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Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing

Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing

Andrew Shannon
Conor Houghton
David Barton
Martin Homer
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Papers citing "Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing"

12 / 12 papers shown
Title
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Niclas Alexander Göring
Florian Hess
Manuel Brenner
Zahra Monfared
Daniel Durstewitz
AI4CE
52
15
0
28 Feb 2024
Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstruction
Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstruction
J. D. Hart
64
6
0
30 Dec 2023
Embedding Theory of Reservoir Computing and Reducing Reservoir Network Using Time Delays
Embedding Theory of Reservoir Computing and Reducing Reservoir Network Using Time Delays
Xing-Yue Duan
Xiong Ying
Siyang Leng
Jürgen Kurths
Wei Lin
Huanfei Ma
34
21
0
16 Mar 2023
Catch-22s of reservoir computing
Catch-22s of reservoir computing
Yuanzhao Zhang
Sean P. Cornelius
36
12
0
18 Oct 2022
Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling
Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling
Yonggi Park
Kelum Gajamannage
D. Jayathilake
Erik Bollt
AI4CE
46
20
0
14 Feb 2022
Parallel Machine Learning for Forecasting the Dynamics of Complex Networks
Parallel Machine Learning for Forecasting the Dynamics of Complex Networks
Keshav Srinivasan
Nolan J. Coble
J. Hamlin
Thomas Antonsen
Edward Ott
M. Girvan
AI4TS
16
27
0
27 Aug 2021
Next Generation Reservoir Computing
Next Generation Reservoir Computing
D. Gauthier
Erik Bollt
Aaron Griffith
W. A. S. Barbosa
36
395
0
14 Jun 2021
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time
Yusuke Sakemi
K. Morino
T. Leleu
Kazuyuki Aihara
46
20
0
11 Jun 2020
Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius
Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius
Junjie Jiang
Y. Lai
22
105
0
10 Oct 2019
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model
Jaideep Pathak
Alexander Wikner
Rebeckah K. Fussell
Sarthak Chandra
Brian Hunt
M. Girvan
Edward Ott
30
286
0
09 Mar 2018
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
F. Bianchi
E. Maiorino
Michael C. Kampffmeyer
A. Rizzi
Robert Jenssen
AI4TS
78
218
0
11 May 2017
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
157
6,760
0
03 Sep 2014