{"id":"https://openalex.org/W7131620822","doi":"https://doi.org/10.48550/arxiv.2602.21798","title":"Excitation: Momentum For Experts","display_name":"Excitation: Momentum For Experts","publication_year":2026,"publication_date":"2026-02-25","ids":{"openalex":"https://openalex.org/W7131620822","doi":"https://doi.org/10.48550/arxiv.2602.21798"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.21798","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060639758","display_name":"Sagi Shaier","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shaier, Sagi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5060639758"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.288100004196167,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.288100004196167,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.1535000056028366,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0632999986410141,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6051999926567078},{"id":"https://openalex.org/keywords/excitation","display_name":"Excitation","score":0.5184999704360962},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5123000144958496},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.4945000112056732},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4657000005245209},{"id":"https://openalex.org/keywords/momentum","display_name":"Momentum (technical analysis)","score":0.3993000090122223},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.3855000138282776},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.3677999973297119}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644599974155426},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6051999926567078},{"id":"https://openalex.org/C83581075","wikidata":"https://www.wikidata.org/wiki/Q1361503","display_name":"Excitation","level":2,"score":0.5184999704360962},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5123000144958496},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.4945000112056732},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4657000005245209},{"id":"https://openalex.org/C60718061","wikidata":"https://www.wikidata.org/wiki/Q1414747","display_name":"Momentum (technical analysis)","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3950999975204468},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3855000138282776},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3675000071525574},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31060001254081726},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2808000147342682},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C43091099","wikidata":"https://www.wikidata.org/wiki/Q1067788","display_name":"Through-the-lens metering","level":3,"score":0.2606000006198883}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.21798","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.21798","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.21798","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.21798","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"Excitation,":[2],"a":[3,36,59,79,142],"novel":[4],"optimization":[5],"framework":[6],"designed":[7],"to":[8,43,71],"accelerate":[9],"learning":[10],"in":[11,64,133],"sparse":[12],"architectures":[13],"such":[14],"as":[15,78],"Mixture-of-Experts":[16],"(MoEs).":[17],"Unlike":[18],"traditional":[19],"optimizers":[20,69],"that":[21,40,137],"treat":[22],"all":[23],"parameters":[24],"uniformly,":[25],"Excitation":[26,76,93,125],"dynamically":[27],"modulates":[28],"updates":[29,42],"using":[30],"batch-level":[31],"expert":[32],"utilization.":[33],"It":[34],"introduces":[35,104],"competitive":[37],"update":[38,139],"dynamic":[39],"amplifies":[41],"highly-utilized":[44],"experts":[45],"and":[46,85,97,103,122,130],"can":[47],"selectively":[48],"suppress":[49],"low-utilization":[50],"ones,":[51],"effectively":[52],"sharpening":[53],"routing":[54],"specialization.":[55],"Notably,":[56],"we":[57],"identify":[58],"phenomenon":[60],"of":[61],"\"structural":[62],"confusion\"":[63],"deep":[65],"MoEs,":[66],"where":[67,89],"standard":[68],"fail":[70],"establish":[72],"functional":[73],"signal":[74],"paths;":[75],"acts":[77],"specialization":[80],"catalyst,":[81],"\"rescuing\"":[82],"these":[83],"models":[84],"enabling":[86],"stable":[87],"training":[88],"baselines":[90],"remain":[91],"trapped.":[92],"is":[94,141],"optimizer-,":[95],"domain-,":[96],"model-agnostic,":[98],"requires":[99],"minimal":[100],"integration":[101],"effort,":[102],"neither":[105],"additional":[106],"per-parameter":[107],"optimizer":[108],"state":[109],"nor":[110],"learnable":[111],"parameters,":[112],"making":[113],"it":[114],"highly":[115],"viable":[116],"for":[117,145],"memory-constrained":[118],"settings.":[119],"Across":[120],"language":[121],"vision":[123],"tasks,":[124],"consistently":[126],"improves":[127],"convergence":[128],"speed":[129],"final":[131],"performance":[132],"MoE":[134],"models,":[135],"indicating":[136],"active":[138],"modulation":[140],"key":[143],"mechanism":[144],"effective":[146],"conditional":[147],"computation.":[148]},"counts_by_year":[],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2026-02-27T00:00:00"}