{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T04:01:18Z","timestamp":1743307278875,"version":"3.40.3"},"reference-count":52,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T00:00:00Z","timestamp":1734307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T00:00:00Z","timestamp":1734307200000},"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":[[2024,12,16]]},"DOI":"10.1109\/icrc64395.2024.10937023","type":"proceedings-article","created":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T03:23:48Z","timestamp":1743132228000},"page":"1-20","source":"Crossref","is-referenced-by-count":1,"title":["Thermodynamic Bayesian Inference"],"prefix":"10.1109","author":[{"given":"Maxwell","family":"Aifer","sequence":"first","affiliation":[{"name":"Normal Computing Corporation,New York,New York,USA"}]},{"given":"Samuel","family":"Duffield","sequence":"additional","affiliation":[{"name":"Normal Computing Corporation,New York,New York,USA"}]},{"given":"Kaelan","family":"Donatella","sequence":"additional","affiliation":[{"name":"Normal Computing Corporation,New York,New York,USA"}]},{"given":"Denis","family":"Melanson","sequence":"additional","affiliation":[{"name":"Normal Computing Corporation,New York,New York,USA"}]},{"given":"Phoebe","family":"Klett","sequence":"additional","affiliation":[{"name":"Normal Computing Corporation,New York,New York,USA"}]},{"given":"Zach","family":"Belateche","sequence":"additional","affiliation":[{"name":"Normal Computing Corporation,New York,New York,USA"}]},{"given":"Gavin","family":"Crooks","sequence":"additional","affiliation":[{"name":"Normal Computing Corporation,New York,New York,USA"}]},{"given":"Antonio J.","family":"Martinez","sequence":"additional","affiliation":[{"name":"Normal Computing Corporation,New York,New York,USA"}]},{"given":"Patrick J.","family":"Coles","sequence":"additional","affiliation":[{"name":"Normal Computing Corporation,New York,New York,USA"}]}],"member":"263","reference":[{"article-title":"Bayesian workflow","year":"2020","author":"Gelman","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1561\/9781680834710"},{"key":"ref3","first-page":"4697","article-title":"Bayesian deep learning and a probabilistic perspective of generalization","volume":"33","author":"Wilson","year":"2020","journal-title":"Advances in neural information processing systems"},{"article-title":"Scalable bayesian learning with posteriors","year":"2024","author":"Duffield","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.05.008"},{"article-title":"Position: Bayesian deep learning is needed in the age of large-scale ai","volume-title":"Forty-first International Conference on Machine Learning","author":"Papamarkou","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5"},{"key":"ref8","first-page":"267","article-title":"Bayesian regression and classification","volume-title":"Advances in learning theory: methods, models and applications","author":"Bishop","year":"2003"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1017\/9781108917407"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"article-title":"Variational continual learning","volume-title":"International Conference on Learning Representations","author":"Nguyen","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2022.109523"},{"key":"ref13","first-page":"4629","article-title":"What are bayesian neural network posteriors really like?","volume-title":"International conference on machine learning","author":"Izmailov"},{"journal-title":"Laplace redux \u2013 effortless bayesian deep learning","year":"2022","author":"Daxberger","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1285773"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1126\/science.aah4243"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-49699-5"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s42254-022-00440-8"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1063\/5.0016140"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-19311-9_19"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM45625.2022.10019548"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1063\/1.5055860"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-022-00774-2"},{"article-title":"Thermodynamic computing","year":"2019","author":"Conte","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/e22030256"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRC.2017.8123676"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICRC60800.2023.10386858"},{"article-title":"Thermodynamic computing system for AI applications","year":"2023","author":"Melanson","key":"ref28"},{"article-title":"Thermodynamic linear algebra","year":"2023","author":"Aifer","key":"ref29"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1103\/physrevresearch.7.013147"},{"article-title":"Error mitigation for thermodynamic computing","year":"2024","author":"Aifer","key":"ref31"},{"article-title":"Thermodynamic computing via autonomous quantum thermal machines","year":"2023","author":"Lipka-Bartosik","key":"ref32"},{"article-title":"Thermodynamic natural gradient descent","year":"2024","author":"Donatella","key":"ref33"},{"article-title":"Mcmc using hamiltonian dynamics","year":"2012","author":"Neal","key":"ref34"},{"key":"ref35","first-page":"681","article-title":"Bayesian learning via stochastic gradient langevin dynamics","volume-title":"Proceedings of the 28th international conference on machine learning (ICML-11)","author":"Welling"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.2307\/2531274"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1088\/0034-4885\/75\/12\/126001"},{"article-title":"Entropy, divergence, and majorization in classical and quantum thermodynamics","year":"2020","author":"Sagawa","key":"ref38"},{"volume-title":"Stochastic thermodynamics: an introduction","year":"2021","author":"Peliti","key":"ref39"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-3800(00)00301-X"},{"key":"ref41","article-title":"Bayesian linear regression","volume-title":"Technical report","author":"Minka","year":"2000"},{"volume-title":"Probabilistic machine learning: an introduction","year":"2022","author":"Murphy","key":"ref42"},{"article-title":"Matrix multiplication in quadratic time and energy? towards a fine-grained energy-centric church-turing thesis","year":"2023","author":"Valiant","key":"ref43"},{"volume-title":"thermox: Exact ou processes with jax","year":"2024","author":"Duffield","key":"ref44"},{"key":"ref45","article-title":"Measuring sample quality with stein\u2019s method","volume":"28","author":"Gorham","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.99.052140"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.jphysparis.2006.10.001"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.109.120604"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.94.022102"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1137\/S0036141096303359"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26300-2_15"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfa.2012.07.007"}],"event":{"name":"2024 IEEE International Conference on Rebooting Computing (ICRC)","start":{"date-parts":[[2024,12,16]]},"location":"San Diego, CA, USA","end":{"date-parts":[[2024,12,17]]}},"container-title":["2024 IEEE International Conference on Rebooting Computing (ICRC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10936635\/10936996\/10937023.pdf?arnumber=10937023","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T03:08:44Z","timestamp":1743217724000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10937023\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,16]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/icrc64395.2024.10937023","relation":{},"subject":[],"published":{"date-parts":[[2024,12,16]]}}}