Jul 2026
Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis
This work introduces a spatiotemporal variational tensor decomposition (ST-VTD) framework that combines a tensor factorization generative model with structured priors to jointly represent spatial maps and temporal dynamics and significantly improves latent factor recovery.
L. Montaldo, R. Borsoi, Sebastian Miron et al.
· arXiv.org · 0 citations