{"id":"https://openalex.org/W4405717652","doi":"https://doi.org/10.1109/tsp.2024.3521338","title":"Normalizing Flow-Based Differentiable Particle Filters","display_name":"Normalizing Flow-Based Differentiable Particle Filters","publication_year":2024,"publication_date":"2024-12-23","ids":{"openalex":"https://openalex.org/W4405717652","doi":"https://doi.org/10.1109/tsp.2024.3521338"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2024.3521338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3521338","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5072195876","display_name":"Xiongjie Chen","orcid":"https://orcid.org/0000-0001-5107-792X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiongjie Chen","raw_affiliation_strings":["Center for Oral, Clinical, and Translational Sciences, Faculty of Dentistry, Oral &#x0026; Craniofacial Sciences, King&#x2019;s College London, London, U.K","Center for Oral, Clinical & Translational Sciences, Faculty of Dentistry, Oral & Craniofacial Sciences, King&#x2019;s College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Center for Oral, Clinical, and Translational Sciences, Faculty of Dentistry, Oral &#x0026; Craniofacial Sciences, King&#x2019;s College London, London, U.K","institution_ids":[]},{"raw_affiliation_string":"Center for Oral, Clinical & Translational Sciences, Faculty of Dentistry, Oral & Craniofacial Sciences, King&#x2019;s College London, London, U.K","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100331862","display_name":"Yunpeng Li","orcid":"https://orcid.org/0000-0003-4798-541X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunpeng Li","raw_affiliation_strings":["Center for Oral, Clinical, and Translational Sciences, Faculty of Dentistry, Oral &#x0026; Craniofacial Sciences, King&#x2019;s College London, London, U.K","Center for Oral, Clinical & Translational Sciences, Faculty of Dentistry, Oral & Craniofacial Sciences, King&#x2019;s College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Center for Oral, Clinical, and Translational Sciences, Faculty of Dentistry, Oral &#x0026; Craniofacial Sciences, King&#x2019;s College London, London, U.K","institution_ids":[]},{"raw_affiliation_string":"Center for Oral, Clinical & Translational Sciences, Faculty of Dentistry, Oral & Craniofacial Sciences, King&#x2019;s College London, London, U.K","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072195876"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8529,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84628248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"493","last_page":"507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.8827999830245972,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.8827999830245972,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.8824999928474426,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.6328622102737427},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5166559815406799},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4980185031890869},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.469819575548172},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.44454169273376465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.430553674697876},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4292604327201843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4021591544151306},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3364911675453186},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32735660672187805},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.31280097365379333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24182987213134766},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15187489986419678},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14768874645233154},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.13271695375442505},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10985049605369568}],"concepts":[{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.6328622102737427},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5166559815406799},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4980185031890869},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.469819575548172},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.44454169273376465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.430553674697876},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4292604327201843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4021591544151306},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3364911675453186},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32735660672187805},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.31280097365379333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24182987213134766},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15187489986419678},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14768874645233154},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.13271695375442505},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10985049605369568},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2024.3521338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3521338","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W3