2 papers
stat.ME2026
Graph-dependent shrinkage priors for Bayesian trend filtering
Andrea Mascaretti, Daniel R. Kowal
Many common data dependencies can be characterized by graphs: time series data are sequential (chain graph), images appear as pixels (lattice graph), areal data are defined by neig…
cs.CL2025
A quantitative analysis of semantic information in deep representations of text and images
Santiago Acevedo, Andrea Mascaretti, Riccardo Rende +3
It was recently observed that the representations of different models that process identical or semantically related inputs tend to align. We analyze this phenomenon using the Info…