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Deep Learning Enhanced Dynamic Mode Decomposition
v1v2v3v4 (latest)

Deep Learning Enhanced Dynamic Mode Decomposition

Chaos (Chaos), 2021
10 August 2021
D. J. Alford-Lago
C. Curtis
Alexander T. Ihler
Opal Issan
ArXiv (abs)PDFHTML

Papers citing "Deep Learning Enhanced Dynamic Mode Decomposition"

15 / 15 papers shown
Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
Hong Wang
Jie Wang
Jian Luo
Huanshuo Dong
Yeqiu Chen
Runmin Jiang
Zhen Huang
188
0
0
27 Oct 2025
Avoiding spectral pollution for transfer operators using residuals
Avoiding spectral pollution for transfer operators using residuals
April Herwig
Matthew J. Colbrook
Oliver Junge
Péter Koltai
Julia Slipantschuk
107
0
0
22 Jul 2025
LETS Forecast: Learning Embedology for Time Series Forecasting
LETS Forecast: Learning Embedology for Time Series Forecasting
Abrar Majeedi
Viswanatha Reddy Gajjala
Satya Sai Srinath Namburi Gnvv
Nada Magdi Elkordi
Yin Li
AI4TS
240
1
0
06 Jun 2025
KIPPO: Koopman-Inspired Proximal Policy Optimization
KIPPO: Koopman-Inspired Proximal Policy OptimizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Andrei Cozma
Landon Harris
Hairong Qi
177
0
0
20 May 2025
Forecasting Local Ionospheric Parameters Using Transformers
Forecasting Local Ionospheric Parameters Using Transformers
D. J. Alford-Lago
C. Curtis
Alexander T. Ihler
Katherine A. Zawdie
Douglas P. Drob
227
0
0
20 Feb 2025
Entropic Regression DMD (ERDMD) Discovers Informative Sparse and
  Nonuniformly Time Delayed Models
Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models
Christopher W. Curtis
Erik Bollt
D. J. Alford-Lago
195
0
0
17 Jun 2024
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with
  Automatic Differentiation: Koopman and Neural ODE Approaches
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE ApproachesChaos (Chaos), 2023
Ricardo Constante-Amores
Alec J. Linot
Michael D. Graham
242
11
0
10 Oct 2023
Why should autoencoders work?
Why should autoencoders work?
Matthew D. Kvalheim
E.D. Sontag
505
5
0
03 Oct 2023
Koopman operator learning using invertible neural networks
Koopman operator learning using invertible neural networks
Yuhuang Meng
Jian-Kai Huang
Yue Qiu
294
26
0
30 Jun 2023
Machine Learning Enhanced Hankel Dynamic-Mode Decomposition
Machine Learning Enhanced Hankel Dynamic-Mode DecompositionChaos (Chaos), 2023
Chris Curtis
D. J. Alford-Lago
Erik Bollt
Andrew Tuma
289
11
0
11 Mar 2023
Koopman neural operator as a mesh-free solver of non-linear partial
  differential equations
Koopman neural operator as a mesh-free solver of non-linear partial differential equationsJournal of Computational Physics (JCP), 2023
Wei Xiong
Xiaomeng Huang
Ziyang Zhang
Ruixuan Deng
Pei Sun
Yang Tian
AI4CE
420
72
0
24 Jan 2023
KoopmanLab: machine learning for solving complex physics equations
KoopmanLab: machine learning for solving complex physics equationsAPL Machine Learning (AML), 2023
Wei Xiong
Muyuan Ma
Xiaomeng Huang
Ziyang Zhang
Pei Sun
Yang Tian
AI4CE
491
23
0
03 Jan 2023
DLKoopman: A deep learning software package for Koopman theory
DLKoopman: A deep learning software package for Koopman theoryConference on Learning for Dynamics & Control (L4DC), 2022
Sourya Dey
Eric K. Davis
AI4CE
259
6
0
15 Nov 2022
Quaternion-based dynamic mode decomposition for background modeling in
  color videos
Quaternion-based dynamic mode decomposition for background modeling in color videosComputer Vision and Image Understanding (CVIU), 2021
Juan Han
K. Kou
Jifei Miao
287
6
0
28 Dec 2021
Forecasting Sequential Data using Consistent Koopman Autoencoders
Forecasting Sequential Data using Consistent Koopman AutoencodersInternational Conference on Machine Learning (ICML), 2020
Omri Azencot
N. Benjamin Erichson
Vanessa Lin
Michael W. Mahoney
AI4TSAI4CE
614
200
0
04 Mar 2020
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