{"id":"https://openalex.org/W4312962873","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892302","title":"Asymptotic Stability in Reservoir Computing","display_name":"Asymptotic Stability in Reservoir Computing","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312962873","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892302"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892302","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/bitstreams/5a90a302-a50e-494e-badc-cddbe8f52779/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066436983","display_name":"Jonathan Dong","orcid":"https://orcid.org/0000-0002-8315-5571"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Jonathan Dong","raw_affiliation_strings":["Ecole Polytechnique Federale de Lausanne,Biomedical Imaging Group,Lausanne,Switzerland,1015"],"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique Federale de Lausanne,Biomedical Imaging Group,Lausanne,Switzerland,1015","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090206725","display_name":"Erik B\u00f6rve","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Erik B\u00f6rve","raw_affiliation_strings":["Ecole Polytechnique Federale de Lausanne,Biomedical Imaging Group,Lausanne,Switzerland,1015"],"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique Federale de Lausanne,Biomedical Imaging Group,Lausanne,Switzerland,1015","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057508631","display_name":"Mushegh Rafayelyan","orcid":"https://orcid.org/0000-0001-7615-6579"},"institutions":[{"id":"https://openalex.org/I196551433","display_name":"Yerevan State University","ror":"https://ror.org/00s8vne50","country_code":"AM","type":"education","lineage":["https://openalex.org/I196551433"]}],"countries":["AM"],"is_corresponding":false,"raw_author_name":"Mushegh Rafayelyan","raw_affiliation_strings":["Yerevan State University,PhotonicsAI lab,Department of Physics,Yerevan,Armenia","Department of Physics, PhotonicsAI lab, Yerevan State University, Yerevan, Armenia"],"affiliations":[{"raw_affiliation_string":"Yerevan State University,PhotonicsAI lab,Department of Physics,Yerevan,Armenia","institution_ids":["https://openalex.org/I196551433"]},{"raw_affiliation_string":"Department of Physics, PhotonicsAI lab, Yerevan State University, Yerevan, Armenia","institution_ids":["https://openalex.org/I196551433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027830035","display_name":"Micha\u00ebl Unser","orcid":"https://orcid.org/0000-0003-1248-2513"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Michael Unser","raw_affiliation_strings":["Ecole Polytechnique Federale de Lausanne,Biomedical Imaging Group,Lausanne,Switzerland,1015"],"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique Federale de Lausanne,Biomedical Imaging Group,Lausanne,Switzerland,1015","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066436983"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.2087,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45013249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"148.34","issue":null,"first_page":"01","last_page":"08"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9965999722480774,"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":0.9919999837875366,"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/reservoir-computing","display_name":"Reservoir computing","score":0.939461350440979},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6018168330192566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5953933000564575},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5664021968841553},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5589755177497864},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5554712414741516},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5059019923210144},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4642214775085449},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.435837984085083},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3394082188606262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26769372820854187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23705342411994934},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17993012070655823},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12017133831977844}],"concepts":[{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.939461350440979},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6018168330192566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5953933000564575},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5664021968841553},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5589755177497864},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5554712414741516},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5059019923210144},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4642214775085449},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.435837984085083},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3394082188606262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26769372820854187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23705342411994934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17993012070655823},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12017133831977844},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892302","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:299245","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/193746","pdf_url":"https://infoscience.epfl.ch/bitstreams/5a90a302-a50e-494e-badc-cddbe8f52779/download","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:299245","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/193746","pdf_url":"https://infoscience.epfl.ch/bitstreams/5a90a302-a50e-494e-badc-cddbe8f52779/download","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G389781072","display_name":"Functional learning: From theory to application in bioimaging","funder_award_id":"101020573","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4956428346","display_name":null,"funder_award_id":"Horizon 2020 research and innovatio","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5036817778","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innov","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8633428685","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innovat","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312962873.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1743210689","https://openalex.org/W1977664984","https://openalex.org/W2022248835","https://openalex.org/W2036451492","https://openalex.org/W2037024114","https://openalex.org/W2090722674","https://openalex.org/W2144902422","https://openalex.org/W2145297462","https://openalex.org/W2171865010","https://openalex.org/W2521529690","https://openalex.org/W2587524409","https://openalex.org/W2608997467","https://openalex.org/W2782714865","https://openalex.org/W2785760623","https://openalex.org/W2887258823","https://openalex.org/W2955431988","https://openalex.org/W3002979339","https://openalex.org/W3008311476","https://openalex.org/W3034914155","https://openalex.org/W3099119964","https://openalex.org/W3101746023","https://openalex.org/W6681302627","https://openalex.org/W6779397912"],"related_works":["https://openalex.org/W3192662224","https://openalex.org/W2998821156","https://openalex.org/W4390421286","https://openalex.org/W4389072666","https://openalex.org/W4280563792","https://openalex.org/W2140186469","https://openalex.org/W4384648378","https://openalex.org/W4237814686","https://openalex.org/W2903992663","https://openalex.org/W2997427060"],"abstract_inverted_index":{"Reservoir":[0,32],"Computing":[1,33],"is":[2,27,42],"a":[3,47,115,121,138],"class":[4],"of":[5,20,53,124,149],"Recurrent":[6,150],"Neural":[7,151],"Networks":[8],"with":[9,114],"internal":[10],"weights":[11],"fixed":[12],"at":[13],"random.":[14],"Stability":[15],"relates":[16],"to":[17,24,44,62,91,103,144],"the":[18,21,51,63,87,125,146],"sensitivity":[19],"network":[22],"state":[23],"perturbations.":[25],"It":[26],"an":[28],"important":[29],"property":[30],"in":[31,46,97],"as":[34],"it":[35,41,108],"directly":[36],"impacts":[37],"performance.":[38],"In":[39,82,137],"practice,":[40],"desirable":[43],"stay":[45],"stable":[48],"regime,":[49],"where":[50,66],"effect":[52],"perturbations":[54],"does":[55],"not":[56],"explode":[57],"exponentially,":[58],"but":[59],"also":[60],"close":[61],"chaotic":[64],"frontier":[65,126],"reservoir":[67,98,105],"dynamics":[68,148],"are":[69],"rich.":[70],"Open":[71],"questions":[72],"remain":[73],"today":[74],"regarding":[75],"input":[76],"regularization":[77],"and":[78,107,129],"discontinuous":[79],"activation":[80],"functions.":[81],"this":[83],"work,":[84],"we":[85],"use":[86],"recurrent":[88],"kernel":[89],"limit":[90,101],"draw":[92],"new":[93],"insights":[94],"on":[95],"stability":[96,128],"computing.":[99],"This":[100],"corresponds":[102],"large":[104],"sizes,":[106],"already":[109],"becomes":[110],"relevant":[111],"for":[112],"reservoirs":[113],"few":[116],"hundred":[117],"neurons.":[118],"We":[119],"obtain":[120],"quantitative":[122],"characterization":[123],"between":[127],"chaos,":[130],"which":[131],"can":[132],"greatly":[133],"benefit":[134],"hyperparameter":[135],"tuning.":[136],"broader":[139],"sense,":[140],"our":[141],"results":[142],"contribute":[143],"understanding":[145],"complex":[147],"Networks.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
