{"id":"https://openalex.org/W7160905665","doi":"https://doi.org/10.48550/arxiv.2605.08870","title":"TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection","display_name":"TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection","publication_year":2026,"publication_date":"2026-05-09","ids":{"openalex":"https://openalex.org/W7160905665","doi":"https://doi.org/10.48550/arxiv.2605.08870"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.08870","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08870","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.2605.08870","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125249861","display_name":"Farid Hazratian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hazratian, Farid","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135990327","display_name":"Ali Zia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zia, Ali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135989967","display_name":"Hien Duy Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Hien Duy","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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.26510000228881836,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.26510000228881836,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.2410999983549118,"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":0.19040000438690186,"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/robustness","display_name":"Robustness (evolution)","score":0.6966000199317932},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4982999861240387},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4555000066757202},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.421999990940094},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.35420000553131104},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.33959999680519104}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6966000199317932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6527000069618225},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4982999861240387},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4555000066757202},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43700000643730164},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.421999990940094},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3504999876022339},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.33959999680519104},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3239000141620636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2838999927043915},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2603999972343445}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.08870","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08870","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.2605.08870","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08870","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7969297766685486}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Out-of-distribution":[0],"(OOD)":[1],"robustness":[2],"is":[3],"difficult":[4],"to":[5],"diagnose":[6],"when":[7],"target-domain":[8,130],"labels":[9],"are":[10],"unavailable.":[11],"We":[12,37],"consider":[13],"a":[14,40,50,67,102,107],"more":[15],"restrictive":[16],"source-only":[17,41],"variant":[18],"of":[19,94,154],"unsupervised":[20],"accuracy":[21],"estimation:":[22],"selecting":[23],"robust":[24],"checkpoints":[25],"using":[26],"only":[27],"source-domain":[28],"representations,":[29],"with":[30],"no":[31,129],"target":[32,35],"samples":[33,131],"or":[34,132],"labels.":[36,133],"propose":[38],"\\textbf{TopoGeoScore},":[39],"geometric":[42],"scorer":[43],"for":[44,72,78,86],"label-free":[45],"OOD":[46],"checkpoint":[47,158],"selection.":[48],"Given":[49],"trained":[51],"checkpoint,":[52],"we":[53],"construct":[54],"class-conditional":[55],"mutual":[56],"$k$-nearest-neighbour":[57],"graphs":[58],"from":[59,120],"source":[60,148],"embeddings":[61],"and":[62,82,90,118,127,138,144],"extract":[63],"three":[64],"interpretable":[65,126],"signals:":[66],"torsion-inspired":[68],"reduced":[69],"Laplacian":[70],"log-determinant":[71],"global":[73],"class-manifold":[74],"complexity,":[75],"Ollivier--Ricci":[76],"curvature":[77],"local":[79],"neighbourhood":[80],"regularity,":[81],"higher-order":[83],"topological":[84],"summaries":[85],"fragmented":[87],"connectivity,":[88],"loops,":[89],"global--local":[91],"inconsistency.":[92],"Instead":[93],"fixing":[95],"their":[96],"weights":[97],"by":[98],"hand,":[99],"TopoGeoScore":[100],"learns":[101],"non-negative":[103],"linear":[104],"score":[105,124],"through":[106],"self-supervised":[108],"objective":[109],"that":[110,147],"enforces":[111],"invariance":[112],"under":[113,162],"approximately":[114],"geometry-preserving":[115],"embedding":[116],"views":[117],"separation":[119],"structure-breaking":[121],"views.":[122],"The":[123],"remains":[125],"uses":[128],"Results":[134],"across":[135],"CIFAR-based":[136],"corruption":[137],"distribution-shift":[139],"benchmarks,":[140],"ImageNet-C,":[141],"MNLI$\\to$HANS":[142],"transfer,":[143],"OGBN-Arxiv":[145],"suggest":[146],"representations":[149],"contain":[150],"measurable":[151],"global--local--topological":[152],"evidence":[153],"robustness,":[155],"supporting":[156],"practical":[157],"selection":[159],"before":[160],"deployment":[161],"distribution":[163],"shift.":[164]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-13T00:00:00"}