A Factorial Mixture Prior for Compositional Deep Generative Models

18 Dec 2018Ulrich PaquetSumedh K. GhaisasOlivier Tieleman

We assume that a high-dimensional datum, like an image, is a compositional expression of a set of properties, with a complicated non-linear relationship between the datum and its properties. This paper proposes a factorial mixture prior for capturing latent properties, thereby adding structured compositionality to deep generative models... (read more)

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