Koopman Kernel Regression

Koopman Kernel Regression

25 May 2023

Maximilian Beier

Stefan Sosnowski

Eyke Hüllermeier

Papers citing "Koopman Kernel Regression"

15 / 15 papers shown

Title
Kernel Dynamic Mode Decomposition For Sparse Reconstruction of Closable Koopman Operators Nishant Panda Himanshu Singh J. Nathan Kutz 31 0 0 11 May 2025
Koopman-Equivariant Gaussian Processes Petar Bevanda Max Beier Armin Lederer A. Capone Stefan Sosnowski Sandra Hirche AI4TS 63 1 0 10 Feb 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 77 1 0 21 Dec 2024
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Petar Bevanda Nicolas Hosichen Tobias Wittmann Jan Brüdigam Sandra Hirche Boris Houska 72 0 0 02 Dec 2024
Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics Zi Cong Guo James Richard Forbes Timothy D. Barfoot 27 0 0 15 Sep 2024
Data-Driven Optimal Feedback Laws via Kernel Mean Embeddings Petar Bevanda Nicolas Hoischen Stefan Sosnowski Sandra Hirche Boris Houska 24 2 0 23 Jul 2024
Nonparametric Control Koopman Operators Petar Bevanda Bas Driessen Lucian-Cristian Iacob Roland Toth Stefan Sosnowski Sandra Hirche 33 2 0 12 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 36 0 0 05 Mar 2024
Consistent Long-Term Forecasting of Ergodic Dynamical Systems Prune Inzerilli Vladimir Kostic Karim Lounici P. Novelli Massimiliano Pontil 8 4 0 20 Dec 2023
Neural Koopman prior for data assimilation Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS AI4CE 20 4 0 11 Sep 2023
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments Xiaoyi Cai Michael Everett Lakshay Sharma Philip R. Osteen Jonathan P. How 30 37 0 01 Oct 2022
Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots J. I. Alora Mattia Cenedese Edward Schmerling George Haller Marco Pavone 94 28 0 13 Sep 2022
Nonparametric, Nonasymptotic Confidence Bands with Paley-Wiener Kernels for Band-Limited Functions Balázs Csanád Csáji Balint Horvath 21 4 0 27 Jun 2022
Learning the Koopman Eigendecomposition: A Diffeomorphic Approach Petar Bevanda Johannes Kirmayr Stefan Sosnowski Sandra Hirche 30 9 0 15 Oct 2021
Learning Stable Koopman Embeddings Fletcher Fan Bowen Yi D. Rye Guodong Shi I. Manchester 25 33 0 13 Oct 2021