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From Fourier to Koopman: Spectral Methods for Long-term Time Series
  Prediction

From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction

1 April 2020
Henning Lange
Steven L. Brunton
N. Kutz
    AI4TS
ArXivPDFHTML

Papers citing "From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction"

5 / 5 papers shown
Title
When Graph Neural Networks Meet Dynamic Mode Decomposition
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi
Lequan Lin
Andi Han
Zhiyong Wang
Yi Guo
Junbin Gao
AI4CE
23
0
0
08 Oct 2024
Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting
  of Atmospheric Chemistry Data
Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting of Atmospheric Chemistry Data
Meghana Velegar
Christoph Keller
J. Nathan Kutz
18
1
0
13 Apr 2024
Koopa: Learning Non-stationary Time Series Dynamics with Koopman
  Predictors
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Yong Liu
Chenyu Li
Jianmin Wang
Mingsheng Long
AI4TS
28
101
0
30 May 2023
Physics-Informed Koopman Network
Physics-Informed Koopman Network
Yuying Liu
A. Sholokhov
Hassan Mansour
S. Nabi
AI4CE
18
3
0
17 Nov 2022
Time-lagged autoencoders: Deep learning of slow collective variables for
  molecular kinetics
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
C. Wehmeyer
Frank Noé
AI4CE
BDL
109
355
0
30 Oct 2017
1