{"id":"https://openalex.org/W2889111186","doi":"https://doi.org/10.1109/tap.2018.2872161","title":"An Adaptive Least Angle Regression Method for Uncertainty Quantification in FDTD Computation","display_name":"An Adaptive Least Angle Regression Method for Uncertainty Quantification in FDTD Computation","publication_year":2018,"publication_date":"2018-09-26","ids":{"openalex":"https://openalex.org/W2889111186","doi":"https://doi.org/10.1109/tap.2018.2872161","mag":"2889111186"},"language":"en","primary_location":{"id":"doi:10.1109/tap.2018.2872161","doi":"https://doi.org/10.1109/tap.2018.2872161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tap.2018.2872161","pdf_url":null,"source":{"id":"https://openalex.org/S85738991","display_name":"IEEE Transactions on Antennas and Propagation","issn_l":"0018-926X","issn":["0018-926X","1558-2221"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-3","ki-jl-1","norway-1","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320753","host_organization_name":"IEEE Antennas & Propagation Society","host_organization_lineage":["https://openalex.org/P4310320753","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Antennas & Propagation Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Antennas and Propagation","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.manchester.ac.uk/files/76389222/lars_mod.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011299161","display_name":"Runze Hu","orcid":"https://orcid.org/0000-0002-6366-3763","observed_orcids":["https://orcid.org/0000-0002-6366-3763"]},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Runze Hu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K","EEE - School of Electrical and Electronic Engineering [Manchester] (School of Electrical and Electronic Engineering\r\nThe University of Manchester\r\nSackville Street Building\r\nManchester\r\nM1 3BB - United Kingdom)"],"raw_orcid":"https://orcid.org/0000-0002-6366-3763","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"EEE - School of Electrical and Electronic Engineering [Manchester] (School of Electrical and Electronic Engineering\r\nThe University of Manchester\r\nSackville Street Building\r\nManchester\r\nM1 3BB - United Kingdom)","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088057150","display_name":"Vikass Monebhurrun","orcid":"https://orcid.org/0000-0002-0804-4994","observed_orcids":["https://orcid.org/0000-0002-0804-4994"]},"institutions":[{"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"]},{"id":"https://openalex.org/I3019908861","display_name":"Laboratoire de G\u00e9nie \u00c9lectrique et \u00c9lectronique de Paris","ror":"https://ror.org/02xnnng09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I3019908861","https://openalex.org/I39804081","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vikass Monebhurrun","raw_affiliation_strings":["EXPOSE/PIEM/GEEPS, CentraleSupelec, Gif-sur-Yvette, France","GeePs - Laboratoire G\u00e9nie \u00e9lectrique et \u00e9lectronique de Paris (11, rue Joliot Curie\r\nPlateau de Moulon\r\n91192 Gif sur Yvette - France)"],"raw_orcid":"https://orcid.org/0000-0002-0804-4994","affiliations":[{"raw_affiliation_string":"EXPOSE/PIEM/GEEPS, CentraleSupelec, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I3019908861","https://openalex.org/I4210107720"]},{"raw_affiliation_string":"GeePs - Laboratoire G\u00e9nie \u00e9lectrique et \u00e9lectronique de Paris (11, rue Joliot Curie\r\nPlateau de Moulon\r\n91192 Gif sur Yvette - France)","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I3019908861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091251386","display_name":"Ryutaro Himeno","orcid":"https://orcid.org/0000-0003-3378-6989","observed_orcids":["https://orcid.org/0000-0003-3378-6989","https://orcid.org/0009-0000-6399-3378"]},"institutions":[{"id":"https://openalex.org/I4210110652","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryutaro Himeno","raw_affiliation_strings":["Head Office for Information Systems and Cybersecurity, RIKEN, Saitama, Japan","RIKEN - RIKEN - Institute of Physical and Chemical Research [Japon] (Hirosawa 2-1, Wako, Saitama 351-0198 - Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Head Office for Information Systems and Cybersecurity, RIKEN, Saitama, Japan","institution_ids":["https://openalex.org/I4210110652"]},{"raw_affiliation_string":"RIKEN - RIKEN - Institute of Physical and Chemical Research [Japon] (Hirosawa 2-1, Wako, Saitama 351-0198 - Japan)","institution_ids":["https://openalex.org/I4210110652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014175129","display_name":"Hideo Yokota","orcid":"https://orcid.org/0000-0003-1395-309X","observed_orcids":["https://orcid.org/0000-0003-1395-309X"]},"institutions":[{"id":"https://openalex.org/I4210110652","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652"]},{"id":"https://openalex.org/I4210165842","display_name":"RIKEN Center for Advanced Photonics","ror":"https://ror.org/05vmjks78","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210165842"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideo Yokota","raw_affiliation_strings":["Image Processing Research Team, Centre for Advanced