{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T02:56:46Z","timestamp":1730343406940,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.23919\/eusipco.2019.8902934","type":"proceedings-article","created":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T18:39:38Z","timestamp":1574707178000},"page":"1-5","source":"Crossref","is-referenced-by-count":2,"title":["Training Generative Adversarial Networks With Weights"],"prefix":"10.23919","author":[{"given":"Yannis","family":"Pantazis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dipjyoti","family":"Paul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michail","family":"Fasoulakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yannis","family":"Stylianou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/mnrasl\/slx008"},{"journal-title":"A Course in Game Theory","year":"1994","author":"osborne","key":"ref11"},{"key":"ref12","first-page":"2234","article-title":"Improved techniques for training GANs","author":"salimans","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref13","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv preprint arXiv 1502 03167"},{"key":"ref14","first-page":"271","article-title":"f-GAN: Training generative neural samplers using variational divergence minimization","author":"nowozin","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref15","article-title":"Wasserstein GAN","author":"arjovsky","year":"2017","journal-title":"arXiv preprint arXiv 1701 07875"},{"key":"ref16","first-page":"5767","article-title":"Improved training of Wasserstein GANs","author":"gulrajani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.4086\/toc.2012.v008a006"},{"key":"ref18","article-title":"Boundary-seeking generative adversarial networks","author":"hjelm","year":"2017","journal-title":"arXiv preprint arXiv 1702 08502"},{"key":"ref19","article-title":"On unifying deep generative models","author":"hu","year":"2017","journal-title":"arXiv preprint arXiv 1706 00550"},{"key":"ref4","article-title":"Conditional image synthesis with auxiliary classifier GANs","author":"odena","year":"2016","journal-title":"arXiv preprint arXiv 1610 09585"},{"key":"ref3","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015","journal-title":"arXiv preprint arXiv 1511 06434"},{"key":"ref6","article-title":"The malicious use of artificial intelligence: Forecasting, prevention, and mitigation","author":"brundage","year":"2018","journal-title":"arXiv preprint arXiv 1802 10363"},{"key":"ref5","article-title":"Progressive growing of GANs for improved quality, stability, and variation","author":"karras","year":"2017","journal-title":"arXiv preprint arXiv 1710 10196"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2761547"},{"key":"ref7","article-title":"SEGAN: Speech enhancement generative adversarial network","author":"pascual","year":"2017","journal-title":"arXiv preprint arXiv 1703 09452"},{"key":"ref2","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"arXiv preprint arXiv 1411 1784"},{"key":"ref1","first-page":"2672","article-title":"Generative Adversarial Nets","author":"goodfellow","year":"2014","journal-title":"Proceedings of Annual Conference on Neural Information Processing Systems (NIPS ’14)"},{"key":"ref9","article-title":"Maximum-likelihood augmented discrete generative adversarial networks","author":"che","year":"2017","journal-title":"arXiv preprint arXiv 1702 03180"},{"key":"ref20","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"gretton","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"journal-title":"The MNIST Database of Handwritten Digits","year":"1998","author":"lecun","key":"ref21"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref24"},{"key":"ref23","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","author":"heusel","year":"2017","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2019 27th European Signal Processing Conference (EUSIPCO)","start":{"date-parts":[[2019,9,2]]},"location":"A Coruna, Spain","end":{"date-parts":[[2019,9,6]]}},"container-title":["2019 27th European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8893974\/8902336\/08902934.pdf?arnumber=8902934","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T20:56:41Z","timestamp":1604091401000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8902934\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":24,"URL":"https:\/\/doi.org\/10.23919\/eusipco.2019.8902934","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}