MINE: Mutual Information Neural Estimation

Bidirectional Generative Adversarial Networks, BiGANs(Jeff Donahue et al.[3]), as the name suggests, is bidirectional in that the real data is encoded before being passed to the discriminator. The discriminator takes as input both the feature representations ( z and E(x)) and the fully representative data (G(z) and x), distinguishing which from which. The generator and encoder collaborate to fool the discriminator by approaching E(x) to z and G(z) to x .