2 papers
cond-mat.dis-nn2024
Training neural networks with structured noise improves classification and generalization
Marco Benedetti, Enrico Ventura
The beneficial role of noise-injection in learning is a consolidated concept in the field of artificial neural networks, suggesting that even biological systems might take advantag…
cond-mat.dis-nn2024
Unlearning regularization for Boltzmann Machines
Enrico Ventura, Simona Cocco, Rémi Monasson +1
Boltzmann Machines (BMs) are graphical models with interconnected binary units, employed for the unsupervised modeling of data distributions. When trained on real data, BMs show th…