AIConfPaper
ICASSP 2019accepted0 citations

Entropy-regularized Optimal Transport Generative Models

Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen

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Abstract

We investigate the use of entropy-regularized optimal transport (EOT) cost in developing generative models to learn implicit distributions. Two generative models are proposed. One uses EOT cost directly in an one-shot optimization problem and the other uses EOT cost iteratively in an adversarial game. The proposed generative models show improved performance over contemporary models on scores of sample based test.

BibTeX
@inproceedings{icassp2019_entropyregulariz,
  title = {Entropy-regularized Optimal Transport Generative Models},
  author = {Dong Liu and Minh Thành Vu and Saikat Chatterjee and Lars K. Rasmussen},
  booktitle = {ICASSP 2019},
  year = {2019}
}