Kim, Sehwan, Song, Qifan, and Liang, Faming. A New Paradigm for Generative Adversarial Networks Based on Randomized Decision Rules. Retrieved from https://par.nsf.gov/biblio/10552646. Statistica Sinica . Web. doi:10.5705/ss.202022.0404.
Kim, Sehwan, Song, Qifan, & Liang, Faming. A New Paradigm for Generative Adversarial Networks Based on Randomized Decision Rules. Statistica Sinica, (). Retrieved from https://par.nsf.gov/biblio/10552646. https://doi.org/10.5705/ss.202022.0404
@article{osti_10552646,
place = {Country unknown/Code not available},
title = {A New Paradigm for Generative Adversarial Networks Based on Randomized Decision Rules},
url = {https://par.nsf.gov/biblio/10552646},
DOI = {10.5705/ss.202022.0404},
abstractNote = {},
journal = {Statistica Sinica},
publisher = {Academia Sinica},
author = {Kim, Sehwan and Song, Qifan and Liang, Faming},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.