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Out-of-Domain Generalization in Dynamical Systems Reconstruction

Out-of-Domain Generalization in Dynamical Systems Reconstruction

28 February 2024
Niclas Alexander Göring
Florian Hess
Manuel Brenner
Zahra Monfared
Daniel Durstewitz
    AI4CE
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Papers citing "Out-of-Domain Generalization in Dynamical Systems Reconstruction"

13 / 13 papers shown
Title
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
135
1
0
10 Mar 2025
How more data can hurt: Instability and regularization in next-generation reservoir computing
How more data can hurt: Instability and regularization in next-generation reservoir computing
Yuanzhao Zhang
Edmilson Roque dos Santos
Sean P. Cornelius
82
2
0
28 Jan 2025
When are dynamical systems learned from time series data statistically
  accurate?
When are dynamical systems learned from time series data statistically accurate?
Jeongjin Park
Nicole Yang
Nisha Chandramoorthy
AI4TS
36
4
0
09 Nov 2024
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
23
0
0
07 Nov 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
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
37
4
0
24 Sep 2024
Homotopy-based training of NeuralODEs for accurate dynamics discovery
Homotopy-based training of NeuralODEs for accurate dynamics discovery
Joon-Hyuk Ko
Hankyul Koh
Nojun Park
W. Jhe
43
8
0
04 Oct 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Manuela Brenner
Florian Hess
Jonas M. Mikhaeil
Leonard Bereska
Zahra Monfared
Po-Chen Kuo
Daniel Durstewitz
AI4CE
37
29
0
06 Jul 2022
A Systematic Exploration of Reservoir Computing for Forecasting Complex
  Spatiotemporal Dynamics
A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics
Jason A. Platt
S. Penny
T. A. Smith
Tse-Chun Chen
H. Abarbanel
AI4TS
38
32
0
21 Jan 2022
On the difficulty of learning chaotic dynamics with RNNs
On the difficulty of learning chaotic dynamics with RNNs
Jonas M. Mikhaeil
Zahra Monfared
Daniel Durstewitz
59
51
0
14 Oct 2021
Learning Dynamics from Noisy Measurements using Deep Learning with a
  Runge-Kutta Constraint
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint
P. Goyal
P. Benner
32
9
0
23 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
217
2,287
0
18 Oct 2020
Recurrent switching linear dynamical systems
Recurrent switching linear dynamical systems
Scott W. Linderman
Andrew C. Miller
Ryan P. Adams
David M. Blei
Liam Paninski
Matthew J. Johnson
36
69
0
26 Oct 2016
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