Review
Jun 2026
Learning dynamical systems from noisy data with Weak-form Kernel Ridge Regression
This manuscript gives an overview of the filtering mechanism behind the weak formulation and provides a bias-variance error decomposition, and combines a weak formulation with a kernel learning strategy to propose Weak-form Kernel Ridge Regression (WKRR) for learning dynamical systems.
Max Kreider, John Harlim, Daning Huang
· 2 citations
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