{"id":"https://openalex.org/W3015606100","doi":"https://doi.org/10.1109/icassp40776.2020.9053166","title":"Improving Convergent Cross Mapping for Causal Discovery with Gaussian Processes","display_name":"Improving Convergent Cross Mapping for Causal Discovery with Gaussian Processes","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015606100","doi":"https://doi.org/10.1109/icassp40776.2020.9053166","mag":"3015606100"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5040073385","display_name":"Guanchao Feng","orcid":"https://orcid.org/0000-0001-6021-0243"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guanchao Feng","raw_affiliation_strings":["Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006750969","display_name":"Kezi Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kezi Yu","raw_affiliation_strings":["Advanced Analytics, Plymouth Meeting, PA"],"affiliations":[{"raw_affiliation_string":"Advanced Analytics, Plymouth Meeting, PA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078339969","display_name":"Yunlong Wang","orcid":"https://orcid.org/0000-0003-0611-0078"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunlong Wang","raw_affiliation_strings":["Advanced Analytics, Plymouth Meeting, PA"],"affiliations":[{"raw_affiliation_string":"Advanced Analytics, Plymouth Meeting, PA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080930272","display_name":"Yilian Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yilian Yuan","raw_affiliation_strings":["Advanced Analytics, Plymouth Meeting, PA"],"affiliations":[{"raw_affiliation_string":"Advanced Analytics, Plymouth Meeting, PA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006962534","display_name":"Petar M. Djuri\u0107","orcid":"https://orcid.org/0000-0001-7791-3199"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petar M. Djuric","raw_affiliation_strings":["Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040073385"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.7809,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.68451778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3692","last_page":"3696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9853000044822693,"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"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9853000044822693,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9842000007629395,"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"}},{"id":"https://openalex.org/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9624999761581421,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/attractor","display_name":"Attractor","score":0.8458204865455627},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.578752338886261},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.5734171271324158},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5678228735923767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5617687106132507},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5065532922744751},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.483534574508667},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4693717956542969},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.4504035413265228},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4287588596343994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3448637127876282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31825998425483704}],"concepts":[{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.8458204865455627},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.578752338886261},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5734171271324158},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5678228735923767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5617687106132507},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5065532922744751},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.483534574508667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4693717956542969},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.4504035413265228},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4287588596343994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3448637127876282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31825998425483704},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/icassp40776.2020.9053166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6700000166893005,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W66306528","https://openalex.org/W1549386224","https://openalex.org/W1606939377","https://openalex.org/W1752598806","https://openalex.org/W1998367480","https://openalex.org/W2031365860","https://openalex.org/W2040704490","https://openalex.org/W2055273782","https://openalex.org/W2079656335","https://openalex.org/W2083278075","https://openalex.org/W2117259173","https://openalex.org/W2165582599","https://openalex.org/W2169779569","https://openalex.org/W2290526893","https://openalex.org/W2295698653","https://openalex.org/W2309899741","https://openalex.org/W2560632258","https://openalex.org/W2760921629","https://openalex.org/W2885638227","https://openalex.org/W2888785038","https://openalex.org/W2901378599","https://openalex.org/W3105395518","https://openalex.org/W4211049957","https://openalex.org/W4212863985","https://openalex.org/W4235323013","https://openalex.org/W6602631663","https://openalex.org/W6684389209","https://openalex.org/W6684785420"],"related_works":["https://openalex.org/W2960434112","https://openalex.org/W3049714198","https://openalex.org/W2036805113","https://openalex.org/W2129688774","https://openalex.org/W2900415423","https://openalex.org/W1629152045","https://openalex.org/W3026405273","https://openalex.org/W2022035166","https://openalex.org/W4295138410","https://openalex.org/W2970256865"],"abstract_inverted_index":{"Convergent":[0],"cross":[1],"mapping":[2],"(CCM)":[3],"is":[4,20,30,49,62,92,124,175],"designed":[5],"for":[6,13,17,38,177],"causal":[7,167,178],"discovery":[8],"between":[9],"coupled":[10],"time":[11],"series":[12],"which":[14,91,174],"Granger's":[15],"method":[16,123,141],"detecting":[18],"causality":[19],"shown":[21],"to":[22,127],"be":[23],"unreliable.":[24],"The":[25,117,139],"theoretical":[26],"foundation":[27],"of":[28,41,46,58],"CCM":[29,54,155],"based":[31,93],"on":[32,94,145],"state":[33],"space":[34],"reconstruction,":[35],"and":[36,88,113,129,149],"therefore,":[37],"the":[39,44,47,53,56,70,100,105,108,150,154,166,172],"accuracy":[40],"its":[42],"results,":[43],"quality":[45],"reconstruction":[48,57,71],"crucial.":[50],"However,":[51],"in":[52],"framework,":[55],"an":[59,158],"attractor":[60,101,111,136,160],"manifold":[61,137,161],"usually":[63],"implemented":[64],"by":[65,76],"direct":[66],"delay":[67],"embedding,":[68],"where":[69],"parameters":[72],"are":[73],"often":[74],"selected":[75],"grid":[77],"search":[78],"methods.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83],"propose":[84],"a":[85,134,146],"more":[86,125],"reliable":[87,135],"principled":[89],"approach,":[90],"Gaussian":[95],"processes":[96],"(GPs)":[97],"that":[98,121,130,153],"improves":[99],"reconstruction.":[102,138],"We":[103],"validated":[104],"approach":[106],"with":[107,112,157],"well-studied":[109],"Lorenz":[110],"without":[114],"observation":[115],"noise.":[116],"experimental":[118],"results":[119,151],"indicate":[120],"our":[122],"robust":[126],"noise":[128],"it":[131],"consistently":[132],"provides":[133],"proposed":[140],"was":[142],"then":[143],"tested":[144],"real-world":[147],"dataset,":[148],"suggested":[152],"equipped":[156],"improved":[159,171],"not":[162],"only":[163],"determined":[164],"correctly":[165],"relationship":[168],"but":[169],"also":[170],"convergence,":[173],"critical":[176],"discovery.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
