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

19 August 2022

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

6 / 6 papers shown

Title
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation Chuanqi Chen Nan Chen Yinling Zhang Jin-Long Wu AI4CE 85 2 0 26 Oct 2024
Minimum Reduced-Order Models via Causal Inference Nan Chen Honghu Liu CML 43 0 0 29 Jun 2024
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation Chuanqi Chen Nan Chen Jin-Long Wu AI4CE 78 4 0 10 Apr 2024
Operator Learning for Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods Chuanqi Chen Jin-Long Wu AI4CE 64 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 R. Mojgani Ashesh Chattopadhyay Pedram Hassanzadeh 67 9 0 22 Sep 2023
CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting Chuanqi Chen Nan Chen Jin-Long Wu 72 9 0 16 Apr 2023