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2108.04074
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Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing
6 August 2021
André Röhm
D. Gauthier
Ingo Fischer
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Papers citing
"Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing"
17 / 17 papers shown
Title
Denoising and Reconstruction of Nonlinear Dynamics using Truncated Reservoir Computing
Omid Sedehi
Manish Yadav
M. Stender
S. Oberst
16
0
0
17 Apr 2025
How more data can hurt: Instability and regularization in next-generation reservoir computing
Yuanzhao Zhang
Edmilson Roque dos Santos
Sean P. Cornelius
85
2
0
28 Jan 2025
Unsupervised Learning in Echo State Networks for Input Reconstruction
Taiki Yamada
Yuichi Katori
Kantaro Fujiwara
31
0
0
20 Jan 2025
Thermodynamic limit in learning period three
Yuichiro Terasaki
Kohei Nakajima
40
1
0
12 May 2024
Chaotic attractor reconstruction using small reservoirs -- the influence of topology
Lina Jaurigue
AI4TS
18
9
0
23 Feb 2024
Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstruction
J. D. Hart
22
6
0
30 Dec 2023
Inferring Attracting Basins of Power System with Machine Learning
Yao Du
Qing Li
Huawei Fan
Mengyuan Zhan
Jinghua Xiao
Xingang Wang
20
5
0
20 May 2023
Learning unidirectional coupling using echo-state network
S. Mandal
M. Shrimali
17
6
0
23 Mar 2023
Reservoir Computing with Noise
Chad Nathe
C. Pappu
N. Mecholsky
Joseph D. Hart
Thomas L. Carroll
F. Sorrentino
36
14
0
28 Feb 2023
Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing
Kohei Tsuchiyama
André Röhm
Takatomo Mihana
R. Horisaki
Makoto Naruse
15
6
0
27 Jan 2023
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization
Alexander Wikner
Joseph Harvey
M. Girvan
Brian R. Hunt
Andrew Pomerance
Thomas Antonsen
Edward Ott
21
6
0
09 Nov 2022
Catch-22s of reservoir computing
Yuanzhao Zhang
Sean P. Cornelius
21
10
0
18 Oct 2022
Learning unseen coexisting attractors
D. Gauthier
Ingo Fischer
André Röhm
19
22
0
28 Jul 2022
Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing
Leonard Bereska
E. Gavves
24
6
0
27 Jun 2022
Exploring the limits of multifunctionality across different reservoir computers
Andrew Flynn
O. Heilmann
Daniel Köglmayr
V. Tsachouridis
Christoph Räth
Andreas Amann
28
4
0
23 May 2022
Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks
Mirko Goldmann
C. Mirasso
Ingo Fischer
Miguel C. Soriano
AI4CE
32
7
0
05 Nov 2021
Master memory function for delay-based reservoir computers with single-variable dynamics
F. Köster
S. Yanchuk
K. Lüdge
26
5
0
28 Aug 2021
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