ModLaNets: Learning Generalisable Dynamics via Modularity and Physical
  Inductive Bias

ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias

24 June 2022
Yupu Lu
Shi-Min Lin
Guanqi Chen
Jia-Yu Pan
ArXivPDFHTML

Papers citing "ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias"

5 / 5 papers shown
Title
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics
  Learning and Control
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control
T. Duong
Abdullah Altawaitan
Jason Stanley
Nikolay A. Atanasov
20
9
0
17 Jan 2024
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable
  Contact Models
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
Yaofeng Desmond Zhong
Biswadip Dey
Amit Chakraborty
52
34
0
12 Feb 2021
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
121
419
0
10 Mar 2020
Deep neural network solution of the electronic Schrödinger equation
Deep neural network solution of the electronic Schrödinger equation
J. Hermann
Zeno Schätzle
Frank Noé
144
445
0
16 Sep 2019
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
258
1,398
0
01 Dec 2016
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