{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T01:45:19Z","timestamp":1755999919029,"version":"3.37.3"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006602","name":"Air Force Research Laboratory","doi-asserted-by":"publisher","award":["FA9453-22-2-0050"],"award-info":[{"award-number":["FA9453-22-2-0050"]}],"id":[{"id":"10.13039\/100006602","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Control Syst. Lett."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/lcsys.2023.3340995","type":"journal-article","created":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T19:38:58Z","timestamp":1702064338000},"page":"3986-3991","source":"Crossref","is-referenced-by-count":4,"title":["Promises of Deep Kernel Learning for Control Synthesis"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-8982-391X","authenticated-orcid":false,"given":"Robert","family":"Reed","sequence":"first","affiliation":[{"name":"Department of Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1190-6097","authenticated-orcid":false,"given":"Luca","family":"Laurenti","sequence":"additional","affiliation":[{"name":"Delft Center for Systems and Control, TU Delft, Delft, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7549-4365","authenticated-orcid":false,"given":"Morteza","family":"Lahijanian","sequence":"additional","affiliation":[{"name":"Department of Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.08.026"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2017.01.037"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3447928.3456649"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2023.3285785"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2015.7403295"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3127623"},{"key":"ref7","first-page":"1","article-title":"Uniform error bounds for Gaussian process regression with application to safe control","volume-title":"Proc. 33rd NeurIPS","author":"Lederer"},{"key":"ref8","article-title":"Formal verification of unknown dynamical systems via Gaussian process regression","author":"Jackson","year":"2021","journal-title":"arXiv:2201.00655"},{"key":"ref9","first-page":"624","article-title":"Formal synthesis of safety controllers for unknown stochastic control systems using Gaussian process learning","volume-title":"Proc. Learn. Dyn. Control Conf.","author":"Wajid"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-0224-5"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2015.2398883"},{"key":"ref12","first-page":"854","article-title":"Linear temporal logic and linear dynamic logic on finite traces","volume-title":"Proc. 23rd IJCAI\u201913","author":"De Giacomo"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(00)00047-3"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3302504.3311805"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28650-9_4"},{"key":"ref16","first-page":"1","article-title":"Safe control with neural network dynamic models","volume-title":"Proc. Learn. Dyn. Control Conf.","author":"Wei"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2022.3178143"},{"key":"ref18","first-page":"9672","article-title":"Safety guarantees for neural network dynamic systems via stochastic barrier functions","volume-title":"Proc. NeurIPS","author":"Mazouz"},{"key":"ref19","first-page":"370","article-title":"Deep kernel learning","volume-title":"Proc. Artif. Intell. Statist.","author":"Wilson"},{"key":"ref20","first-page":"1206","article-title":"The promises and pitfalls of deep kernel learning","volume-title":"Proc. Uncertainty Artif. Intell.","author":"Ober"},{"key":"ref21","first-page":"29909","article-title":"Beta-crown: Efficient bound propagation with per-neuron split constraints for complete and incomplete neural network verification","volume-title":"Proc. NeurIPS","author":"Wang"},{"key":"ref22","volume-title":"Stochastic Optimal Control: The Discrete-Time Case","volume":"5","author":"Bertsekas","year":"1996"},{"key":"ref23","first-page":"997","article-title":"Safe exploration for optimization with Gaussian processes","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sui"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727626"},{"key":"ref25","first-page":"465","article-title":"PILCO: A model-based and data-efficient approach to policy search","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Deisenroth"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2020.2975028"},{"issue":"1","key":"ref27","first-page":"6524","article-title":"Adversarial robustness guarantees for Gaussian processes","volume":"23","author":"Patane","year":"2022","journal-title":"J. Mach. Learn. Res."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPS.2018.00023"},{"volume-title":"Formal deep kernel synthesis","year":"2023","author":"Reed","key":"ref29"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3575870.3587117"}],"container-title":["IEEE Control Systems Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7782633\/9828546\/10349682.pdf?arnumber=10349682","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T18:19:19Z","timestamp":1705169959000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10349682\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/lcsys.2023.3340995","relation":{},"ISSN":["2475-1456"],"issn-type":[{"type":"electronic","value":"2475-1456"}],"subject":[],"published":{"date-parts":[[2023]]}}}