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]
@inproceedings{OSheaRW19,
title = {Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks},
author = {Timothy J. O'Shea and Tamoghna Roy and Nathan West},
year = {2019},
doi = {10.1109/ICCNC.2019.8685573},
url = {https://doi.org/10.1109/ICCNC.2019.8685573},
researchr = {https://researchr.org/publication/OSheaRW19},
cites = {0},
citedby = {0},
pages = {681-686},
booktitle = {International Conference on Computing, Networking and Communications, ICNC 2019, Honolulu, HI, USA, February 18-21, 2019},
publisher = {IEEE},
isbn = {978-1-5386-9223-3},
}