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Model Reduction with Memory and the Machine Learning of Dynamical
  Systems

Model Reduction with Memory and the Machine Learning of Dynamical Systems

10 August 2018
Chao Ma
Jianchun Wang
E. Weinan
ArXiv (abs)PDFHTML

Papers citing "Model Reduction with Memory and the Machine Learning of Dynamical Systems"

4 / 4 papers shown
Title
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Xinghao Dong
Chuanqi Chen
Jin-Long Wu
DiffMAI4CE
80
5
0
06 Aug 2024
Differentiable Molecular Simulations for Control and Learning
Differentiable Molecular Simulations for Control and Learning
Wujie Wang
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
166
49
0
27 Feb 2020
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
196
5,353
0
21 Nov 2012
1