10 citations · 10 across the 1 of their papers we have counts for
4 papers
Storage and Learning phase transitions in the Random-Features Hopfield Model
Matteo Negri, Clarissa Lauditi, Gabriele Perugini +2
The Hopfield model is a paradigmatic model of neural networks that has been analyzed for many decades in the statistical physics, neuroscience, and machine learning communities. In…
Neural networks: from the perceptron to deep nets
Marylou Gabrié, Surya Ganguli, Carlo Lucibello +1
Artificial networks have been studied through the prism of statistical mechanics as disordered systems since the 80s, starting from the simple models of Hopfield's associative memo…
Noise-cleaning the precision matrix of fMRI time series
Miguel Ibáñez-Berganza, Carlo Lucibello, Francesca Santucci +2
We present a comparison between various algorithms of inference of covariance and precision matrices in small datasets of real vectors, of the typical length and dimension of human…
One-loop diagrams in the Random Euclidean Matching Problem
Carlo Lucibello, Giorgio Parisi, Gabriele Sicuro
The matching problem is a notorious combinatorial optimization problem that has attracted for many years the attention of the statistical physics community. Here we analyze the Euc…