{"id":"https://openalex.org/W2582262705","doi":"https://doi.org/10.1109/isit.2017.8006747","title":"Identifying nonlinear 1-step causal influences in presence of latent variables","display_name":"Identifying nonlinear 1-step causal influences in presence of latent variables","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2582262705","doi":"https://doi.org/10.1109/isit.2017.8006747","mag":"2582262705"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2017.8006747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","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/A5072294850","display_name":"Saber Salehkaleybar","orcid":"https://orcid.org/0000-0003-3934-9931"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saber Salehkaleybar","raw_affiliation_strings":["Coordinated Science Laboratory, University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory, University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102889443","display_name":"Jalal Etesami","orcid":"https://orcid.org/0000-0002-8655-5028"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jalal Etesami","raw_affiliation_strings":["Department of ISE, University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Department of ISE, University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012789968","display_name":"Negar Kiyavash","orcid":"https://orcid.org/0000-0002-8545-7709"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Negar Kiyavash","raw_affiliation_strings":["Departments of ECE and ISE, University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Departments of ECE and ISE, University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072294850"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58786257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"198","issue":null,"first_page":"1341","last_page":"1345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.984000027179718,"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":0.984000027179718,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7767304182052612},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.7630572319030762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6326168775558472},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.5189587473869324},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4575170874595642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43333619832992554},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.42987293004989624},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.42319101095199585},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.419563889503479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3722560405731201},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33931922912597656},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3228740990161896},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1244446337223053},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10101890563964844}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7767304182052612},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.7630572319030762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6326168775558472},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.5189587473869324},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4575170874595642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43333619832992554},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42987293004989624},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.42319101095199585},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.419563889503479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3722560405731201},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33931922912597656},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3228740990161896},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1244446337223053},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10101890563964844},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2017.8006747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1610680536","https://openalex.org/W1841784391","https://openalex.org/W1995615099","https://openalex.org/W2022259473","https://openalex.org/W2022332792","https://openalex.org/W2033869127","https://openalex.org/W2058898908","https://openalex.org/W2066327035","https://openalex.org/W2082484220","https://openalex.org/W2097596242","https://openalex.org/W2113078405","https://openalex.org/W2113651262","https://openalex.org/W2140911775","https://openalex.org/W2147445408","https://openalex.org/W2155264731","https://openalex.org/W2168614460","https://openalex.org/W2178225550","https://openalex.org/W2464116876","https://openalex.org/W2563656370","https://openalex.org/W2947626232","https://openalex.org/W2963686183","https://openalex.org/W6636404519","https://openalex.org/W6638533878","https://openalex.org/W6681130209"],"related_works":["https://openalex.org/W2461917396","https://openalex.org/W2037497866","https://openalex.org/W4243467573","https://openalex.org/W62001224","https://openalex.org/W1502435251","https://openalex.org/W3032390039","https://openalex.org/W1584341211","https://openalex.org/W3122667150","https://openalex.org/W4393387622","https://openalex.org/W3145681568"],"abstract_inverted_index":{"We":[0,24,51,74],"propose":[1,25,53],"an":[2,26,54],"approach":[3,28,80],"for":[4,62],"learning":[5,56],"the":[6,19,34,38,44,63,67,76],"causal":[7,35],"structure":[8],"in":[9,18],"stochastic":[10],"dynamical":[11],"systems":[12],"with":[13],"a":[14],"1-step":[15],"functional":[16],"dependency":[17],"presence":[20],"of":[21,78],"latent":[22,45],"variables.":[23],"information-theoretic":[27],"that":[29],"allows":[30],"us":[31],"to":[32,71],"recover":[33],"relations":[36],"among":[37],"observed":[39],"variables":[40,46],"as":[41,43],"long":[42],"evolve":[47],"without":[48],"exogenous":[49],"noise.":[50],"further":[52],"efficient":[55],"method":[57],"based":[58],"on":[59],"linear":[60],"regression":[61],"special":[64],"sub-case":[65],"when":[66],"dynamics":[68],"are":[69],"restricted":[70],"be":[72],"linear.":[73],"validate":[75],"performance":[77],"our":[79],"via":[81],"numerical":[82],"simulations.":[83]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
