{"id":"https://openalex.org/W4386047748","doi":"https://doi.org/10.1109/isit54713.2023.10206981","title":"On The Stability of Approximate Message Passing with Independent Measurement Ensembles","display_name":"On The Stability of Approximate Message Passing with Independent Measurement Ensembles","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386047748","doi":"https://doi.org/10.1109/isit54713.2023.10206981"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","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/A5084544691","display_name":"Dang Qua Nguyen","orcid":"https://orcid.org/0000-0003-0535-5428"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dang Qua Nguyen","raw_affiliation_strings":["The University of Kansas,Department of Electrical Engineering and Computer Science,Lawrence,USA,KS 66045"],"affiliations":[{"raw_affiliation_string":"The University of Kansas,Department of Electrical Engineering and Computer Science,Lawrence,USA,KS 66045","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101925384","display_name":"Taejoon Kim","orcid":"https://orcid.org/0000-0002-4017-9530"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taejoon Kim","raw_affiliation_strings":["The University of Kansas,Department of Electrical Engineering and Computer Science,Lawrence,USA,KS 66045"],"affiliations":[{"raw_affiliation_string":"The University of Kansas,Department of Electrical Engineering and Computer Science,Lawrence,USA,KS 66045","institution_ids":["https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084544691"],"corresponding_institution_ids":["https://openalex.org/I146416000"],"apc_list":null,"apc_paid":null,"fwci":0.6496,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62485526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"779","last_page":"784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/lipschitz-continuity","display_name":"Lipschitz continuity","score":0.7596836090087891},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.7195843458175659},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5751441121101379},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5341917872428894},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5228127241134644},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.48090386390686035},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.47508683800697327},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.400585412979126},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.34549614787101746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3235574960708618},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.259646475315094},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2463614046573639}],"concepts":[{"id":"https://openalex.org/C22324862","wikidata":"https://www.wikidata.org/wiki/Q652707","display_name":"Lipschitz continuity","level":2,"score":0.7596836090087891},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.7195843458175659},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5751441121101379},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5341917872428894},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5228127241134644},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.48090386390686035},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.47508683800697327},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.400585412979126},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.34549614787101746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3235574960708618},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.259646475315094},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2463614046573639},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W20965155","https://openalex.org/W1540243343","https://openalex.org/W1604314845","https://openalex.org/W1873595945","https://openalex.org/W1965392255","https://openalex.org/W1965875863","https://openalex.org/W2031332582","https://openalex.org/W2067038358","https://openalex.org/W2082029531","https://openalex.org/W2090878544","https://openalex.org/W2148486648","https://openalex.org/W2154153158","https://openalex.org/W2166500259","https://openalex.org/W2169732368","https://openalex.org/W2186745177","https://openalex.org/W2571114381","https://openalex.org/W2596690402","https://openalex.org/W2610971674","https://openalex.org/W2777627674","https://openalex.org/W2889120575","https://openalex.org/W2913473169","https://openalex.org/W2942034734","https://openalex.org/W2945463326","https://openalex.org/W2963206527","https://openalex.org/W2964082107","https://openalex.org/W2964227601","https://openalex.org/W2976258455","https://openalex.org/W2980141162","https://openalex.org/W2981549002","https://openalex.org/W3015536096","https://openalex.org/W3047056972","https://openalex.org/W3091608947","https://openalex.org/W3098848552","https://openalex.org/W3103424327","https://openalex.org/W3103929211","https://openalex.org/W3104075626","https://openalex.org/W3105600170","https://openalex.org/W3158809943","https://openalex.org/W4232753567","https://openalex.org/W4248709896","https://openalex.org/W4250955649","https://openalex.org/W4287802489","https://openalex.org/W4293867785","https://openalex.org/W4295916833","https://openalex.org/W4298293984","https://openalex.org/W4386047748","https://openalex.org/W4386747131","https://openalex.org/W6639201957","https://openalex.org/W6745848934","https://openalex.org/W6769670199","https://openalex.org/W6777074752"],"related_works":["https://openalex.org/W2347733609","https://openalex.org/W2066502241","https://openalex.org/W2605475288","https://openalex.org/W2292976891","https://openalex.org/W4240383795","https://openalex.org/W4297848787","https://openalex.org/W4245457074","https://openalex.org/W2128683635","https://openalex.org/W2008809748","https://openalex.org/W2140857733"],"abstract_inverted_index":{"Approximate":[0],"message":[1],"passing":[2],"(AMP)":[3],"is":[4,46,115,129],"a":[5,35,59,77,132,153,160],"scalable,":[6],"iterative":[7],"approach":[8],"to":[9,58,76,152],"signal":[10],"recovery.":[11],"For":[12],"structured":[13],"random":[14],"measurement":[15,63,113,157],"ensembles,":[16],"including":[17],"independent":[18,66],"and":[19,24,159],"identically":[20,69],"distributed":[21],"(i.i.d.)":[22],"Gaussian":[23],"rotationally-invariant":[25],"matrices,":[26],"the":[27,54,90,94,101,111,125,137,141,147,150],"performance":[28],"of":[29,62,80,108,122,124,140,149,156,163],"AMP":[30,57,142],"can":[31],"be":[32],"characterized":[33],"by":[34,89,117,131],"scalar":[36],"recursion":[37],"called":[38,82],"state":[39],"evolution":[40],"(SE).":[41],"The":[42,106,120,144],"pseudo-Lipschitz":[43,95],"(polynomial)":[44],"smoothness":[45,123],"conventionally":[47],"assumed.":[48],"In":[49],"this":[50],"work,":[51],"we":[52],"extend":[53,74],"SE":[55,151],"for":[56],"new":[60,161],"class":[61,79,155,162],"matrices":[64],"with":[65],"(not":[67],"necessarily":[68],"distributed)":[70],"entries.":[71],"We":[72],"also":[73],"it":[75],"general":[78],"functions,":[81],"controlled":[83,102,127],"functions":[84],"which":[85],"are":[86],"not":[87],"constrained":[88],"polynomial":[91,99],"smoothness;":[92],"unlike":[93],"function":[96,103,128],"that":[97],"has":[98],"smoothness,":[100],"grows":[104],"exponentially.":[105],"lack":[107,121],"structure":[109],"in":[110],"assumed":[112,126],"ensembles":[114,158],"addressed":[116,130],"leveraging":[118,136],"Lindeberg-Feller.":[119],"proposed":[133],"conditioning":[134],"technique":[135],"empirical":[138],"statistics":[139],"instances.":[143],"resultants":[145],"grant":[146],"use":[148],"broader":[154],"functions.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
