{"id":"https://openalex.org/W4403278291","doi":"https://doi.org/10.1109/mfi62651.2024.10705779","title":"Enhanced SMC<sup>2</sup>: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals","display_name":"Enhanced SMC<sup>2</sup>: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals","publication_year":2024,"publication_date":"2024-09-04","ids":{"openalex":"https://openalex.org/W4403278291","doi":"https://doi.org/10.1109/mfi62651.2024.10705779"},"language":"en","primary_location":{"id":"doi:10.1109/mfi62651.2024.10705779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi62651.2024.10705779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003665024","display_name":"Conor Rosato","orcid":"https://orcid.org/0000-0001-8394-7344"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Conor Rosato","raw_affiliation_strings":["University of Liverpool,Department of Pharmacology and Therapeutics,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Liverpool,Department of Pharmacology and Therapeutics,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007595974","display_name":"Joshua Murphy","orcid":"https://orcid.org/0000-0001-9085-5755"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joshua Murphy","raw_affiliation_strings":["University of Liverpool,Department of Electrical Engineering and Electronics,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Liverpool,Department of Electrical Engineering and Electronics,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019054446","display_name":"Alessandro Varsi","orcid":"https://orcid.org/0000-0003-2218-4720"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alessandro Varsi","raw_affiliation_strings":["University of Liverpool,Department of Electrical Engineering and Electronics,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Liverpool,Department of Electrical Engineering and Electronics,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067315679","display_name":"Paul Horridge","orcid":"https://orcid.org/0009-0005-9381-3557"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul Horridge","raw_affiliation_strings":["University of Liverpool,Department of Electrical Engineering and Electronics,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Liverpool,Department of Electrical Engineering and Electronics,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083636287","display_name":"Simon Maskell","orcid":"https://orcid.org/0000-0003-1917-2913"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Maskell","raw_affiliation_strings":["University of Liverpool,Department of Electrical Engineering and Electronics,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Liverpool,Department of Electrical Engineering and Electronics,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003665024"],"corresponding_institution_ids":["https://openalex.org/I146655781"],"apc_list":null,"apc_paid":null,"fwci":0.5311,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62439603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11582","display_name":"Nanopore and Nanochannel Transport Studies","score":0.8823000192642212,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11582","display_name":"Nanopore and Nanochannel Transport Studies","score":0.8823000192642212,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.8618999719619751,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.8525000214576721,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.6398270130157471},{"id":"https://openalex.org/keywords/langevin-dynamics","display_name":"Langevin dynamics","score":0.5925084352493286},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.5662169456481934},{"id":"https://openalex.org/keywords/langevin-equation","display_name":"Langevin equation","score":0.4902079701423645},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.47946321964263916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4474322497844696},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.44163984060287476},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.42865657806396484},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.19831937551498413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19729411602020264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19249475002288818},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.1040019690990448},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08535400032997131}],"concepts":[{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.6398270130157471},{"id":"https://openalex.org/C2780004032","wikidata":"https://www.wikidata.org/wiki/Q6485978","display_name":"Langevin dynamics","level":2,"score":0.5925084352493286},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.5662169456481934},{"id":"https://openalex.org/C2777577648","wikidata":"https://www.wikidata.org/wiki/Q584537","display_name":"Langevin