{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T16:15:42Z","timestamp":1760890542743,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"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":[[2023,10,29]]},"DOI":"10.1109\/ieeeconf59524.2023.10476957","type":"proceedings-article","created":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T19:28:52Z","timestamp":1711999732000},"page":"892-896","source":"Crossref","is-referenced-by-count":2,"title":["Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks"],"prefix":"10.1109","author":[{"given":"Evan","family":"Becker","sequence":"first","affiliation":[{"name":"CS, UCLA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Parthe","family":"Pandit","sequence":"additional","affiliation":[{"name":"HDSI, UCSD"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sundeep","family":"Rangan","sequence":"additional","affiliation":[{"name":"ECE, NYU"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alyson K.","family":"Fletcher","sequence":"additional","affiliation":[{"name":"Statistics, UCLA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Towards principled methods for training generative adversarial networks","year":"2017","author":"Arjovsky","key":"ref1"},{"key":"ref2","article-title":"Instability and local minima in GAN training with kernel discriminators","author":"Becker","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref3","article-title":"Local convergence of gradient descent -ascent for training generative adversarial networks","author":"Becker","year":"2023","journal-title":"arXiv preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"issue":"1","key":"ref5","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"The Journal of Machine Learning Research"},{"key":"ref6","first-page":"8571","article-title":"Neural tangent kernel: Convergence and generalization in neural networks","author":"Jacot","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"Progressive growing of gans for improved quality, stability, and variation","volume-title":"arXiv preprint","author":"Karras","year":"2017"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-70139-4","article-title":"MMD GAN: Towards deeper understanding of moment matching network","volume":"30","author":"Li","year":"2017","journal-title":"Advances in neural information processing systems"},{"journal-title":"Which training methods for gans do actually converge?","year":"2018","author":"Mescheder","key":"ref9"},{"key":"ref10","article-title":"Spectral normalization for generative adversarial networks","author":"Miyato","year":"2018","journal-title":"arXiv preprint"},{"key":"ref11","first-page":"1720","article-title":"On the convergence of gradient descent in gans: Mmd gan as a gradient flow","volume-title":"International Conference on Artificial Intelligence and Statistics","author":"Mroueh","year":"2021"},{"journal-title":"Gradient descent gan optimization is locally stable","year":"2018","author":"Nagarajan","key":"ref12"},{"key":"ref13","article-title":"f-gan: Training generative neural samplers using variational divergence minimization","volume":"29","author":"Nowozin","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref14","article-title":"Improved techniques for training gans","volume":"29","author":"Salimans","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2307\/3620776"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898719185"}],"event":{"name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","start":{"date-parts":[[2023,10,29]]},"location":"Pacific Grove, CA, USA","end":{"date-parts":[[2023,11,1]]}},"container-title":["2023 57th Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10476702\/10476779\/10476957.pdf?arnumber=10476957","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,2]],"date-time":"2024-04-02T05:09:10Z","timestamp":1712034550000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10476957\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,29]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf59524.2023.10476957","relation":{},"subject":[],"published":{"date-parts":[[2023,10,29]]}}}