{"id":"https://openalex.org/W4319871631","doi":"https://doi.org/10.1088/2632-2153/acbb53","title":"Robust simulation-based inference in cosmology with Bayesian neural networks","display_name":"Robust simulation-based inference in cosmology with Bayesian neural networks","publication_year":2023,"publication_date":"2023-02-10","ids":{"openalex":"https://openalex.org/W4319871631","doi":"https://doi.org/10.1088/2632-2153/acbb53"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/acbb53","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acbb53","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acbb53/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":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acbb53/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023596257","display_name":"Pablo Lemos","orcid":"https://orcid.org/0000-0002-4728-8473"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Pablo Lemos","raw_affiliation_strings":["Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, United Kingdom","Department of Physics and Astronomy, University of Sussex, Sussex House, Falmer, Brighton BN1 9RH, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-4728-8473","affiliations":[{"raw_affiliation_string":"Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, United Kingdom","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Department of Physics and Astronomy, University of Sussex, Sussex House, Falmer, Brighton BN1 9RH, United Kingdom","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078731429","display_name":"Miles Cranmer","orcid":"https://orcid.org/0000-0002-6458-3423"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miles Cranmer","raw_affiliation_strings":["Department of Astrophysical Science, Princeton University, Peyton Hall, Princeton, NJ 08544, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Astrophysical Science, Princeton University, Peyton Hall, Princeton, NJ 08544, United States of America","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065960659","display_name":"Muntazir Abidi","orcid":"https://orcid.org/0000-0002-7277-9995"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Muntazir Abidi","raw_affiliation_strings":["D\u00e9partement de Physique Th\u00e9orique, Universit\u00e9 de Gen\u00e8ve, 24 quai Ernest Ansermet, 1211 Gen\u00e8ve 4, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement de Physique Th\u00e9orique, Universit\u00e9 de Gen\u00e8ve, 24 quai Ernest Ansermet, 1211 Gen\u00e8ve 4, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060984452","display_name":"ChangHoon Hahn","orcid":"https://orcid.org/0000-0003-1197-0902"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ChangHoon Hahn","raw_affiliation_strings":["Department of Astrophysical Science, Princeton University, Peyton Hall, Princeton, NJ 08544, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Astrophysical Science, Princeton University, Peyton Hall, Princeton, NJ 08544, United States of America","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065146930","display_name":"Michael Eickenberg","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153546","display_name":"Flatiron Health (United States)","ror":"https://ror.org/0508h6p74","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153546"]},{"id":"https://openalex.org/I4387153999","display_name":"Flatiron Institute","ror":"https://ror.org/00sekdz59","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4210107338","https://openalex.org/I4387153999"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Eickenberg","raw_affiliation_strings":["Flatiron Institute Center for Computational Mathematics, 162 5th Ave, 3rd floor, New York, NY 10010, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Flatiron Institute Center for Computational Mathematics, 162 5th Ave, 3rd floor, New York, NY 10010, United States of America","institution_ids":["https://openalex.org/I4210153546","https://openalex.org/I4387153999"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049699829","display_name":"Elena Massara","orcid":"https://orcid.org/0000-0002-0637-8042"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Elena Massara","raw_affiliation_strings":["Department of Physics and Astronomy, University of Waterloo, Waterloo, ON N2L 3G1, Canada","Waterloo Centre for Astrophysics, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics and Astronomy, University of Waterloo, Waterloo, ON N2L 3G1, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Waterloo Centre for Astrophysics, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083977405","display_name":"D. P. Yallup","orcid":"https://orcid.org/0000-0003-4716-5817"},"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"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Yallup","raw_affiliation_strings":["Kavli Institute for Cosmology, Cavendish Laboratory, Madingley Road, Cambridge, CB3 0HA, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kavli Institute for Cosmology, Cavendish Laboratory, Madingley Road, Cambridge, CB3 0HA, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049051097","display_name":"Shirley Ho","orcid":"https://orcid.org/0000-0002-1068-160X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210153546","display_name":"Flatiron Health (United States)","ror":"https://ror.org/0508h6p74","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153546"]},{"id":"https://openalex.org/I4387153999","display_name":"Flatiron Institute","ror":"https://ror.org/00sekdz59","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4210107338","https://openalex.org/I4387153999"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shirley Ho","raw_affiliation_strings":["Center for Cosmology and Particle Physics, Department of Physics, New York University, NY, NY 10003, United States of America","Department of Astrophysical Science, Princeton University, Peyton Hall, Princeton, NJ 08544, United States of America","Department of Physics, Carnegie Mellon University, Pittsburgh, PA 15213, United States of America","Flatiron Institute Center for Computational Mathematics, 162 5th Ave, 3rd floor, New York, NY 10010, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Cosmology and Particle Physics, Department of Physics, New York University, NY, NY 10003, United States of America","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Department of Astrophysical Science, Princeton University, Peyton Hall, Princeton, NJ 08544, United States of America","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Department of Physics, Carnegie Mellon University, Pittsburgh, PA 15213, United States of America","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Flatiron Institute Center for Computational Mathematics, 162 5th Ave, 3rd floor, New York, NY 10010, United States of America","institution_ids":["https://openalex.org/I4210153546","https://openalex.org/I4387153999"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5023596257"],"corresponding_institution_ids":["https://openalex.org/I162608824","https://openalex.org/I45129253"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":4.4522,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.951364,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"4","issue":"1","first_page":"01LT01","last_page":"01LT01"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10095","display_name":"Cosmology