{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:00:18Z","timestamp":1750309218455,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NSF","award":["2127780","2319198","2321840","2312517","2235472"],"award-info":[{"award-number":["2127780","2319198","2321840","2312517","2235472"]}]},{"name":"Office of Naval Research","award":["Young Investigator Program Award","N00014-21-1-2225","N00014-22-1-2067"],"award-info":[{"award-number":["Young Investigator Program Award","N00014-21-1-2225","N00014-22-1-2067"]}]},{"DOI":"10.13039\/100000006","name":"Air Force Office of Scientific Research","doi-asserted-by":"publisher","award":["FA9550-22-1-0253"],"award-info":[{"award-number":["FA9550-22-1-0253"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"name":"DARPA","award":["Young Faculty Award"],"award-info":[{"award-number":["Young Faculty Award"]}]},{"name":"Semiconductor Research Corporation (SRC)"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,27]]},"DOI":"10.1145\/3676536.3676684","type":"proceedings-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T13:26:26Z","timestamp":1744205186000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Bayesian-Informed Hyperdimensional Learning for Intelligent and Efficient Data Processing"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0500-4647","authenticated-orcid":false,"given":"Hamza","family":"Errahmouni Barkam","sequence":"first","affiliation":[{"name":"University Of California Irvine, Irvine, California, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7379-0969","authenticated-orcid":false,"given":"Tamoghno","family":"Das","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8031-0167","authenticated-orcid":false,"given":"Prathyush","family":"Poduval","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3540-7065","authenticated-orcid":false,"given":"SungHeon","family":"Jeong","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3326-8931","authenticated-orcid":false,"given":"Calvin","family":"Yeung","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2059-5243","authenticated-orcid":false,"given":"Mostafa","family":"A. Solitan","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5761-0622","authenticated-orcid":false,"given":"Mohsen","family":"Imani","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,4,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-020-00501-9"},{"key":"e_1_3_2_1_2_1","first-page":"1","volume-title":"Architectures and Processors (ASAP)","author":"Plastiras G.","year":"2018","unstructured":"G. Plastiras et al., \"Edge intelligence: Challenges and opportunities of near-sensor machine learning applications,\" in 2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2018, pp. 1--7."},{"key":"e_1_3_2_1_3_1","volume-title":"Hypersense: Accelerating hyper-dimensional computing for intelligent sensor data processing","author":"Yun S.","year":"2024","unstructured":"S. Yun et al., Hypersense: Accelerating hyper-dimensional computing for intelligent sensor data processing, 2024. arXiv: 2401.10267 [cs.AR]."},{"key":"e_1_3_2_1_4_1","first-page":"56","article-title":"Onlinehd: Robust, efficient, and single-pass online learning using hyperdimensional system","author":"Hernandez-Cane A.","year":"2021","unstructured":"A. Hernandez-Cane et al., \"Onlinehd: Robust, efficient, and single-pass online learning using hyperdimensional system,\" in DATE, IEEE, 2021, pp. 56--61.","journal-title":"DATE, IEEE"},{"key":"e_1_3_2_1_5_1","first-page":"978","article-title":"Hdqmf: Holographic feature decomposition using quantum algorithms","author":"Poduval P. P.","year":"2024","unstructured":"P. P. Poduval et al., \"Hdqmf: Holographic feature decomposition using quantum algorithms,\" in Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 10 978--10 987.","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_6_1","first-page":"01","volume-title":"Brain-inspired trustworthy hyperdimensional computing with efficient uncertainty quantification,\" in 2023 IEEE\/ACM International Conference on Computer Aided Design (ICCAD)","author":"Ni Y.","year":"2023","unstructured":"Y. Ni et al., \"Brain-inspired trustworthy hyperdimensional computing with efficient uncertainty quantification,\" in 2023 IEEE\/ACM International Conference on Computer Aided Design (ICCAD), 2023, pp. 01--09."