{"id":"https://openalex.org/W7160981092","doi":"https://doi.org/10.48550/arxiv.2605.11530","title":"Multi-Narrow Transformation as a Single-Model Ensemble: Boundary Conditions, Mechanisms, and Failure Modes","display_name":"Multi-Narrow Transformation as a Single-Model Ensemble: Boundary Conditions, Mechanisms, and Failure Modes","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7160981092","doi":"https://doi.org/10.48550/arxiv.2605.11530"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.11530","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11530","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.11530","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076418964","display_name":"Tatsuhito Hasegawa","orcid":"https://orcid.org/0000-0002-0768-1406"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hasegawa, Tatsuhito","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136050998","display_name":"Taisei Tanaka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tanaka, Taisei","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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.16689999401569366,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.16689999401569366,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.09740000218153,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.08250000327825546,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5692999958992004},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5317000150680542},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5307999849319458},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5045999884605408},{"id":"https://openalex.org/keywords/multiplicity","display_name":"Multiplicity (mathematics)","score":0.44530001282691956},{"id":"https://openalex.org/keywords/multiple-models","display_name":"Multiple Models","score":0.36809998750686646}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5692999958992004},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5317000150680542},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5307999849319458},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5045999884605408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44940000772476196},{"id":"https://openalex.org/C156004811","wikidata":"https://www.wikidata.org/wiki/Q2228257","display_name":"Multiplicity (mathematics)","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4172999858856201},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.41370001435279846},{"id":"https://openalex.org/C2779714256","wikidata":"https://www.wikidata.org/wiki/Q25305062","display_name":"Multiple Models","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3215000033378601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3037000000476837},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C2779791154","wikidata":"https://www.wikidata.org/wiki/Q258040","display_name":"Model transformation","level":3,"score":0.27090001106262207},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2678999900817871},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.265500009059906}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.11530","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11530","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.11530","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11530","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"Single-model":[0],"ensembles":[1,17],"(SMEs)":[2],"have":[3],"attracted":[4],"attention":[5],"as":[6],"a":[7,19,39,62,145,190,219],"way":[8],"to":[9,144],"approximate":[10],"some":[11],"of":[12,15,68,100,152,193],"the":[13,56,76,98,122],"benefits":[14],"deep":[16],"within":[18],"single":[20,40,146],"network.":[21],"However,":[22],"under":[23,218],"an":[24,66],"approximately":[25,74],"matched":[26],"parameter":[27,78],"budget,":[28],"it":[29,140],"remains":[30],"unclear":[31],"whether":[32],"model":[33,149,211],"capacity":[34,212],"should":[35],"be":[36],"concentrated":[37],"in":[38,112,124,179],"wide":[41],"pathway":[42],"or":[43,107,148],"redistributed":[44],"into":[45,65],"many":[46],"narrow":[47],"and":[48,84,92,135,162,175,185,199,205,215],"independent":[49,71],"members.":[50],"We":[51,80],"investigate":[52],"this":[53,170],"question":[54],"through":[55],"Multi-Narrow":[57,85,201],"(MN)":[58],"transformation,":[59],"which":[60],"converts":[61],"baseline":[63,123],"CNN":[64,133],"SME":[67],"narrow,":[69],"path-wise":[70,165],"branches":[72],"while":[73],"preserving":[75],"dominant":[77],"budget.":[79,221],"systematically":[81],"compare":[82],"Single-Wide":[83],"configurations":[86],"across":[87,131],"different":[88],"training-data":[89],"regimes,":[90,169,181],"architectures,":[91],"datasets.":[93],"The":[94],"results":[95],"show":[96],"that":[97,139,156],"effectiveness":[99],"MN":[101,118],"is":[102,129,141,172,187,203],"strongly":[103],"data-dependent:":[104],"weakly":[105],"partitioned":[106,117],"baseline-wide":[108],"models":[109,119,158],"are":[110],"preferable":[111],"data-rich":[113,180],"settings,":[114],"whereas":[115,178],"highly":[116],"consistently":[120],"outperform":[121],"low-data":[125,168],"settings.":[126],"This":[127],"tendency":[128],"reproduced":[130],"multiple":[132],"architectures":[134],"image-classification":[136],"datasets,":[137],"suggesting":[138],"not":[142],"specific":[143],"benchmark":[147],"family.":[150],"Analysis":[151],"internal":[153],"representations":[154],"shows":[155],"high-MN":[157],"learn":[159],"more":[160],"diverse":[161],"less":[163],"redundant":[164],"features.":[166],"In":[167],"diversity":[171],"broadly":[173],"utilized":[174],"improves":[176],"generalization,":[177],"training":[182],"becomes":[183],"imbalanced":[184],"prediction":[186],"dominated":[188],"by":[189],"small":[191],"subset":[192],"paths.":[194],"These":[195],"findings":[196],"clarify":[197],"when":[198],"why":[200],"transformation":[202],"effective,":[204],"provide":[206],"practical":[207],"guidance":[208],"for":[209],"allocating":[210],"between":[213],"width":[214],"member":[216],"multiplicity":[217],"limited":[220]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-14T00:00:00"}