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Kernel-based approximation of the Koopman generator and Schrödinger operator

27 May 2020

Papers citing "Kernel-based approximation of the Koopman generator and Schrödinger operator"

22 / 22 papers shown

Title
Kernel Dynamic Mode Decomposition For Sparse Reconstruction of Closable Koopman Operators Nishant Panda Himanshu Singh J. Nathan Kutz 97 0 0 11 May 2025
Kernel Methods for the Approximation of the Eigenfunctions of the Koopman Operator Jonghyeon Lee B. Hamzi Boya Hou H. Owhadi G. Santin Umesh Vaidya 144 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 97 1 0 12 Aug 2024
Dynamical systems and complex networks: A Koopman operator perspective Stefan Klus Natavsa Djurdjevac Conrad 51 3 0 14 May 2024
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method Edoardo Caldarelli Antoine Chatalic Adrià Colomé C. Molinari C. Ocampo‐Martinez Carme Torras Lorenzo Rosasco 105 0 0 05 Mar 2024
Simplicity bias, algorithmic probability, and the random logistic map B. Hamzi K. Dingle 61 4 0 31 Dec 2023
Featurizing Koopman Mode Decomposition For Robust Forecasting D. Aristoff J. Copperman Nathan Mankovich Alexander Davies 63 2 0 14 Dec 2023
Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning B. Hamzi Marcus Hutter H. Owhadi 83 3 0 21 Nov 2023
Learning invariant representations of time-homogeneous stochastic dynamical systems Vladimir Kostic P. Novelli Riccardo Grazzi Karim Lounici Massimiliano Pontil 70 8 0 19 Jul 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
Ensemble forecasts in reproducing kernel Hilbert space family Benjamin Dufée Berenger Hug É. Mémin G. Tissot 138 1 0 29 Jul 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
Learning to Forecast Dynamical Systems from Streaming Data D. Giannakis Amelia Henriksen J. Tropp Rachel A. Ward AI4TS 67 17 0 20 Sep 2021
Learning and Leveraging Features in Flow-Like Environments to Improve Situational Awareness Tahiya Salam Victoria Edwards M. A. Hsieh 49 7 0 13 Sep 2021
Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry Stefan Klus Patrick Gelß Feliks Nuske Frank Noé 47 21 0 31 Mar 2021
Modern Koopman Theory for Dynamical Systems Steven L. Brunton M. Budišić E. Kaiser J. Nathan Kutz AI4CE 156 423 0 24 Feb 2021
On the Universal Transformation of Data-Driven Models to Control Systems Sebastian Peitz Katharina Bieker AI4CE 40 11 0 09 Feb 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
Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning Vivien A. Cabannes Loucas Pillaud-Vivien Francis R. Bach Alessandro Rudi 80 19 0 09 Sep 2020
Learning dynamical systems from data: a simple cross-validation perspective B. Hamzi H. Owhadi 78 41 0 09 Jul 2020
Tensor-based computation of metastable and coherent sets Feliks Nuske Patrick Gelß Stefan Klus C. Clementi 32 13 0 12 Aug 2019