Manuel Brenner

17 papers A* 7Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Uncovering the Computational Roles of Nonlinearity in Sequence Modeling Using Almost-Linear RNNs. Trans. Mach. Learn. Res. Manuel Brenner, Georgia Koppe
2025	A*	`conf`	Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data. ICLR Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz
2025	J	`jnl`	Uncovering the Functional Roles of Nonlinearity in Memory. CoRR Manuel Brenner, Georgia Koppe
2024	A*	`conf`	Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction. NeurIPS Manuel Brenner, Christoph Jürgen Hemmer, Zahra Monfared, Daniel Durstewitz
2024	J	`jnl`	Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction. CoRR Manuel Brenner, Christoph Jürgen Hemmer, Zahra Monfared, Daniel Durstewitz
2024	A*	`conf`	Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics. ICML Manuel Brenner, Florian Hess, Georgia Koppe, Daniel Durstewitz
2024	—	`—`	Learning Interpretable Dynamical Systems Models from Multimodal Empirical Time Series. Manuel Brenner
2024	J	`jnl`	Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data. CoRR Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz
2024	A*	`conf`	Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction. ICML Christoph Jürgen Hemmer, Manuel Brenner, Florian Hess, Daniel Durstewitz
2024	J	`jnl`	Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction. CoRR Christoph Jürgen Hemmer, Manuel Brenner, Florian Hess, Daniel Durstewitz
2024	A*	`conf`	Out-of-Domain Generalization in Dynamical Systems Reconstruction. ICML Niclas Alexander Göring, Florian Hess, Manuel Brenner, Zahra Monfared, Daniel Durstewitz
2024	J	`jnl`	Out-of-Domain Generalization in Dynamical Systems Reconstruction. CoRR Niclas Alexander Göring, Florian Hess, Manuel Brenner, Zahra Monfared, Daniel Durstewitz
2023	A*	`conf`	Generalized Teacher Forcing for Learning Chaotic Dynamics. ICML Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz
2023	J	`jnl`	Generalized Teacher Forcing for Learning Chaotic Dynamics. CoRR Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz
2022	J	`jnl`	Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems. CoRR Manuel Brenner, Georgia Koppe, Daniel Durstewitz
2022	A*	`conf`	Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems. ICML Manuel Brenner, Florian Hess, Jonas M. Mikhaeil, Leonard F. Bereska, Zahra Monfared, Po-Chen Kuo, Daniel Durstewitz
2022	J	`jnl`	Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems. CoRR Manuel Brenner, Florian Hess, Jonas M. Mikhaeil, Leonard F. Bereska, Zahra Monfared, Po-Chen Kuo, Daniel Durstewitz