Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourages convex latent distributions

no code implementations • 27 Sep 2018 • Tim Sainburg, Marvin Thielk, Brad Thielman, Benjamin Migliori, Timothy Gentner

We present a neural network architecture based upon the Autoencoder (AE) and Generative Adversarial Network (GAN) that promotes a convex latent distribution by training adversarially on latent space interpolations.

Generative Adversarial Network