and Gravitation Theories","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"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/T10095","display_name":"Cosmology and Gravitation Theories","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"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/T10026","display_name":"Galaxies: Formation, Evolution, Phenomena","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9901999831199646,"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/inference","display_name":"Inference","score":0.6731658577919006},{"id":"https://openalex.org/keywords/cosmology","display_name":"Cosmology","score":0.5851539373397827},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5795103311538696},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5077599287033081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5014917850494385},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4985017776489258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4826793968677521},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42694681882858276},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1078367829322815},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.06391170620918274}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6731658577919006},{"id":"https://openalex.org/C26405456","wikidata":"https://www.wikidata.org/wiki/Q338","display_name":"Cosmology","level":2,"score":0.5851539373397827},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5795103311538696},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5077599287033081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5014917850494385},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4985017776489258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4826793968677521},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42694681882858276},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1078367829322815},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.06391170620918274}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1088/2632-2153/acbb53","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acbb53","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acbb53/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:arXiv.org:2207.08435","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.08435","pdf_url":"https://arxiv.org/pdf/2207.08435","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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:c38153b05fa841b4bc44f172e02a1a45","is_oa":true,"landing_page_url":"https://doaj.org/article/c38153b05fa841b4bc44f172e02a1a45","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 4, Iss 1, p 01LT01 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/acbb53","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acbb53","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acbb53/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":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G1060131252","display_name":"University of Sussex Astronomy Consolidated Grant 2020-2023","funder_award_id":"ST/T000473/1","funder_id":"https://openalex.org/F4320334632","funder_display_name":"Science and Technology Facilities Council"},{"id":"https://openalex.org/G4279081818","display_name":null,"funder_award_id":"ST/T000473/1","funder_id":"https://openalex.org/F4320334632","funder_display_name":"Science and Technology Facilities Council"}],"funders":[{"id":"https://openalex.org/F4320334632","display_name":"Science and Technology Facilities Council","ror":"https://ror.org/057g20z61"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4319871631.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W1719489212","https://openalex.org/W1911375530","https://openalex.org/W1944901286","https://openalex.org/W1965175390","https://openalex.org/W2020830643","https://openalex.org/W2026915078","https://openalex.org/W2032616735","https://openalex.org/W2049165798","https://openalex.org/W2117518969","https://openalex.org/W2131988425","https://openalex.org/W2153208487","https://openalex.org/W2167030304","https://openalex.org/W2737296353","https://openalex.org/W2751448052","https://openalex.org/W2781708744","https://openalex.org/W2791995286","https://openalex.org/W2919751573","https://openalex.org/W2952838738","https://openalex.org/W2971947117","https://openalex.org/W2972913944","https://openalex.org/W2978226903","https://openalex.org/W3021130000","https://openalex.org/W3031514878","https://openalex.org/W3090580769","https://openalex.org/W3093319949","https://openalex.org/W3098725059","https://openalex.org/W3104376054","https://openalex.org/W3117539469","https://openalex.org/W3134451529","https://openalex.org/W3193094654","https://openalex.org/W3204640165","https://openalex.org/W3205348897","https://openalex.org/W3217622780","https://openalex.org/W6617145748","https://openalex.org/W6639317949"],"related_works":["https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W3015855446","https://openalex.org/W2965643117","https://openalex.org/W4303857162","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158"],"abstract_inverted_index":{"Abstract":[0],"Simulation-based":[1],"inference":[2,114,139],"(SBI)":[3],"is":[4,55],"rapidly":[5],"establishing":[6],"itself":[7],"as":[8],"a":[9,98],"standard":[10],"machine":[11],"learning":[12],"technique":[13],"for":[14,103,138],"analyzing":[15],"data":[16,38],"in":[17,62,78,111],"cosmological":[18],"surveys.":[19],"Despite":[20],"continual":[21],"improvements":[22],"to":[23,36,59,82,130,135],"the":[24,43,51,60,66,89,116,123,141],"quality":[25],"of":[26,33,46,70,91,126],"density":[27],"estimation":[28],"by":[29],"learned":[30],"models,":[31],"applications":[32],"such":[34,83],"techniques":[35],"real":[37],"are":[39,80],"entirely":[40],"reliant":[41],"on":[42,140],"generalization":[44,84],"power":[45],"neural":[47,100],"networks":[48],"far":[49],"outside":[50,115],"training":[52,104,117],"distribution,":[53],"which":[54],"mostly":[56],"unconstrained.":[57],"Due":[58],"imperfections":[61],"scientist-created":[63],"simulations,":[64],"and":[65,94,109,132],"large":[67],"computational":[68],"expense":[69],"generating":[71],"all":[72],"possible":[73],"parameter":[74],"combinations,":[75],"SBI":[76,105,136],"methods":[77],"cosmology":[79],"vulnerable":[81],"issues.":[85],"Here,":[86],"we":[87],"discuss":[88],"effects":[90],"both":[92],"issues,":[93],"show":[95],"how":[96],"using":[97],"Bayesian":[99],"network":[101],"framework":[102],"can":[106],"mitigate":[107],"biases,":[108],"result":[110],"more":[112],"reliable":[113],"set.":[118],"We":[119],"introduce":[120],"cosmoSWAG":[121],",":[122],"first":[124],"application":[125],"stochastic":[127],"weight":[128],"averaging":[129],"cosmology,":[131],"apply":[133],"it":[134],"trained":[137],"cosmic":[142],"microwave":[143],"background.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
