{"id":"https://openalex.org/W4415624608","doi":"https://doi.org/10.1109/ipin66788.2025.11213414","title":"On Mutual Information Neural Estimation for Localization","display_name":"On Mutual Information Neural Estimation for Localization","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4415624608","doi":"https://doi.org/10.1109/ipin66788.2025.11213414"},"language":null,"primary_location":{"id":"doi:10.1109/ipin66788.2025.11213414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin66788.2025.11213414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006634867","display_name":"Sven Hinderer","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sven Hinderer","raw_affiliation_strings":["University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116088091","display_name":"Manuel Buchfink","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Manuel Buchfink","raw_affiliation_strings":["University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100778640","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-3783-2228"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.3767000138759613,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.3767000138759613,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.32120001316070557,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10860","display_name":"Speech and Audio Processing","score":0.030700000002980232,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/mutual-information","display_name":"Mutual information","score":0.7545999884605408},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7470999956130981},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5863000154495239},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5485000014305115},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5310999751091003},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4722000062465668},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44339999556541443},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.42480000853538513}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.7545999884605408},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7470999956130981},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5863000154495239},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5485000014305115},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5310999751091003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5249999761581421},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5110999941825867},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4722000062465668},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44339999556541443},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3833000063896179},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3521000146865845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33629998564720154},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.2962999939918518},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2957000136375427},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2614000141620636},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C31388003","wikidata":"https://www.wikidata.org/wiki/Q7624548","display_name":"Strong consistency","level":3,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipin66788.2025.11213414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin66788.2025.11213414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2004207982","https://openalex.org/W2076580309","https://openalex.org/W2078927150","https://openalex.org/W2092939357","https://openalex.org/W2138328958","https://openalex.org/W2319038583","https://openalex.org/W2884212482","https://openalex.org/W2901025517","https://openalex.org/W2964314192","https://openalex.org/W3016126711","https://openalex.org/W4232613155","https://openalex.org/W4293363567","https://openalex.org/W4315606113","https://openalex.org/W4389388541"],"related_works":[],"abstract_inverted_index":{"Mutual":[0,56],"information":[1],"(MI)":[2],"is":[3,112],"a":[4,48,92],"promising":[5],"candidate":[6],"measure":[7],"for":[8,32,38,85,101,127],"the":[9,25,63,66,75,98,123],"assessment":[10],"and":[11,74,118,120],"optimization":[12],"of":[13,28,51,68,78,125],"localization":[14,41],"systems,":[15],"as":[16],"it":[17],"captures":[18],"nonlinear":[19],"dependencies":[20],"between":[21,65],"random":[22],"variables.":[23],"However,":[24],"high":[26],"cost":[27],"computing":[29],"MI,":[30],"especially":[31],"high-dimensional":[33],"problems,":[34],"prohibits":[35],"its":[36,116],"application":[37],"many":[39],"real-world":[40],"systems.":[42,131],"We":[43,87],"evaluate":[44],"an":[45],"algorithm":[46],"from":[47,80],"new":[49],"class":[50],"neural":[52],"MI":[53,64,100,126],"estimators":[54],"called":[55],"Information":[57],"Neural":[58],"Estimation":[59],"(MINE)":[60],"to":[61,91],"approximate":[62],"set":[67,77],"feasible":[69],"user":[70],"element":[71],"(UE)":[72],"locations":[73,83],"corresponding":[76],"measurements":[79],"said":[81],"UE":[82],"used":[84],"positioning.":[86],"apply":[88],"this":[89],"estimator":[90,111],"simulated":[93],"multilateration":[94],"(MLAT)":[95],"system,":[96],"where":[97],"true":[99],"benchmarking":[102],"can":[103],"be":[104],"approximated":[105],"by":[106],"Monte":[107],"Carlo":[108],"simulation.":[109],"The":[110],"experimentally":[113],"evaluated":[114],"w.r.t.":[115],"convergence":[117],"consistency":[119],"we":[121],"investigate":[122],"usefulness":[124],"assessing":[128],"simple":[129],"MLAT":[130]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-28T00:00:00"}