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Learning Stochastic Closures Using Ensemble Kalman Inversion
v1v2 (latest)

Learning Stochastic Closures Using Ensemble Kalman Inversion

17 April 2020
T. Schneider
Andrew M. Stuart
Jin-Long Wu
ArXiv (abs)PDFHTML

Papers citing "Learning Stochastic Closures Using Ensemble Kalman Inversion"

14 / 14 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
85
2
0
26 Oct 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Xinghao Dong
Chuanqi Chen
Jin-Long Wu
DiffMAI4CE
139
5
0
06 Aug 2024
Minimum Reduced-Order Models via Causal Inference
Minimum Reduced-Order Models via Causal Inference
Nan Chen
Honghu Liu
CML
53
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
78
4
0
10 Apr 2024
Learning About Structural Errors in Models of Complex Dynamical Systems
Learning About Structural Errors in Models of Complex Dynamical Systems
Jin-Long Wu
Matthew E. Levine
Tapio Schneider
Andrew M. Stuart
AI4CE
82
18
0
29 Dec 2023
Extreme Event Prediction with Multi-agent Reinforcement Learning-based
  Parametrization of Atmospheric and Oceanic Turbulence
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence
R. Mojgani
Daniel Waelchli
Yifei Guan
Petros Koumoutsakos
Pedram Hassanzadeh
AI4ClAI4CE
99
6
0
01 Dec 2023
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
64
0
0
20 Nov 2023
Learning Closed-form Equations for Subgrid-scale Closures from
  High-fidelity Data: Promises and Challenges
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges
Karan Jakhar
Yifei Guan
R. Mojgani
Ashesh Chattopadhyay
Pedram Hassanzadeh
AI4ClAI4CE
75
16
0
08 Jun 2023
Reservoir Computing with Error Correction: Long-term Behaviors of
  Stochastic Dynamical Systems
Reservoir Computing with Error Correction: Long-term Behaviors of Stochastic Dynamical Systems
Cheng Fang
Yubin Lu
Ting Gao
Jinqiao Duan
52
4
0
01 May 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
72
9
0
16 Apr 2023
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
81
15
0
19 Aug 2022
Quantum Mechanics for Closure of Dynamical Systems
Quantum Mechanics for Closure of Dynamical Systems
D. Freeman
D. Giannakis
J. Slawinska
75
4
0
05 Aug 2022
A Framework for Machine Learning of Model Error in Dynamical Systems
A Framework for Machine Learning of Model Error in Dynamical Systems
Matthew E. Levine
Andrew M. Stuart
111
69
0
14 Jul 2021
Calibration and Uncertainty Quantification of Convective Parameters in
  an Idealized GCM
Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM
Oliver R. A. Dunbar
A. Garbuno-Iñigo
T. Schneider
Andrew M. Stuart
86
60
0
24 Dec 2020
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