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On generalized residue network for deep learning of unknown dynamical systems

On generalized residue network for deep learning of unknown dynamical systems

Zhen Chen
D. Xiu
ArXivPDFHTML

Papers citing "On generalized residue network for deep learning of unknown dynamical systems"

4 / 4 papers shown
Title
Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory Data
Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory Data
Kailiang Wu
Tong Qin
D. Xiu
40
31
0
24 May 2019
Data Driven Governing Equations Approximation Using Deep Neural Networks
Data Driven Governing Equations Approximation Using Deep Neural Networks
Tong Qin
Kailiang Wu
D. Xiu
PINN
49
271
0
13 Nov 2018
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification
Rohit Tripathy
Ilias Bilionis
AI4CE
43
403
0
02 Feb 2018
A machine learning approach for efficient uncertainty quantification using multiscale methods
A machine learning approach for efficient uncertainty quantification using multiscale methods
Shing Chan
A. Elsheikh
54
72
0
12 Nov 2017