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A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization

A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization

Nan Chen
Yinling Zhang
    CML
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Papers citing "A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization"

7 / 7 papers shown
Title
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
Chuanqi Chen
Nan Chen
Yinling Zhang
Jin-Long Wu
AI4CE
33
2
0
26 Oct 2024
Minimum Reduced-Order Models via Causal Inference
Minimum Reduced-Order Models via Causal Inference
Nan Chen
Honghu Liu
CML
16
0
0
29 Jun 2024
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation
Chuanqi Chen
Nan Chen
Jin-Long Wu
AI4CE
37
4
0
10 Apr 2024
Operator Learning for Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods
Operator Learning for Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods
Chuanqi Chen
Jin-Long Wu
AI4CE
28
0
0
20 Nov 2023
Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case
Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case
R. Mojgani
A. Chattopadhyay
P. Hassanzadeh
30
7
0
22 Sep 2023
CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting
CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting
Chuanqi Chen
Nan Chen
Jin-Long Wu
29
9
0
16 Apr 2023
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
D. Gagne
H. Christensen
A. Subramanian
A. Monahan
AI4CE
BDL
41
139
0
10 Sep 2019