3 papers
cs.CV2026
Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis
Samuele Punzo, Niccolò Caselli, Ippokratis Pantelidis +3
We study whether pretrained video foundation models encode intuitive-physics information in their frozen representations, and how this information varies across model families, lay…
q-bio.GN2026
Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data
Francesco Massafra, Samuele Punzo, Silvia Giulia Galfré +8
Multiple Sclerosis (MS) is a chronic autoimmune disease of the central nervous system whose molecular mechanisms remain incompletely understood. In this study, we developed an end-…
cs.LG2025
A Machine Learning Pipeline for Multiple Sclerosis Biomarker Discovery: Comparing explainable AI and Traditional Statistical Approaches
Samuele Punzo, Silvia Giulia Galfrè, Francesco Massafra +3
We present a machine learning pipeline for biomarker discovery in Multiple Sclerosis (MS), integrating eight publicly available microarray datasets from Peripheral Blood Mononuclea…