Zahra Monfared

19 papers A* 8Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures.
CoRR
Sucheta Ghosh, Zahra Monfared, Felix Dietrich
2026 J jnl
Electrocardiogram Classification with Transformers Using Koopman and Wavelet Features.
CoRR
Sucheta Ghosh, Zahra Monfared
2026 J jnl
Multimodal Deep Learning for Dynamic and Static Neuroimaging: Integrating MRI and fMRI for Alzheimer Disease Analysis.
CoRR
Anima Kujur, Zahra Monfared
2025 J jnl
Detecting Invariant Manifolds in ReLU-Based RNNs.
CoRR
Lukas Eisenmann, Alena Brändle, Zahra Monfared, Daniel Durstewitz
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 J jnl
Gradient-free training of recurrent neural networks.
CoRR
Erik Lien Bolager, Ana Cukarska, Iryna Burak, Zahra Monfared, Felix Dietrich
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
Bifurcations and loss jumps in RNN training.
NeurIPS
Lukas Eisenmann, Zahra Monfared, Niclas Alexander Göring, Daniel Durstewitz
2023 J jnl
Bifurcations and loss jumps in RNN training.
CoRR
Lukas Eisenmann, Zahra Monfared, Niclas Alexander Göring, 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 A* conf
On the difficulty of learning chaotic dynamics with RNNs.
NeurIPS
Jonas M. Mikhaeil, Zahra Monfared, 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
2021 J jnl
How to train RNNs on chaotic data?
CoRR
Zahra Monfared, Jonas M. Mikhaeil, Daniel Durstewitz
2021 A* conf
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies.
ICLR
Dominik Schmidt, Georgia Koppe, Zahra Monfared, Max Beutelspacher, Daniel Durstewitz
2020 A* conf
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time.
ICML
Zahra Monfared, Daniel Durstewitz