2 papers
cond-mat.dis-nn2026
Inferring Concepts from Noisy Examples in Hopfield-like Neural Networks
Marco Benedetti, Giulia Fischetti, Enzo Marinari +2
We study a variant of the pseudo-inverse learning rule for Hopfield-like Neural Networks, which allows the network to infer archetypal concepts on the basis of a limited number of…
cond-mat.dis-nn2021
Recognition Capabilities of a Hopfield Model with Auxiliary Hidden Neurons
Marco Benedetti, Victor Dotsenko, Giulia Fischetti +2
We study the recognition capabilities of the Hopfield model with auxiliary hidden layers, which emerge naturally upon a Hubbard-Stratonovich transformation. We show that the recogn…