{"id":"https://openalex.org/W4415368391","doi":"https://doi.org/10.1109/isit63088.2025.11195227","title":"Computation of Capacity-Distortion-Cost Functions for Continuous Memoryless Channels","display_name":"Computation of Capacity-Distortion-Cost Functions for Continuous Memoryless Channels","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4415368391","doi":"https://doi.org/10.1109/isit63088.2025.11195227"},"language":null,"primary_location":{"id":"doi:10.1109/isit63088.2025.11195227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5100373657","display_name":"Xinyang Li","orcid":"https://orcid.org/0000-0002-9722-1234"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Xinyang Li","raw_affiliation_strings":["Technical University of Munich,Chair of Theoretical Information Technology, BMBF Research Hub 6G-life,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Chair of Theoretical Information Technology, BMBF Research Hub 6G-life,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086171177","display_name":"Ziyou Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziyou Tang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041755721","display_name":"Vlad C. Andrei","orcid":"https://orcid.org/0000-0001-5443-0100"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vlad C. Andrei","raw_affiliation_strings":["Technical University of Munich,Chair of Theoretical Information Technology, BMBF Research Hub 6G-life,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Chair of Theoretical Information Technology, BMBF Research Hub 6G-life,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019862720","display_name":"Ullrich J. M\u00f6nich","orcid":"https://orcid.org/0000-0002-2390-7524"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ullrich J. M\u00f6nich","raw_affiliation_strings":["Technical University of Munich,Chair of Theoretical Information Technology, BMBF Research Hub 6G-life,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Chair of Theoretical Information Technology, BMBF Research Hub 6G-life,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371052","display_name":"Fan Liu","orcid":"https://orcid.org/0000-0003-0803-2034"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Liu","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000732219","display_name":"Holger Boche","orcid":"https://orcid.org/0000-0002-8375-8946"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Holger Boche","raw_affiliation_strings":["Technical University of Munich,Chair of Theoretical Information Technology, BMBF Research Hub 6G-life,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Chair of Theoretical Information Technology, BMBF Research Hub 6G-life,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100373657"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16454164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9758999943733215,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9758999943733215,"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"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9599999785423279,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9444000124931335,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/infimum-and-supremum","display_name":"Infimum and supremum","score":0.5224000215530396},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.508899986743927},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.505299985408783},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4936000108718872},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4846000075340271},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.42590001225471497},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.41499999165534973},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4147999882698059},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.412200003862381},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.40720000863075256}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6190999746322632},{"id":"https://openalex.org/C95611797","wikidata":"https://www.wikidata.org/wiki/Q17502105","display_name":"Infimum and supremum","level":2,"score":0.5224000215530396},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5188000202178955},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.508899986743927},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.505299985408783},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4936000108718872},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4846000075340271},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.42590001225471497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41519999504089355},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.41499999165534973},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4147999882698059},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.40720000863075256},{"id":"https://openalex.org/C2780803321","wikidata":"https://www.wikidata.org/wiki/Q5283073","display_name":"Distortion function","level":3,"score":0.3970000147819519},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.34439998865127563},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3172999918460846},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.27230000495910645},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C99636146","wikidata":"https://www.wikidata.org/wiki/Q35889","display_name":"Parametric equation","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C118733216","wikidata":"https://www.wikidata.org/wiki/Q332504","display_name":"Absolute continuity","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.2540999948978424},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit63088.2025.11195227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","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":19,"referenced_works":["https://openalex.org/W108696806","https://openalex.org/W2029236670","https://openalex.org/W2047782453","https://openalex.org/W2109607805","https://openalex.org/W2132883347","https://openalex.org/W2135129768","https://openalex.org/W2148986322","https://openalex.org/W2519388618","https://openalex.org/W2532607215","https://openalex.org/W3155535021","https://openalex.org/W3191750312","https://openalex.org/W3194620979","https://openalex.org/W4205855417","https://openalex.org/W4233762729","https://openalex.org/W4238682518","https://openalex.org/W4255839052","https://openalex.org/W4292363360","https://openalex.org/W4414110783","https://openalex.org/W4414539302"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"at":[3,139],"computing":[4],"the":[5,17,20,42,48,60,74,89,101,113,147],"capacity-distortion-cost":[6],"(CDC)":[7],"function":[8,63,94],"for":[9],"continuous":[10],"memoryless":[11],"channels,":[12],"which":[13],"is":[14,45,106,117,125],"defined":[15],"as":[16,83,144,146],"supremum":[18],"of":[19,37],"mutual":[21],"information":[22],"between":[23],"channel":[24,39],"input":[25,31,49,90],"and":[26,33,59,79,92,112,132,141],"output,":[27],"constrained":[28],"by":[29,119],"an":[30,34,129],"cost":[32],"expected":[35],"distortion":[36,143],"estimating":[38],"state.":[40],"Solving":[41],"optimization":[43],"problem":[44],"challenging":[46],"because":[47],"distribution":[50,91],"does":[51],"not":[52],"lie":[53],"in":[54,68,99],"a":[55],"finite-dimensional":[56],"Euclidean":[57],"space":[58],"optimal":[61],"estimation":[62,93],"has":[64],"no":[65],"closed":[66],"form":[67],"general.":[69],"We":[70],"propose":[71],"to":[72,87,108,128],"adopt":[73],"Wasserstein":[75,114],"proximal":[76],"point":[77],"method":[78],"parametric":[80],"models":[81],"such":[82],"neural":[84],"networks":[85],"(NNs)":[86],"update":[88],"alternately.":[95],"To":[96],"implement":[97],"it":[98],"practice,":[100],"importance":[102],"sampling":[103],"(IS)":[104],"technique":[105],"used":[107],"calculate":[109],"integrals":[110],"numerically,":[111],"gradient":[115],"descent":[116],"approximated":[118],"pushing":[120],"forward":[121],"particles.":[122],"The":[123],"algorithm":[124],"then":[126],"applied":[127],"integrated":[130],"sensing":[131],"communications":[133],"(ISAC)":[134],"system,":[135],"validating":[136],"theoretical":[137],"results":[138],"minimum":[140],"maximum":[142],"well":[145],"randomdeterministic":[148],"trade-off.":[149]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-21T00:00:00"}