Dimensionality Reduction of Complex Metastable Systems via Kernel
Embeddings of Transition Manifolds

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Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds

18 April 2019

Christof Schütte

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Papers citing "Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds"

9 / 9 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 137 1 0 21 Dec 2024
Simplicity bias, algorithmic probability, and the random logistic map B. Hamzi K. Dingle 61 4 0 31 Dec 2023
Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning B. Hamzi Marcus Hutter H. Owhadi 68 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 91 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 111 27 0 24 Sep 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 83 19 0 25 Nov 2021
Predicting trajectory behaviour via machine-learned invariant manifolds Vladimír Krajvnák Shibabrat Naik Stephen Wiggins 27 5 0 21 Jul 2021
Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem B. Haasdonk B. Hamzi G. Santin D. Wittwar 83 21 0 01 Dec 2020
Learning dynamical systems from data: a simple cross-validation perspective B. Hamzi H. Owhadi 78 41 0 09 Jul 2020