{"id":"https://openalex.org/W2639455280","doi":"https://doi.org/10.1109/icassp.2017.7952678","title":"Estimation and learning of Dynamic Nonlinear Networks (DyNNets)","display_name":"Estimation and learning of Dynamic Nonlinear Networks (DyNNets)","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2639455280","doi":"https://doi.org/10.1109/icassp.2017.7952678","mag":"2639455280"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112288354","display_name":"Mojtaba Sahraee-Ardakan","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mojtaba Sahraee-Ardakan","raw_affiliation_strings":["University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073129946","display_name":"Alyson K. Fletcher","orcid":"https://orcid.org/0000-0002-3756-6580"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alyson K. Fletcher","raw_affiliation_strings":["University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"2856","last_page":"2860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/nonlinear-system","display_name":"Nonlinear system","score":0.7326971888542175},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.6499903202056885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6130033135414124},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5534331798553467},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.5262683629989624},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5146099328994751},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4975028336048126},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4905089735984802},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"Nonlinear system identification","score":0.4708292782306671},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4632611870765686},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.45816853642463684},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.4377436935901642},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4326782822608948},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.358593225479126},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3384222984313965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3224591016769409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31009483337402344},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.27455875277519226},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.17147186398506165},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08700096607208252},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07593563199043274}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7326971888542175},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.6499903202056885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6130033135414124},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5534331798553467},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.5262683629989624},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5146099328994751},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4975028336048126},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4905089735984802},{"id":"https://openalex.org/C22157029","wikidata":"https://www.wikidata.org/wiki/Q17080460","display_name":"Nonlinear system identification","level":4,"score":0.4708292782306671},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4632611870765686},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.45816853642463684},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.4377436935901642},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4326782822608948},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.358593225479126},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3384222984313965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3224591016769409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31009483337402344},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27455875277519226},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.17147186398506165},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08700096607208252},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07593563199043274},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W416823463","https://openalex.org/W1544900599","https://openalex.org/W1581808154","https://openalex.org/W1975452356","https://openalex.org/W1987772002","https://openalex.org/W2024202336","https://openalex.org/W2044797198","https://openalex.org/W2065313971","https://openalex.org/W2074376560","https://openalex.org/W2104101607","https://openalex.org/W2104606932","https://openalex.org/W2112239465","https://openalex.org/W2131210515","https://openalex.org/W2157380881","https://openalex.org/W2639455280","https://openalex.org/W2963050343","https://openalex.org/W2963804082","https://openalex.org/W4292363360","https://openalex.org/W4301014524","https://openalex.org/W6638803421","https://openalex.org/W6675416801","https://openalex.org/W6676629228","https://openalex.org/W6679319954"],"related_works":["https://openalex.org/W2152282424","https://openalex.org/W2320891258","https://openalex.org/W2091914113","https://openalex.org/W564324191","https://openalex.org/W2021395081","https://openalex.org/W4386033416","https://openalex.org/W2004841036","https://openalex.org/W1490020332","https://openalex.org/W1909999440","https://openalex.org/W1595492935"],"abstract_inverted_index":{"Learning":[0],"high-dimensional":[1,25],"systems":[2,26,30],"from":[3],"data":[4],"is":[5,65,73,129],"often":[6],"computationally":[7],"challenging":[8],"in":[9],"the":[10,76,80,84,96,120],"presence":[11],"of":[12,24,33,61,79,87,109,124,133],"nonlinearities":[13],"and":[14,44,64,101,116],"dynamics.":[15],"This":[16,104],"paper":[17],"proposes":[18],"a":[19,58,88,91,111],"novel":[20],"approach":[21],"for":[22,68],"identification":[23,118],"based":[27],"on":[28,131],"decomposing":[29],"into":[31],"networks":[32],"low-dimensional":[34],"linear":[35,46,97,102],"dynamical":[36],"subsystems":[37],"with":[38],"memoryless,":[39,45],"scalar":[40],"nonlinear":[41],"feedback":[42],"elements":[43],"interactions.":[47,103],"The":[48,127],"proposed":[49],"model,":[50],"called":[51],"Dynamic":[52],"Nonlinear":[53],"Networks":[54],"(DyNNets),":[55],"can":[56],"encompass":[57],"wide":[59],"range":[60],"complex":[62],"phenomena":[63],"particularly":[66],"well-suited":[67],"modeling":[69],"neuronal":[70],"systems.":[71],"It":[72],"shown":[74],"that":[75,94],"posterior":[77],"density":[78],"hidden":[81],"states":[82],"given":[83],"unknown":[85],"parameters":[86],"DyNNet":[89],"admits":[90],"factorable":[92],"structure":[93],"separates":[95],"dynamics,":[98],"memoryless":[99],"nonlinearities,":[100],"factorization":[105],"enables":[106],"efficient":[107],"implementation":[108],"maximum":[110],"posteriori":[112],"(MAP)":[113],"state":[114],"estimation":[115,132],"system":[117],"via":[119],"alternating":[121],"direction":[122],"method":[123],"multipliers":[125],"(ADMM).":[126],"methodology":[128],"illustrated":[130],"neural":[134],"mass":[135],"models.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}