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Workshop

GILBO: One Metric to Measure Them All

Alexander Alemi · Ian Fischer

East Meeting Level 8 + 15 #16

Mon 30 Apr, 4:30 p.m. PDT

We propose a simple, tractable lower bound on the mutual information contained in the joint generative density of any latent variable generative model: the GILBO (Generative Information Lower BOund). It offers a data independent measure of the complexity of the learned latent variable description, giving the log of the effective description length. It is well-defined for both VAEs and GANs. We compute the GILBO for 800 GANs and VAE s trained on MNIST and discuss the results.

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