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Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI

19 February 2019

Papers citing "Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI"

27 / 27 papers shown

Title
POCO: Scalable Neural Forecasting through Population Conditioning Yu Duan Hamza Tahir Chaudhry Misha B. Ahrens Christopher D Harvey Matthew G Perich Karl Deisseroth Kanaka Rajan AI4CE 15 0 0 17 Jun 2025
Neural Functions for Learning Periodic Signal Woojin Cho Minju Jo Kookjin Lee Noseong Park 67 1 0 11 Jun 2025
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Christoph Jürgen Hemmer Daniel Durstewitz AI4TS SyDa AI4CE 292 1 0 19 May 2025
Panda: A pretrained forecast model for universal representation of chaotic dynamics Jeffrey Lai Anthony Bao William Gilpin AI4TS AI4CE 93 0 0 19 May 2025
A scalable generative model for dynamical system reconstruction from neuroimaging data Eric Volkmann Alena Brändle Daniel Durstewitz G. Koppe AI4CE 61 2 0 05 Nov 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction Manuel Brenner Christoph Jürgen Hemmer Zahra Monfared Daniel Durstewitz AI4CE 68 4 0 18 Oct 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling Zijie Huang Wanjia Zhao Jingdong Gao Ziniu Hu Xiao Luo Yadi Cao Yuanzhou Chen Yizhou Sun Wei Wang PINN AI4CE 48 2 0 08 Oct 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 111 8 0 07 Oct 2024
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction Christoph Jürgen Hemmer Manuel Brenner Florian Hess Daniel Durstewitz 101 4 0 07 Jun 2024
When predict can also explain: few-shot prediction to select better neural latents Kabir V. Dabholkar Omri Barak BDL 125 0 0 23 May 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction Niclas Alexander Göring Florian Hess Manuel Brenner Zahra Monfared Daniel Durstewitz AI4CE 102 16 0 28 Feb 2024
Generative learning for nonlinear dynamics William Gilpin AI4CE PINN 123 27 0 07 Nov 2023
Bifurcations and loss jumps in RNN training Lukas Eisenmann Zahra Monfared Niclas Alexander Göring Daniel Durstewitz 274 11 0 26 Oct 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics Florian Hess Zahra Monfared Manuela Brenner Daniel Durstewitz AI4CE 257 36 0 07 Jun 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 106 78 0 21 May 2023
Recurrences reveal shared causal drivers of complex time series W. Gilpin CML AI4TS 76 8 0 31 Jan 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics Manuela Brenner Florian Hess G. Koppe Daniel Durstewitz 278 11 0 15 Dec 2022
Flipped Classroom: Effective Teaching for Time Series Forecasting P. Teutsch Patrick Mäder AI4TS 59 8 0 17 Oct 2022
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 307 33 0 06 Jul 2022
Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data Eloy P. T. Geenjaar A. Kashyap N. Lewis Robyn L. Miller Vince D. Calhoun 61 1 0 26 May 2022
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series Daniel Kramer P. Bommer Carlo Tombolini G. Koppe Daniel Durstewitz BDL AI4TS AI4CE 147 20 0 04 Nov 2021
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems Jimmy T.H. Smith Scott W. Linderman David Sussillo 116 30 0 01 Nov 2021
On the difficulty of learning chaotic dynamics with RNNs Jonas M. Mikhaeil Zahra Monfared Daniel Durstewitz 127 59 0 14 Oct 2021
Chaos as an interpretable benchmark for forecasting and data-driven modelling W. Gilpin AI4TS 65 82 0 11 Oct 2021
Time-Reversal Symmetric ODE Network In Huh Eunho Yang Sung Ju Hwang Jinwoo Shin 100 20 0 22 Jul 2020
Physics-based polynomial neural networks for one-shot learning of dynamical systems from one or a few samples A. Ivanov U. Iben Anna Golovkina PINN 19 3 0 24 May 2020
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies Dominik Schmidt G. Koppe Zahra Monfared Max Beutelspacher Daniel Durstewitz AI4CE 23 6 0 08 Oct 2019