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Discovery of Dynamics Using Linear Multistep Methods

Discovery of Dynamics Using Linear Multistep Methods

29 December 2019
Rachael Keller
Q. Du
ArXivPDFHTML

Papers citing "Discovery of Dynamics Using Linear Multistep Methods"

4 / 4 papers shown
Title
Exact Inference for Continuous-Time Gaussian Process Dynamics
Exact Inference for Continuous-Time Gaussian Process Dynamics
K. Ensinger
Nicholas Tagliapietra
Sebastian Ziesche
Sebastian Trimpe
19
1
0
05 Sep 2023
VPNets: Volume-preserving neural networks for learning source-free
  dynamics
VPNets: Volume-preserving neural networks for learning source-free dynamics
Aiqing Zhu
Beibei Zhu
Jiawei Zhang
Yifa Tang
Jian-Dong Liu
26
3
0
29 Apr 2022
Learning continuous models for continuous physics
Learning continuous models for continuous physics
Aditi S. Krishnapriyan
A. Queiruga
N. Benjamin Erichson
Michael W. Mahoney
AI4CE
21
33
0
17 Feb 2022
The Discovery of Dynamics via Linear Multistep Methods and Deep
  Learning: Error Estimation
The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation
Q. Du
Yiqi Gu
Haizhao Yang
Chao Zhou
24
20
0
21 Mar 2021
1