80 citations · 645 across the 38 of their papers we have counts for
42 papers
On the supra-linear storage in dense networks of grid and place cells
Adriano Barra, Martino S. Centonze, Michela Marra Solazzo +1
Place-cell networks, typically forced to pairwise synaptic interactions, are widely studied as models of cognitive maps: such models, however, share a severely limited storage capa…
On the phase diagram of the multiscale mean-field spin-glass
Francesco Camilli, Pierluigi Contucci, Emanuele Mingione +1
In this paper we study the phase diagram of a Sherrington-Kirkpatrick (SK) model where the couplings are forced to thermalize at different time scales. Besides being a challenging…
Dense Hopfield Networks in the Teacher-Student Setting
Robin Thériault, Daniele Tantari
Dense Hopfield networks are known for their feature to prototype transition and adversarial robustness. However, previous theoretical studies have been mostly concerned with their…
Hopfield model with planted patterns: a teacher-student self-supervised learning model
Francesco Alemanno, Luca Camanzi, Gianluca Manzan +1
While Hopfield networks are known as paradigmatic models for memory storage and retrieval, modern artificial intelligence systems mainly stand on the machine learning paradigm. We…
Reinforcement Learning Policy Recommendation for Interbank Network Stability
Alessio Brini, Gabriele Tedeschi, Daniele Tantari
In this paper, we analyze the effect of a policy recommendation on the performance of an artificial interbank market. Financial institutions stipulate lending agreements following…
Deep Reinforcement Trading with Predictable Returns
Alessio Brini, Daniele Tantari
Classical portfolio optimization often requires forecasting asset returns and their corresponding variances in spite of the low signal-to-noise ratio provided in the financial mark…