or: Density Estimation Using Real NVP

Introduces flow models, which learn a differentiable and invertable mapping between a spherical gaussian and a dataset.
It’s like a VAE, provides smoothly interpolable manifolds, but it only needs to learn one mapping, instead of an encoder and decoder.
Further developed as Glow.