{"id":"https://openalex.org/W4379116041","doi":"https://doi.org/10.23919/date56975.2023.10137328","title":"Countering Uncertainties in In-Memory-Computing Platforms with Statistical Training, Accuracy Compensation and Recursive Test","display_name":"Countering Uncertainties in In-Memory-Computing Platforms with Statistical Training, Accuracy Compensation and Recursive Test","publication_year":2023,"publication_date":"2023-04-01","ids":{"openalex":"https://openalex.org/W4379116041","doi":"https://doi.org/10.23919/date56975.2023.10137328"},"language":"en","primary_location":{"id":"doi:10.23919/date56975.2023.10137328","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/date56975.2023.10137328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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/A5083645314","display_name":"Amro Eldebiky","orcid":"https://orcid.org/0009-0006-3947-4256"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Amro Eldebiky","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070194930","display_name":"Grace Li Zhang","orcid":"https://orcid.org/0000-0002-8289-9288"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Grace Li Zhang","raw_affiliation_strings":["TU Darmstadt"],"affiliations":[{"raw_affiliation_string":"TU Darmstadt","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451231","display_name":"Bing Li","orcid":"https://orcid.org/0000-0001-9752-7201"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083645314"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52849772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9976999759674072,"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/T10299","display_name":"Photonic and Optical Devices","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7653464078903198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7382673621177673},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5547946095466614},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5351342558860779},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.45222407579421997},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4428621530532837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41576704382896423},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4142056405544281},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3748713731765747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3674132823944092},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3635663390159607}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7653464078903198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382673621177673},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5547946095466614},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5351342558860779},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.45222407579421997},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4428621530532837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41576704382896423},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4142056405544281},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3748713731765747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3674132823944092},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3635663390159607},{"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date56975.2023.10137328","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/date56975.2023.10137328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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":28,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W1998385236","https://openalex.org/W2056507634","https://openalex.org/W2148324508","https://openalex.org/W2163605009","https://openalex.org/W2473024693","https://openalex.org/W2508602506","https://openalex.org/W2518281301","https://openalex.org/W2612375349","https://openalex.org/W2787707688","https://openalex.org/W2943528195","https://openalex.org/W2946047477","https://openalex.org/W2946591837","https://openalex.org/W2952285760","https://openalex.org/W2962730419","https://openalex.org/W2962824709","https://openalex.org/W3018877817","https://openalex.org/W3036942028","https://openalex.org/W3091885635","https://openalex.org/W3098725389","https://openalex.org/W3111554287","https://openalex.org/W3211724015","https://openalex.org/W4246799416","https://openalex.org/W4379113625","https://openalex.org/W6684191040","https://openalex.org/W6744119252","https://openalex.org/W6779736642","https://openalex.org/W6847174009"],"related_works":["https://openalex.org/W2390829436","https://openalex.org/W1971289376","https://openalex.org/W1989791859","https://openalex.org/W2379084545","https://openalex.org/W2565094479","https://openalex.org/W602859758","https://openalex.org/W2379101322","https://openalex.org/W2055243143","https://openalex.org/W2726447019","https://openalex.org/W286105939"],"abstract_inverted_index":{"In-memory-computing":[0],"(IMC)":[1],"has":[2],"become":[3],"an":[4,153,180,206],"efficient":[5],"solution":[6],"for":[7,114,145,157],"implementing":[8],"neural":[9,19,65,89,115,130,158,224],"networks":[10,20,66],"on":[11],"hardware.":[12],"However,":[13,172],"IMC":[14],"platforms":[15],"request":[16],"weights":[17,126],"in":[18,81,127,152,175],"to":[21,24,34,51,63,96,134,167,186,199,218],"be":[22,49,215],"programmed":[23],"exact":[25],"values.":[26],"This":[27,160],"is":[28,79],"a":[29,61,88,108,143,195],"very":[30,184],"demanding":[31],"task":[32],"due":[33],"programming":[35],"complexity,":[36],"process":[37,69,150,187,212],"variations,":[38],"noise,":[39],"as":[40,42,72],"well":[41],"thermal":[43],"effects.":[44],"Accordingly,":[45],"new":[46],"methods":[47],"should":[48],"introduced":[50],"counter":[52],"such":[53],"uncertainties.":[54,97],"In":[55],"this":[56,191],"paper,":[57],"we":[58,105,140,193],"first":[59],"discuss":[60,142],"method":[62,110,144],"train":[64],"statistically":[67],"with":[68,100,111],"variations":[70,101,151,213],"modeled":[71],"correlated":[73],"random":[74],"variables.":[75],"The":[76],"statistical":[77,92],"effect":[78,148],"incorporated":[80],"the":[82,125,128,136,147,169,176,201,220],"cost":[83],"function":[84],"during":[85],"training.":[86],"Consequently,":[87],"network":[90,131],"after":[91,124],"training":[93],"becomes":[94],"robust":[95],"To":[98,189],"deal":[99],"and":[102],"noise":[103],"further,":[104],"also":[106],"introduce":[107],"compensation":[109],"extra":[112,118],"layers":[113,119],"networks.":[116,159,225],"These":[117],"are":[120,132],"trained":[121],"offline":[122],"again":[123],"original":[129],"determined":[133],"enhance":[135],"inference":[137,221],"accuracy.":[138],"Finally,":[139],"will":[141],"testing":[146],"of":[149,179,203,223],"optical":[154,161,207],"acceleration":[155,208],"platform":[156,162],"uses":[163],"Mach-Zehnder":[164],"Interferometers":[165],"(MZIs)":[166],"implement":[168],"multiply-accumulate":[170],"operations.":[171],"trigonometric":[173],"functions":[174],"transformation":[177],"matrix":[178],"MZI":[181],"make":[182],"it":[183],"sensitive":[185],"variations.":[188],"address":[190],"problem,":[192],"apply":[194],"recursive":[196],"test":[197],"procedure":[198],"determine":[200],"properties":[202],"MZIs":[204],"inside":[205],"module,":[209],"so":[210],"that":[211],"can":[214],"compensated":[216],"accordingly":[217],"maintain":[219],"accuracy":[222]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}