equation","level":2,"score":0.4902079701423645},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.47946321964263916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4474322497844696},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.44163984060287476},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.42865657806396484},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.19831937551498413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19729411602020264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19249475002288818},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.1040019690990448},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08535400032997131},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi62651.2024.10705779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi62651.2024.10705779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5}],"awards":[{"id":"https://openalex.org/G3922097231","display_name":null,"funder_award_id":"EP/R018537/1","funder_id":"https://openalex.org/F4320334609","funder_display_name":"Arts and Humanities Research Council"},{"id":"https://openalex.org/G4850962026","display_name":null,"funder_award_id":"EP/R018537/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334609","display_name":"Arts and Humanities Research Council","ror":"https://ror.org/0505m1554"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1501586228","https://openalex.org/W1876120984","https://openalex.org/W1983452151","https://openalex.org/W2010522529","https://openalex.org/W2051768929","https://openalex.org/W2059535441","https://openalex.org/W2111980769","https://openalex.org/W2141585124","https://openalex.org/W2147357149","https://openalex.org/W2160337655","https://openalex.org/W2165218107","https://openalex.org/W2217402295","https://openalex.org/W2577537660","https://openalex.org/W2802252679","https://openalex.org/W2954040150","https://openalex.org/W2962739356","https://openalex.org/W2997206660","https://openalex.org/W3019156444","https://openalex.org/W3046573566","https://openalex.org/W3046922824","https://openalex.org/W3174237283","https://openalex.org/W3211330167","https://openalex.org/W3215540479","https://openalex.org/W4293252589","https://openalex.org/W4388483010","https://openalex.org/W4390044799","https://openalex.org/W4390445385","https://openalex.org/W4392607779","https://openalex.org/W4392904628","https://openalex.org/W4394586038","https://openalex.org/W4401879719","https://openalex.org/W6640963894","https://openalex.org/W6684759363","https://openalex.org/W6753773310","https://openalex.org/W6766978945","https://openalex.org/W6790829752","https://openalex.org/W6846034546","https://openalex.org/W6846891126"],"related_works":["https://openalex.org/W4387774682","https://openalex.org/W2347749309","https://openalex.org/W2155468644","https://openalex.org/W4388714455","https://openalex.org/W2080085730","https://openalex.org/W3098261380","https://openalex.org/W3094412134","https://openalex.org/W2135598349","https://openalex.org/W2999738544","https://openalex.org/W2384389541"],"abstract_inverted_index":{"Sequential":[0],"Monte":[1],"Carlo":[2],"Squared":[3],"<tex":[4,112],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[5,29,113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$(\\mathbf{SMC}^{2})$</tex>":[6],"is":[7,99,135],"a":[8,41,50,67,81,123,129],"Bayesian":[9],"method":[10],"which":[11,137],"can":[12,63,78],"infer":[13],"the":[14,76,94,141],"states":[15],"and":[16,86,109],"parameters":[17],"of":[18],"non-linear,":[19],"non-Gaussian":[20],"state-space":[21],"models.":[22],"The":[23,60,96],"standard":[24],"random-walk":[25],"proposal":[26,69,77],"in":[27,80,111],"SMC<sup":[28],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[30],"faces":[31],"challenges,":[32],"particularly":[33],"with":[34,93],"high-dimensional":[35],"parameter":[36,89],"spaces.":[37],"This":[38],"study":[39],"outlines":[40],"novel":[42],"approach":[43],"by":[44],"harnessing":[45],"first-order":[46],"gradients":[47,62],"derived":[48],"from":[49],"Common":[51],"Random":[52],"Numbers":[53],"-":[54],"Particle":[55],"Filter":[56],"(CRN-PF)":[57],"using":[58,104],"PyTorch.":[59],"resulting":[61,97],"be":[64],"leveraged":[65],"within":[66,75],"Langevin":[68,73],"without":[70],"accept/reject.":[71],"Including":[72],"dynamics":[74],"result":[79],"higher":[82],"effective":[83],"sample":[84],"size":[85],"more":[87],"accurate":[88],"estimates":[90],"when":[91,126],"compared":[92,127],"random-walk.":[95],"algorithm":[98],"parallelized":[100],"on":[101],"distributed":[102],"memory":[103],"Message":[105],"Passing":[106],"Interface":[107],"(MPI)":[108],"runs":[110],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathcal{O}(\\log_{2}N)$</tex>":[114],"time":[115],"complexity.":[116],"Utilizing":[117],"64":[118],"computational":[119],"cores":[120],"we":[121],"obtain":[122],"51x":[124],"speed-up":[125],"to":[128,140],"single":[130],"core.":[131],"A":[132],"GitHub":[133],"link":[134],"given":[136],"provides":[138],"access":[139],"code.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}