},{"key":"e_1_3_2_1_7_1","first-page":"445","volume-title":"IEEE","author":"Imani M.","year":"2017","unstructured":"M. Imani et al., \"Exploring hyperdimensional associative memory,\" in 2017 IEEE International Symposium on High Performance Computer Architecture (HPCA), IEEE, 2017, pp. 445--456."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3470496.3527422"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"P. Kanerva \"Binary spatter-coding of ordered k-tuples \" in ICANN 1996.","DOI":"10.1007\/3-540-61510-5_146"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2023.3289325"},{"key":"e_1_3_2_1_11_1","first-page":"25","volume-title":"Brain-inspired hyperdimensional computing for ultra-efficient edge ai,\" in 2022 International Conference on Hardware\/Software Codesign and System Synthesis (CODES+ISSS)","author":"Amrouch H.","year":"2022","unstructured":"H. Amrouch et al., \"Brain-inspired hyperdimensional computing for ultra-efficient edge ai,\" in 2022 International Conference on Hardware\/Software Codesign and System Synthesis (CODES+ISSS), 2022, pp. 25--34."},{"key":"e_1_3_2_1_12_1","first-page":"1","volume-title":"Invited paper: Hyperdimensional computing for resilient edge learning,\" in 2023 IEEE\/ACM International Conference on Computer Aided Design (ICCAD)","author":"Barkam H. E.","year":"2023","unstructured":"H. E. Barkam et al., \"Invited paper: Hyperdimensional computing for resilient edge learning,\" in 2023 IEEE\/ACM International Conference on Computer Aided Design (ICCAD), 2023, pp. 1--8."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.858329"},{"key":"e_1_3_2_1_14_1","first-page":"1","volume-title":"Scalable and interpretable brain-inspired hyper-dimensional computing intelligence with hardware-software co-design,\" in 2024 IEEE Custom Integrated Circuits Conference (CICC)","author":"Chen H.","year":"2024","unstructured":"H. Chen et al., \"Scalable and interpretable brain-inspired hyper-dimensional computing intelligence with hardware-software co-design,\" in 2024 IEEE Custom Integrated Circuits Conference (CICC), 2024, pp. 1--8."},{"key":"e_1_3_2_1_15_1","first-page":"488","volume-title":"A survey of task allocation techniques in mas,\" in 2021 International Conference on Unmanned Aircraft Systems (ICUAS)","author":"Skaltsis G. M.","year":"2021","unstructured":"G. M. Skaltsis et al., \"A survey of task allocation techniques in mas,\" in 2021 International Conference on Unmanned Aircraft Systems (ICUAS), 2021, pp. 488--497."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2024.3378223"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCAS.2020.2988388"},{"key":"e_1_3_2_1_18_1","first-page":"1","volume-title":"Storage and Analysis","author":"Zou Z.","year":"2021","unstructured":"Z. Zou et al., \"Scalable edge-based hyperdimensional learning system with brainlike neural adaptation,\" in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2021, pp. 1--15."},{"key":"e_1_3_2_1_19_1","volume-title":"Explainable hyperdimensional computing for balancing privacy and transparency in additive manufacturing monitoring","author":"Piran F. J.","year":"2024","unstructured":"F. J. Piran et al., Explainable hyperdimensional computing for balancing privacy and transparency in additive manufacturing monitoring, 2024. arXiv: 2407.07066 [cs.LG]."},{"key":"e_1_3_2_1_20_1","first-page":"34","volume-title":"Hypergraf: Hyperdimensional graph-based reasoning acceleration on fpga,\" in 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL)","author":"Chen H.","year":"2023","unstructured":"H. Chen et al., \"Hypergraf: Hyperdimensional graph-based reasoning acceleration on fpga,\" in 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL), 2023, pp. 34--41."},{"key":"e_1_3_2_1_21_1","first-page":"211","volume-title":"Architectures and Processors (ASAP)","author":"Zhang S.","year":"2021","unstructured":"S. Zhang et al., \"Assessing robustness of hyperdimensional computing against errors in associative memory : (invited paper),\" in 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2021, pp. 211--217."