{"id":"https://openalex.org/W7129685554","doi":"https://doi.org/10.48550/arxiv.2602.14626","title":"Concepts' Information Bottleneck Models","display_name":"Concepts' Information Bottleneck Models","publication_year":2026,"publication_date":"2026-02-16","ids":{"openalex":"https://openalex.org/W7129685554","doi":"https://doi.org/10.48550/arxiv.2602.14626"},"language":"en","primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.14626","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5097335764","display_name":"Karim Galliamov","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Galliamov, Karim","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126220789","display_name":"Syed M Ahsan Kazmi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazmi, Syed M Ahsan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126181558","display_name":"Adil Khan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khan, Adil","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5041630241","display_name":"Ad\u0131\u0144 Ram\u0131\u0155ez Rivera","orcid":"https://orcid.org/0000-0002-4321-9075"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rivera, Ad\u00edn Ram\u00edrez","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5097335764"],"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":0.7283999919891357,"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":0.7283999919891357,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.062199998646974564,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.047600001096725464,"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/bottleneck","display_name":"Bottleneck","score":0.8790000081062317},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.6672000288963318},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5432000160217285},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4887000024318695},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.2800000011920929},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.2732999920845032}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8790000081062317},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.6672000288963318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506999731063843},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5432000160217285},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4887000024318695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45579999685287476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4311999976634979},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3619999885559082},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C201729545","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability theory","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.250900000333786},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.14626","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:hull-repository.worktribe.com:5566086","is_oa":true,"landing_page_url":"https://hull-repository.worktribe.com/output/5566086","pdf_url":null,"source":{"id":"https://openalex.org/S4306400827","display_name":"Repository@Hull (Worktribe) (University of Hull)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I191240316","host_organization_name":"University of Hull","host_organization_lineage":["https://openalex.org/I191240316"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},{"id":"doi:10.48550/arxiv.2602.14626","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.14626","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.14626","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.5107395052909851,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Concept":[0],"Bottleneck":[1,34],"Models":[2],"(CBMs)":[3],"aim":[4],"to":[5,128],"deliver":[6],"interpretable":[7],"predictions":[8],"by":[9,138],"routing":[10],"decisions":[11],"through":[12],"a":[13,106,124],"human-understandable":[14],"concept":[15,24,38,51,108],"layer,":[16],"yet":[17],"they":[18],"often":[19],"suffer":[20],"reduced":[21],"accuracy":[22],"and":[23,61,65,83,114,131,142,149],"leakage":[25],"that":[26,40,104],"undermines":[27],"faithfulness.":[28],"We":[29,53],"introduce":[30],"an":[31,62],"explicit":[32],"Information":[33],"regularizer":[35,122],"on":[36],"the":[37,86,98,115],"layer":[39],"penalizes":[41],"$I(X;C)$":[42],"while":[43],"preserving":[44],"task-relevant":[45],"information":[46],"in":[47],"$I(C;Y)$,":[48],"encouraging":[49],"minimal-sufficient":[50,107],"representations.":[52],"derive":[54],"two":[55],"practical":[56],"variants":[57],"(a":[58],"variational":[59],"objective":[60],"entropy-based":[63],"surrogate)":[64],"integrate":[66],"them":[67],"into":[68],"standard":[69],"CBM":[70,81],"training":[71,140],"without":[72],"architectural":[73],"changes":[74],"or":[75],"additional":[76],"supervision.":[77],"Evaluated":[78],"across":[79,146],"six":[80],"families":[82,148],"three":[84],"benchmarks,":[85],"IB-regularized":[87],"models":[88],"consistently":[89],"outperform":[90],"their":[91],"vanilla":[92],"counterparts.":[93],"Information-plane":[94],"analyses":[95],"further":[96],"corroborate":[97],"intended":[99],"behavior.":[100],"These":[101],"results":[102],"indicate":[103],"enforcing":[105],"bottleneck":[109],"improves":[110],"both":[111],"predictive":[112],"performance":[113],"reliability":[116],"of":[117],"concept-level":[118],"interventions.":[119],"The":[120],"proposed":[121],"offers":[123],"theoretic-grounded,":[125],"architecture-agnostic":[126],"path":[127],"more":[129],"faithful":[130],"intervenable":[132],"CBMs,":[133],"resolving":[134],"prior":[135],"evaluation":[136],"inconsistencies":[137],"aligning":[139],"protocols":[141],"demonstrating":[143],"robust":[144],"gains":[145],"model":[147],"datasets.":[150]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-18T00:00:00"}
