activity
20202026
most citedOn the training of sparse and dense deep neural networks: less parameters, same performance

13 citations · 35 across the 16 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cond-mat.dis-nn2025

Train Stochastic Non Linear Coupled ODEs to Classify and Generate

Stefano Gagliani, Feliciano Giuseppe Pacifico, Lorenzo Chicchi +4

A general class of dynamical systems which can be trained to operate in classification and generation modes are introduced. A procedure is proposed to plant asymptotic stationary a…

cs.LG2025

Spectral Architecture Search for Neural Network Models

Gianluca Peri, Lorenzo Chicchi, Duccio Fanelli +1

Architecture design and optimization are challenging problems in the field of artificial neural networks. Working in this context, we here present SPARCS (SPectral ARchiteCture Sea…