294551","https://openalex.org/W60079408","https://openalex.org/W95577512","https://openalex.org/W1483307070","https://openalex.org/W1501586228","https://openalex.org/W1522301498","https://openalex.org/W1670531616","https://openalex.org/W1876120984","https://openalex.org/W1969372336","https://openalex.org/W1999674105","https://openalex.org/W2007998685","https://openalex.org/W2010522529","https://openalex.org/W2023360702","https://openalex.org/W2040196349","https://openalex.org/W2048398684","https://openalex.org/W2065266611","https://openalex.org/W2088311145","https://openalex.org/W2095409338","https://openalex.org/W2098091224","https://openalex.org/W2098613108","https://openalex.org/W2105934661","https://openalex.org/W2106245815","https://openalex.org/W2110561346","https://openalex.org/W2111099383","https://openalex.org/W2115722408","https://openalex.org/W2130363011","https://openalex.org/W2136779477","https://openalex.org/W2162733643","https://openalex.org/W2169387407","https://openalex.org/W2335829695","https://openalex.org/W2341285855","https://openalex.org/W2742165450","https://openalex.org/W2745724175","https://openalex.org/W2793477525","https://openalex.org/W2938895217","https://openalex.org/W2963371290","https://openalex.org/W2963672032","https://openalex.org/W2982582821","https://openalex.org/W2992005611","https://openalex.org/W2998106940","https://openalex.org/W2998415999","https://openalex.org/W3037681644","https://openalex.org/W3090482648","https://openalex.org/W3114773556","https://openalex.org/W3130934167","https://openalex.org/W3174237283","https://openalex.org/W3174681888","https://openalex.org/W3183282730","https://openalex.org/W3195936064","https://openalex.org/W3207180569","https://openalex.org/W3210967620","https://openalex.org/W3211330167","https://openalex.org/W4221144104","https://openalex.org/W4233762729","https://openalex.org/W4244486013","https://openalex.org/W4255133955","https://openalex.org/W4387609070","https://openalex.org/W4390445385","https://openalex.org/W6610566761","https://openalex.org/W6676780147","https://openalex.org/W6680456232","https://openalex.org/W6682962330","https://openalex.org/W6712730493","https://openalex.org/W6714644935","https://openalex.org/W6738021322","https://openalex.org/W6738609897","https://openalex.org/W6738623590","https://openalex.org/W6739901393","https://openalex.org/W6750411654","https://openalex.org/W6752910514","https://openalex.org/W6753773310","https://openalex.org/W6754779804","https://openalex.org/W6755477022","https://openalex.org/W6756138707","https://openalex.org/W6763868703","https://openalex.org/W6766978908","https://openalex.org/W6770847983","https://openalex.org/W6771256060","https://openalex.org/W6771344510","https://openalex.org/W6776210289","https://openalex.org/W6780225908","https://openalex.org/W6790829752","https://openalex.org/W6796030627","https://openalex.org/W6796529951","https://openalex.org/W6861058805"],"related_works":["https://openalex.org/W4285277090","https://openalex.org/W4327738859","https://openalex.org/W2348722996","https://openalex.org/W2334570605","https://openalex.org/W3181683615","https://openalex.org/W4286826125","https://openalex.org/W1633485514","https://openalex.org/W1604739066","https://openalex.org/W2347749309","https://openalex.org/W2384389541"],"abstract_inverted_index":{"Recently,":[0],"there":[1],"has":[2],"been":[3],"a":[4,54,61,87,126,156],"surge":[5],"of":[6,141,158],"interest":[7],"in":[8,33,77,125],"incorporating":[9],"neural":[10,45],"networks":[11,46],"into":[12],"particle":[13,17,38,63,89,152],"filters,":[14,18],"e.g.":[15],"differentiable":[16,37,88,151],"to":[19,60,97,120,132],"perform":[20],"joint":[21],"sequential":[22],"state":[23],"estimation":[24],"and":[25,104,145],"model":[26],"learning":[27],"for":[28],"nonlinear":[29],"non-Gaussian":[30],"state-space":[31],"models":[32],"complex":[34,79],"environments.":[35],"Existing":[36],"filters":[39,144],"are":[40,57],"mostly":[41],"constructed":[42],"with":[43],"vanilla":[44],"that":[47,92],"do":[48],"not":[49,108],"allow":[50],"density":[51],"estimation.":[52],"As":[53],"result,":[55],"they":[56],"either":[58],"restricted":[59,131],"bootstrap":[62],"filtering":[64,90],"framework":[65,91],"or":[66],"employ":[67],"predefined":[68,133],"distribution":[69,134],"families":[70],"(e.g.":[71],"Gaussian":[72],"distributions),":[73],"limiting":[74],"their":[75],"performance":[76,154],"more":[78],"real-world":[80],"scenarios.":[81],"In":[82],"this":[83],"paper":[84],"we":[85],"present":[86],"uses":[93],"(conditional)":[94],"normalizing":[95,149],"flows":[96],"build":[98],"its":[99],"dynamic":[100],"model,":[101],"proposal":[102],"distribution,":[103],"measurement":[105],"model.":[106],"This":[107],"only":[109],"enables":[110],"valid":[111],"probability":[112],"densities":[113],"but":[114],"also":[115],"allows":[116],"the":[117,138,142,147],"proposed":[118,143,148],"method":[119],"adaptively":[121],"learn":[122],"these":[123],"modules":[124],"flexible":[127],"way,":[128],"without":[129],"being":[130],"families.":[135],"We":[136],"derive":[137],"theoretical":[139],"properties":[140],"evaluate":[146],"flow-based":[150],"filters\u2019":[153],"through":[155],"series":[157],"numerical":[159],"experiments.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
