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20242026
most citedTowards a Foundation Model for Brain Age Prediction using coVariance Neural Networks

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2026

Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs

Saurabh Sihag, Andrea Cavallo, Elvin Isufi +2

This feature article provides an overview of the theoretical foundations for coVariance neural networks (VNNs), i.e., graph neural networks (GNNs) operating on covariance matrices…

cs.LG2025

Explainable Brain Age Gap Prediction in Neurodegenerative Conditions using coVariance Neural Networks

Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro

Brain age is the estimate of biological age derived from neuroimaging datasets using machine learning algorithms. Increasing \textit{brain age gap} characterized by an elevated bra…