Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks - researchr publication authors

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Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger. Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. In Doina Precup, Yee Whye Teh, editors, Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017. Volume 70 of JMLR Workshop and Conference Proceedings, pages 2391-2400, JMLR.org, 2017. [doi]

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