From the 1 of 9 linked papers with an AI index.
9 papers
Semi-supervised Hopfield model: Theoretical and Numerical results
Linda Albanese, Andrea Ladiana, Andrea Lepre
The paper develops a statistical‑mechanical theory for semi‑supervised learning in Hopfield networks by mixing supervised and unsupervised Hebbian couplings, deriving performance t…
Partial annealing and pattern decorrelation in associative neural networks
Linda Albanese, Andrea Alessandrelli, Adriano Barra +2
Using the Hopfield model as a benchmark case, the present work focuses on the investigation of partially annealed associative neural networks, wherein neural dynamics is coupled to…
Dense Associative Memory with biased patterns: a Replica Symmetric analysis
Linda Albanese, Andrea Alessandrelli, Federico Carella
We investigate dense higher-order associative memories in the high storage regime when the stored patterns are biased, namely when the entries of the patterns are not symmetrically…
Serial vs parallel recall in the Blume-Every-Griffiths neural networks
Linda Albanese, Andrea Alessandrelli, Adriano Barra +1
Fully connected Blume-Emery-Griffiths neural networks performing pattern recognition and associative memory have been heuristically studied in the past (mainly via the replica tric…
Yet another exponential Hopfield model
Linda Albanese, Andrea Alessandrelli, Adriano Barra +1
We propose and analyze a new variation of the so-called {\em exponential Hopfield model}, a recently introduced family of associative neural networks with unprecedented storage cap…
Guerra interpolation for inverse freezing
Linda Albanese, Adriano Barra, Emilio N. M. Cirillo
In these short notes, we adapt and systematically apply Guerra's interpolation techniques on a class of disordered mean-field spin glasses equipped with crystal fields and multi-va…