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Learning the Koopman Eigendecomposition: A Diffeomorphic Approach

Learning the Koopman Eigendecomposition: A Diffeomorphic Approach

15 October 2021
Petar Bevanda
Johannes Kirmayr
Stefan Sosnowski
Sandra Hirche
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Papers citing "Learning the Koopman Eigendecomposition: A Diffeomorphic Approach"

8 / 8 papers shown
Title
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
Long Tan Le
Tung Nguyen
Han Shu
Suranga Seneviratne
Choong Seon Hong
Nguyen Tran
45
0
0
14 Mar 2025
Koopman-based Deep Learning for Nonlinear System Estimation
Koopman-based Deep Learning for Nonlinear System Estimation
Zexin Sun
Mingyu Chen
John Baillieul
24
0
0
01 May 2024
Let's do the time-warp-attend: Learning topological invariants of
  dynamical systems
Let's do the time-warp-attend: Learning topological invariants of dynamical systems
Noa Moriel
Matthew Ricci
Mor Nitzan
54
1
0
14 Dec 2023
On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks
On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks
Bangti Jin
Zehui Zhou
Jun Zou
26
3
0
18 Aug 2023
Koopman Kernel Regression
Koopman Kernel Regression
Petar Bevanda
Maximilian Beier
Armin Lederer
Stefan Sosnowski
Eyke Hüllermeier
Sandra Hirche
AI4TS
24
16
0
25 May 2023
Universal approximation property of invertible neural networks
Universal approximation property of invertible neural networks
Isao Ishikawa
Takeshi Teshima
Koichi Tojo
Kenta Oono
Masahiro Ikeda
Masashi Sugiyama
41
29
0
15 Apr 2022
Towards Data-driven LQR with Koopmanizing Flows
Towards Data-driven LQR with Koopmanizing Flows
Petar Bevanda
Maximilian Beier
Shahab Heshmati-alamdari
Stefan Sosnowski
Sandra Hirche
11
4
0
27 Jan 2022
Diffeomorphically Learning Stable Koopman Operators
Diffeomorphically Learning Stable Koopman Operators
Petar Bevanda
Maximilian Beier
Sebastian Kerz
Armin Lederer
Stefan Sosnowski
Sandra Hirche
27
21
0
08 Dec 2021
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