5 citations · 5 across the 1 of their papers we have counts for
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On the number of limit cycles in diluted neural networks
Sungmin Hwang, Enrico Lanza, Giorgio Parisi +3
We consider the storage properties of temporal patterns, i.e. cycles of finite lengths, in neural networks represented by (generally asymmetric) spin glasses defined on random grap…
Large deviations of glassy effective potentials
Silvio Franz, Jacopo Rocchi
The theory of glassy fluctuations can be formulated in terms of disordered effective potentials. While the properties of the average potentials are well understood, the study of th…
Inverse problems for structured datasets using parallel TAP equations and RBM
Aurélien Decelle, Sungmin Hwang, Jacopo Rocchi +1
We propose an efficient algorithm to solve inverse problems in the presence of binary clustered datasets. We consider the paradigmatic Hopfield model in a teacher student scenario,…
A fast and accurate algorithm for inferring sparse Ising models via parameters activation to maximize the pseudo-likelihood
Silvio Franz, Federico Ricci-Tersenghi, Jacopo Rocchi
We propose a new algorithm to learn the network of the interactions of pairwise Ising models. The algorithm is based on the pseudo-likelihood method (PLM), that has already been pr…
Slow Spin Dynamics and Self-Sustained Clusters in Sparsely Connected Systems
Jacopo Rocchi, David Saad, Chi Ho Yeung
To identify emerging microscopic structures in low temperature spin glasses, we study self-sustained clusters (SSC) in spin models defined on sparse random graphs. A message-passin…
High storage capacity in the Hopfield model with auto-interactions - stability analysis
Jacopo Rocchi, David Saad, Daniele Tantari
Recent studies point to the potential storage of a large number of patterns in the celebrated Hopfield associative memory model, well beyond the limits obtained previously. We inve…