{"id":"https://openalex.org/W4393407148","doi":"https://doi.org/10.1109/ciss59072.2024.10480173","title":"Learning Embedding Representations in High Dimensions","display_name":"Learning Embedding Representations in High Dimensions","publication_year":2024,"publication_date":"2024-03-13","ids":{"openalex":"https://openalex.org/W4393407148","doi":"https://doi.org/10.1109/ciss59072.2024.10480173"},"language":"en","primary_location":{"id":"doi:10.1109/ciss59072.2024.10480173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss59072.2024.10480173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Annual Conference on Information Sciences and Systems (CISS)","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/A5092938696","display_name":"Golara Ahmadi Azar","orcid":"https://orcid.org/0009-0000-2016-2822"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Golara Ahmadi Azar","raw_affiliation_strings":["UCLA,Electrical and Computer Engineering Department,Los Angeles,CA","Electrical and Computer Engineering Department, UCLA, Los Angeles, CA"],"affiliations":[{"raw_affiliation_string":"UCLA,Electrical and Computer Engineering Department,Los Angeles,CA","institution_ids":[]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, UCLA, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055208311","display_name":"Melika Emami","orcid":"https://orcid.org/0000-0002-4740-9626"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melika Emami","raw_affiliation_strings":["UCLA,Electrical and Computer Engineering Department,Los Angeles,CA","Electrical and Computer Engineering Department, UCLA, Los Angeles, CA"],"affiliations":[{"raw_affiliation_string":"UCLA,Electrical and Computer Engineering Department,Los Angeles,CA","institution_ids":[]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, UCLA, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073129946","display_name":"Alyson K. Fletcher","orcid":"https://orcid.org/0000-0002-3756-6580"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alyson Fletcher","raw_affiliation_strings":["UCLA,Electrical and Computer Engineering Department,Los Angeles,CA","Electrical and Computer Engineering Department, UCLA, Los Angeles, CA"],"affiliations":[{"raw_affiliation_string":"UCLA,Electrical and Computer Engineering Department,Los Angeles,CA","institution_ids":[]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, UCLA, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000099903","display_name":"Sundeep Rangan","orcid":"https://orcid.org/0000-0002-0925-8169"},"institutions":[{"id":"https://openalex.org/I83041322","display_name":"Brooklyn College","ror":"https://ror.org/019k4jq75","country_code":"US","type":"education","lineage":["https://openalex.org/I83041322"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sundeep Rangan","raw_affiliation_strings":["NYU,Electrical and Computer Engineering Department,Brooklyn,NY","Electrical and Computer Engineering Department, NYU, Brooklyn, NY"],"affiliations":[{"raw_affiliation_string":"NYU,Electrical and Computer Engineering Department,Brooklyn,NY","institution_ids":["https://openalex.org/I83041322"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, NYU, Brooklyn, NY","institution_ids":["https://openalex.org/I83041322"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5092938696"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62034226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.815500020980835,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.815500020980835,"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/embedding","display_name":"Embedding","score":0.6577726602554321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6508165001869202},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36632007360458374},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35735881328582764}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6577726602554321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6508165001869202},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36632007360458374},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35735881328582764}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss59072.2024.10480173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss59072.2024.10480173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1607035479","https://openalex.org/W1614298861","https://openalex.org/W1625271478","https://openalex.org/W1922029667","https://openalex.org/W1959879694","https://openalex.org/W2082029531","https://openalex.org/W2250539671","https://openalex.org/W2508909698","https://openalex.org/W2571114381","https://openalex.org/W2604272474","https://openalex.org/W2610971674","https://openalex.org/W2723734710","https://openalex.org/W2891768540","https://openalex.org/W2914304175","https://openalex.org/W2952364022","https://openalex.org/W2963050343","https://openalex.org/W2963450965","https://openalex.org/W2963626623","https://openalex.org/W2964227601","https://openalex.org/W2964282092","https://openalex.org/W3098500246","https://openalex.org/W3098848552","https://openalex.org/W3105600170","https://openalex.org/W3121355058","https://openalex.org/W3126400887","https://openalex.org/W4292482091","https://openalex.org/W4321497407","https://openalex.org/W4389767964","https://openalex.org/W6636510571","https://openalex.org/W6660603976","https://openalex.org/W6674881146","https://openalex.org/W6676984168","https://openalex.org/W6680012447","https://openalex.org/W6859355072"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2081900870","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Embeddings":[0],"are":[1,32,37,172],"a":[2,26,66,108],"basic":[3,50],"initial":[4],"feature":[5],"extraction":[6],"step":[7],"in":[8,14,45,129],"many":[9],"machine":[10],"learning":[11],"models,":[12],"particularly":[13],"natural":[15],"language":[16],"processing.":[17],"An":[18],"embedding":[19,47,57,80,163],"attempts":[20],"to":[21,25,34,39,89],"map":[22],"data":[23,72,179],"tokens":[24,31],"low-dimensional":[27],"space":[28],"where":[29,73,81],"similar":[30],"mapped":[33],"vectors":[35],"that":[36,101],"close":[38],"one":[40],"another":[41],"by":[42,107,174],"some":[43,76],"metric":[44],"the":[46,82,90,93,102,124,127,135,140,147,153,156,159,162,166],"space.":[48],"A":[49],"question":[51],"is":[52,75,87,99],"how":[53],"well":[54],"can":[55,104],"such":[56,145],"be":[58,105],"learned?":[59],"To":[60],"study":[61],"this":[62,96],"problem,":[63],"we":[64],"consider":[65],"simple":[67],"probability":[68,167],"model":[69],"for":[70],"discrete":[71],"there":[74],"\"true\"":[77],"but":[78],"unknown":[79],"correlation":[83,164],"of":[84,92,110,123,126,142,149,155,161],"random":[85],"variables":[86],"related":[88],"similarity":[91],"embeddings.":[94],"Under":[95],"model,":[97],"it":[98],"shown":[100],"embeddings":[103],"learned":[106],"variant":[109],"low-rank":[111],"approximate":[112],"message":[113],"passing":[114],"(AMP)":[115],"method.":[116],"The":[117],"AMP":[118],"approach":[119],"enables":[120],"precise":[121],"predictions":[122],"accuracy":[125],"estimation":[128],"certain":[130],"high-dimensional":[131],"limits.":[132],"In":[133],"particular,":[134],"methodology":[136],"provides":[137],"insight":[138],"on":[139,165,176],"relations":[141],"key":[143],"parameters":[144],"as":[146],"number":[148],"samples":[150],"per":[151],"value,":[152],"frequency":[154],"terms,":[157],"and":[158,180],"strength":[160],"distribution.":[168],"Our":[169],"theoretical":[170],"findings":[171],"validated":[173],"simulations":[175],"both":[177],"synthetic":[178],"real":[181],"text":[182],"data.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
