Incorporating probability priors into variational autoregressive networks reduces training burden and enables larger system sizes for sampling in the Ising and Edwards-Anderson models.
Liu, Metropolizedindependent samplingwith comparisonsto rejection sampling and importance sampling, Statistics and Computing 6 (1996) 113–119
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Variational Autoregressive Networks with probability priors
Incorporating probability priors into variational autoregressive networks reduces training burden and enables larger system sizes for sampling in the Ising and Edwards-Anderson models.