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Time-Reversal Symmetric ODE Network

Time-Reversal Symmetric ODE Network

22 July 2020
In Huh
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
ArXivPDFHTML

Papers citing "Time-Reversal Symmetric ODE Network"

9 / 9 papers shown
Title
The Underlying Correlated Dynamics in Neural Training
The Underlying Correlated Dynamics in Neural Training
Rotem Turjeman
Tom Berkov
I. Cohen
Guy Gilboa
19
3
0
18 Dec 2022
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
Sanghoon Myung
I. Huh
Wonik Jang
Jae Myung Choe
Jisu Ryu
Daesin Kim
Kee-Eung Kim
C. Jeong
22
13
0
12 Jun 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and
  Vibroacoustic
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
29
84
0
13 Apr 2022
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred
  from Vision
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
I. Higgins
Peter Wirnsberger
Andrew Jaegle
Aleksandar Botev
37
7
0
10 Nov 2021
Which priors matter? Benchmarking models for learning latent dynamics
Which priors matter? Benchmarking models for learning latent dynamics
Aleksandar Botev
Andrew Jaegle
Peter Wirnsberger
Daniel Hennes
I. Higgins
AI4CE
27
28
0
09 Nov 2021
Structure-preserving Sparse Identification of Nonlinear Dynamics for
  Data-driven Modeling
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling
Kookjin Lee
Nathaniel Trask
P. Stinis
32
24
0
11 Sep 2021
Machine learning structure preserving brackets for forecasting
  irreversible processes
Machine learning structure preserving brackets for forecasting irreversible processes
Kookjin Lee
Nathaniel Trask
P. Stinis
AI4CE
36
42
0
23 Jun 2021
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
146
219
0
29 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
278
1,400
0
01 Dec 2016
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