{"id":"https://openalex.org/W7136403244","doi":"https://doi.org/10.14279/depositonce-25485","title":"From local explanations to comprehensive mechanistic understanding of deep vision models","display_name":"From local explanations to comprehensive mechanistic understanding of deep vision models","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7136403244","doi":"https://doi.org/10.14279/depositonce-25485"},"language":"en","primary_location":{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-035978215","doi":null,"is_oa":false,"landing_page_url":"https://doi.org/10.14279/depositonce-25485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Hochschulschrift"},"volume":null,"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://depositonce.tu-berlin.de/handle/11303/26655","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085326398","display_name":"Maximilian Dreyer","orcid":"https://orcid.org/0009-0007-9069-6265","observed_orcids":["https://orcid.org/0009-0007-9069-6265"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dreyer, Maximilian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5085326398"],"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":1.0,"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":1.0,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.0,"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/explainable-ai","display_name":"explainable AI","score":0.7279999852180481},{"id":"https://openalex.org/keywords/vision-models","display_name":"vision models","score":0.8040000200271606},{"id":"https://openalex.org/keywords/feature-visualization","display_name":"feature visualization","score":0.949999988079071},{"id":"https://openalex.org/keywords/polysemanticity","display_name":"polysemanticity","score":0.9879999756813049},{"id":"https://openalex.org/keywords/outlier-detection","display_name":"outlier detection","score":0.7110000252723694}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9437000155448914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713100016117096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6672000288963318},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5321999788284302},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5162000060081482},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4986000061035156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46470001339912415},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44510000944137573},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4153999984264374},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.37619999051094055},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.35920000076293945},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C194541083","wikidata":"https://www.wikidata.org/wiki/Q457174","display_name":"Workaround","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C2777548347","wikidata":"https://www.wikidata.org/wiki/Q5456937","display_name":"Flagging","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-035978215","doi":null,"is_oa":false,"landing_page_url":"https://doi.org/10.14279/depositonce-25485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Hochschulschrift"},{"id":"pmh:oai:depositonce.tu-berlin.de:11303/26655","doi":null,"is_oa":true,"landing_page_url":"https://depositonce.tu-berlin.de/handle/11303/26655","pdf_url":null,"source":{"id":"https://openalex.org/S4406922277","display_name":"DepositOnce","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Doctoral Thesis"},{"id":"doi:10.14279/depositonce-25485","doi":"https://doi.org/10.14279/depositonce-25485","is_oa":true,"landing_page_url":"https://doi.org/10.14279/depositonce-25485","pdf_url":null,"source":{"id":"https://openalex.org/S7407052985","display_name":"Technische Universit\u00e4t Berlin \u2013 Universit\u00e4tsbibliothek","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4577782","host_organization_name":"Technische Universit\u00e4t Berlin","host_organization_lineage":["https://openalex.org/I4577782"],"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-journal"}],"best_oa_location":{"id":"pmh:oai:depositonce.tu-berlin.de:11303/26655","doi":null,"is_oa":true,"landing_page_url":"https://depositonce.tu-berlin.de/handle/11303/26655","pdf_url":null,"source":{"id":"https://openalex.org/S4406922277","display_name":"DepositOnce","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Doctoral Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4320490437","https://openalex.org/W7220430588","https://openalex.org/W7204189363","https://openalex.org/W7037970888","https://openalex.org/W7170143890","https://openalex.org/W7172247662","https://openalex.org/W7172480589","https://openalex.org/W6912652073","https://openalex.org/W7133192432","https://openalex.org/W7167793667"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"models":[2,29,37,59,126,160,331],"have":[3,32],"evolved":[4],"into":[5],"a":[6,112,239,260,283,358],"cornerstone":[7],"of":[8,41,48,57,89,107,120,130,146,158,217,255,286,302,354],"modern":[9],"industry":[10],"and":[11,18,30,55,64,83,100,118,138,156,161,188,193,199,201,211,234,244,263,300,313,329,352,364],"science,":[12],"enabling":[13],"applications":[14],"from":[15],"medical":[16],"diagnosis":[17],"perception":[19],"to":[20,103,151,251,265,317],"conversational":[21],"systems.":[22,86,367],"Over":[23],"the":[24,73,79,121,128,154,349],"past":[25],"two":[26],"decades,":[27],"both":[28],"datasets":[31,45,281],"grown":[33],"substantially":[34],"in":[35,67],"scale:":[36],"now":[38],"reach":[39],"trillions":[40],"parameters,":[42],"trained":[43],"on":[44,143,333,338],"with":[46,153],"billions":[47],"samples.":[49],"Despite":[50],"their":[51],"success,":[52],"our":[53],"understanding":[54,114],"control":[56,119],"these":[58],"remain":[60],"limited,":[61],"hindering":[62],"safe":[63],"robust":[65,363],"deployment":[66],"critical":[68],"domains.":[69],"Regulations":[70],"such":[71,268,309],"as":[72,139,269,310],"EU":[74],"AI":[75,85,125,366],"Act":[76],"further":[77,257],"emphasize":[78],"need":[80],"for":[81,209,224],"transparent":[82],"accountable":[84],"The":[87],"field":[88],"eXplainable":[90],"Artificial":[91],"Intelligence":[92],"(XAI)":[93],"has":[94],"introduced":[95],"techniques":[96,326],"like":[97],"attribution":[98],"maps":[99],"feature":[101,235],"visualizations":[102],"illuminate":[104],"singular":[105],"aspects":[106],"model":[108,194,213,277,303,355],"behavior.":[109,214],"Yet,":[110],"achieving":[111],"comprehensive":[113,225],"that":[115,169,228,275,293,327,345],"enables":[116],"validation":[117],"complex":[122],"mechanisms":[123],"inside":[124],"requires":[127],"combination":[129],"multiple":[131,181,249],"XAI":[132],"perspectives.":[133],"This":[134,163],"is":[135,170],"already":[136],"challenging,":[137],"most":[140],"approaches":[141],"rely":[142],"manual":[144],"inspection":[145],"individual":[147],"explanations,":[148],"they":[149],"fail":[150],"scale":[152],"size":[155],"complexity":[157],"today\u2019s":[159],"datasets.":[162],"dissertation":[164],"develops":[165],"an":[166],"explainability":[167],"framework":[168],"(i)":[171],"mechanistic,":[172],"by":[173,179,186,204,247],"providing":[174,357],"component-level":[175,230],"insights":[176],"(ii)":[177],"comprehensive,":[178],"integrating":[180],"interpretability":[182,246,254],"perspectives,":[183],"(iii)":[184],"scalable,":[185],"aggregating":[187],"summarizing":[189],"explanations":[190,227,347],"across":[191,279],"data":[192],"components":[195],"while":[196],"flagging":[197],"outliers":[198],"deviations,":[200],"(iv)":[202],"actionable,":[203],"directly":[205],"informing":[206],"practical":[207],"strategies":[208],"refining":[210],"improving":[212,245],"Key":[215],"contributions":[216],"this":[218,342],"thesis":[219],"include:":[220],"(1)":[221],"A":[222],"foundation":[223],"mechanistic":[226,334,346],"integrate":[229],"attributions,":[231],"input":[232],"localizations,":[233],"visualizations,":[236],"validated":[237,258],"via":[238],"user":[240,261],"study.":[241],"(2)":[242],"Measuring":[243],"introducing":[248],"measures":[250],"estimate":[252],"human":[253],"components,":[256],"through":[259],"study,":[262],"methods":[264,308],"mitigate":[266],"issues":[267],"polysemanticity.":[270],"(3)":[271],"Prototypical":[272],"Concept-based":[273],"Explanations":[274],"summarize":[276],"behavior":[278],"entire":[280],"using":[282],"small":[284],"set":[285],"concept-level":[287],"prototypes.":[288],"(4)":[289],"Semantic":[290],"component":[291],"mbeddings":[292],"enable":[294,348],"text-based":[295],"semantic":[296],"search,":[297],"labeling,":[298],"clustering,":[299],"comparison":[301],"components.":[304],"(5)":[305],"Automated":[306],"auditing":[307],"outlier":[311],"detection":[312],"concept":[314],"alignment":[315],"analysis":[316],"flag":[318],"spurious":[319],"or":[320],"unexpected":[321],"behaviors.":[322],"(6)":[323],"Interpretability-informed":[324],"correction":[325,353],"refine":[328],"correct":[330],"based":[332],"insights.":[335],"Through":[336],"experiments":[337],"state-of-the-art":[339],"vision":[340],"models,":[341],"work":[343],"demonstrates":[344],"identification,":[350],"understanding,":[351],"failures,":[356],"path":[359],"toward":[360],"more":[361],"transparent,":[362],"controllable":[365]},"counts_by_year":[],"updated_date":"2026-09-24T07:57:37.273135","created_date":"2026-03-17T00:00:00"}