MaCow: Masked Convolutional Generative Flow

Unsupervised learning of probabilistic models is a central yet challenging problem. Deep generative models have shown promising results in modeling complex distributions such as natural images (Radford et al., 2015), audio (V an Den Oord et al., 2016) and text (Bowman et al., 2015).