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2205.09779
Cited By
Residual Dynamic Mode Decomposition: Robust and verified Koopmanism
19 May 2022
Matthew J. Colbrook
Lorna J. Ayton
Máté Szőke
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Papers citing
"Residual Dynamic Mode Decomposition: Robust and verified Koopmanism"
20 / 20 papers shown
Title
Limits and Powers of Koopman Learning
Matthew J. Colbrook
Igor Mezić
Alexei Stepanenko
27
10
0
08 Jul 2024
Multiplicative Dynamic Mode Decomposition
Nicolas Boullé
Matthew J. Colbrook
24
2
0
08 May 2024
Real-Time Motion Detection Using Dynamic Mode Decomposition
Marco Mignacca
Simone Brugiapaglia
J. Bramburger
22
0
0
08 May 2024
Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators
Matthew J. Colbrook
Catherine Drysdale
Andrew Horning
24
5
0
01 May 2024
Koopman-Assisted Reinforcement Learning
Preston Rozwood
Edward Mehrez
Ludger Paehler
Wen Sun
Steven L. Brunton
24
6
0
04 Mar 2024
PyDMD: A Python package for robust dynamic mode decomposition
Sara M. Ichinaga
Francesco Andreuzzi
N. Demo
M. Tezzele
Karl Lapo
G. Rozza
Steven L. Brunton
J. Nathan Kutz
AI4CE
28
16
0
12 Feb 2024
On the Convergence of Hermitian Dynamic Mode Decomposition
Nicolas Boullé
Matthew J. Colbrook
19
2
0
06 Jan 2024
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
Priyam Gupta
Peter J. Schmid
D. Sipp
T. Sayadi
Georgios Rigas
11
4
0
16 Oct 2023
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches
Ricardo Constante-Amores
Alec J. Linot
Michael D. Graham
11
10
0
10 Oct 2023
Operator-Based Detecting, Learning, and Stabilizing Unstable Periodic Orbits of Chaotic Attractors
A. Tavasoli
Heman Shakeri
15
0
0
07 Sep 2023
Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical Systems
Matthew J. Colbrook
Qin Li
Ryan V. Raut
Alex Townsend
22
16
0
21 Aug 2023
Koopman operator learning using invertible neural networks
Yuhuang Meng
Jian-Kai Huang
Yue Qiu
11
11
0
30 Jun 2023
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator
Shaowu Pan
E. Kaiser
Brian M. de Silva
J. Nathan Kutz
Steven L. Brunton
13
8
0
22 Jun 2023
Koopman Kernel Regression
Petar Bevanda
Maximilian Beier
Armin Lederer
Stefan Sosnowski
Eyke Hüllermeier
Sandra Hirche
AI4TS
14
16
0
25 May 2023
Orthogonal polynomial approximation and Extended Dynamic Mode Decomposition in chaos
Caroline L. Wormell
13
3
0
14 May 2023
Vehicular Applications of Koopman Operator Theory -- A Survey
W. Manzoor
S. Rawashdeh
Aliasgar Mohammadi
15
16
0
18 Mar 2023
Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories
Samuel E. Otto
Sebastian Peitz
C. Rowley
23
19
0
20 Sep 2022
The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems
Matthew J. Colbrook
23
34
0
06 Sep 2022
Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems
Matthew J. Colbrook
Alex Townsend
18
67
0
29 Nov 2021
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning
Motoya Ohnishi
Isao Ishikawa
Kendall Lowrey
Masahiro Ikeda
Sham Kakade
Yoshinobu Kawahara
16
5
0
30 Jun 2021
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