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cs.LG2025★ 1 cited
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★ 2 cited
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…