Unsupervised Learning of Global Factors in Deep Generative Models

Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez

We present a novel deep generative model based on non i.i.d. variational autoencoders that captures global dependencies among observations in a fully unsupervised fashion. In contr…