{"id":"https://openalex.org/W4409479056","doi":"https://doi.org/10.14428/esann/2025.es2025-10","title":"Reconciling Grokking with Statistical Learning Theory","display_name":"Reconciling Grokking with Statistical Learning Theory","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409479056","doi":"https://doi.org/10.14428/esann/2025.es2025-10"},"language":"en","primary_location":{"id":"doi:10.14428/esann/2025.es2025-10","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-10","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-10","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.14428/esann/2025.es2025-10","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045802198","display_name":"Luca Oneto","orcid":"https://orcid.org/0000-0002-8445-395X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luca Oneto","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072692847","display_name":"Sandro Ridella","orcid":"https://orcid.org/0000-0003-0612-8219"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sandro Ridella","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008943031","display_name":"Andrea Coraddu","orcid":"https://orcid.org/0000-0001-8891-4963"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrea Coraddu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5036611143","display_name":"Davide Anguita","orcid":"https://orcid.org/0000-0001-7523-5291"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Davide Anguita","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9225,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83728358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"383","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11875","display_name":"Statistics Education and Methodologies","score":0.07240000367164612,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11875","display_name":"Statistics Education and Methodologies","score":0.07240000367164612,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.06729999929666519,"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/computer-science","display_name":"Computer science","score":0.6103584170341492},{"id":"https://openalex.org/keywords/statistical-learning","display_name":"Statistical learning","score":0.4326155185699463},{"id":"https://openalex.org/keywords/statistical-learning-theory","display_name":"Statistical learning theory","score":0.4181591868400574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41341423988342285},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08178141713142395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6103584170341492},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.4326155185699463},{"id":"https://openalex.org/C2779915298","wikidata":"https://www.wikidata.org/wiki/Q7604400","display_name":"Statistical learning theory","level":3,"score":0.4181591868400574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41341423988342285},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08178141713142395}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14428/esann/2025.es2025-10","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-10","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-10","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.14428/esann/2025.es2025-10","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-10","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-10","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6100000143051147,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409479056.pdf","grobid_xml":"https://content.openalex.org/works/W4409479056.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2131042369","https://openalex.org/W2393129636","https://openalex.org/W3108538799","https://openalex.org/W2375303405","https://openalex.org/W2349452475","https://openalex.org/W2352908703","https://openalex.org/W2100140057","https://openalex.org/W2360888784","https://openalex.org/W2121524395","https://openalex.org/W2349477768"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"Artificial":[3],"Intelligence,":[4],"particularly":[5],"Machine":[6],"Learning":[7,109],"(ML),":[8],"has":[9,19],"demonstrated":[10],"remarkable":[11],"success":[12],"in":[13],"addressing":[14],"complex":[15,61],"problems.However,":[16],"this":[17,91,119],"progress":[18],"been":[20],"accompanied":[21],"by":[22,106],"the":[23,34,50,101],"emergence":[24],"of":[25,36,54,79,104,127],"unexpected,":[26],"poorly":[27],"understood,":[28],"and":[29,39,88,129],"elusive":[30],"phenomena":[31,48],"that":[32,95],"characterize":[33],"behavior":[35],"machine":[37],"intelligence":[38],"learning":[40,128],"processes.Researchers":[41],"are":[42],"often":[43],"challenged":[44],"to":[45],"interpret":[46],"these":[47],"within":[49],"existing":[51],"theoretical":[52,102],"frameworks":[53],"ML,":[55],"fostering":[56],"a":[57,76],"search":[58],"for":[59],"more":[60],"or":[62,81],"technical":[63],"explanations.One":[64],"such":[65],"phenomenon,":[66],"known":[67],"as":[68],"\"grokking\",":[69],"occurs":[70],"when":[71],"an":[72],"ML":[73,105],"model,":[74],"after":[75],"long":[77],"period":[78],"stagnant":[80],"even":[82],"regressive":[83],"learning,":[84],"suddenly":[85],"exhibits":[86],"rapid":[87],"substantial":[89],"improvement.In":[90],"paper,":[92],"we":[93],"argue":[94],"grokking":[96,123],"can":[97,121],"be":[98],"explained":[99],"with":[100,124],"foundations":[103],"leveraging":[107],"Statistical":[108],"Theory,":[110],"i.e.,":[111],"Algorithmic":[112],"Stability":[113],"theory.We":[114],"provide":[115],"insights":[116],"into":[117],"how":[118],"theory":[120],"reconcile":[122],"established":[125],"principles":[126],"generalization.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}