Photonics, RIKEN, Saitama, Japan","RIKEN - RIKEN - Institute of Physical and Chemical Research [Japon] (Hirosawa 2-1, Wako, Saitama 351-0198 - Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Research Team, Centre for Advanced Photonics, RIKEN, Saitama, Japan","institution_ids":["https://openalex.org/I4210110652","https://openalex.org/I4210165842"]},{"raw_affiliation_string":"RIKEN - RIKEN - Institute of Physical and Chemical Research [Japon] (Hirosawa 2-1, Wako, Saitama 351-0198 - Japan)","institution_ids":["https://openalex.org/I4210110652"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006750002","display_name":"Fumie Costen","orcid":"https://orcid.org/0000-0003-1582-1664","observed_orcids":["https://orcid.org/0000-0003-1582-1664"]},"institutions":[{"id":"https://openalex.org/I4210110652","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652"]},{"id":"https://openalex.org/I4210165842","display_name":"RIKEN Center for Advanced Photonics","ror":"https://ror.org/05vmjks78","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210165842"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumie Costen","raw_affiliation_strings":["Image Processing Research Team, Centre for Advanced Photonics, RIKEN, Saitama, Japan","RIKEN - RIKEN - Institute of Physical and Chemical Research [Japon] (Hirosawa 2-1, Wako, Saitama 351-0198 - Japan)"],"raw_orcid":"https://orcid.org/0000-0003-1582-1664","affiliations":[{"raw_affiliation_string":"Image Processing Research Team, Centre for Advanced Photonics, RIKEN, Saitama, Japan","institution_ids":["https://openalex.org/I4210110652","https://openalex.org/I4210165842"]},{"raw_affiliation_string":"RIKEN - RIKEN - Institute of Physical and Chemical Research [Japon] (Hirosawa 2-1, Wako, Saitama 351-0198 - Japan)","institution_ids":["https://openalex.org/I4210110652"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":3.1582,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.92361579,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"66","issue":"12","first_page":"7188","last_page":"7197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.6836000084877014,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.6836000084877014,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11263","display_name":"Electromagnetic Simulation and Numerical Methods","score":0.125,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.03519999980926514,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear 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/uncertainty-quantification","display_name":"uncertainty quantification","score":0.8569999933242798},{"id":"https://openalex.org/keywords/least-angle-regression","display_name":"least angle regression","score":0.8650000095367432},{"id":"https://openalex.org/keywords/polynomial-chaos-expansion","display_name":"polynomial chaos expansion","score":0.9279999732971191},{"id":"https://openalex.org/keywords/sparse-polynomial-chaos","display_name":"sparse polynomial chaos","score":0.6710000038146973},{"id":"https://openalex.org/keywords/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.9319999814033508},{"id":"https://openalex.org/keywords/finite-difference-time-domain","display_name":"finite-difference time-domain simulation","score":0.6970000267028809},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.6919999718666077}],"concepts":[{"id":"https://openalex.org/C197656079","wikidata":"https://www.wikidata.org/wiki/Q17147719","display_name":"Polynomial chaos","level":3,"score":0.7734557390213013},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.7108721733093262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127213835716248},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5962267518043518},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5849939584732056},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5768362283706665},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4852176010608673},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4779755771160126},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4711408019065857},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.44355782866477966},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4235290586948395},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3481101989746094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2952630817890167},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.26240062713623047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17818161845207214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17209017276763916},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14269104599952698},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tap.2018.2872161","doi":"https://doi.org/10.1109/tap.2018.2872161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tap.2018.2872161","pdf_url":null,"source":{"id":"https://openalex.org/S85738991","display_name":"IEEE Transactions on Antennas and Propagation","issn_l":"0018-926X","issn":["0018-926X","1558-2221"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-3","ki-jl-1","norway-1","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320753","host_organization_name":"IEEE Antennas & Propagation Society","host_organization_lineage":["https://openalex.org/P4310320753","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Antennas & Propagation Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Antennas and Propagation","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/27326239-1966-4607-bc4d-9e90eb44ff46","doi":null,"is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/27326239-1966-4607-bc4d-9e90eb44ff46","pdf_url":"https://research.manchester.ac.uk/files/76389222/lars_mod.