{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T15:13:31Z","timestamp":1790090011791,"version":"4.0.1"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"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":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9746860","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T15:50:34Z","timestamp":1651074634000},"page":"8687-8691","source":"Crossref","is-referenced-by-count":7,"title":["Optimization Guarantees for ISTA and ADMM Based Unfolded Networks"],"prefix":"10.1109","author":[{"given":"Wei","family":"Pu","sequence":"first","affiliation":[{"name":"University College London,Department of Electronic and Electrical Engineering,UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yonina C.","family":"Eldar","sequence":"additional","affiliation":[{"name":"Weizmann Institute of Science,Rehovot,Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miguel R. D.","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"University College London,Department of Electronic and Electrical Engineering,UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2021.12.009"},{"key":"ref11","article-title":"ALISTA: Analytic Weights are as good as learned weights in LISTA","author":"liu","year":"2019","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref12","article-title":"Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds","author":"chen","year":"0","journal-title":"32nd Conference on Neural Information Processing Systems (NeurIPS 2018)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1214\/13-EJS815"},{"key":"ref14","first-page":"183","article-title":"A fast iterative shrinkage-thresholding algorithm for linear inverse problems","author":"amir","year":"2009","journal-title":"SIAM Journal on Imaging Sciences"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref16","article-title":"Supplementary materials of “Optimization Guarantees for Unfolded Networks","year":"0"},{"key":"ref4","first-page":"399c406","article-title":"Learning fast approximations of sparse coding","author":"gregor","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn (ICML)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511794308"},{"key":"ref6","first-page":"1c1","article-title":"ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing","author":"yang","year":"2019","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3016905"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2596743"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.2964202"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.885507"},{"key":"ref9","article-title":"On the linearity of large non-linear models: when and why the tangent kernel is constant why the tangent kernel is constant","author":"liu","year":"0"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Singapore, Singapore","start":{"date-parts":[[2022,5,23]]},"end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09746860.pdf?arnumber=9746860","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T16:13:24Z","timestamp":1661184804000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9746860\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9746860","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}