35 citations · 106 across the 15 of their papers we have counts for
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cond-mat.dis-nn2022★ 35 cited
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit
R. Pacelli, S. Ariosto, M. Pastore +3
Despite the practical success of deep neural networks, a comprehensive theoretical framework that can predict practically relevant scores, such as the test accuracy, from knowledge…
cond-mat.dis-nn2022★ 1 cited
Satisfiability transition in asymmetric neural networks
Fabián Aguirre-López, Mauro Pastore, Silvio Franz
Asymmetry in the synaptic interactions between neurons plays a crucial role in determining the memory storage and retrieval properties of recurrent neural networks. In this work, w…