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ORCIDZahra Monfared
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2020 – today
- 2024
[c8]Niclas Alexander Göring, Florian Hess, Manuel Brenner, Zahra Monfared, Daniel Durstewitz:
Out-of-Domain Generalization in Dynamical Systems Reconstruction. ICML 2024- [c7]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]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) - [i5]Erik Lien Bolager
, Ana Cukarska, Iryna Burak, Zahra Monfared, Felix Dietrich:
Gradient-free training of recurrent neural networks. CoRR abs/2410.23467 (2024) - 2023
- [c6]Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz:
Generalized Teacher Forcing for Learning Chaotic Dynamics. ICML 2023: 13017-13049 - [c5]Lukas Eisenmann, Zahra Monfared, Niclas Alexander Göring, Daniel Durstewitz:
Bifurcations and loss jumps in RNN training. NeurIPS 2023 - [i4]Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz:
Generalized Teacher Forcing for Learning Chaotic Dynamics. CoRR abs/2306.04406 (2023) - [i3]Lukas Eisenmann, Zahra Monfared, Niclas Alexander Göring, Daniel Durstewitz:
Bifurcations and loss jumps in RNN training. CoRR abs/2310.17561 (2023) - 2022
- [c4]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 - [c3]Jonas M. Mikhaeil, Zahra Monfared, Daniel Durstewitz:
On the difficulty of learning chaotic dynamics with RNNs. NeurIPS 2022 - [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) - 2021
- [c2]Dominik Schmidt, Georgia Koppe, Zahra Monfared, Max Beutelspacher, Daniel Durstewitz:
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies. ICLR 2021 - [i1]Zahra Monfared, Jonas M. Mikhaeil, Daniel Durstewitz:
How to train RNNs on chaotic data? CoRR abs/2110.07238 (2021) - 2020
- [c1]Zahra Monfared, Daniel Durstewitz:
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time. ICML 2020: 6999-7009
Coauthor Index
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