},{"key":"e_1_3_2_1_22_1","first-page":"281","volume-title":"Hyperdimensional computing for robust and efficient unsupervised learning,\" in 2023 57th Asilomar Conference on Signals, Systems, and Computers","author":"Yun S.","year":"2023","unstructured":"S. Yun et al., \"Hyperdimensional computing for robust and efficient unsupervised learning,\" in 2023 57th Asilomar Conference on Signals, Systems, and Computers, 2023, pp. 281--288."},{"key":"e_1_3_2_1_23_1","first-page":"1","volume-title":"IEEE","author":"Imani M.","year":"2017","unstructured":"M. Imani et al., \"Voicehd: Hyperdimensional computing for efficient speech recognition,\" in 2017 IEEE international conference on rebooting computing (ICRC), IEEE, 2017, pp. 1--8."},{"key":"e_1_3_2_1_24_1","first-page":"356","volume-title":"IEEE","author":"Imani M.","year":"2020","unstructured":"M. Imani et al., \"Dual: Acceleration of clustering algorithms using digital-based processing in-memory,\" in 2020 53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO), IEEE, 2020, pp. 356--371."},{"key":"e_1_3_2_1_25_1","first-page":"221","volume-title":"IEEE","author":"Imani M.","year":"2021","unstructured":"M. Imani et al., \"Revisiting hyperdimensional learning for fpga and low-power architectures,\" in 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA), IEEE, 2021, pp. 221--234."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-020-0410-3"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-23116-w"},{"key":"e_1_3_2_1_28_1","first-page":"1","volume-title":"Reliable hyperdimensional reasoning on unreliable emerging technologies,\" in 2023 IEEE\/ACM International Conference on Computer Aided Design (ICCAD)","author":"Barkam H. E.","year":"2023","unstructured":"H. E. Barkam et al., \"Reliable hyperdimensional reasoning on unreliable emerging technologies,\" in 2023 IEEE\/ACM International Conference on Computer Aided Design (ICCAD), 2023, pp. 1--9."},{"key":"e_1_3_2_1_29_1","first-page":"1","volume-title":"Automation Test in Europe Conference Exhibition (DATE)","author":"Huang Q.","year":"2024","unstructured":"Q. Huang et al., \"A fefet-based time-domain associative memory for multi-bit similarity computation,\" in 2024 Design, Automation Test in Europe Conference Exhibition (DATE), 2024, pp. 1--6."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2024.3351966"},{"key":"e_1_3_2_1_31_1","volume-title":"Neurally-inspired hyperdimensional classification for efficient and robust biosignal processing,\" in Proceedings of the 41st IEEE\/ACM International Conference on Computer-Aided Design, ser. ICCAD '22","author":"Ni Y.","year":"2022","unstructured":"Y. Ni et al., \"Neurally-inspired hyperdimensional classification for efficient and robust biosignal processing,\" in Proceedings of the 41st IEEE\/ACM International Conference on Computer-Aided Design, ser. ICCAD '22, San Diego, California: Association for Computing Machinery, 2022."},{"key":"e_1_3_2_1_32_1","volume-title":"Learning from hypervectors: A survey on hypervector encoding,\" arXiv preprint arXiv:2308.00685","author":"Aygun S.","year":"2023","unstructured":"S. Aygun et al., \"Learning from hypervectors: A survey on hypervector encoding,\" arXiv preprint arXiv:2308.00685, 2023."},{"key":"e_1_3_2_1_33_1","volume-title":"Sensors","volume":"19","author":"Reiss A.","unstructured":"A. Reiss et al., \"Deep PPG: Large-Scale heart rate estimation with convolutional neural networks,\" en, Sensors (Basel), vol. 19, no. 14, 2019."},{"key":"e_1_3_2_1_34_1","first-page":"5","article-title":"Graphd: Graph-based hyperdimensional memorization for brain-like cognitive learning","author":"Poduval P.","year":"2022","unstructured":"P. Poduval et al., \"Graphd: Graph-based hyperdimensional memorization for brain-like cognitive learning,\" Frontiers in Neuroscience, p. 5, 2022.","journal-title":"Frontiers in Neuroscience"},{"key":"e_1_3_2_1_35_1","first-page":"1","volume-title":"Automation & Test in Europe Conference & Exhibition (DATE)","author":"Barkam H. E.","year":"2023","unstructured":"H. E. Barkam et al., \"Hdgim: Hyperdimensional genome sequence matching on unreliable highly scaled fefet,\" in 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023, pp. 1--6."