Estimating Koopman operators with sketching to provably learn large scale dynamical systems

7 June 2023

Papers citing "Estimating Koopman operators with sketching to provably learn large scale dynamical systems"

6 / 6 papers shown

Title
Deep Sketched Output Kernel Regression for Structured Prediction T. Ahmad Junjie Yang Pierre Laforgue Florence dÁlché-Buc UQCV 39 0 0 13 Jun 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 41 0 0 05 Mar 2024
Learning to Forecast Dynamical Systems from Streaming Data D. Giannakis Amelia Henriksen J. Tropp Rachel A. Ward AI4TS 37 17 0 20 Sep 2021
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics C. Wehmeyer Frank Noé AI4CE BDL 111 356 0 30 Oct 2017
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 86 280 0 09 Aug 2012
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil 85 143 0 21 May 2012