most citedFlows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 6 cited

Flows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation

Samuel Klein, John Andrew Raine, Tobias Golling

Normalizing flows are constructed from a base distribution with a known density and a diffeomorphism with a tractable Jacobian. The base density of a normalizing flow can be parame…