{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T08:31:19Z","timestamp":1770539479225,"version":"3.49.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1109\/icip40778.2020.9191173","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T20:45:18Z","timestamp":1601498718000},"page":"763-767","source":"Crossref","is-referenced-by-count":4,"title":["Unpriortized Autoencoder For Image Generation"],"prefix":"10.1109","author":[{"given":"Jaeyoung","family":"Yoo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hojun","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nojun","family":"Kwak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","author":"bishop","year":"1994","journal-title":"Mixture density networks"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.131"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref13","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref14","first-page":"467","article-title":"A deep and tractable density estimator","author":"uria","year":"2014","journal-title":"International Conference on Machine Learning"},{"key":"ref15","first-page":"881","article-title":"Made: Masked autoencoder for distribution estimation","author":"germain","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.32"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref19","first-page":"226","article-title":"Deep generative stochastic networks trainable by backprop","author":"bengio","year":"2014","journal-title":"International Conference on Machine Learning"},{"key":"ref4","first-page":"4743","article-title":"Improved variational inference with inverse autoregressive flow","author":"kingma","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref3","first-page":"1530","article-title":"Variational inference with normalizing flows","author":"rezende","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref6","first-page":"2078","article-title":"Neural autoregressive flows","volume":"80","author":"huang","year":"2018","journal-title":"Proc 35th Int Conf Mach Learn"},{"key":"ref5","first-page":"2338","article-title":"Masked autoregressive flow for density estimation","author":"papamakarios","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref8","first-page":"2175","article-title":"Rnade: The real-valued neural autoregressive density-estimator","author":"uria","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"Density estimation using real nvp","author":"dinh","year":"2016","journal-title":"arXiv preprint arXiv 1605 09553"},{"key":"ref2","article-title":"Adversarial autoencoders","author":"makhzani","year":"2015","journal-title":"arXiv preprint arXiv 1511 05271"},{"key":"ref1","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013","journal-title":"arXiv preprint arXiv 1312 6114"},{"key":"ref9","article-title":"Wavenet: A generative model for raw audio","author":"van den oord","year":"2016","journal-title":"ArXiv"},{"key":"ref20","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref22","article-title":"Tackling over-pruning in variational autoencoders","author":"yeung","year":"2017","journal-title":"arXiv preprint arXiv 1706 03643"},{"key":"ref21","first-page":"1718","article-title":"Generative moment matching networks","author":"li","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref24","volume":"3","author":"susskind","year":"2010","journal-title":"The Toronto Face Database"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"}],"event":{"name":"2020 IEEE International Conference on Image Processing (ICIP)","location":"Abu Dhabi, United Arab Emirates","start":{"date-parts":[[2020,10,25]]},"end":{"date-parts":[[2020,10,28]]}},"container-title":["2020 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9184803\/9190635\/09191173.pdf?arnumber=9191173","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:13:09Z","timestamp":1656375189000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9191173\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icip40778.2020.9191173","relation":{},"subject":[],"published":{"date-parts":[[2020,10]]}}}