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A Systematic Exploration of Reservoir Computing for Forecasting Complex
  Spatiotemporal Dynamics

A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics

21 January 2022
Jason A. Platt
S. Penny
T. A. Smith
Tse-Chun Chen
H. Abarbanel
    AI4TS
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Papers citing "A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics"

12 / 12 papers shown
Title
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in
  Dynamical Systems Reconstruction
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
Manuel Brenner
Christoph Jurgen Hemmer
Zahra Monfared
Daniel Durstewitz
AI4CE
33
0
0
18 Oct 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Manuel Brenner
Elias Weber
G. Koppe
Daniel Durstewitz
AI4TS
AI4CE
36
3
0
07 Oct 2024
4D-Var using Hessian approximation and backpropagation applied to
  automatically-differentiable numerical and machine learning models
4D-Var using Hessian approximation and backpropagation applied to automatically-differentiable numerical and machine learning models
Kylen Solvik
Stephen G. Penny
Stephan Hoyer
19
2
0
05 Aug 2024
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
32
10
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
17
6
0
30 Dec 2023
Tuning the activation function to optimize the forecast horizon of a
  reservoir computer
Tuning the activation function to optimize the forecast horizon of a reservoir computer
Lauren A. Hurley
Juan G. Restrepo
Sean E. Shaheen
18
4
0
20 Dec 2023
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and
  Mixed Variables Gaussian Processes
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes
P. Saves
R. Lafage
N. Bartoli
Y. Diouane
J. Bussemaker
T. Lefebvre
John T. Hwang
J. Morlier
J. Martins
MoE
11
60
0
23 May 2023
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural
  Network Emulators of Geophysical Turbulence
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence
T. A. Smith
S. Penny
Jason A. Platt
Tse-Chun Chen
22
5
0
28 Apr 2023
Constraining Chaos: Enforcing dynamical invariants in the training of
  recurrent neural networks
Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks
Jason A. Platt
S. Penny
T. A. Smith
Tse-Chun Chen
H. Abarbanel
AI4TS
33
5
0
24 Apr 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex
  Dynamics
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
Manuela Brenner
Florian Hess
G. Koppe
Daniel Durstewitz
18
9
0
15 Dec 2022
Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing
Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing
W. A. S. Barbosa
D. Gauthier
25
32
0
24 Mar 2022
MetNet: A Neural Weather Model for Precipitation Forecasting
MetNet: A Neural Weather Model for Precipitation Forecasting
C. Sønderby
L. Espeholt
Jonathan Heek
Mostafa Dehghani
Avital Oliver
Tim Salimans
Shreya Agrawal
Jason Hickey
Nal Kalchbrenner
AI4Cl
222
273
0
24 Mar 2020
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