{"id":"https://openalex.org/W7106122885","doi":"https://doi.org/10.1109/iccad66269.2025.11240790","title":"M3: Mamba-assisted Multi-Circuit Optimization via Model-based RL with Effective Scheduling","display_name":"M3: Mamba-assisted Multi-Circuit Optimization via Model-based RL with Effective Scheduling","publication_year":2025,"publication_date":"2025-10-26","ids":{"openalex":"https://openalex.org/W7106122885","doi":"https://doi.org/10.1109/iccad66269.2025.11240790"},"language":null,"primary_location":{"id":"doi:10.1109/iccad66269.2025.11240790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad66269.2025.11240790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","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":null,"display_name":"Youngmin Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Youngmin Oh","raw_affiliation_strings":["Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinje Park","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinje Park","raw_affiliation_strings":["Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Taejin Paik","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taejin Paik","raw_affiliation_strings":["Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Seunggeun Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]},{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Seunggeun Kim","raw_affiliation_strings":["Samsung Electronics","The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Suwan Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Suwan Kim","raw_affiliation_strings":["Samsung Electronics","The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yoon Hyeok Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoon Hyeok Lee","raw_affiliation_strings":["Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":null,"display_name":"David Z. Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Z. Pan","raw_affiliation_strings":["The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51452814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.7379000186920166,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.7379000186920166,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.0551999993622303,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.0348999984562397,"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/network-topology","display_name":"Network topology","score":0.613099992275238},{"id":"https://openalex.org/keywords/bespoke","display_name":"Bespoke","score":0.5946000218391418},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5540000200271606},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5149000287055969},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4325000047683716},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.3418000042438507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7513999938964844},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.613099992275238},{"id":"https://openalex.org/C44210515","wikidata":"https://www.wikidata.org/wiki/Q16968978","display_name":"Bespoke","level":2,"score":0.5946000218391418},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5540000200271606},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5149000287055969},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4325000047683716},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28119999170303345},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.275299996137619},{"id":"https://openalex.org/C29074008","wikidata":"https://www.wikidata.org/wiki/Q174925","display_name":"Analogue electronics","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.26989999413490295}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad66269.2025.11240790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad66269.2025.11240790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2951360122","https://openalex.org/W3036532492","https://openalex.org/W3091933103","https://openalex.org/W3092618035","https://openalex.org/W4213019189","https://openalex.org/W4387169268","https://openalex.org/W4392972103","https://openalex.org/W4401568693","https://openalex.org/W4404133818","https://openalex.org/W4404134159","https://openalex.org/W4415795263"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2],"neural":[3],"network":[4],"architectures,":[5],"such":[6],"as":[7,83],"the":[8,75,88,148],"Transformer,":[9],"have":[10],"enabled":[11],"a":[12,49,78,84,95,152],"shift":[13],"from":[14],"task-specific":[15,69],"models":[16,37],"to":[17,39,63,87,103,132,143],"unified":[18,51,153],"foundation":[19],"models,":[20],"significantly":[21],"enhancing":[22],"generalization":[23],"and":[24,109,161],"scalability.":[25],"In":[26],"contrast,":[27],"analog":[28],"circuit":[29],"design":[30],"has":[31],"traditionally":[32],"relied":[33],"on":[34],"bespoke":[35],"optimization":[36],"tailored":[38],"individual":[40],"circuits.":[41],"To":[42],"address":[43],"this":[44],"gap,":[45],"we":[46],"propose":[47],"M3,":[48],"novel":[50,107],"reinforcement":[52],"learning":[53],"(RL)":[54],"that":[55,99,117],"concurrently":[56],"optimizes":[57],"multiple":[58,127],"circuits":[59,157],"with":[60,94],"different":[61,130],"topologies":[62,160],"meet":[64],"target":[65,134,162],"specifications,":[66],"without":[67],"requiring":[68],"adjustments.":[70],"The":[71],"M3":[72,118],"framework":[73],"employs":[74],"Mamba":[76],"architecture,":[77],"recently":[79],"emerging":[80],"model":[81,154],"regarded":[82],"potential":[85,149],"alternative":[86],"Transformer.":[89],"It":[90],"combines":[91],"model-based":[92],"RL":[93,101,121],"dynamic":[96],"scheduling":[97],"mechanism":[98],"adapts":[100],"parameters":[102],"balance":[104],"exploration":[105],"(seeking":[106],"designs)":[108],"exploitation":[110],"(refining":[111],"existing":[112],"ones).":[113],"Experimental":[114],"results":[115],"demonstrate":[116],"successfully":[119],"trains":[120],"agents":[122],"capable":[123],"of":[124,150],"simultaneously":[125],"optimizing":[126,156],"circuits,":[128],"having":[129],"topologies,":[131],"achieve":[133],"performance":[135],"levels":[136],"while":[137],"prior":[138],"RL-based":[139],"methods":[140],"are":[141],"unable":[142],"do.":[144],"This":[145],"approach":[146],"highlights":[147],"developing":[151],"for":[155],"across":[158],"varying":[159],"specifications<sup":[163],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[164],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>.":[165]},"counts_by_year":[],"updated_date":"2025-11-23T05:10:03.516525","created_date":"2025-11-20T00:00:00"}