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Data-driven learning of non-autonomous systems

Data-driven learning of non-autonomous systems

2 June 2020
Tong Qin
Zhen Chen
J. Jakeman
D. Xiu
ArXivPDFHTML

Papers citing "Data-driven learning of non-autonomous systems"

14 / 14 papers shown
Title
Learning reduced systems via deep neural networks with memory
Learning reduced systems via deep neural networks with memory
Xiaohang Fu
L. Chang
D. Xiu
36
32
0
20 Mar 2020
Bayesian System ID: Optimal management of parameter, model, and
  measurement uncertainty
Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty
Nicholas Galioto
Alex Gorodetsky
58
32
0
04 Mar 2020
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
AI4CE
45
46
0
23 Jan 2020
Data-Driven Deep Learning of Partial Differential Equations in Modal
  Space
Data-Driven Deep Learning of Partial Differential Equations in Modal Space
Kailiang Wu
D. Xiu
114
152
0
15 Oct 2019
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
50
31
0
24 May 2019
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep
  Network
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network
Zichao Long
Yiping Lu
Bin Dong
AI4CE
74
552
0
30 Nov 2018
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
71
273
0
13 Nov 2018
Numerical Aspects for Approximating Governing Equations Using Data
Numerical Aspects for Approximating Governing Equations Using Data
Kailiang Wu
D. Xiu
47
68
0
24 Sep 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial
  Differential Equations
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
M. Raissi
PINN
AI4CE
115
754
0
20 Jan 2018
Multistep Neural Networks for Data-driven Discovery of Nonlinear
  Dynamical Systems
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
M. Raissi
P. Perdikaris
George Karniadakis
PINN
144
266
0
04 Jan 2018
PDE-Net: Learning PDEs from Data
PDE-Net: Learning PDEs from Data
Zichao Long
Yiping Lu
Xianzhong Ma
Bin Dong
DiffM
AI4CE
43
756
0
26 Oct 2017
Machine Learning of Linear Differential Equations using Gaussian
  Processes
Machine Learning of Linear Differential Equations using Gaussian Processes
M. Raissi
George Karniadakis
83
550
0
10 Jan 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
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