Limits and Powers of Koopman Learning

8 July 2024

Papers citing "Limits and Powers of Koopman Learning"

5 / 5 papers shown

Title
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation Chuanqi Chen Nan Chen Yinling Zhang Jin-Long Wu AI4CE 26 2 0 26 Oct 2024
Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators Matthew J. Colbrook Catherine Drysdale Andrew Horning 19 5 0 01 May 2024
Resurrecting Recurrent Neural Networks for Long Sequences Antonio Orvieto Samuel L. Smith Albert Gu Anushan Fernando Çağlar Gülçehre Razvan Pascanu Soham De 83 258 0 11 Mar 2023
The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems Matthew J. Colbrook 17 34 0 06 Sep 2022
Learning to Forecast Dynamical Systems from Streaming Data D. Giannakis Amelia Henriksen J. Tropp Rachel A. Ward AI4TS 30 13 0 20 Sep 2021