Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series

Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series

4 November 2021

Carlo Tombolini

Daniel Durstewitz

Papers citing "Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series"

10 / 10 papers shown

Title
Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Roussel Desmond Nzoyem David A.W. Barton Tom Deakin 74 1 0 07 Feb 2025
A scalable generative model for dynamical system reconstruction from neuroimaging data Eric Volkmann Alena Brändle Daniel Durstewitz G. Koppe AI4CE 28 1 0 05 Nov 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction Manuel Brenner Christoph Jurgen Hemmer Zahra Monfared Daniel Durstewitz AI4CE 38 1 0 18 Oct 2024
Extending Contextual Self-Modulation: Meta-Learning Across Modalities, Task Dimensionalities, and Data Regimes Roussel Desmond Nzoyem David A.W. Barton Tom Deakin 35 2 0 02 Oct 2024
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction Christoph Jurgen Hemmer Manuel Brenner Florian Hess Daniel Durstewitz 36 3 0 07 Jun 2024
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 33 0 0 16 May 2024
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 10 0 0 01 Sep 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics Florian Hess Zahra Monfared Manuela Brenner Daniel Durstewitz AI4CE 27 30 0 07 Jun 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics Manuela Brenner Florian Hess G. Koppe Daniel Durstewitz 28 9 0 15 Dec 2022
On the difficulty of learning chaotic dynamics with RNNs Jonas M. Mikhaeil Zahra Monfared Daniel Durstewitz 59 51 0 14 Oct 2021