activity
20182023
most citedJointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI

35 citations · 84 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.LG20212 cited

Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity

Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang +2

Heterogeneous presentation of a neurological disorder suggests potential differences in the underlying pathophysiological changes that occur in the brain. We propose to model heter…

cs.LG202111 cited

MALI: A memory efficient and reverse accurate integrator for Neural ODEs

Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda +1

Neural ordinary differential equations (Neural ODEs) are a new family of deep-learning models with continuous depth. However, the numerical estimation of the gradient in the contin…

cs.LG2020

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Juntang Zhuang, Tommy Tang, Yifan Ding +4

Most popular optimizers for deep learning can be broadly categorized as adaptive methods (e.g. Adam) and accelerated schemes (e.g. stochastic gradient descent (SGD) with momentum).…

cs.LG2020

Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results

Xiaoxiao Li, Yufeng Gu, Nicha Dvornek +3

Deep learning models have shown their advantage in many different tasks, including neuroimage analysis. However, to effectively train a high-quality deep learning model, the aggreg…

cs.LG20193 cited

Decision Explanation and Feature Importance for Invertible Networks

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li +2

Deep neural networks are vulnerable to adversarial attacks and hard to interpret because of their black-box nature. The recently proposed invertible network is able to accurately r…

cs.LG201914 cited

Graph Neural Network for Interpreting Task-fMRI Biomarkers

Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou +3

Finding the biomarkers associated with ASD is helpful for understanding the underlying roots of the disorder and can lead to earlier diagnosis and more targeted treatment. A promis…