On Characterizing GAN Convergence Through Proximal Duality Gap

Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan

Abstract: Despite the accomplishments of Generative Adversarial Networks (GANs) in modeling data distributions, training them remains a challenging task. A contributing factor to this difficulty is the non-i...