… coevolution with gradientbased updates (mutations). ii) We present Lipizzaner, a coevolutionary
framework to train GANs … mutations (for hyperparameters) and learn a mixture of GANs. …

… that the spatially distributed coevolutionary training applied by … /replacement components
to train GANs. The combination of … Training the networks with a coevolutionary flavor does not …

… (2) We establish the necessity of spatial communication, local selection, and GAN training
parameter evolution toward better performance by Lipizzaner through ablation studies. (3) We …

… This paper presents a model called coevolutionary generative adversarial … and coevolution
in the coordination of the GAN … Towards distributed coevolutionary gans. arXiv preprint arXiv:…

… GAN training framework that combines spatial coevolution with gradient-based learning, which
has been used to mitigate GAN … discriminators) against each other towards convergence. …

… coevolution to train the adversarial components of GANs. The t-SNE visualization showed
that COEGAN evolves generators and discriminators toward … the spatial coevolutionary GAN …

… First, we introduce the general optimization problem of GAN training. Then, we describe
a method for spatial coevolution GANs training. Finally, we present the multiple mutations …

… However, there are still open problems with the GAN model, … and coevolution in the
coordination of the GAN training … to design an algorithm using coevolution techniques. Our …

… Coevolutionary Generative … a coevolution model to evolve GANs. Experimental results
show that the model provides a more reliable GAN training when compared to regular GANs in …

… In this article, we use a coevolutionary algorithm (CoEA) with SSL-GANs to train both the
classifier and the image generative model using a few labeled images. A CoEA introduces …