{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T09:44:04Z","timestamp":1772358244042,"version":"3.50.1"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,21]],"date-time":"2023-05-21T00:00:00Z","timestamp":1684627200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,21]],"date-time":"2023-05-21T00:00:00Z","timestamp":1684627200000},"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":[[2023,5,21]]},"DOI":"10.1109\/iscas46773.2023.10181438","type":"proceedings-article","created":{"date-parts":[[2023,7,21]],"date-time":"2023-07-21T17:19:44Z","timestamp":1689959984000},"page":"1-5","source":"Crossref","is-referenced-by-count":6,"title":["Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity"],"prefix":"10.1109","author":[{"given":"Prabodh","family":"Katti","sequence":"first","affiliation":[{"name":"King's College London,Department of Engineering,London,UK"}]},{"given":"Nicolas","family":"Skatchkovsky","sequence":"additional","affiliation":[{"name":"King's College London,Department of Engineering,London,UK"}]},{"given":"Osvaldo","family":"Simeone","sequence":"additional","affiliation":[{"name":"King's College London,Department of Engineering,London,UK"}]},{"given":"Bipin","family":"Rajendran","sequence":"additional","affiliation":[{"name":"King's College London,Department of Engineering,London,UK"}]},{"given":"Bashir M.","family":"Al-Hashimi","sequence":"additional","affiliation":[{"name":"King's College London,Department of Engineering,London,UK"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2935234"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2016.07.016"},{"key":"ref12","first-page":"1218","article-title":"Markov chain monte carlo and variational inference: Bridging the gap","author":"salimans","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-18098-0"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2933719"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3067593"},{"key":"ref20","article-title":"The bayesian learning rule","author":"khan","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-020-00523-3"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.00424"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1063\/1.5042408"},{"key":"ref21","article-title":"Categorical reparame-terization with gumbel-softmax","author":"jang","year":"2017","journal-title":"International Conference on Learning Representations"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS45731.2020.9180701"},{"key":"ref1","first-page":"1321","article-title":"On calibration of modern neural networks","author":"guo","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2022.1037976"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1126\/science.1254642"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2011.5937569"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IMW.2019.8739740"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3299874.3319452"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3296957.3173212"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-16108-9"},{"key":"ref4","article-title":"The case for bayesian deep learning","author":"wilson","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref3","first-page":"1613","article-title":"Weight uncertainty in neural network","author":"blundell","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2020.2968223"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/DSLW51110.2021.9523415"}],"event":{"name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","location":"Monterey, CA, USA","start":{"date-parts":[[2023,5,21]]},"end":{"date-parts":[[2023,5,25]]}},"container-title":["2023 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10181241\/10181318\/10181438.pdf?arnumber=10181438","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T17:55:59Z","timestamp":1691430959000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10181438\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,21]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/iscas46773.2023.10181438","relation":{},"subject":[],"published":{"date-parts":[[2023,5,21]]}}}