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pro vyhledávání: '"Olagoke, Lukman"'
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying
Externí odkaz:
http://arxiv.org/abs/2310.12063
