129 citations · 1.6k across the 92 of their papers we have counts for
93 papers
Inverse modeling of time-delayed interactions via the dynamic-entropy formalism
Elena Agliari, Francesco Alemanno, Adriano Barra +3
Although instantaneous interactions are unphysical, a large variety of maximum entropy statistical inference methods match the model-inferred and the empirically-measured equal-tim…
Parallel Learning by Multitasking Neural Networks
Elena Agliari, Andrea Alessandrelli, Adriano Barra +1
A modern challenge of Artificial Intelligence is learning multiple patterns at once (i.e.parallel learning). While this can not be accomplished by standard Hebbian associative neur…
Statistical Mechanics of Learning via Reverberation in Bidirectional Associative Memories
Martino Salomone Centonze, Ido Kanter, Adriano Barra
We study bi-directional associative neural networks that, exposed to noisy examples of an extensive number of random archetypes, learn the latter (with or without the presence of a…
Ultrametric identities in glassy models of Natural Evolution
Elena Agliari, Francesco Alemanno, Miriam Aquaro +1
Spin-glasses constitute a well-grounded framework for evolutionary models. Of particular interest for (some of) these models is the lack of self-averaging of their order parameters…
About the de Almeida-Thouless line in neural networks
Linda Albanese, Andrea Alessandrelli, Adriano Barra +1
In this work we present a rigorous and straightforward method to detect the onset of the instability of replica-symmetric theories in information processing systems, which does not…
Dense Hebbian neural networks: a replica symmetric picture of supervised learning
Elena Agliari, Linda Albanese, Francesco Alemanno +5
We consider dense, associative neural-networks trained by a teacher (i.e., with supervision) and we investigate their computational capabilities analytically, via statistical-mecha…