Convergence of non-convex non-concave GANs using sinkhorn divergence

• Main Authors: Adnan, Risman, Saputra, Muchlisin Adi, Fadlil, Junaidillah, Ezerman, Martianus Frederic, Iqbal, Muhamad, Basaruddin, Tjan
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Physics; Convergence; Generative Adversarial Network
• Online Access: https://hdl.handle.net/10356/154075
• Institution: Nanyang Technological University

Sinkhorn divergence is a symmetric normalization of entropic regularized optimal transport. It is a smooth and continuous metrized weak-convergence with excellent geometric properties. We use it as an alternative for the minimax objective function in formulating generative adversarial networks. The...