{"id":"https://openalex.org/W6967014589","doi":"https://doi.org/10.48550/arxiv.2507.09092","title":"Analysis of Information Theory for Explainable AI","display_name":"Analysis of Information Theory for Explainable AI","publication_year":2025,"publication_date":"2025-07-12","ids":{"openalex":"https://openalex.org/W6967014589","doi":"https://doi.org/10.48550/arxiv.2507.09092"},"language":"en","primary_location":{"id":"doi:10.48550/arxiv.2507.09092","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.09092","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":null,"license_id":null,"version":null,"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":"https://doi.org/10.48550/arxiv.2507.09092","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Iyer, Ram S","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Iyer, Ram S","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"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":true,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9882000088691711,"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":0.9882000088691711,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0017999999690800905,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.001500000013038516,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6901000142097473},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6168000102043152},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.5864999890327454},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.545199990272522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5113000273704529},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4415000081062317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019000053405762},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6901000142097473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6805999875068665},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6168000102043152},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.5864999890327454},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.545199990272522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5113000273704529},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4415000081062317},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3804999887943268},{"id":"https://openalex.org/C195818886","wikidata":"https://www.wikidata.org/wiki/Q5421724","display_name":"Expressive power","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2507.09092","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.09092","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2507.09092","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.09092","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"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":{"With":[0],"the":[1,24,32,35,79,83,107,116,123],"intervention":[2],"of":[3,27,92,109,146],"machine":[4],"vision":[5],"in":[6,144],"our":[7],"crucial":[8],"day":[9,11],"to":[10,23,100,114],"necessities":[12],"including":[13],"healthcare":[14],"and":[15,31,82,94,119,148],"automated":[16],"power":[17],"plants,":[18],"attention":[19],"has":[20],"been":[21],"drawn":[22],"internal":[25],"mechanisms":[26],"convolutional":[28],"neural":[29],"networks,":[30],"reason":[33],"why":[34],"network":[36],"provides":[37],"specific":[38],"inferences.":[39],"This":[40],"paper":[41],"proposes":[42],"a":[43,89],"novel":[44],"post-hoc":[45],"visual":[46,117],"explanation":[47],"method":[48],"called":[49],"MI":[50,64,129],"CAM":[51,65],"based":[52,62],"on":[53],"activation":[54,60,95],"mapping.":[55],"Differing":[56],"from":[57],"previous":[58],"class":[59],"mapping":[61],"approaches,":[63],"produces":[66],"saliency":[67],"visualizations":[68],"by":[69,88,128],"weighing":[70],"each":[71],"feature":[72],"map":[73],"through":[74],"its":[75],"mutual":[76],"information":[77],"with":[78,106,136],"input":[80],"image":[81],"final":[84],"result":[85],"is":[86],"generated":[87],"linear":[90],"combination":[91],"weights":[93],"maps.":[96],"It":[97],"also":[98],"adheres":[99],"producing":[101],"causal":[102],"interpretations":[103],"as":[104],"validated":[105],"help":[108],"counterfactual":[110],"analysis.":[111],"We":[112],"aim":[113],"exhibit":[115],"performance":[118],"unbiased":[120],"justifications":[121],"for":[122],"model":[124],"inferencing":[125],"procedure":[126],"achieved":[127],"CAM.":[130],"Our":[131],"approach":[132],"works":[133],"at":[134],"par":[135],"all":[137],"state-of-the-art":[138],"methods":[139],"but":[140],"particularly":[141],"outperforms":[142],"some":[143],"terms":[145],"qualitative":[147],"quantitative":[149],"measures.":[150]},"counts_by_year":[],"updated_date":"2026-06-10T06:17:36.459440","created_date":"2025-10-10T00:00:00"}
