{"id":"https://openalex.org/W2914227521","doi":"https://doi.org/10.1109/allerton.2018.8635888","title":"Rate Distortion Via Restricted Boltzmann Machines","display_name":"Rate Distortion Via Restricted Boltzmann Machines","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2914227521","doi":"https://doi.org/10.1109/allerton.2018.8635888","mag":"2914227521"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2018.8635888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2018.8635888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","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/A5100404116","display_name":"Qing Li","orcid":"https://orcid.org/0000-0002-6246-7082"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qing Li","raw_affiliation_strings":["ScaleFlux Inc, San Jose, CA"],"affiliations":[{"raw_affiliation_string":"ScaleFlux Inc, San Jose, CA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350462","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0002-9516-8134"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Department of Statistics, University of Michigan, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100404116"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6267,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75220075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1052","last_page":"1059"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9966999888420105,"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/T11309","display_name":"Music and Audio Processing","score":0.9940000176429749,"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/boltzmann-machine","display_name":"Boltzmann machine","score":0.7680333852767944},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.748397946357727},{"id":"https://openalex.org/keywords/distortion-function","display_name":"Distortion function","score":0.6984304785728455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6041412353515625},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5685044527053833},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.555363655090332},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5248674750328064},{"id":"https://openalex.org/keywords/boltzmann-constant","display_name":"Boltzmann constant","score":0.5163613557815552},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5136310458183289},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48737579584121704},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4601841866970062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4493756592273712},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.44750556349754333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43342751264572144},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.27250927686691284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26698559522628784},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1995008885860443},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11374184489250183},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09677952527999878},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09109744429588318}],"concepts":[{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.7680333852767944},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.748397946357727},{"id":"https://openalex.org/C2780803321","wikidata":"https://www.wikidata.org/wiki/Q5283073","display_name":"Distortion function","level":3,"score":0.6984304785728455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6041412353515625},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5685044527053833},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.555363655090332},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5248674750328064},{"id":"https://openalex.org/C35304006","wikidata":"https://www.wikidata.org/wiki/Q5962","display_name":"Boltzmann constant","level":2,"score":0.5163613557815552},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5136310458183289},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48737579584121704},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4601841866970062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4493756592273712},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.44750556349754333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43342751264572144},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.27250927686691284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26698559522628784},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1995008885860443},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11374184489250183},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09677952527999878},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09109744429588318},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/allerton.2018.8635888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2018.8635888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","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":49,"referenced_works":["https://openalex.org/W108696806","https://openalex.org/W161217653","https://openalex.org/W177847060","https://openalex.org/W189596042","https://openalex.org/W589394910","https://openalex.org/W1512984504","https://openalex.org/W1513873506","https://openalex.org/W1601876965","https://openalex.org/W1660164274","https://openalex.org/W1735950760","https://openalex.org/W2011442073","https://openalex.org/W2013164703","https://openalex.org/W2022850264","https://openalex.org/W2025533349","https://openalex.org/W2029236670","https://openalex.org/W2042492924","https://openalex.org/W2047679307","https://openalex.org/W2064630666","https://openalex.org/W2080570118","https://openalex.org/W2093559122","https://openalex.org/W2095748729","https://openalex.org/W2096192494","https://openalex.org/W2099111195","https://openalex.org/W2099866409","https://openalex.org/W2103359087","https://openalex.org/W2108742720","https://openalex.org/W2116064496","https://openalex.org/W2116825644","https://openalex.org/W2118312589","https://openalex.org/W2135094946","https://openalex.org/W2136429810","https://openalex.org/W2136922672","https://openalex.org/W2142532936","https://openalex.org/W2145953267","https://openalex.org/W2148986322","https://openalex.org/W2153815969","https://openalex.org/W2154026545","https://openalex.org/W2159996091","https://openalex.org/W2295762426","https://openalex.org/W2964071831","https://openalex.org/W2964111014","https://openalex.org/W4241385190","https://openalex.org/W6607232846","https://openalex.org/W6607775107","https://openalex.org/W6630575796","https://openalex.org/W6637710402","https://openalex.org/W6662342920","https://openalex.org/W6675321185","https://openalex.org/W6697355593"],"related_works":["https://openalex.org/W1413489299","https://openalex.org/W4289655361","https://openalex.org/W2148508315","https://openalex.org/W2343931896","https://openalex.org/W2000669813","https://openalex.org/W2059965583","https://openalex.org/W2767580541","https://openalex.org/W2164061852","https://openalex.org/W1981833143","https://openalex.org/W2119076689"],"abstract_inverted_index":{"Rate":[0],"distortion":[1,73,117],"is":[2,74],"the":[3,12,16,29,36,66,78,91,96,107,113],"theoretical":[4],"foundation":[5],"of":[6,14,19,77],"lossy":[7],"source":[8,30],"compression.":[9],"It":[10],"addresses":[11],"problem":[13],"determining":[15],"minimal":[17],"number":[18],"bits":[20],"per":[21],"symbol":[22],"that":[23,28,49,71],"should":[24],"be":[25,32,87],"communicated":[26],"so":[27],"can":[31,58,86],"approximately":[33],"reconstructed":[34],"at":[35],"receiver":[37],"without":[38],"exceeding":[39],"a":[40,75,102],"given":[41],"distortion.":[42],"Restricted":[43],"Boltzmann":[44],"Machines":[45],"(RBMs)are":[46],"computational":[47],"models":[48],"have":[50],"recently":[51],"been":[52],"attracting":[53],"much":[54],"interest":[55],"because":[56],"they":[57],"represent":[59],"any":[60],"binary":[61],"sequence":[62],"distribution.The":[63],"connections":[64],"between":[65],"above":[67],"two":[68],"subjects":[69],"are":[70],"rate":[72,116],"function":[76],"RBM":[79,85],"log":[80],"partition":[81],"function,":[82],"and":[83,110],"an":[84],"used":[88],"to":[89,105,111],"learn":[90,106],"optimal":[92,108],"posterior":[93,109],"as":[94],"in":[95],"Blahut-Arimoto":[97],"algorithm.":[98],"The":[99],"connection":[100],"suggests":[101],"new":[103],"tool":[104],"calculate":[112],"N-th":[114],"order":[115],"function.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
