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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
ArXiv (abs)PDFHTML

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

13 / 13 papers shown
Title
Physics-Informed Probabilistic Learning of Linear Embeddings of
  Non-linear Dynamics With Guaranteed Stability
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability
Shaowu Pan
Karthik Duraisamy
89
138
0
09 Jun 2019
Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction
Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction
N. Benjamin Erichson
Michael Muehlebach
Michael W. Mahoney
AI4CEPINN
71
141
0
26 May 2019
Human Gait Database for Normal Walk Collected by Smartphone Accelerometer
Amir Vajdi
Mohammad Reza Zaghian
Nazli Rafei Dehkordi
E. Rastegari
Kian Maroofi
Saman Farahmand
Shaohua Jia
M. Pomplun
Nurit Haspel
Akram Bayat
CVBM
25
14
0
04 May 2019
An Empirical Evaluation of Generic Convolutional and Recurrent Networks
  for Sequence Modeling
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
DRL
97
4,845
0
04 Mar 2018
prDeep: Robust Phase Retrieval with a Flexible Deep Network
prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher A. Metzler
Philip Schniter
Ashok Veeraraghavan
Richard G. Baraniuk
OOD
83
170
0
01 Mar 2018
Deep learning for universal linear embeddings of nonlinear dynamics
Deep learning for universal linear embeddings of nonlinear dynamics
Bethany Lusch
J. Nathan Kutz
Steven L. Brunton
81
1,259
0
27 Dec 2017
Linearly-Recurrent Autoencoder Networks for Learning Dynamics
Linearly-Recurrent Autoencoder Networks for Learning Dynamics
Samuel E. Otto
C. Rowley
AI4CE
53
326
0
04 Dec 2017
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
AI4CEBDL
157
361
0
30 Oct 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Naoya Takeishi
Yoshinobu Kawahara
Takehisa Yairi
49
374
0
12 Oct 2017
Learning Deep Neural Network Representations for Koopman Operators of
  Nonlinear Dynamical Systems
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems
Enoch Yeung
Soumya Kundu
Nathan Oken Hodas
AI4CE
74
387
0
22 Aug 2017
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
601
12,741
0
11 Dec 2014
A Clockwork RNN
A Clockwork RNN
Jan Koutník
Klaus Greff
Faustino J. Gomez
Jürgen Schmidhuber
86
500
0
14 Feb 2014
Optoelectronic Reservoir Computing
Optoelectronic Reservoir Computing
Y. Paquot
F. Duport
A. Smerieri
J. Dambre
B. Schrauwen
M. Haelterman
Serge Massar
77
699
0
30 Nov 2011
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