{"id":"https://openalex.org/W4415334790","doi":"https://doi.org/10.48550/arxiv.2509.23825","title":"Electric Currents for Discrete Data Generation","display_name":"Electric Currents for Discrete Data Generation","publication_year":2025,"publication_date":"2025-09-28","ids":{"openalex":"https://openalex.org/W4415334790","doi":"https://doi.org/10.48550/arxiv.2509.23825"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2509.23825","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.23825","pdf_url":"https://arxiv.org/pdf/2509.23825","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.23825","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112521740","display_name":"A. K. Kolesov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kolesov, Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120057455","display_name":"Stepan Manukhov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manukhov, Stepan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Palyulin, Vladimir V.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Palyulin, Vladimir V.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056141660","display_name":"Alexander Korotin","orcid":"https://orcid.org/0000-0003-4286-925X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Korotin, Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9376000165939331,"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":0.9376000165939331,"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/current-source","display_name":"Current source","score":0.5393000245094299},{"id":"https://openalex.org/keywords/electrical-network","display_name":"Electrical network","score":0.5241000056266785},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.5034999847412109},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.44760000705718994},{"id":"https://openalex.org/keywords/electric-network","display_name":"Electric network","score":0.44279998540878296},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.41620001196861267},{"id":"https://openalex.org/keywords/electric-current","display_name":"Electric current","score":0.4142000079154968},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.413100004196167},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3865000009536743}],"concepts":[{"id":"https://openalex.org/C2781331714","wikidata":"https://www.wikidata.org/wiki/Q1163768","display_name":"Current source","level":3,"score":0.5393000245094299},{"id":"https://openalex.org/C196796808","wikidata":"https://www.wikidata.org/wiki/Q132629","display_name":"Electrical network","level":2,"score":0.5241000056266785},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49470001459121704},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.44760000705718994},{"id":"https://openalex.org/C2983407661","wikidata":"https://www.wikidata.org/wiki/Q132629","display_name":"Electric network","level":3,"score":0.44279998540878296},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.41620001196861267},{"id":"https://openalex.org/C116468062","wikidata":"https://www.wikidata.org/wiki/Q11651","display_name":"Electric current","level":2,"score":0.4142000079154968},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3865000009536743},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3831000030040741},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3504999876022339},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3172000050544739},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C197096303","wikidata":"https://www.wikidata.org/wiki/Q869887","display_name":"Probability mass function","level":3,"score":0.2978000044822693},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2971000075340271},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27880001068115234}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2509.23825","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.23825","pdf_url":"https://arxiv.org/pdf/2509.23825","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.23825","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.23825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.23825","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.23825","pdf_url":"https://arxiv.org/pdf/2509.23825","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,45,122],"propose":[1],"$\\textbf{E}$lectric":[2],"$\\textbf{C}$urrent":[3],"$\\textbf{D}$iscrete":[4],"$\\textbf{D}$ata":[5],"$\\textbf{G}$eneration":[6],"(ECD$^{2}$G),":[7],"a":[8,34,57],"pioneering":[9],"method":[10],"for":[11],"data":[12,43,120],"generation":[13],"in":[14,20,33,85],"discrete":[15],"settings":[16],"that":[17],"is":[18,72],"grounded":[19],"electrical":[21],"engineering":[22],"theory.":[23],"Our":[24],"approach":[25],"draws":[26],"an":[27],"analogy":[28],"between":[29,42,119],"electric":[30,78],"current":[31,53,66],"flow":[32,84],"circuit":[35,58,107],"and":[36,59,101],"the":[37,49,62,77,82,86,90,94,99,106,111],"transfer":[38,118],"of":[39,56],"probability":[40,83],"mass":[41],"distributions.":[44,121],"interpret":[46],"samples":[47,60,104],"from":[48,61,98],"source":[50,91,100],"distribution":[51,64,92],"as":[52,65],"input":[54],"nodes":[55],"target":[63],"output":[67],"nodes.":[68],"A":[69],"neural":[70],"network":[71],"then":[73],"used":[74],"to":[75,80,93,110,126],"learn":[76],"currents":[79],"represent":[81],"circuit.":[87],"To":[88],"map":[89],"target,":[95],"we":[96],"sample":[97],"transport":[102],"these":[103],"along":[105],"pathways":[108],"according":[109],"learned":[112],"currents.":[113],"This":[114],"process":[115],"provably":[116],"guarantees":[117],"present":[123],"proof-of-concept":[124],"experiments":[125],"illustrate":[127],"our":[128],"ECD$^{2}$G":[129],"method.":[130]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-19T00:00:00"}
