Unsupervised learning of global factors in deep generative models

•Learning global dependencies among observations in VAEs with a mixture prior and a global latent space.•Interpretability of the generative factors without introducing extra manipulation of the ELBO.•Mixing datasets leads to inferring local/global factors and perform domain alignment.