{"id":"https://openalex.org/W4311003603","doi":"https://doi.org/10.1088/2632-2153/aca9ca","title":"Boost invariant polynomials for efficient jet tagging","display_name":"Boost invariant polynomials for efficient jet tagging","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4311003603","doi":"https://doi.org/10.1088/2632-2153/aca9ca"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/aca9ca","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/aca9ca","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca9ca/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca9ca/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088276616","display_name":"Jose M. Mu\u00f1oz","orcid":"https://orcid.org/0000-0001-7740-2866"},"institutions":[{"id":"https://openalex.org/I3018704611","display_name":"EIA University","ror":"https://ror.org/04wwz3282","country_code":"CO","type":"education","lineage":["https://openalex.org/I3018704611"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"Jose M Munoz","raw_affiliation_strings":["EIA University, FTA Group, Antioquia, Colombia"],"raw_orcid":"https://orcid.org/0000-0001-7740-2866","affiliations":[{"raw_affiliation_string":"EIA University, FTA Group, Antioquia, Colombia","institution_ids":["https://openalex.org/I3018704611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022966889","display_name":"Ilyes Batatia","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR","GB"],"is_corresponding":false,"raw_author_name":"Ilyes Batatia","raw_affiliation_strings":["ENS Paris-Saclay, Universit\u00e9 Paris-Saclay, 91190 Gif-sur-Yvette, France","Engineering Laboratory, University of Cambridge, Cambridge CB2 1PZ, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENS Paris-Saclay, Universit\u00e9 Paris-Saclay, 91190 Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I277688954"]},{"raw_affiliation_string":"Engineering Laboratory, University of Cambridge, Cambridge CB2 1PZ, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061841111","display_name":"Christoph Ortner","orcid":"https://orcid.org/0000-0003-1498-8120"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Christoph Ortner","raw_affiliation_strings":["Department of Mathematics, University of British Columbia, 1984 Mathematics Road, Vancouver, BC, Canada V6T 1Z2"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of British Columbia, 1984 Mathematics Road, Vancouver, BC, Canada V6T 1Z2","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088276616"],"corresponding_institution_ids":["https://openalex.org/I3018704611"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":1.2718,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94913984,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":"4","first_page":"04LT05","last_page":"04LT05"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9961000084877014,"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/T11044","display_name":"Particle Detector Development and Performance","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9312275648117065},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6653774380683899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5468636155128479},{"id":"https://openalex.org/keywords/jet","display_name":"Jet (fluid)","score":0.5436410903930664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5021438598632812},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4872652292251587},{"id":"https://openalex.org/keywords/particle-physics","display_name":"Particle physics","score":0.4258372187614441},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3456208109855652},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32715126872062683},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2934809923171997},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.08273312449455261}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9312275648117065},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6653774380683899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5468636155128479},{"id":"https://openalex.org/C119947313","wikidata":"https://www.wikidata.org/wiki/Q5596635","display_name":"Jet (fluid)","level":2,"score":0.5436410903930664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5021438598632812},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4872652292251587},{"id":"https://openalex.org/C109214941","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"Particle physics","level":1,"score":0.4258372187614441},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3456208109855652},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32715126872062683},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2934809923171997},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.08273312449455261},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1088/2632-2153/aca9ca","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/aca9ca","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca9ca/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/344878","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/344878","pdf_url":"https://www.repository.cam.ac.uk/bitstreams/ea71257c-3c7c-4576-96c9-09d0ebcd08fe/download","source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"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":"","raw_type":"Other"},{"id":"doi:10.17863/cam.92303","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.92303","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/aca9ca","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/aca9ca","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca9ca/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2991973774","display_name":null,"funder_award_id":"IDGR019381","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G4578796739","display_name":null,"funder_award_id":"IDGR019381","funder_id":"https://openalex.org/F4320321487","funder_display_name":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320321487","display_name":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320322675","display_name":"Mitacs","ror":"https://ror.org/00cjrc276"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311003603.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1984860992","https://openalex.org/W2563484019","https://openalex.org/W2756071324","https://openalex.org/W2779710223","https://openalex.org/W2792435888","https://openalex.org/W2883172346","https://openalex.org/W2895846750","https://openalex.org/W2905997089","https://openalex.org/W2910857709","https://openalex.org/W2911264653","https://openalex.org/W2915621743","https://openalex.org/W2956718876","https://openalex.org/W2968312879","https://openalex.org/W2975089235","https://openalex.org/W2999026142","https://openalex.org/W3002851826","https://openalex.org/W3033455198","https://openalex.org/W3038119593","https://openalex.org/W3044111935","https://openalex.org/W3049760802","https://openalex.org/W3098918233","https://openalex.org/W3100649114","https://openalex.org/W3101259267","https://openalex.org/W3101363214","https://openalex.org/W3101501459","https://openalex.org/W3101867861","https://openalex.org/W3102776521","https://openalex.org/W3120951562","https://openalex.org/W3185227028","https://openalex.org/W3194332806","https://openalex.org/W3203170081","https://openalex.org/W3208707586","https://openalex.org/W4220688760","https://openalex.org/W4221140049","https://openalex.org/W4225852041","https://openalex.org/W4225938673","https://openalex.org/W4226063771","https://openalex.org/W4280600366","https://openalex.org/W4287267339","https://openalex.org/W4308022370","https://openalex.org/W6778988555","https://openalex.org/W6791787143","https://openalex.org/W6810931306","https://openalex.org/W6810932055","https://openalex.org/W6811123980","https://openalex.org/W6838055297","https://openalex.org/W6847198078"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4226258012"],"abstract_inverted_index":{"Abstract":[0],"Given":[1],"the":[2],"vast":[3],"amounts":[4],"of":[5,28,71],"data":[6],"generated":[7],"by":[8],"modern":[9],"particle":[10],"detectors,":[11],"computational":[12],"efficiency":[13],"is":[14],"essential":[15],"for":[16,36,46],"many":[17],"data-analysis":[18],"jobs":[19],"in":[20],"high-energy":[21],"physics.":[22],"We":[23,43],"develop":[24],"a":[25],"new":[26],"class":[27],"physically":[29],"interpretable":[30],"boost":[31],"invariant":[32],"polynomial":[33],"(BIP)":[34],"features":[35],"jet":[37,65],"tagging":[38,66],"that":[39],"achieves":[40],"such":[41],"efficiency.":[42],"show":[44],"that,":[45],"both":[47],"supervised":[48],"and":[49,76],"unsupervised":[50],"tasks,":[51],"integrating":[52],"BIPs":[53],"with":[54],"conventional":[55],"classification":[56],"techniques":[57],"leads":[58],"to":[59,74],"models":[60],"achieving":[61],"high":[62],"accuracy":[63],"on":[64],"benchmarks":[67],"while":[68],"being":[69],"orders":[70],"magnitudes":[72],"faster":[73],"train":[75],"evaluate":[77],"than":[78],"contemporary":[79],"deep":[80],"learning":[81],"systems.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2022-12-22T00:00:00"}
