45 citations · 86 across the 17 of their papers we have counts for
4 papers · 1 filter
Scaling of Stochastic Normalizing Flows in lattice gauge theory
Andrea Bulgarelli, Elia Cellini, Alessandro Nada
Non-equilibrium Markov Chain Monte Carlo (NE-MCMC) simulations provide a well-understood framework based on Jarzynski's equality to sample from a target probability distribution. B…
Sampling SU(3) pure gauge theory with Stochastic Normalizing Flows
Andrea Bulgarelli, Elia Cellini, Alessandro Nada
Non-equilibrium Monte Carlo simulations based on Jarzynski's equality are a well-understood method to compute differences in free energy and also to sample from a target probabilit…
Flow-Based Sampling for Entanglement Entropy and the Machine Learning of Defects
Andrea Bulgarelli, Elia Cellini, Karl Jansen +5
We introduce a novel technique to numerically calculate Rényi entanglement entropies in lattice quantum field theory using generative models. We describe how flow-based approaches…
Numerical determination of the width and shape of the effective string using Stochastic Normalizing Flows
Michele Caselle, Elia Cellini, Alessandro Nada
Flow-based architectures have recently proved to be an efficient tool for numerical simulations of Effective String Theories regularized on the lattice that otherwise cannot be eff…