Daydreaming Hopfield Networks and their surprising effectiveness on correlated data

Ludovica Serricchio, Dario Bocchi, Claudio Chilin, Raffaele Marino, Matteo Negri, Chiara Cammarota, Federico Ricci-Tersenghi

Abstract: Highlights•We train associative memories with an improved dreaming procedure called Daydreaming.•Daydreaming shows impressive performances in storing highly correlated data.•Daydreaming improves the retrieval of features hidden in the data, too.•Daydreaming generates a non-trivial structure of attractors on MNIST data.

External IDs:doi:10.1016/j.neunet.2025.107216