{"id":"https://openalex.org/W4401331750","doi":"https://doi.org/10.1109/iolts60994.2024.10616070","title":"SBanTEM: A Novel Methodology for Sparse Band Tensors as Soft-Error Mitigation in Sparse Convolutional Neural Networks","display_name":"SBanTEM: A Novel Methodology for Sparse Band Tensors as Soft-Error Mitigation in Sparse Convolutional Neural Networks","publication_year":2024,"publication_date":"2024-07-03","ids":{"openalex":"https://openalex.org/W4401331750","doi":"https://doi.org/10.1109/iolts60994.2024.10616070"},"language":"en","primary_location":{"id":"doi:10.1109/iolts60994.2024.10616070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iolts60994.2024.10616070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS)","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/A5050516307","display_name":"Alessio Colucci","orcid":"https://orcid.org/0000-0003-1805-750X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Alessio Colucci","raw_affiliation_strings":["Technische Universit¨at Wien,Vienna,Austria"],"affiliations":[{"raw_affiliation_string":"Technische Universit¨at Wien,Vienna,Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006749662","display_name":"Andreas Steininger","orcid":"https://orcid.org/0000-0002-3847-1647"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andreas Steininger","raw_affiliation_strings":["Technische Universit¨at Wien,Vienna,Austria"],"affiliations":[{"raw_affiliation_string":"Technische Universit¨at Wien,Vienna,Austria","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005190949","display_name":"Muhammad Shafique","orcid":"https://orcid.org/0000-0002-2607-8135"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Shafique","raw_affiliation_strings":["New York University,Division of Engineering,Abu Dhabi,UAE"],"affiliations":[{"raw_affiliation_string":"New York University,Division of Engineering,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050516307"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6474,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62296984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7184339165687561},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6972514986991882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4848419427871704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4507867097854614},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33177614212036133}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7184339165687561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6972514986991882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4848419427871704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4507867097854614},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33177614212036133}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iolts60994.2024.10616070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iolts60994.2024.10616070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8500000238418579,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313203","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2083613288","https://openalex.org/W2424922524","https://openalex.org/W2515526980","https://openalex.org/W2964866569","https://openalex.org/W2983012040","https://openalex.org/W3136021864","https://openalex.org/W3187862527","https://openalex.org/W4312924446","https://openalex.org/W4327526198","https://openalex.org/W6745889759","https://openalex.org/W6851416637"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Over":[0],"the":[1,48,94,97,101,122,126,130,171],"last":[2],"two":[3],"decades,":[4],"Convolutional":[5,31],"Neural":[6,32],"Networks":[7,33],"(CNNs)":[8],"have":[9],"become":[10],"common":[11],"in":[12,44,68,125],"a":[13,57,72,115],"wide":[14],"variety":[15],"of":[16,93,96,132,170],"tasks,":[17],"including":[18],"safety-critical":[19],"ones":[20],"such":[21,28],"as":[22,29,65,79,152,154],"autonomous":[23],"driving,":[24],"leading":[25],"to":[26,40,103,119,165],"optimizations":[27],"Sparse":[30],"(SparseCNNs).":[34],"Scaling":[35],"technologica":[36],"nodes":[37],"has":[38],"led":[39],"an":[41],"exponential":[42],"increase":[43],"transient":[45],"faults":[46],"affecting":[47],"systems,":[49],"generating":[50],"critical":[51],"soft":[52],"errors.":[53],"We":[54,89,128],"introduce":[55],"SBanTEM":[56,70,149],"novel":[58,73],"methodology":[59],"for":[60,86,145],"employing":[61,76],"sparse":[62],"band":[63,77],"tensors":[64,123],"soft-error":[66],"mitigation":[67,74],"SparseCNNs.":[69],"includes":[71],"technique,":[75],"tensors,":[78,99],"they":[80],"do":[81],"not":[82],"require":[83],"using":[84,148],"indices":[85],"storing":[87],"data.":[88],"employ":[90],"progressive":[91],"reduction":[92],"bandwidth":[95],"selected":[98],"allowing":[100],"network":[102],"train":[104],"in-between":[105],"successive":[106],"prunings,":[107],"and":[108,147,159,168],"compensat":[109],"accuracy":[110],"loss.":[111],"Additionally,":[112],"we":[113],"implement":[114],"Genetic":[116],"Algorithm":[117],"(GA)":[118],"optimally":[120],"select":[121],"bandwidths":[124],"network.":[127],"analyze":[129],"resilience":[131,141],"many":[133],"state-of-the-art":[134],"CNNs":[135],"on":[136],"multiple":[137],"datasets,":[138],"showin":[139],"that":[140],"is":[142,161],"much":[143],"lower":[144],"SparseCNNs,":[146],"makes":[150],"them":[151],"resilient":[153],"standard":[155],"CNNs.":[156],"SBanTEM\u2019s":[157],"code":[158],"result":[160],"available":[162],"at":[163],"github.com/Alexei95/SBanTEM":[164],"boost":[166],"reproducibility":[167],"reusability":[169],"implementation.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}