{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T14:56:27Z","timestamp":1774968987884,"version":"3.50.1"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,8]],"date-time":"2025-06-08T00:00:00Z","timestamp":1749340800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,8]],"date-time":"2025-06-08T00:00:00Z","timestamp":1749340800000},"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":[[2025,6,8]]},"DOI":"10.1109\/icc52391.2025.11160778","type":"proceedings-article","created":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T17:34:55Z","timestamp":1758908095000},"page":"4866-4871","source":"Crossref","is-referenced-by-count":1,"title":["Towards Mitigating Mode Collapse: An Entropy-Based Approach to Enhance WGAN"],"prefix":"10.1109","author":[{"given":"Chong","family":"Tian","sequence":"first","affiliation":[{"name":"Howard University,Dept. of Electrical Engineering & Computer Science,Washington, DC,USA"}]},{"given":"Danda B.","family":"Rawat","sequence":"additional","affiliation":[{"name":"Howard University,Dept. of Electrical Engineering & Computer Science,Washington, DC,USA"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Generative adversarial nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/s22010264"},{"key":"ref3","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"International conference on machine learning","author":"Arjovsky","year":"2017"},{"key":"ref4","author":"Metz","year":"2016","journal-title":"Unrolled generative adversarial networks"},{"key":"ref5","article-title":"Veegan: Reducing mode collapse in gans using implicit variational learning","volume":"30","author":"Srivastava","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref6","article-title":"Adagan: Boosting generative models","volume":"30","author":"Tolstikhin","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"Mgan: Training generative adversarial nets with multiple generators","volume-title":"International conference on learning representations","author":"Hoang","year":"2018"},{"key":"ref8","author":"Pei","year":"2021","journal-title":"Alleviating mode collapse in gan via diversity penalty module"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CICT51604.2020.9312049"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.26062"}],"event":{"name":"ICC 2025 - IEEE International Conference on Communications","location":"Montreal, QC, Canada","start":{"date-parts":[[2025,6,8]]},"end":{"date-parts":[[2025,6,12]]}},"container-title":["ICC 2025 - IEEE International Conference on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11160703\/11160705\/11160778.pdf?arnumber=11160778","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T15:39:22Z","timestamp":1759246762000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11160778\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,8]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/icc52391.2025.11160778","relation":{},"subject":[],"published":{"date-parts":[[2025,6,8]]}}}