Scalable unbalanced optimal transport using generative adversarial networks

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. We for...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Yang, Karren Dai, Uhler, Caroline
Бусад зохиолчид: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Формат: Өгүүллэг
Хэвлэсэн: 2021
Онлайн хандалт:https://hdl.handle.net/1721.1/130122