{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:23:12Z","timestamp":1740169392133,"version":"3.37.3"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000138","name":"U.S. Department of Education GAANN","doi-asserted-by":"publisher","award":["P200A180055"],"award-info":[{"award-number":["P200A180055"]}],"id":[{"id":"10.13039\/100000138","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSF","award":["2008690","2234468"],"award-info":[{"award-number":["2008690","2234468"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3479913","type":"journal-article","created":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T17:25:51Z","timestamp":1728926751000},"page":"150953-150961","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Scaling of Bayesian Neural Networks"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7290-5085","authenticated-orcid":false,"given":"Jacob R.","family":"Epifano","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA"}]},{"given":"Timothy","family":"Duong","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0011-4561","authenticated-orcid":false,"given":"Ravi P.","family":"Ramachandran","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8551-0090","authenticated-orcid":false,"given":"Ghulam","family":"Rasool","sequence":"additional","affiliation":[{"name":"Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA"}]}],"member":"263","reference":[{"volume-title":"GPT-4 Technical Report","year":"2023","key":"ref1"},{"key":"ref2","first-page":"1","article-title":"Extracting training data from large language models","volume-title":"Proc. 30th USENIX Secur. Symp.","volume":"6","author":"Carlini"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176350051"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/9781118033197"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.5.720"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/168304.168306"},{"key":"ref7","first-page":"1613","article-title":"Weight uncertainty in neural network","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Blundell"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2019.8918747"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3096804"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682667"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017322"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s002280050466"},{"key":"ref13","article-title":"Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation","author":"Kwon","year":"2018","journal-title":"Medical Imaging With Deep Learning"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2019.106816"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.3.448"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0745-0"},{"key":"ref17","article-title":"Deterministic variational inference for robust Bayesian neural networks","author":"Wu","year":"2018","journal-title":"arXiv:1810.03958"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1285773"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-05946-3"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP49062.2020.9231550"},{"key":"ref21","first-page":"1861","article-title":"Probabilistic backpropagation for scalable learning of Bayesian neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hern\u00e1ndez-Lobato"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"Krizhevsky","key":"ref22"},{"key":"ref23","article-title":"Bayesian convolutional neural networks with Bernoulli approximate variational inference","author":"Gal","year":"2015","journal-title":"arXiv:1506.02158"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-018-0004-1"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0000000000003439"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1513\/AnnalsATS.201503-129OC"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0000000000003803"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1097\/PCC.0000000000002106"},{"key":"ref29","article-title":"`In-between\u2019 uncertainty in Bayesian neural networks","author":"Foong","year":"2019","journal-title":"arXiv:1906.11537"},{"key":"ref30","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"Simonyan","year":"2013","journal-title":"arXiv:1312.6034"},{"key":"ref31","article-title":"On the robustness of interpretability methods","author":"Alvarez-Melis","year":"2018","journal-title":"arXiv:1806.08049"},{"key":"ref32","first-page":"1","article-title":"Sanity checks for saliency maps","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Adebayo"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013681"},{"key":"ref34","article-title":"SmoothGrad: Removing noise by adding noise","author":"Smilkov","year":"2017","journal-title":"arXiv:1706.03825"},{"key":"ref35","article-title":"Explaining Bayesian neural networks","author":"Bykov","year":"2021","journal-title":"arXiv:2108.10346"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1029\/2022MS003162"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3300242"},{"key":"ref38","first-page":"41","article-title":"An empirical study of the naive Bayes classifier","volume-title":"Proc. Workshop Empirical Methods Artif. Intell. (IJCAI)","volume":"3","author":"Rish"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1002\/0470045345"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","article-title":"Better plain ViT baselines for ImageNet-1k","author":"Beyer","year":"2022","journal-title":"arXiv:2205.01580"},{"key":"ref42","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref43","article-title":"Layer normalization","author":"Lei Ba","year":"2016","journal-title":"arXiv:1607.06450"},{"key":"ref44","first-page":"1","article-title":"On the (in)fidelity and sensitivity of explanations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Yeh"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6287639\/10380310\/10716370-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10716370.pdf?arnumber=10716370","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:53:52Z","timestamp":1732668832000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10716370\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3479913","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}