Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem

1 December 2020

Papers citing "Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem"

8 / 8 papers shown

Title
Kernel Methods for the Approximation of the Eigenfunctions of the Koopman Operator Jonghyeon Lee B. Hamzi Boya Hou H. Owhadi G. Santin Umesh Vaidya 77 1 0 21 Dec 2024
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach Daniel Lengyel P. Parpas B. Hamzi H. Owhadi 35 1 0 12 Aug 2024
Simplicity bias, algorithmic probability, and the random logistic map B. Hamzi K. Dingle 23 3 0 31 Dec 2023
Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning B. Hamzi Marcus Hutter H. Owhadi 21 3 0 21 Nov 2023
Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems L. Yang Xiuwen Sun B. Hamzi H. Owhadi Nai-ming Xie 19 20 0 24 Jan 2023
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
Learning effective dynamics from data-driven stochastic systems Lingyu Feng Ting Gao Min Dai Jinqiao Duan SyDa AI4CE 14 4 0 09 May 2022
Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series Jonghyeon Lee E. Brouwer B. Hamzi H. Owhadi AI4TS 16 19 0 25 Nov 2021