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Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series

Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series

4 November 2021
Daniel Kramer
P. Bommer
Carlo Tombolini
G. Koppe
Daniel Durstewitz
    BDL
    AI4TS
    AI4CE
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Papers citing "Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series"

11 / 11 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
66
0
0
19 May 2025
Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts
Roussel Desmond Nzoyem
David A.W. Barton
Tom Deakin
93
2
0
07 Feb 2025
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
45
2
0
05 Nov 2024
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 Jürgen Hemmer
Zahra Monfared
Daniel Durstewitz
AI4CE
43
2
0
18 Oct 2024
Extending Contextual Self-Modulation: Meta-Learning Across Modalities,
  Task Dimensionalities, and Data Regimes
Extending Contextual Self-Modulation: Meta-Learning Across Modalities, Task Dimensionalities, and Data Regimes
Roussel Desmond Nzoyem
David A.W. Barton
Tom Deakin
48
2
0
02 Oct 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
43
4
0
07 Jun 2024
MTLComb: multi-task learning combining regression and classification
  tasks for joint feature selection
MTLComb: multi-task learning combining regression and classification tasks for joint feature selection
Han Cao
Sivanesan Rajan
Bianka Hahn
Ersoy Kocak
Daniel Durstewitz
Emanuel Schwarz
Verena Schneider-Lindner
46
0
0
16 May 2024
Learning multi-modal generative models with permutation-invariant
  encoders and tighter variational bounds
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds
Marcel Hirt
Domenico Campolo
Victoria Leong
Juan-Pablo Ortega
DRL
23
0
0
01 Sep 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics
Generalized Teacher Forcing for Learning Chaotic Dynamics
Florian Hess
Zahra Monfared
Manuela Brenner
Daniel Durstewitz
AI4CE
40
32
0
07 Jun 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
42
10
0
15 Dec 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
73
53
0
14 Oct 2021
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