arXiv cs.LG
· Papers
Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis
arXiv:2607.22262v1 Announce Type: cross Abstract: Modeling shared and subject-specific structure in multisubject spatiotemporal data remains challenging, particularly in neuroimaging, where both spatial and temporal patterns exhibit rich variability across subjects. Existing matrix and tensor decompositions provide int