Durstewitz, Daniel

16 publications

ICLR 2025 Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz

NeurIPS 2025 True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Christoph Jürgen Hemmer, Daniel Durstewitz

NeurIPS 2024 A Scalable Generative Model for Dynamical System Reconstruction from Neuroimaging Data Eric Volkmann, Alena Brändle, Daniel Durstewitz, Georgia Koppe

NeurIPS 2024 Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction Manuel Brenner, Christoph Jürgen Hemmer, Zahra Monfared, Daniel Durstewitz

ICML 2024 Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics Manuel Brenner, Florian Hess, Georgia Koppe, Daniel Durstewitz

ICML 2024 Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction Christoph Jürgen Hemmer, Manuel Brenner, Florian Hess, Daniel Durstewitz

ICML 2024 Out-of-Domain Generalization in Dynamical Systems Reconstruction Niclas Alexander Göring, Florian Hess, Manuel Brenner, Zahra Monfared, Daniel Durstewitz

NeurIPS 2023 Bifurcations and Loss Jumps in RNN Training Lukas Eisenmann, Zahra Monfared, Niclas Göring, Daniel Durstewitz

ICML 2023 Generalized Teacher Forcing for Learning Chaotic Dynamics Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz

NeurIPS 2022 On the Difficulty of Learning Chaotic Dynamics with RNNs Jonas Mikhaeil, Zahra Monfared, Daniel Durstewitz

ICML 2022 Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series Daniel Kramer, Philine L Bommer, Carlo Tombolini, Georgia Koppe, Daniel Durstewitz

ICML 2022 Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems Manuel Brenner, Florian Hess, Jonas M Mikhaeil, Leonard F Bereska, Zahra Monfared, Po-Chen Kuo, Daniel Durstewitz

ICLR 2021 Identifying Nonlinear Dynamical Systems with Multiple Time Scales and Long-Range Dependencies Dominik Schmidt, Georgia Koppe, Zahra Monfared, Max Beutelspacher, Daniel Durstewitz

ICML 2020 Transformation of ReLU-Based Recurrent Neural Networks from Discrete-Time to Continuous-Time Zahra Monfared, Daniel Durstewitz

ICLR 2019 LeMoNADe: Learned Motif and Neuronal Assembly Detection in Calcium Imaging Videos Elke Kirschbaum, Manuel Haußmann, Steffen Wolf, Hannah Sonntag, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A Hamprecht

NeurIPS 2017 Sparse Convolutional Coding for Neuronal Assembly Detection Sven Peter, Elke Kirschbaum, Martin Both, Lee Campbell, Brandon Harvey, Conor Heins, Daniel Durstewitz, Ferran Diego, Fred A. Hamprecht