PyKoopman: A Python Package for Data-Driven Approximation of the Koopman
Operator

PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator

22 June 2023

Brian M. de Silva

Steven L. Brunton

Papers citing "PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator"

6 / 6 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 30 2 0 26 Oct 2024
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Julius Aka Johannes Brunnemann Jörg Eiden Arne Speerforck Lars Mikelsons 18 0 0 14 Oct 2024
Koopman Operators in Robot Learning Lu Shi Masih Haseli Giorgos Mamakoukas Daniel Bruder Ian Abraham Todd D. Murphey Jorge Cortes Konstantinos Karydis AI4CE 14 7 0 08 Aug 2024
On the lifting and reconstruction of nonlinear systems with multiple invariant sets Shaowu Pan Karthik Duraisamy 31 3 0 24 Apr 2023
The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems Matthew J. Colbrook 23 34 0 06 Sep 2022
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics C. Wehmeyer Frank Noé AI4CE BDL 109 355 0 30 Oct 2017