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Stochastic normalizing flows are a class of deep generative models that combine normalizing flows with Monte Carlo updates and can be used in lattice field theory to sample from Boltzmann distributions.
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H. Wu, J. Köhler and F. Noé, Stochastic normalizing flows , Advances in Neural Information Processing Systems 33
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J.M. Pawlowski and J.M. Urban, Flow-based density of states for complex actions , 2203.01243
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2022
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