Scalable Unbalanced Optimal Transport using Generative Adversarial Networks

ICLR 2019 Karren D. YangCaroline Uhler

Generative adversarial networks (GANs) are an expressive class of neural generative models with tremendous success in modeling high-dimensional continuous measures. In this paper, we present a scalable method for unbalanced optimal transport (OT) based on the generative-adversarial framework... (read more)

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