24 citations · 25 across the 2 of their papers we have counts for
2 papers
cond-mat.dis-nn2023★ 1 cited
Eigenvector Dreaming
Marco Benedetti, Louis Carillo, Enzo Marinari +1
Among the performance-enhancing procedures for Hopfield-type networks that implement associative memory, Hebbian Unlearning (or dreaming) strikes for its simplicity and its clear b…
cond-mat.dis-nn2022★ 24 cited
Supervised perceptron learning vs unsupervised Hebbian unlearning: Approaching optimal memory retrieval in Hopfield-like networks
Marco Benedetti, Enrico Ventura, Enzo Marinari +2
The Hebbian unlearning algorithm, i.e. an unsupervised local procedure used to improve the retrieval properties in Hopfield-like neural networks, is numerically compared to a super…