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Manuel Brenner
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2020 – today
- 2025
- [c7]Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz:
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data. ICLR 2025 - 2024
- [b1]Manuel Brenner:
Learning Interpretable Dynamical Systems Models from Multimodal Empirical Time Series. University of Heidelberg, Germany, 2024 - [c6]Manuel Brenner, Florian Hess, Georgia Koppe, Daniel Durstewitz:
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics. ICML 2024 - [c5]Niclas Alexander Göring, Florian Hess, Manuel Brenner, Zahra Monfared, Daniel Durstewitz:
Out-of-Domain Generalization in Dynamical Systems Reconstruction. ICML 2024 - [c4]Christoph Jürgen Hemmer, Manuel Brenner, Florian Hess, Daniel Durstewitz:
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction. ICML 2024 - [c3]Manuel Brenner, Christoph Jürgen Hemmer, Zahra Monfared, Daniel Durstewitz:
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction. NeurIPS 2024 - [i7]Niclas Alexander Göring, Florian Hess, Manuel Brenner, Zahra Monfared, Daniel Durstewitz:
Out-of-Domain Generalization in Dynamical Systems Reconstruction. CoRR abs/2402.18377 (2024) - [i6]Christoph Jürgen Hemmer, Manuel Brenner, Florian Hess, Daniel Durstewitz:
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction. CoRR abs/2406.04934 (2024) - [i5]Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz:
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data. CoRR abs/2410.04814 (2024) - [i4]Manuel Brenner, Christoph Jürgen Hemmer, Zahra Monfared, Daniel Durstewitz:
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction. CoRR abs/2410.14240 (2024) - 2023
- [c2]Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz:
Generalized Teacher Forcing for Learning Chaotic Dynamics. ICML 2023: 13017-13049 - [i3]Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz:
Generalized Teacher Forcing for Learning Chaotic Dynamics. CoRR abs/2306.04406 (2023) - 2022
- [c1]Manuel Brenner, Florian Hess, Jonas M. Mikhaeil
, Leonard F. Bereska, Zahra Monfared, Po-Chen Kuo, Daniel Durstewitz:
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems. ICML 2022: 2292-2320 - [i2]Manuel Brenner, Florian Hess, Jonas M. Mikhaeil, Leonard F. Bereska, Zahra Monfared, Po-Chen Kuo, Daniel Durstewitz:
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems. CoRR abs/2207.02542 (2022) - [i1]Manuel Brenner, Georgia Koppe, Daniel Durstewitz:
Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems. CoRR abs/2212.07892 (2022)
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