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Wasserstein Generative Adversarial Networks

Wasserstein Generative Adversarial Networks is one of 9,000 studies in the ScholarPulse dataset. Key details — Authors: Martín Arjovsky, Soumith Chintala, Léon Bottou; Journal / source: International Conference on Machine Learning; Year: 2017.

AuthorsMartín Arjovsky, Soumith Chintala, Léon Bottou
Journal / sourceInternational Conference on Machine Learning
Year2017
FieldGenerative Adversarial Networks and Image Synthesis
Times cited5040
Typearticle
DOI / linkhttps://openalex.org/W2739748921

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