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Sparsity-promoting algorithms for the discovery of informative Koopman
  invariant subspaces
v1v2v3v4 (latest)

Sparsity-promoting algorithms for the discovery of informative Koopman invariant subspaces

Journal of Fluid Mechanics (JFM), 2020
25 February 2020
Shaowu Pan
Nicholas Arnold-Medabalimi
Karthik Duraisamy
ArXiv (abs)PDFHTML

Papers citing "Sparsity-promoting algorithms for the discovery of informative Koopman invariant subspaces"

11 / 11 papers shown
Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
Septimus Boshoff
Sebastian Peitz
Stefan Klus
197
0
0
26 Sep 2025
Koopman Operators in Robot Learning
Koopman Operators in Robot Learning
Lu Shi
Masih Haseli
Giorgos Mamakoukas
Daniel Bruder
Ian Abraham
Todd Murphey
Jorge Cortes
Konstantinos Karydis
AI4CE
633
28
0
08 Aug 2024
Modal Analysis of Spatiotemporal Data via Multivariate Gaussian Process
  Regression
Modal Analysis of Spatiotemporal Data via Multivariate Gaussian Process Regression
Jiwoo Song
Daning Huang
224
1
0
19 Mar 2024
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman
  Operator
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman OperatorJournal of Open Source Software (JOSS), 2023
Shaowu Pan
E. Kaiser
Brian M. de Silva
J. Nathan Kutz
Steven L. Brunton
419
20
0
22 Jun 2023
Benchmarking sparse system identification with low-dimensional chaos
Benchmarking sparse system identification with low-dimensional chaosNonlinear dynamics (Nonlinear Dyn.), 2023
A. Kaptanoglu
Lanyue Zhang
Zachary G. Nicolaou
Urban Fasel
Steven L. Brunton
285
45
0
04 Feb 2023
Ensemble forecasts in reproducing kernel Hilbert space family
Ensemble forecasts in reproducing kernel Hilbert space family
Benjamin Dufée
Berenger Hug
É. Mémin
G. Tissot
528
3
0
29 Jul 2022
A toolkit for data-driven discovery of governing equations in high-noise
  regimes
A toolkit for data-driven discovery of governing equations in high-noise regimes
Charles B. Delahunt
J. Nathan Kutz
291
28
0
08 Nov 2021
Randomized Projection Learning Method forDynamic Mode Decomposition
Randomized Projection Learning Method forDynamic Mode Decomposition
Sudam Surasinghe
Erik Bollt
215
9
0
22 Sep 2021
Generalizing Dynamic Mode Decomposition: Balancing Accuracy and
  Expressiveness in Koopman Approximations
Generalizing Dynamic Mode Decomposition: Balancing Accuracy and Expressiveness in Koopman Approximations
Masih Haseli
Jorge Cortes
271
21
0
08 Aug 2021
Modern Koopman Theory for Dynamical Systems
Modern Koopman Theory for Dynamical SystemsSIAM Review (SIAM Rev.), 2021
Steven L. Brunton
M. Budišić
E. Kaiser
J. Nathan Kutz
AI4CE
395
630
0
24 Feb 2021
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics
  and Extract Noise Probability Distributions from Data
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data
Kadierdan Kaheman
Steven L. Brunton
J. Nathan Kutz
218
103
0
12 Sep 2020
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