Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks - researchr publication authors

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Timothy J. O'Shea, Tamoghna Roy, Nathan West. Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks. In International Conference on Computing, Networking and Communications, ICNC 2019, Honolulu, HI, USA, February 18-21, 2019. pages 681-686, IEEE, 2019. [doi]

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