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Generalized Teacher Forcing for Learning Chaotic Dynamics

Generalized Teacher Forcing for Learning Chaotic Dynamics

7 June 2023
Florian Hess
Zahra Monfared
Manuela Brenner
Daniel Durstewitz
    AI4CE
ArXivPDFHTML

Papers citing "Generalized Teacher Forcing for Learning Chaotic Dynamics"

13 / 13 papers shown
Title
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
Christoph Jürgen Hemmer
Daniel Durstewitz
AI4TS
SyDa
AI4CE
17
0
0
19 May 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
41
4
0
09 Nov 2024
A scalable generative model for dynamical system reconstruction from
  neuroimaging data
A scalable generative model for dynamical system reconstruction from neuroimaging data
Eric Volkmann
Alena Brändle
Daniel Durstewitz
G. Koppe
AI4CE
33
2
0
05 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
44
4
0
07 Oct 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
44
6
0
24 Sep 2024
Latent Diffusion for Neural Spiking Data
Latent Diffusion for Neural Spiking Data
J. Kapoor
Auguste Schulz
Julius Vetter
Felix Pei
Richard Gao
Jakob H. Macke
DiffM
45
2
0
27 Jun 2024
Inferring stochastic low-rank recurrent neural networks from neural data
Inferring stochastic low-rank recurrent neural networks from neural data
Matthijs Pals
A Erdem Sağtekin
Felix Pei
Manuel Gloeckler
Jakob H Macke
43
7
0
24 Jun 2024
Optimal Recurrent Network Topologies for Dynamical Systems
  Reconstruction
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
Christoph Jürgen Hemmer
Manuel Brenner
Florian Hess
Daniel Durstewitz
40
4
0
07 Jun 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic
  Systems
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
Yair Schiff
Zhong Yi Wan
Jeffrey B. Parker
Stephan Hoyer
Volodymyr Kuleshov
Fei Sha
Leonardo Zepeda-Núñez
38
13
0
06 Feb 2024
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
33
10
0
15 Dec 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
42
30
0
06 Jul 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
70
53
0
14 Oct 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
271
2,315
0
18 Oct 2020
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