},{"key":"e_1_3_2_1_36_1","volume-title":"Hdreason: Algorithm-hardware codesign for hyperdimensional knowledge graph reasoning","author":"Chen H.","year":"2024","unstructured":"H. Chen et al., Hdreason: Algorithm-hardware codesign for hyperdimensional knowledge graph reasoning, 2024. arXiv: 2403.05763 [cs.AR]."},{"issue":"5","key":"e_1_3_2_1_37_1","first-page":"2033","article-title":"A review of bayesian machine learning principles, methods, and applications","volume":"8","author":"Bharadiya J. P.","year":"2023","unstructured":"J. P. Bharadiya, \"A review of bayesian machine learning principles, methods, and applications,\" International Journal of Innovative Science and Research Technology, vol. 8, no. 5, pp. 2033--2038, 2023.","journal-title":"International Journal of Innovative Science and Research Technology"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-43317-9"},{"volume-title":"Efficient resource-aware convolutional neural architecture search for edge computing with pareto-bayesian optimization,\" Sensors","author":"Yang Z.","key":"e_1_3_2_1_39_1","unstructured":"Z. Yang et al., \"Efficient resource-aware convolutional neural architecture search for edge computing with pareto-bayesian optimization,\" Sensors, vol. 21, no. 2, 2021."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2010.2048740"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012489924661"},{"key":"e_1_3_2_1_42_1","first-page":"01","volume-title":"IEEE","author":"Ni Y.","year":"2023","unstructured":"Y. Ni et al., \"Brain-inspired trustworthy hyperdimensional computing with efficient uncertainty quantification,\" in 2023 IEEE\/ACM International Conference on Computer Aided Design (ICCAD), IEEE, 2023, pp. 01--09."},{"key":"e_1_3_2_1_43_1","volume-title":"Heal: Brain-inspired hyperdimensional efficient active learning,\" arXiv preprint arXiv:2402.11223","author":"Ni Y.","year":"2024","unstructured":"Y. Ni et al., \"Heal: Brain-inspired hyperdimensional efficient active learning,\" arXiv preprint arXiv:2402.11223, 2024."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586160"},{"issue":"1","key":"e_1_3_2_1_45_1","first-page":"52","article-title":"A memristor-based bayesian machine","volume":"6","author":"Harabi K.-E.","year":"2023","unstructured":"K.-E. Harabi et al., \"A memristor-based bayesian machine,\" Nature Electronics, vol. 6, no. 1, pp. 52--63, 2023.","journal-title":"Nature Electronics"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2022.3224703"},{"key":"e_1_3_2_1_47_1","first-page":"32","volume-title":"IEEE","author":"Peng X.","year":"2019","unstructured":"X. Peng et al., \"Dnn+ neurosim: An end-to-end benchmarking framework for compute-in-memory accelerators with versatile device technologies,\" in 2019 IEEE international electron devices meeting (IEDM), IEEE, 2019, pp. 32--5."}],"event":{"name":"ICCAD '24: 43rd IEEE\/ACM International Conference on Computer-Aided Design","sponsor":["SIGDA ACM Special Interest Group on Design Automation","IEEE CAS","IEEE CEDA","IEEE EDS"],"location":"Newark Liberty International Airport Marriott New York NY USA","acronym":"ICCAD '24"},"container-title":["Proceedings of the 43rd IEEE\/ACM International Conference on Computer-Aided Design"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3676536.3676684","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3676536.3676684","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3676536.3676684","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T23:43:57Z","timestamp":1750290237000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3676536.3676684"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,27]]},"references-count":47,"alternative-id":["10.1145\/3676536.3676684","10.1145\/3676536"],"URL":"https:\/\/doi.org\/10.1145\/3676536.3676684","relation":{},"subject":[],"published":{"date-parts":[[2024,10,27]]},"assertion":[{"value":"2025-04-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}