{"id":"https://openalex.org/W7140687167","doi":"https://doi.org/10.1109/ieeeconf67917.2025.11443726","title":"Neural Compress-and-Forward for the Primitive Diamond Relay Channel","display_name":"Neural Compress-and-Forward for the Primitive Diamond Relay Channel","publication_year":2025,"publication_date":"2025-10-26","ids":{"openalex":"https://openalex.org/W7140687167","doi":"https://doi.org/10.1109/ieeeconf67917.2025.11443726"},"language":null,"primary_location":{"id":"doi:10.1109/ieeeconf67917.2025.11443726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf67917.2025.11443726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 59th Asilomar Conference on Signals, Systems, and Computers","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/A5091439100","display_name":"Ozan Ayg\u00fcn","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ozan Ayg\u00fcn","raw_affiliation_strings":["New York University,Department of Electrical and Computer Engineering,Brooklyn,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Department of Electrical and Computer Engineering,Brooklyn,NY","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130700681","display_name":"Ezgi \u00d6zyilkan","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ezgi \u00d6zyilkan","raw_affiliation_strings":["New York University,Department of Electrical and Computer Engineering,Brooklyn,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Department of Electrical and Computer Engineering,Brooklyn,NY","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084526367","display_name":"Elza Erkip","orcid":"https://orcid.org/0000-0001-8718-8648"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elza Erkip","raw_affiliation_strings":["New York University,Department of Electrical and Computer Engineering,Brooklyn,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Department of Electrical and Computer Engineering,Brooklyn,NY","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55435427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"754","last_page":"758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.2639999985694885,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.2639999985694885,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11513","display_name":"stochastic dynamics and bifurcation","score":0.24690000712871552,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.04729999974370003,"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/channel","display_name":"Channel (broadcasting)","score":0.5375000238418579},{"id":"https://openalex.org/keywords/relay","display_name":"Relay","score":0.48350000381469727},{"id":"https://openalex.org/keywords/diamond","display_name":"Diamond","score":0.40119999647140503},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3043999969959259},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.2985999882221222}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5375000238418579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48730000853538513},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.48350000381469727},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.42800000309944153},{"id":"https://openalex.org/C2776921476","wikidata":"https://www.wikidata.org/wiki/Q5283","display_name":"Diamond","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3749000132083893},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.33480000495910645},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.32330000400543213},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3043999969959259},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.2732999920845032},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2551000118255615},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf67917.2025.11443726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf67917.2025.11443726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 59th Asilomar Conference on Signals, Systems, and Computers","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1978842364","https://openalex.org/W2099828508","https://openalex.org/W2166266048","https://openalex.org/W2167447263","https://openalex.org/W2561402529","https://openalex.org/W2952853400","https://openalex.org/W2999226541","https://openalex.org/W3006088953","https://openalex.org/W4386075127","https://openalex.org/W4395069557","https://openalex.org/W4402629754","https://openalex.org/W4403183149","https://openalex.org/W4409310628"],"related_works":[],"abstract_inverted_index":{"The":[0],"diamond":[1],"relay":[2,32,133],"channel,":[3],"where":[4,30,67],"a":[5,9,34,43,120,139],"source":[6,39,73,149],"communicates":[7],"with":[8,129,160],"destination":[10,145],"via":[11],"two":[12],"parallel":[13],"relays,":[14],"is":[15,57,91],"one":[16],"of":[17,37],"the":[18,27,38,53,72,88,109,144,148,155,166],"canonical":[19],"models":[20],"for":[21],"cooperative":[22],"communications.":[23],"We":[24,103],"focus":[25],"on":[26],"primitive":[28],"variant,":[29],"each":[31],"observes":[33],"noisy":[35],"version":[36],"signal":[40],"and":[41,143,185],"forwards":[42],"compressed":[44],"description":[45],"over":[46],"an":[47],"orthogonal,":[48],"noiseless,":[49],"finite-rate":[50],"link":[51],"to":[52,71,87,165,178],"destination.":[54],"Compress-and-forward":[55],"(CF)":[56],"particularly":[58],"effective":[59,124],"in":[60,82,119,127],"this":[61],"setting,":[62],"especially":[63],"under":[64],"oblivious":[65],"relaying":[66],"relays":[68,110],"lack":[69],"access":[70],"codebook.":[74],"While":[75],"neural":[76,174],"CF":[77,175],"methods":[78],"have":[79],"been":[80],"studied":[81],"single-relay":[83],"channels,":[84],"extending":[85],"them":[86],"two-relay":[89],"case":[90],"non-trivial,":[92],"as":[93],"it":[94],"requires":[95],"fully":[96],"distributed":[97,125],"compression":[98,126],"without":[99],"any":[100],"inter-relay":[101],"coordination.":[102],"demonstrate":[104,172],"that":[105,154,173],"learning-based":[106],"quantizers":[107],"at":[108],"can":[111,176],"harness":[112],"input":[113],"correlations":[114],"by":[115],"operating":[116],"remote,":[117],"yet":[118],"collaborative":[121],"fashion,":[122],"enabling":[123],"line":[128],"Berger-Tung-style":[130],"coding.":[131],"Each":[132],"separately":[134],"compresses":[135],"its":[136],"observation":[137],"using":[138],"one-shot":[140],"learned":[141],"quantizer,":[142],"jointly":[146],"decodes":[147],"message.":[150],"Simulation":[151],"results":[152,171],"show":[153],"proposed":[156],"scheme,":[157],"trained":[158],"end-to-end":[159],"finite-order":[161],"modulation,":[162],"operates":[163],"close":[164],"known":[167],"theoretical":[168],"bounds.":[169],"These":[170],"scale":[177],"multi-relay":[179],"systems":[180],"while":[181],"maintaining":[182],"both":[183],"performance":[184],"interpretability.":[186]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-03-27T00:00:00"}
