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From:
Sven Elflein
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Learning distributions on compact support using Normalizing Flows
https://selflein.github.io/normalizing_flow_bounded_domain
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Tagged with:
deep learning
density estimation
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Normalizing Flows [Rezende and Mohamed 2015] are powerful density estimators that have shown to be able to learn complex distributions, e.g., of natural images [Kingma and Dhariwal 2018].
