{"id":"https://openalex.org/W4366351848","doi":"https://doi.org/10.1109/tpami.2023.3268415","title":"REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines","display_name":"REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines","publication_year":2023,"publication_date":"2023-04-19","ids":{"openalex":"https://openalex.org/W4366351848","doi":"https://doi.org/10.1109/tpami.2023.3268415","pmid":"https://pubmed.ncbi.nlm.nih.gov/37074898"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3268415","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3268415","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tpami.2023.3268415","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061841041","display_name":"Sidharth Maheshwari","orcid":"https://orcid.org/0000-0002-9665-5698"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sidharth Maheshwari","raw_affiliation_strings":["Microsystems Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9665-5698","affiliations":[{"raw_affiliation_string":"Microsystems Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091899533","display_name":"Tousif Rahman","orcid":"https://orcid.org/0000-0001-8669-010X"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tousif Rahman","raw_affiliation_strings":["Microsystems Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8669-010X","affiliations":[{"raw_affiliation_string":"Microsystems Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077777787","display_name":"Rishad Shafik","orcid":"https://orcid.org/0000-0001-5444-537X"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rishad Shafik","raw_affiliation_strings":["Microsystems Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5444-537X","affiliations":[{"raw_affiliation_string":"Microsystems Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029446985","display_name":"Alex Yakovlev","orcid":"https://orcid.org/0000-0003-0826-9330"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alex Yakovlev","raw_affiliation_strings":["Microsystems Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K"],"raw_orcid":"https://orcid.org/0000-0003-0826-9330","affiliations":[{"raw_affiliation_string":"Microsystems Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059001136","display_name":"Ashur Rafiev","orcid":"https://orcid.org/0000-0002-7387-5970"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ashur Rafiev","raw_affiliation_strings":["Microsystems Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K"],"raw_orcid":"https://orcid.org/0000-0002-7387-5970","affiliations":[{"raw_affiliation_string":"Microsystems Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088563530","display_name":"Lei Jiao","orcid":"https://orcid.org/0000-0002-7115-6489"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Lei Jiao","raw_affiliation_strings":["Centre for Artificial Intelligence Research (CAIR), University of Agder, Grimstad, Norway","Centre for Artificial Intelligence Research (CAIR), University of Agder, Jon Lilletunsvei 9, Grimstad, Norway"],"raw_orcid":"https://orcid.org/0000-0002-7115-6489","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence Research (CAIR), University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]},{"raw_affiliation_string":"Centre for Artificial Intelligence Research (CAIR), University of Agder, Jon Lilletunsvei 9, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071922620","display_name":"Ole\u2010Christoffer Granmo","orcid":"https://orcid.org/0000-0002-7287-030X"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Ole-Christoffer Granmo","raw_affiliation_strings":["Centre for Artificial Intelligence Research (CAIR), University of Agder, Grimstad, Norway","Centre for Artificial Intelligence Research (CAIR), University of Agder, Jon Lilletunsvei 9, Grimstad, Norway"],"raw_orcid":"https://orcid.org/0000-0002-7287-030X","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence Research (CAIR), University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]},{"raw_affiliation_string":"Centre for Artificial Intelligence Research (CAIR), University of Agder, Jon Lilletunsvei 9, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0496,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.9448697,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"45","issue":"9","first_page":"11152","last_page":"11168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9984999895095825,"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/T12288","display_name":"Optimization and Search Problems","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7664350271224976},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.7351173758506775},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6291466355323792},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5134733319282532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4957188367843628},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47217029333114624},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.45192453265190125},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.42370370030403137},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3897937536239624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664350271224976},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.7351173758506775},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6291466355323792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5134733319282532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4957188367843628},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47217029333114624},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.45192453265190125},