ICML-Scalable Normalizing Flows for Permutation Invariant Densities

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Scalable Normalizing Flows for Permutation Invariant Densities

                       Marin Bilo 1 Stephan Günnemann 1

              Abstract
    Modeling sets is an important problem in machine
    learning since this type of data can be found in
    many domains. A promising approach defines
    a family of permutation invariant densities with
    continuous normalizing flows. This allows us to             t0                    t1
    maximize the likelihood directly and sample new          ...

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关键词：Permutation Invariant densities Mutation varian