2 papers
cs.LG2025
Probabilistic Digital Twins of Users: Latent Representation Learning with Statistically Validated Semantics
Daniel David
Understanding user identity and behavior is central to applications such as personalization, recommendation, and decision support. Most existing approaches rely on deterministic em…
eess.IV2025
Linear Algebraic Approaches to Neuroimaging Data Compression: A Comparative Analysis of Matrix and Tensor Decomposition Methods for High-Dimensional Medical Images
Jaeho Kim, Daniel David, Ana Vizitiv
This paper evaluates Tucker decomposition and Singular Value Decomposition (SVD) for compressing neuroimaging data. Tucker decomposition preserves multi-dimensional relationships,…