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hu, R, Costen, F, Monebhurrun, V, Himeno, R & Yokota, H 2018, 'An adaptive least angle regression method for uncertainty quantification in FDTD computation', IEEE Transactions on Antennas and Propagation . https://doi.org/10.1109/TAP.2018.2872161","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:HAL:hal-02413767v1","doi":null,"is_oa":false,"landing_page_url":"https://centralesupelec.hal.science/hal-02413767","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Antennas and Propagation, 2018, 66 (12), pp.7188-7197. &#x27E8;10.1109/TAP.2018.2872161&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/27326239-1966-4607-bc4d-9e90eb44ff46","doi":null,"is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/27326239-1966-4607-bc4d-9e90eb44ff46","pdf_url":"https://research.manchester.ac.uk/files/76389222/lars_mod.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hu, R, Costen, F, Monebhurrun, V, Himeno, R & Yokota, H 2018, 'An adaptive least angle regression method for uncertainty quantification in FDTD computation', IEEE Transactions on Antennas and Propagation . https://doi.org/10.1109/TAP.2018.2872161","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335125","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2889111186.pdf","grobid_xml":"https://content.openalex.org/works/W2889111186.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W631805356","https://openalex.org/W1490682838","https://openalex.org/W1553296127","https://openalex.org/W1570895503","https://openalex.org/W1976767421","https://openalex.org/W2003017040","https://openalex.org/W2010737928","https://openalex.org/W2014251367","https://openalex.org/W2018871086","https://openalex.org/W2045355467","https://openalex.org/W2063978378","https://openalex.org/W2064403165","https://openalex.org/W2085356046","https://openalex.org/W2090843874","https://openalex.org/W2096232775","https://openalex.org/W2105981176","https://openalex.org/W2110350996","https://openalex.org/W2118593328","https://openalex.org/W2126053421","https://openalex.org/W2132865921","https://openalex.org/W2142063750","https://openalex.org/W2150084942","https://openalex.org/W2335224956","https://openalex.org/W2504618076","https://openalex.org/W2535386355","https://openalex.org/W2556268019","https://openalex.org/W2561777305","https://openalex.org/W2621414589","https://openalex.org/W2773988353","https://openalex.org/W2780806239","https://openalex.org/W2783307739","https://openalex.org/W2792320408"],"related_works":["https://openalex.org/W2937257503","https://openalex.org/W3160540512","https://openalex.org/W2045355467","https://openalex.org/W2797263970","https://openalex.org/W4407412645","https://openalex.org/W7206163673","https://openalex.org/W2642249342","https://openalex.org/W7160404271","https://openalex.org/W2794102850","https://openalex.org/W1995973104"],"abstract_inverted_index":{"The":[0,129,143],"nonintrusive":[1],"polynomial":[2,37],"chaos":[3],"expansion":[4],"method":[5,76,98,107,131,136],"is":[6],"used":[7],"to":[8,54,90,110],"quantify":[9,111],"the":[10,19,34,42,50,55,66,71,87,92,95,112,115,118,125,133,149,156,159],"uncertainty":[11,100,113],"of":[12,21,36,44,94,114,139,151,158],"a":[13],"stochastic":[14],"system.":[15],"It":[16],"potentially":[17],"reduces":[18,148],"number":[20,35,150],"numerical":[22,119],"simulations":[23,120],"in":[24,108,137],"modeling":[25],"process,":[26],"thus":[27],"improving":[28],"efficiency":[29],"while":[30,154],"ensuring":[31],"accuracy.":[32],"However,":[33],"bases":[38],"grows":[39],"substantially":[40],"with":[41,77,121],"increase":[43],"random":[45],"parameters,":[46],"which":[47],"may":[48],"render":[49],"technique":[51],"ineffective":[52],"due":[53],"excessive":[56],"computational":[57],"resources.":[58],"To":[59],"address":[60],"such":[61,69],"problems,":[62],"methods":[63],"based":[64],"on":[65],"sparse":[67],"strategy":[68],"as":[70],"least":[72],"angle":[73],"regression":[74],"(LARS)":[75],"hyperbolic":[78],"index":[79],"sets":[80],"can":[81],"be":[82],"used.":[83],"This":[84],"paper":[85],"presents":[86],"first":[88],"work":[89],"improve":[91],"accuracy":[93,123,140,157],"original":[96,126,134],"LARS":[97,106,127,135,160],"for":[99],"quantification.":[101],"We":[102],"propose":[103],"an":[104],"adaptive":[105],"order":[109],"results":[116],"from":[117],"higher":[122],"than":[124],"method.":[128,161],"proposed":[130],"outperforms":[132],"terms":[138],"and":[141],"stability.":[142],"L2":[144],"regularization":[145],"scheme":[146],"further":[147],"input":[152],"samples":[153],"maintaining":[155]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2018-09-07T00:00:00"}
