24 citations · 71 across the 22 of their papers we have counts for
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Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
Deep generative models provide a systematic way to learn nonlinear data distributions, through a set of latent variables and a nonlinear "generator" function that maps latent point…