2 papers
stat.ML2026
Adaptive RBF-KAN: A Comparative Evaluation of Dynamic Shape Parameters in Kolmogorov-Arnold Networks
Roberto Cavoretto, Alessandra De Rossi, Adeeba Haider +1
Kolmogorov-Arnold Networks (KANs) approximate multivariate functions using learnable univariate edge functions, typically parameterized by B-spline bases. Although effective, splin…
math.NA2026
Graph Neural Networks for Community Detection in Graph Signal Analysis
Roberto Cavoretto, Alessandra De Rossi, Enrico Montini
Community detection is a central problem in graph analysis, with applications ranging from network science to graph signal processing. In recent years, Graph Neural Networks (GNNs)…