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Daniel Durstewitz

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MTLComb: multi-task learning combining regression and classification tasks for joint feature selection

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May 16, 2024
Han Cao, Sivanesan Rajan, Bianka Hahn, Ersoy Kocak, Daniel Durstewitz, Emanuel Schwarz, Verena Schneider-Lindner

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Out-of-Domain Generalization in Dynamical Systems Reconstruction

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Feb 28, 2024
Niclas Göring, Florian Hess, Manuel Brenner, Zahra Monfared, Daniel Durstewitz

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Bifurcations and loss jumps in RNN training

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Oct 26, 2023
Lukas Eisenmann, Zahra Monfared, Niclas Alexander Göring, Daniel Durstewitz

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Generalized Teacher Forcing for Learning Chaotic Dynamics

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Jun 07, 2023
Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz

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Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems

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Dec 15, 2022
Manuel Brenner, Georgia Koppe, Daniel Durstewitz

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Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems

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Jul 06, 2022
Manuel Brenner, Florian Hess, Jonas M. Mikhaeil, Leonard Bereska, Zahra Monfared, Po-Chen Kuo, Daniel Durstewitz

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Identifying nonlinear dynamical systems from multi-modal time series data

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Nov 04, 2021
Philine Lou Bommer, Daniel Kramer, Carlo Tombolini, Georgia Koppe, Daniel Durstewitz

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How to train RNNs on chaotic data?

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Oct 14, 2021
Zahra Monfared, Jonas M. Mikhaeil, Daniel Durstewitz

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Inferring Dynamical Systems with Long-Range Dependencies through Line Attractor Regularization

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Oct 08, 2019
Dominik Schmidt, Georgia Koppe, Max Beutelspacher, Daniel Durstewitz

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

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Feb 19, 2019
Georgia Koppe, Hazem Toutounji, Peter Kirsch, Stefanie Lis, Daniel Durstewitz

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