Author

Max Kreider

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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 · ⚡1