Learning dynamical systems from data: A simple cross-validation perspective, part I: Parametric kernel flows

2020/07/31 by Boumediene Hamzi, Houman Owhadi · 2 citations
Decision Sciences · Engineering · Physics and Astronomy · #Fluid Dynamics and Turbulent Flows #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design

paper · doi:10.1016/j.physd.2020.132817

openalex publication_date 2021/02/06 · openalex created_date 2021/02/15 · openalex updated_date 2026/07/30

Citations

• Liapunov exponents from time series
• Discovering governing equations from data: Sparse identification of nonlinear dynamical systems
• Kernel Mode Decomposition and programmable/interpretable regression networks
• Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques
• Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation

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