Monfared, Zahra

9 publications

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 Out-of-Domain Generalization in Dynamical Systems Reconstruction Niclas Alexander Göring, Florian Hess, Manuel Brenner, Zahra Monfared, Daniel Durstewitz

NeurIPSW 2024 Role of Parametrization in Learning Dynamics of Recurrent Neural Networks Adwait Datar, Chinmay Datar, Zahra Monfared, Felix Dietrich

NeurIPS 2023 Bifurcations and Loss Jumps in RNN Training Lukas Eisenmann, Zahra Monfared, Niclas Göring, Daniel Durstewitz

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

NeurIPS 2022 On the Difficulty of Learning Chaotic Dynamics with RNNs Jonas Mikhaeil, Zahra Monfared, 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

ICLR 2021 Identifying Nonlinear Dynamical Systems with Multiple Time Scales and Long-Range Dependencies Dominik Schmidt, Georgia Koppe, Zahra Monfared, Max Beutelspacher, Daniel Durstewitz

ICML 2020 Transformation of ReLU-Based Recurrent Neural Networks from Discrete-Time to Continuous-Time Zahra Monfared, Daniel Durstewitz