{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T15:34:12Z","timestamp":1759937652269,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"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":[[2019,5]]},"DOI":"10.1109\/icassp.2019.8682218","type":"proceedings-article","created":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T20:01:56Z","timestamp":1555531316000},"page":"1483-1487","source":"Crossref","is-referenced-by-count":13,"title":["Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations"],"prefix":"10.1109","author":[{"given":"Nikolaos","family":"Passalis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George","family":"Mourgias-Alexandris","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Apostolos","family":"Tsakyridis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikos","family":"Pleros","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anastasios","family":"Tefas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Training spiking deep networks for neuromorphic hardware","year":"2016","author":"hunsberger","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1364\/OFC.2018.Th1G.5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JLT.2016.2604839"},{"key":"ref13","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"Proceedings of the International Conference on Artificial Intelligence and Statistics"},{"key":"ref14","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proceedings of the International Conference on Artificial Intelligence and Statistics"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1038\/nature14441","article-title":"Training and operation of an integrated neuromorphic network based on metal-oxide memristors","volume":"521","author":"prezioso","year":"2015","journal-title":"Nature"},{"key":"ref17","first-page":"1117","article-title":"Backpropagation for energy-efficient neuromorphic computing","author":"esser","year":"2015","journal-title":"Proceedings of the Advances in Neural Information Processing Systems"},{"article-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","year":"2017","author":"xiao","key":"ref18"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1126\/science.1254642"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2011.00073"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms4541"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/nphoton.2017.93"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-07754-z"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1126\/science.aat8084"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1021\/nl904092h"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280813"}],"event":{"name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2019,5,12]]},"location":"Brighton, United Kingdom","end":{"date-parts":[[2019,5,17]]}},"container-title":["ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8671773\/8682151\/08682218.pdf?arnumber=8682218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:11:59Z","timestamp":1657854719000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8682218\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icassp.2019.8682218","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}