Equivariant Flows: exact likelihood generative learning for symmetric densities

3 Jun 2020Jonas KöhlerLeon KleinFrank Noé

Normalizing flows are exact-likelihood generative neural networks which approximately transform samples from a simple prior distribution to samples of the probability distribution of interest. Recent work showed that such generative models can be utilized in statistical mechanics to sample equilibrium states of many-body systems in physics and chemistry... (read more)

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