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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

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"

7 / 7 papers shown
Title
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
120
8
0
08 Aug 2024
Ensemble forecasts in reproducing kernel Hilbert space family
Ensemble forecasts in reproducing kernel Hilbert space family
Benjamin Dufée
Berenger Hug
É. Mémin
G. Tissot
138
1
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
107
19
0
08 Nov 2021
Randomized Projection Learning Method forDynamic Mode Decomposition
Randomized Projection Learning Method forDynamic Mode Decomposition
Sudam Surasinghe
Erik Bollt
91
7
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
62
15
0
08 Aug 2021
Modern Koopman Theory for Dynamical Systems
Modern Koopman Theory for Dynamical Systems
Steven L. Brunton
M. Budišić
E. Kaiser
J. Nathan Kutz
AI4CE
156
423
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
85
84
0
12 Sep 2020
1