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Learning Stable Deep Dynamics Models for Partially Observed or Delayed
  Dynamical Systems

Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems

27 October 2021
Andreas Schlaginhaufen
Philippe Wenk
Andreas Krause
Florian Dorfler
ArXivPDFHTML

Papers citing "Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems"

13 / 13 papers shown
Title
Learning Macroscopic Dynamics from Partial Microscopic Observations
Learning Macroscopic Dynamics from Partial Microscopic Observations
Mengyi Chen
Qianxiao Li
AI4CE
36
0
0
31 Oct 2024
Neural DDEs with Learnable Delays for Partially Observed Dynamical
  Systems
Neural DDEs with Learnable Delays for Partially Observed Dynamical Systems
Thibault Monsel
Emmanuel Menier
Onofrio Semeraro
L. Mathelin
Guillaume Charpiat
25
0
0
03 Oct 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Niclas Alexander Göring
Florian Hess
Manuel Brenner
Zahra Monfared
Daniel Durstewitz
AI4CE
32
10
0
28 Feb 2024
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
K. Ensinger
Sebastian Ziesche
Sebastian Trimpe
31
1
0
06 Sep 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical
  Systems
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Truong X. Nghiem
Ján Drgoňa
Colin N. Jones
Zoltán Nagy
Roland Schwan
...
J. Paulson
Andrea Carron
M. Zeilinger
Wenceslao Shaw-Cortez
D. Vrabie
PINN
AI4CE
32
30
0
24 Jun 2023
Lyapunov-Stable Deep Equilibrium Models
Lyapunov-Stable Deep Equilibrium Models
Haoyu Chu
Shikui Wei
Ting Liu
Yao-Min Zhao
Yuto Miyatake
AAML
31
3
0
25 Apr 2023
Autoregressive models for biomedical signal processing
Autoregressive models for biomedical signal processing
Jonas F. Haderlein
A. Peterson
A. Burkitt
I. Mareels
D. Grayden
11
0
0
17 Apr 2023
A Policy Optimization Method Towards Optimal-time Stability
A Policy Optimization Method Towards Optimal-time Stability
Shengjie Wang
Lan Fengb
Xiang Zheng
Yu-wen Cao
Oluwatosin Oseni
Haotian Xu
Tao Zhang
Yang Gao
26
1
0
02 Jan 2023
Learning Deep Input-Output Stable Dynamics
Learning Deep Input-Output Stable Dynamics
Yuji Okamoto
Ryosuke Kojima
OOD
23
5
0
27 Jun 2022
Recognition Models to Learn Dynamics from Partial Observations with
  Neural ODEs
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs
Mona Buisson-Fenet
V. Morgenthaler
Sebastian Trimpe
F. D. Meglio
46
6
0
25 May 2022
Learning Stabilizable Deep Dynamics Models
Learning Stabilizable Deep Dynamics Models
Kenji Kashima
Ryota Yoshiuchi
Yutaka Kawano
19
4
0
18 Mar 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs
LyaNet: A Lyapunov Framework for Training Neural ODEs
I. D. Rodriguez
Aaron D. Ames
Yisong Yue
33
49
0
05 Feb 2022
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
175
597
0
22 Sep 2016
1