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Performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models

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Recent 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 th... ...