{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T15:08:43Z","timestamp":1764688123039,"version":"3.28.0"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T00:00:00Z","timestamp":1720396800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T00:00:00Z","timestamp":1720396800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010002","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004725","name":"Ministry of Economic Affairs","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003185","name":"Fraunhofer-Gesellschaft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,8]]},"DOI":"10.23919\/fusion59988.2024.10706490","type":"proceedings-article","created":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T17:19:50Z","timestamp":1728667190000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["Trustworthy Bayesian Perceptrons"],"prefix":"10.23919","author":[{"given":"Markus","family":"Walker","sequence":"first","affiliation":[{"name":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT),Intelligent Sensor-Actuator-Systems Laboratory (ISAS),Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hayk","family":"Amirkhanian","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Manufacturing Engineering and Automation IPA,Department Cyber Cognitive Intelligence (CCI),Stuttgart,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco F.","family":"Huber","sequence":"additional","affiliation":[{"name":"Institute of Industrial Manufacturing and Management IFF, University of Stuttgart,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Uwe D.","family":"Hanebeck","sequence":"additional","affiliation":[{"name":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT),Intelligent Sensor-Actuator-Systems Laboratory (ISAS),Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160686"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3062339"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1063\/1.1699114"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.5555\/2986459.2986721"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/BF00439421"},{"key":"ref6","first-page":"393","article-title":"Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning","volume-title":"Proceedings of the Third Conference on Medical Imaging with Deep Learning","volume":"121","author":"Laves"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CDC42340.2020.9303764"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SDF-MFI59545.2023.10361405"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/57.1.97"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1984.4767596"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/0370-2693(87)91197-X"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0745-0"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2638586"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5555\/2986459.2986721"},{"key":"ref15","article-title":"Stochastic variational inference","author":"Hoffman","year":"2013","journal-title":"Journal of Machine Learning Research"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1506.02142"},{"article-title":"A family of algorithms for approximate Bayesian inference","year":"2001","author":"Minka","key":"ref17"},{"key":"ref18","article-title":"Extended version: Expectation propagation for approximate inference in dynamic bayesian networks","volume-title":"University of Nijmegen, Tech. Rep","author":"Heskes","year":"2003"},{"key":"ref19","article-title":"Power EP","volume-title":"Microsoft Research, Tech. Rep. MSR-TR-2004-149","author":"Minka","year":"2004"},{"key":"ref20","first-page":"1861","article-title":"Probabilistic backpropagation for scalable learning of bayesian neural networks","volume-title":"International conference on machine learning","author":"Hern\u00e1ndez-Lobato"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26200"},{"issue":"1","key":"ref22","first-page":"11374","article-title":"Tractable approximate Gaussian inference for Bayesian neural networks","volume":"22","author":"Goulet","year":"2021","journal-title":"The Journal of Machine Learning Research"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.2307\/2987588.JSTOR:2987588"},{"key":"ref24","first-page":"2796","article-title":"Accurate uncertainties for deep learning using calibrated regression","volume-title":"Proceedings of the 35th international conference on machine learning","volume":"80","author":"Kuleshov"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9602"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/s22155540"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25072-9_30"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/0471221279"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1017\/9781108917407"},{"article-title":"Kalman filtering and neural networks, ser. Adaptive and learning systems for signal processing, communications, and control","volume-title":"Wiley","author":"Haykin","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1971.1099816"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2006.06.011"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3626-0"},{"key":"ref34","first-page":"012000","article-title":"It\u2019s Okay to Be Skinny, If Your Friends Are Fat","volume-title":"Center for Geometric Computing 4th Annual Workshop on Computational Geometry","author":"Maneewongvatana"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1049\/ji-3-2.1946.0074"}],"event":{"name":"2024 27th International Conference on Information Fusion (FUSION)","start":{"date-parts":[[2024,7,8]]},"location":"Venice, Italy","end":{"date-parts":[[2024,7,11]]}},"container-title":["2024 27th International Conference on Information Fusion (FUSION)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10706250\/10706251\/10706490.pdf?arnumber=10706490","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T04:36:18Z","timestamp":1728707778000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10706490\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,8]]},"references-count":35,"URL":"https:\/\/doi.org\/10.23919\/fusion59988.2024.10706490","relation":{},"subject":[],"published":{"date-parts":[[2024,7,8]]}}}