2022
Instability and Local Minima in GAN Training with Kernel Discriminators
NeurIPS 2022accept
Generative Adversarial Networks (GANs) are a widely-used tool for generative modeling of complex data. Despite their empirical success, the training of GANs is not fully understood due to the joint training of the generator and discriminator. This paper analyzes these joint dynamics when the true s…