2 papers
cs.LG2025
A kinetic-based regularization method for data science applications
Abhisek Ganguly, Alessandro Gabbana, Vybhav Rao +2
We propose a physics-based regularization technique for function learning, inspired by statistical mechanics. By drawing an analogy between optimizing the parameters of an interpol…
cs.LG2025
DBSCAN in domains with periodic boundary conditions
Xander M. de Wit, Alessandro Gabbana
Many scientific problems involve data that is embedded in a space with periodic boundary conditions. This can for instance be related to an inherent cyclic or rotational symmetry i…