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Z. Monfared

14 papers hereh-index 11482 citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author9
  • last author3

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • math.DS2
  • cs.CV1
  • eess.SP1
same name
  • Z. Monfared — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedOn the difficulty of learning chaotic dynamics with RNNs

17 citations · 42 across the 13 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.LG2026

Learning Generalizable Reconstruction of High-Dimensional Neural Dynamics

Anima Kujur, Zahra Monfared

Accurate reconstruction of long-duration neural recordings is challenging because local field potentials (LFPs) are high-resolution, multichannel, transient, and variable across su…

cs.CV2026

Multimodal Deep Learning for Dynamic and Static Neuroimaging: Integrating MRI and fMRI for Alzheimer Disease Analysis

Anima Kujur, Zahra Monfared

Magnetic Resonance Imaging (MRI) provides detailed structural information, while functional MRI (fMRI) captures temporal brain activity. In this work, we present a multimodal deep…

eess.SP2026

Electrocardiogram Classification with Transformers Using Koopman and Wavelet Features

Sucheta Ghosh, Zahra Monfared

Electrocardiogram (ECG) analysis is vital for detecting cardiac abnormalities, yet robust automated classification is challenging due to the complexity and variability of physiolog…

cs.LG2026

Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures

Sucheta Ghosh, Felix Dietrich, Zahra Monfared

We introduce a two-stage multitask learning framework for analyzing Electroencephalography (EEG) signals that integrates denoising, dynamical modeling, and representation learning.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.