Jin-Long Wu

According to our database, Jin-Long Wu authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation.

Chuanqi Chen, Nan Chen, Jin-Long Wu

CoRR, 2024

Learning About Structural Errors in Models of Complex Dynamical Systems.

Jin-Long Wu, Matthew E. Levine, Tapio Schneider, Andrew M. Stuart

CoRR, 2024

2023

Operator Learning for Continuous Spatial-Temporal Model with A Hybrid Optimization Scheme.

Chuanqi Chen, Jin-Long Wu

CoRR, 2023

CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting.

Chuanqi Chen, Nan Chen, Jin-Long Wu

CoRR, 2023

2022

EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration.

Oliver R. A. Dunbar, Ignacio Lopez-Gomez, Alfredo Garbuno-Iñigo, Daniel Zhengyu Huang, Eviatar Bach, Jin-Long Wu

J. Open Source Softw., December, 2022

Ensemble Kalman inversion for sparse learning of dynamical systems from time-averaged data.

Tapio Schneider, Andrew M. Stuart, Jin-Long Wu

J. Comput. Phys., 2022

2020

Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems.

Jin-Long Wu, Karthik Kashinath, Adrian Albert, Dragos Chirila, Prabhat, Heng Xiao

J. Comput. Phys., 2020

2016

Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach.

Heng Xiao, Jin-Long Wu, Jian-Xun Wang, Rui Sun, Christopher J. Roy

J. Comput. Phys., 2016