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Physics-guided Deep Markov Models for Learning Nonlinear Dynamical
  Systems with Uncertainty
v1v2v3 (latest)

Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty

16 October 2021
Wei Liu
Zhilu Lai
Kiran Bacsa
Eleni Chatzi
    PINNBDLAI4CE
ArXiv (abs)PDFHTML

Papers citing "Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty"

7 / 7 papers shown
Variational Rank Reduction Autoencoders for Generative
Variational Rank Reduction Autoencoders for Generative
Alicia Tierz
Jad Mounayer
B. Moya
Francisco Chinesta
DRLAI4CE
260
2
0
10 Sep 2025
Structured Kolmogorov-Arnold Neural ODEs for Interpretable Learning and Symbolic Discovery of Nonlinear Dynamics
Structured Kolmogorov-Arnold Neural ODEs for Interpretable Learning and Symbolic Discovery of Nonlinear Dynamics
Wei Liu
Kiran Bacsa
Loon Ching Tang
Eleni Chatzi
261
3
0
23 Jun 2025
Grammar-based Ordinary Differential Equation Discovery
Grammar-based Ordinary Differential Equation DiscoveryMechanical systems and signal processing (MSSP), 2025
Karin L. Yu
Eleni Chatzi
Georgios Kissas
365
4
0
03 Apr 2025
Deep Belief Markov Models for POMDP Inference
Deep Belief Markov Models for POMDP Inference
Giacomo Arcieri
K. Papakonstantinou
D. Štraub
Eleni Chatzi
286
0
0
17 Mar 2025
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey
  on Structural Mechanics Applications
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics ApplicationsData-Centric Engineering (DCE), 2023
M. Haywood-Alexander
Wei Liu
Kiran Bacsa
Zhilu Lai
Eleni Chatzi
AI4CE
385
27
0
31 Oct 2023
Neural Extended Kalman Filters for Learning and Predicting Dynamics of
  Structural Systems
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural SystemsStructural Health Monitoring (SHM), 2022
Wen Liu
Zhilu Lai
Kiran Bacsa
Eleni Chatzi
325
34
0
09 Oct 2022
Neural modal ordinary differential equations: Integrating physics-based
  modeling with neural ordinary differential equations for modeling
  high-dimensional monitored structures
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structuresData-Centric Engineering (DE), 2022
Zhilu Lai
Wei Liu
Xudong Jian
Kiran Bacsa
Limin Sun
Eleni Chatzi
AI4CE
170
32
0
16 Jul 2022
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