Brenner, Manuel

8 publications

TMLR 2026 Uncovering the Computational Roles of Nonlinearity in Sequence Modeling Using Almost-Linear RNNs Manuel Brenner, Georgia Koppe

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

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

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