On the performance of machine-learning assisted Monte Carlo in sampling from simple statistical physics modelsLuca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponihttps://arxiv.org/abs/2505.22598
On the performance of machine-learning assisted Monte Carlo in sampling from simple statistical physics modelsRecent years have seen a rise in the application of machine learning techniques to aid the simulation of hard-to-sample systems that cannot be studied using traditional methods. Despite the introduction of many different architectures and procedures, a wide theoretical understanding is still lacking, with the risk of suboptimal implementations. As a first step to address this gap, we provide here a complete analytic study of the widely-used Sequential Tempering procedure applied to a shallow MA…