{"id":"https://openalex.org/W4407949249","doi":"https://doi.org/10.1109/cdc56724.2024.10886797","title":"Domain Adaptive Safety Filters via Deep Operator Learning","display_name":"Domain Adaptive Safety Filters via Deep Operator Learning","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4407949249","doi":"https://doi.org/10.1109/cdc56724.2024.10886797"},"language":"en","primary_location":{"id":"doi:10.1109/cdc56724.2024.10886797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","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/A5114494467","display_name":"Lakshmideepakreddy Manda","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lakshmideepakreddy Manda","raw_affiliation_strings":["Johns Hopkins University, 3400 N Charles St,Department of Electrical and Computer Engineering,Baltimore,MD,21218"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, 3400 N Charles St,Department of Electrical and Computer Engineering,Baltimore,MD,21218","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011696469","display_name":"Shaoru Chen","orcid":"https://orcid.org/0000-0001-9416-0627"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaoru Chen","raw_affiliation_strings":["Microsoft Research, 300 Lafayette Street,New York,NY,10027"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, 300 Lafayette Street,New York,NY,10027","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043154223","display_name":"Mahyar Fazlyab","orcid":"https://orcid.org/0000-0001-9695-6178"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahyar Fazlyab","raw_affiliation_strings":["Johns Hopkins University, 3400 N Charles St,Department of Electrical and Computer Engineering,Baltimore,MD,21218"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, 3400 N Charles St,Department of Electrical and Computer Engineering,Baltimore,MD,21218","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114494467"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.9575,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8103156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6389","last_page":"6394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9358999729156494,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.928600013256073,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.6459587216377258},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5473929643630981},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5270388722419739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4404986500740051},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1900894045829773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6459587216377258},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5473929643630981},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5270388722419739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4404986500740051},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1900894045829773},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc56724.2024.10886797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","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":36,"referenced_works":["https://openalex.org/W2164090329","https://openalex.org/W2489231587","https://openalex.org/W2620840602","https://openalex.org/W2841721725","https://openalex.org/W2899251528","https://openalex.org/W2959078751","https://openalex.org/W2968945909","https://openalex.org/W2977676795","https://openalex.org/W3038950394","https://openalex.org/W3046925685","https://openalex.org/W3119862069","https://openalex.org/W3143034939","https://openalex.org/W3155061166","https://openalex.org/W3195647294","https://openalex.org/W4205626291","https://openalex.org/W4221153097","https://openalex.org/W4312427786","https://openalex.org/W4312847395","https://openalex.org/W4315606134","https://openalex.org/W4352977012","https://openalex.org/W4382935684","https://openalex.org/W4382936004","https://openalex.org/W4382936289","https://openalex.org/W4385451948","https://openalex.org/W4387123822","https://openalex.org/W4389403307","https://openalex.org/W4399601233","https://openalex.org/W4401416757","https://openalex.org/W4402264711","https://openalex.org/W6631190155","https://openalex.org/W6788898170","https://openalex.org/W6801468180","https://openalex.org/W6847069214","https://openalex.org/W6852397646","https://openalex.org/W6857414639","https://openalex.org/W6860812379"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Learning-based":[0],"approaches":[1],"for":[2,12],"constructing":[3],"Control":[4],"Barrier":[5],"Functions":[6],"(CBFs)":[7],"are":[8],"increasingly":[9],"being":[10],"explored":[11],"safety-critical":[13],"control":[14,81],"systems.":[15],"However,":[16],"these":[17],"methods":[18],"typically":[19],"require":[20],"complete":[21],"retraining":[22],"when":[23],"applied":[24],"to":[25,49],"unseen":[26],"environments,":[27],"limiting":[28],"their":[29],"adaptability.":[30],"To":[31],"address":[32],"this,":[33],"we":[34],"propose":[35],"a":[36,65,75],"self-supervised":[37],"deep":[38],"operator":[39],"learning":[40,55],"framework":[41,85],"that":[42],"learns":[43],"the":[44,50,56,62,72,79,98,101],"mapping":[45],"from":[46],"environmental":[47],"parameters":[48],"corresponding":[51],"CBF,":[52],"rather":[53],"than":[54],"CBF":[57,77],"directly.":[58],"Our":[59],"approach":[60],"leverages":[61],"residual":[63],"of":[64,100],"parametric":[66,76],"Partial":[67],"Differential":[68],"Equation":[69],"(PDE),":[70],"where":[71],"solution":[73],"defines":[74],"approximating":[78],"maximal":[80],"invariant":[82],"set.":[83],"This":[84],"accommodates":[86],"complex":[87],"safety":[88],"constraints,":[89],"higher":[90],"relative":[91],"degrees,":[92],"and":[93],"actuation":[94],"limits.":[95],"We":[96],"demonstrate":[97],"effectiveness":[99],"method":[102],"through":[103],"numerical":[104],"experiments":[105],"on":[106],"navigation":[107],"tasks":[108],"involving":[109],"dynamic":[110],"obstacles.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
