3 papers
cond-mat.stat-mech2026
Alternative routes to universal diversity scaling in component systems: from proteomes to large language models
Andrea Mazzolini, Leonardo Agasso, Filippo Valle +3
Remarkably common statistical laws characterize the diversity scaling and its fluctuations across a wide range of complex "component systems". These regularities are often interpre…
cs.LG2025
The Advantage of Fine-Grained Training
Davide Pirovano, Federico Milanesio, Michele Caselle +2
In classification problems, models are trained to predict a class label based on the input data features. However, class labels are organized hierarchically in many datasets. While…
cond-mat.stat-mech2025
Ranking nodes in bipartite systems with a non-linear iterative map
Andrea Mazzolini, Michele Caselle, Matteo Osella
Ranking nodes in networks according to a defined measure of importance is an extensively studied task, with applications in ecology, economic trade networks, and social networks. T…