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On optimal solutions of classical and sliced Wasserstein GANs with non-Gaussian data

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Huang, Yu-Jui, Shen, Hsin-Hua, Huang, Yu-Chih, Lin, Wan-Yi, Lin, Shih-Chun
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Information Theory
Accès en ligne:	Acceder al recurso
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