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q-bio.QM2026
Brain Age Gap Progression in Individuals at Risk for Neurodegeneration
Jason Scheffel, Saurabh Sihag
Neuroimaging is a widely used modality for characterizing neurodegeneration in various health conditions. Brain age gap has emerged as a promising biomarker for monitoring brain he…
q-bio.QM2026
Covariance Eigenspace Provides Latent Attribution of Longitudinal Effects in Brain Age Gap
Jason Scheffel, Saurabh Sihag
Brain age gap is a promising machine learning (ML)-driven bio\-marker of accelerated biological aging and is derived from neuroimaging data. Recent works on coVariance neural netwo…
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…