{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T15:22:24Z","timestamp":1776266544617,"version":"3.50.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100009051","name":"Direcci\u00f3n de Postgrado y Programas, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Valpara\u00edso","doi-asserted-by":"publisher","award":["PIIC-078\/2018"],"award-info":[{"award-number":["PIIC-078\/2018"]}],"id":[{"id":"10.13039\/100009051","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009465","name":"ANID-Subdirecci\u00f3n del Capital Humano Mag\u00edster Nacional\/2019","doi-asserted-by":"publisher","award":["22191565"],"award-info":[{"award-number":["22191565"]}],"id":[{"id":"10.13039\/100009465","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009465","name":"ANID-Subdirecci\u00f3n del Capital Humano Mag\u00edster Nacional\/2019","doi-asserted-by":"publisher","award":["CORFO 14NI2-26862"],"award-info":[{"award-number":["CORFO 14NI2-26862"]}],"id":[{"id":"10.13039\/100009465","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3094723","type":"journal-article","created":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T19:49:23Z","timestamp":1625514563000},"page":"96309-96320","source":"Crossref","is-referenced-by-count":12,"title":["HGAN: Hyperbolic Generative Adversarial Network"],"prefix":"10.1109","volume":"9","author":[{"given":"Diego","family":"Lazcano","sequence":"first","affiliation":[{"name":"Departamento de Ingenier&#x00ED;a Electr&#x00F3;nica, Universidad T&#x00E9;cnica Federico Santa Mar&#x00ED;a, Valpara&#x00ED;so, Chile"}]},{"given":"Nicolas Fredes","family":"Franco","sequence":"additional","affiliation":[{"name":"Departamento de Ingenier&#x00ED;a Electr&#x00F3;nica, Universidad T&#x00E9;cnica Federico Santa Mar&#x00ED;a, Valpara&#x00ED;so, Chile"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6647-6429","authenticated-orcid":false,"given":"Werner","family":"Creixell","sequence":"additional","affiliation":[{"name":"Departamento de Ingenier&#x00ED;a Electr&#x00F3;nica, Universidad T&#x00E9;cnica Federico Santa Mar&#x00ED;a, Valpara&#x00ED;so, Chile"}]}],"member":"263","reference":[{"key":"ref33","first-page":"3481","article-title":"Which training methods for GANs do actually converge?","author":"mescheder","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280459"},{"key":"ref31","article-title":"Progressive growing of GANs for improved quality, stability, and variation","author":"karras","year":"2017","journal-title":"arXiv 1710 10196"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref35","first-page":"5495","article-title":"Alice: Towards understanding adversarial learning for joint distribution matching","author":"li","year":"2017","journal-title":"Proc Neural Inf Process Syst (NIPS)"},{"key":"ref34","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-019-49001-7","article-title":"Application of hyperbolic geometry in link prediction of multiplex networks","volume":"9","author":"samei","year":"2019","journal-title":"Sci Rep"},{"key":"ref11","first-page":"4868","article-title":"Hyperbolic graph convolutional neural networks","author":"chami","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref13","first-page":"1","article-title":"Poincar&#x00E9; glove: Hyperbolic word embeddings","author":"tifrea","year":"2018","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-1708"},{"key":"ref15","first-page":"6338","article-title":"Poincar&#x00E9; embeddings for learning hierarchicals representations","author":"nickel","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref16","author":"miller","year":"1998","journal-title":"WordNet An Electronic Lexical Database"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00645"},{"key":"ref19","first-page":"5345","article-title":"Hyperbolic neural networks","author":"ganea","year":"2018","journal-title":"Neural Information Processing Systems"},{"key":"ref28","first-page":"5767","article-title":"Improved training of wasserstein gans","author":"gulrajani","year":"2017","journal-title":"Neural Information Processing Systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2316836"},{"key":"ref27","article-title":"Towards principled methods for training generative adversarial networks","author":"arjovsky","year":"2017","journal-title":"arXiv 1701 04862"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref6","author":"wolfe","year":"2012","journal-title":"An introduction to Non-Euclidean Geometry"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1201\/9781420035223"},{"key":"ref8","first-page":"1","article-title":"Learning mixed-curvature representations in product spaces","author":"gu","year":"2019","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref7","author":"donaldson","year":"1996","journal-title":"Riemann Surfaces"},{"key":"ref2","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.82.036106"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref20","article-title":"APo-VAE: Text generation in hyperbolic space","author":"dai","year":"2020","journal-title":"arXiv 2005 00054"},{"key":"ref22","article-title":"A wrapped normal distribution on hyperbolic space for gradient-based learning","author":"nagano","year":"2019","journal-title":"arXiv 1902 02992"},{"key":"ref21","first-page":"12565","article-title":"Continuous hierarchical representations with poincar&#x00E9; variational auto-encoders","author":"mathieu","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume":"70","author":"arjovsky","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref23","first-page":"2672","article-title":"Generative adversarial networks","author":"goodfellow","year":"2014","journal-title":"Neural Information Processing Systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref25","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"arXiv 1411 1784"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09474500.pdf?arnumber=9474500","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:18:39Z","timestamp":1662668319000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9474500\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3094723","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}