4 citations · 4 across the 3 of their papers we have counts for
3 papers
Transition path sampling in Ising models on heterogeneous graphs
Riccardo Cipolloni, Federico Ricci-Tersenghi, Francesco Zamponi
Activated transitions have rates that are often exponentially small in system size. Extracting the associated activation barriers is challenging in practice, especially in the deep…
Dreaming improves memorization in a Hopfield model with bounded synaptic strength
Enzo Marinari, Saverio Rossi, Francesco Zamponi
The Hopfield model provides a paradigmatic framework for associative memory. Its classical implementation, based on the Hebbian learning rule, suffers from catastrophic forgetting:…
Unlearning regularization for Boltzmann Machines
Enrico Ventura, Simona Cocco, Rémi Monasson +1
Boltzmann Machines (BMs) are graphical models with interconnected binary units, employed for the unsupervised modeling of data distributions. When trained on real data, BMs show th…