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.42370370030403137},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3897937536239624},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3268415","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3268415","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37074898","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37074898","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/tpami.2023.3268415","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3268415","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2119144962","https://openalex.org/W2190345096","https://openalex.org/W2242818861","https://openalex.org/W2260663238","https://openalex.org/W2419597278","https://openalex.org/W2592929672","https://openalex.org/W2750384547","https://openalex.org/W2796362437","https://openalex.org/W2797583228","https://openalex.org/W2896409484","https://openalex.org/W2897303255","https://openalex.org/W2902986194","https://openalex.org/W2945976633","https://openalex.org/W2962988160","https://openalex.org/W2963122961","https://openalex.org/W2987383153","https://openalex.org/W3004633656","https://openalex.org/W3045569263","https://openalex.org/W3048617363","https://openalex.org/W3083629635","https://openalex.org/W3104627021","https://openalex.org/W3116888807","https://openalex.org/W3118608800","https://openalex.org/W3119720298","https://openalex.org/W3153509840","https://openalex.org/W3174716710","https://openalex.org/W4221010870","https://openalex.org/W4236099117","https://openalex.org/W4280545967","https://openalex.org/W4283802691","https://openalex.org/W4285605523","https://openalex.org/W4312357613","https://openalex.org/W4312821727","https://openalex.org/W6677580257","https://openalex.org/W6685627644","https://openalex.org/W6690026940","https://openalex.org/W6692521979","https://openalex.org/W6717177883","https://openalex.org/W6720334500","https://openalex.org/W6740103103","https://openalex.org/W6743688258","https://openalex.org/W6750154454","https://openalex.org/W6750665317","https://openalex.org/W6755843862","https://openalex.org/W6782949407","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2057057690","https://openalex.org/W2368184788","https://openalex.org/W2358964818","https://openalex.org/W2359535128","https://openalex.org/W2381332051","https://openalex.org/W2321443665","https://openalex.org/W3094340691","https://openalex.org/W2375699995","https://openalex.org/W2043719711","https://openalex.org/W2140069467"],"abstract_inverted_index":{"Inference":[0],"at-the-edge":[1],"using":[2,230],"embedded":[3],"machine":[4,50],"learning":[5,51,55],"models":[6,236],"is":[7,150],"associated":[8,141],"with":[9,142,216,267],"challenging":[10],"trade-offs":[11],"between":[12],"resource":[13],"metrics,":[14,24],"such":[15,25],"as":[16,26,118],"energy":[17,262],"and":[18,21,29,74,86,101,123,168,250,261],"memory":[19,92,182],"footprint,":[20],"the":[22,37,91,95,115,134,139,160,166,170,176,181,195,200,217],"performance":[23],"computation":[27],"time":[28],"accuracy.":[30],"In":[31,224],"this":[32,225],"work,":[33,226],"we":[34,227],"go":[35],"beyond":[36],"conventional":[38],"Neural":[39,220],"Network":[40,221],"based":[41],"approaches":[42],"to":[43,57,67,89,98,144,164,174,210],"explore":[44],"Tsetlin":[45,108,161],"Machine":[46],"(TM),":[47],"an":[48,187,255],"emerging":[49],"algorithm,":[52],"that":[53,136,192,203,229],"uses":[54],"automata":[56,97],"create":[58],"propositional":[59],"logic":[60],"for":[61,72,241],"classification.":[62],"We":[63],"use":[64],"algorithm-hardware":[65],"co-design":[66],"propose":[68],"a":[69,128,153],"novel":[70,154],"methodology":[71],"training":[73,85,157],"inference":[75,87,190],"of":[76,94,107,172,178],"TM.":[77],"The":[78,105],"methodology,":[79],"called":[80,121,133,159],"REDRESS,":[81],"comprises":[82],"independent":[83],"TM":[84,233],"techniques":[88],"reduce":[90,175],"footprint":[93],"resulting":[96],"target":[99],"low":[100],"ultra-low":[102],"power":[103],"applications.":[104],"array":[106],"Automata":[109,162],"(TA)":[110],"holds":[111],"learned":[112],"information":[113,140],"in":[114,199],"binary":[116],"form":[117],"bits:":[119],"{0,1},":[120],"excludes":[122],"includes,":[124,179],"respectively.":[125],"REDRESS":[126,185,231,258],"proposes":[127],"lossless":[129],"TA":[130,173,198],"compression":[131],"method,":[132],"include-encoding,":[135],"stores":[137],"only":[138],"includes":[143,186],"achieve":[145],"over":[146],"99%":[147],"compression.":[148],"This":[149],"enabled":[151],"by":[152],"computationally":[155],"minimal":[156],"procedure,":[158],"Re-profiling,":[163],"improve":[165],"accuracy":[167],"increase":[169],"sparsity":[171],"number":[177],"hence,":[180],"footprint.":[183],"Finally,":[184],"inherently":[188],"bit-parallel":[189],"algorithm":[191],"operates":[193],"on":[194,237,254],"optimally":[196],"trained":[197],"compressed":[201],"domain,":[202],"does":[204],"not":[205],"require":[206],"decompression":[207],"during":[208],"runtime,":[209],"obtain":[211],"high":[212],"speedups":[213,260],"when":[214],"compared":[215,266],"state-of-the-art":[218],"Binary":[219],"(BNN)":[222],"models.":[223,270],"demonstrate":[228],"approach,":[232],"outperforms":[234],"BNN":[235,269],"all":[238],"design":[239],"metrics":[240],"five":[242],"benchmark":[243],"datasets":[244],"viz.":[245],"MNIST,":[246],"CIFAR2,":[247],"KWS6,":[248],"Fashion-MNIST":[249],"Kuzushiji-MNIST.":[251],"When":[252],"implemented":[253],"STM32F746G-DISCO":[256],"microcontroller,":[257],"obtained":[259],"savings":[263],"ranging":[264],"5-5700\u00d7":[265],"different":[268]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
