3 papers
cs.CV2026
Robustness of Similarity-based Positional Encoding Under Rotations: Theoretical Analysis and Experimental Validation
Andrea Santomauro, Luigi Portinale, Giorgio Leonardi
Positional encoding is a fundamental component of Transformer architectures, as it injects information about the spatial or sequential arrangement of inputs. Among recent alternati…
cs.CV2024
Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype Classification
Annalisa Chiocchetti, Marco Dossena, Christopher Irwin +1
This work contributes to breast cancer sub-type classification using histopathological images. We utilize masked autoencoders (MAEs) to learn a self-supervised embedding tailored f…
cs.LG2024
Graph Neural Networks for Gut Microbiome Metaomic data: A preliminary work
Christopher Irwin, Flavio Mignone, Stefania Montani +1
The gut microbiome, crucial for human health, presents challenges in analyzing its complex metaomic data due to high dimensionality and sparsity. Traditional methods struggle to ca…