10 citations · 15 across the 6 of their papers we have counts for
6 papers
The critical slowing down in training diffusion models
Luca Maria Del Bono, Giulio Biroli, Patrick Charbonneau +1
Computational sampling has been central to the sciences since the mid-20th century. While machine-learning-based approaches have recently enabled major advances, their behavior rem…
Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization
Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi
Combinatorial optimization problems are central to both practical applications and the development of optimization methods. While classical and quantum algorithms have been refined…
Learning and Testing Inverse Statistical Problems For Interacting Systems Undergoing Phase Transition
Stefano Bae, Dario Bocchi, Luca Maria Del Bono +1
Inverse problems arise in situations where data is available, but the underlying model is not. It can therefore be necessary to infer the parameters of the latter starting from the…
Nearest-Neighbours Neural Network architecture for efficient sampling of statistical physics models
Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi
The task of sampling efficiently the Gibbs-Boltzmann distribution of disordered systems is important both for the theoretical understanding of these models and for the solution of…
The most uniform distribution of points on the sphere
Luca Maria Del Bono, Flavio Nicoletti, Federico Ricci-Tersenghi
How to distribute a set of points uniformly on a spherical surface is a very old problem that still lacks a definite answer. In this work, we introduce a physical measure of unifor…
Analytical solution to Heisenberg spin glass models on sparse random graphs and their de Almeida-Thouless line
Luca Maria Del Bono, Flavio Nicoletti, Federico Ricci-Tersenghi
Results regarding spin glass models are, to this day, mainly confined to models with Ising spins. Spin glass models with continuous spins exhibit interesting new physical behaviors…