Discriminator. To prevent undesired behaviors endemic of GANs (i.e., mode collapse and training instability) we adopt the Wasserstein-GAN (W-GAN) model with mini-batch discrimination . The discriminator is trained using the standard W-GAN loss with a slightly modified form of the gradient penalty described by Gulrajani et al. . The discriminator loss is formalized