Abstract
GL2019 Seminar Talk: (q,p)-Wasserstein GANs
Anton Mallasto
University of Copenhagen
Vanilla WGANs minimize the 1-Wasserstein distance with l^2-metric as the ground distance. I will explain, how general p-Wasserstein metrics over l^q-metrics can be incorporated in the GAN setting through approximating the c-transforms of Kantorovich potentials (that are called discriminators in the GAN context).
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