{"id":"https://openalex.org/W7131862675","doi":"https://doi.org/10.48550/arxiv.2602.22702","title":"Knob: A Physics-Inspired Gating Interface for Interpretable and Controllable Neural Dynamics","display_name":"Knob: A Physics-Inspired Gating Interface for Interpretable and Controllable Neural Dynamics","publication_year":2026,"publication_date":"2026-02-26","ids":{"openalex":"https://openalex.org/W7131862675","doi":"https://doi.org/10.48550/arxiv.2602.22702"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.22702","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","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/A5127422289","display_name":"Siyu Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jiang, Siyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015462564","display_name":"Sanshuai Cui","orcid":"https://orcid.org/0000-0002-4709-5786"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cui, Sanshuai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127459832","display_name":"Hui Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Hui","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5127422289"],"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.8087999820709229,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.8087999820709229,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.051600001752376556,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.031700000166893005,"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/calibration","display_name":"Calibration","score":0.6895999908447266},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6460999846458435},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.6413999795913696},{"id":"https://openalex.org/keywords/gating","display_name":"Gating","score":0.44769999384880066},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4185999929904938},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3625999987125397},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.3447999954223633}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6895999908447266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6851999759674072},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6460999846458435},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.6413999795913696},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.44769999384880066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44749999046325684},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3188999891281128},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.31290000677108765},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.2840999960899353},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.28130000829696655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2759000062942505},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.26030001044273376}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.22702","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.22702","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.22702","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.22702","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","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":{"Existing":[0],"neural":[1,63,87],"network":[2],"calibration":[3,7,180,187],"methods":[4,27],"often":[5],"treat":[6],"as":[8,104],"a":[9,51,67,91,99,130],"static,":[10],"post-hoc":[11],"optimization":[12],"task.":[13],"However,":[14],"this":[15,46],"neglects":[16],"the":[17,169,186,195,211],"dynamic":[18],"and":[19,81,86,139,152,171,189,207],"temporal":[20],"nature":[21],"of":[22],"real-world":[23],"inference.":[24],"Moreover,":[25],"existing":[26],"do":[28],"not":[29],"provide":[30],"an":[31,105,161],"intuitive":[32],"interface":[33],"enabling":[34],"human":[35],"operators":[36,148],"to":[37,66,111,149],"dynamically":[38],"adjust":[39],"model":[40,113,117],"behavior":[41],"under":[42],"shifting":[43],"conditions.":[44],"In":[45],"work,":[47],"we":[48,89,128,165],"propose":[49],"Knob,":[50],"framework":[52,146],"that":[53],"connects":[54],"deep":[55],"learning":[56],"with":[57,200],"classical":[58],"control":[59,203],"theory":[60],"by":[61,123],"mapping":[62],"gating":[64],"dynamics":[65,126],"second-order":[68,125,202],"mechanical":[69],"system.":[70],"By":[71],"establishing":[72],"correspondences":[73],"between":[74],"physical":[75,156],"parameters":[76],"--":[77,85],"damping":[78],"ratio":[79],"($\u03b6$)":[80],"natural":[82],"frequency":[83],"($\u03c9_n$)":[84],"gating,":[88],"create":[90],"tunable":[92],"\"safety":[93],"valve\".":[94],"The":[95],"core":[96],"mechanism":[97,188],"employs":[98],"logit-level":[100],"convex":[101],"fusion,":[102],"functioning":[103],"input-adaptive":[106],"temperature":[107],"scaling.":[108],"It":[109],"tends":[110],"reduce":[112],"confidence":[114],"particularly":[115],"when":[116],"branches":[118],"produce":[119],"conflicting":[120],"predictions.":[121],"Furthermore,":[122],"imposing":[124],"(Knob-ODE),":[127],"enable":[129],"\\textit{dual-mode}":[131],"inference:":[132],"standard":[133,201],"i.i.d.":[134],"processing":[135,141],"for":[136,142,213],"static":[137],"tasks,":[138],"state-preserving":[140],"continuous":[143],"streams.":[144],"Our":[145],"allows":[147],"tune":[150],"\"stability\"":[151],"\"sensitivity\"":[153],"through":[154],"familiar":[155],"analogues.":[157],"This":[158],"paper":[159],"presents":[160],"exploratory":[162],"architectural":[163],"interface;":[164],"focus":[166],"on":[167,183],"demonstrating":[168],"concept":[170],"validating":[172],"its":[173],"control-theoretic":[174],"properties":[175],"rather":[176],"than":[177],"claiming":[178],"state-of-the-art":[179],"performance.":[181],"Experiments":[182],"CIFAR-10-C":[184],"validate":[185],"demonstrate":[190],"that,":[191],"in":[192],"Continuous":[193],"Mode,":[194],"gate":[196],"responses":[197],"are":[198],"consistent":[199],"signatures":[204],"(step":[205],"settling":[206],"low-pass":[208],"attenuation),":[209],"paving":[210],"way":[212],"predictable":[214],"human-in-the-loop":[215],"tuning.":[216]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-28T00:00:00"}