Yu Wang, Bin Dai, Gang Hua, John Aston, David P. Wipf. Green Generative Modeling: Recycling Dirty Data using Recurrent Variational Autoencoders. In Gal Elidan, Kristian Kersting, Alexander T. Ihler, editors, Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017. AUAI Press, 2017. [doi]
@inproceedings{WangDHAW17,
title = {Green Generative Modeling: Recycling Dirty Data using Recurrent Variational Autoencoders},
author = {Yu Wang and Bin Dai and Gang Hua and John Aston and David P. Wipf},
year = {2017},
url = {http://auai.org/uai2017/proceedings/papers/142.pdf},
researchr = {https://researchr.org/publication/WangDHAW17},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017},
editor = {Gal Elidan and Kristian Kersting and Alexander T. Ihler},
publisher = {AUAI Press},
}