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Jin-Long Wu
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2020 – today
- 2024
- [i3]Jin-Long Wu, Matthew E. Levine, Tapio Schneider, Andrew M. Stuart:
Learning About Structural Errors in Models of Complex Dynamical Systems. CoRR abs/2401.00035 (2024) - 2023
- [i2]Chuanqi Chen, Nan Chen, Jin-Long Wu:
CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting. CoRR abs/2304.07863 (2023) - [i1]Chuanqi Chen, Jin-Long Wu:
Operator Learning for Continuous Spatial-Temporal Model with A Hybrid Optimization Scheme. CoRR abs/2311.11798 (2023) - 2022
- [j4]Tapio Schneider, Andrew M. Stuart, Jin-Long Wu:
Ensemble Kalman inversion for sparse learning of dynamical systems from time-averaged data. J. Comput. Phys. 470: 111559 (2022) - [j3]Oliver R. A. Dunbar, Ignacio Lopez-Gomez, Alfredo Garbuno-Iñigo, Daniel Zhengyu Huang, Eviatar Bach, Jin-Long Wu:
EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration. J. Open Source Softw. 7(80): 4869 (2022) - 2020
- [j2]Jin-Long Wu, Karthik Kashinath, Adrian Albert, Dragos Chirila, Prabhat, Heng Xiao:
Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems. J. Comput. Phys. 406: 109209 (2020)
2010 – 2019
- 2016
- [j1]Heng Xiao, Jin-Long Wu, Jian-Xun Wang, Rui Sun, Christopher J. Roy:
Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach. J. Comput. Phys. 324: 115-136 (2016)
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