Copula & Marginal Flows: Disentangling the Marginal from its Joint

7 Jul 2019Magnus WieseRobert KnoblochRalf Korn

Deep generative networks such as GANs and normalizing flows flourish in the context of high-dimensional tasks such as image generation. However, so far exact modeling or extrapolation of distributional properties such as the tail asymptotics generated by a generative network is not available... (read more)

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