Learning dynamical systems from data: a simple cross-validation perspective

9 July 2020

Papers citing "Learning dynamical systems from data: a simple cross-validation perspective"

8 / 8 papers shown

Title
Gaussian Process Policy Iteration with Additive Schwarz Acceleration for Forward and Inverse HJB and Mean Field Game Problems Xianjin Yang Jingguo Zhang 24 0 0 01 May 2025
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis Yasamin Jalalian Juan Felipe Osorio Ramirez Alexander W. Hsu Bamdad Hosseini H. Owhadi 43 0 0 02 Mar 2025
One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels Matthieu Darcy B. Hamzi Giulia Livieri H. Owhadi P. Tavallali 36 26 0 24 Sep 2022
Gaussian Process Hydrodynamics H. Owhadi 16 1 0 21 Sep 2022
Ensemble forecasts in reproducing kernel Hilbert space family Benjamin Dufée Berenger Hug É. Mémin G. Tissot 24 1 0 29 Jul 2022
Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem B. Haasdonk B. Hamzi G. Santin D. Wittwar 21 21 0 01 Dec 2020
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation Yifan Chen H. Owhadi Andrew M. Stuart 20 31 0 22 May 2020
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows G. Yoo H. Owhadi 22 21 0 19 Feb 2020