{"id":"https://openalex.org/W4413887168","doi":"https://doi.org/10.1109/lsp.2025.3604690","title":"Stabilizing RED Using the Koopman Operator","display_name":"Stabilizing RED Using the Koopman Operator","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413887168","doi":"https://doi.org/10.1109/lsp.2025.3604690"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3604690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3604690","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.05736","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062742247","display_name":"Shraddha Chavan","orcid":"https://orcid.org/0009-0004-3561-3509"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shraddha Chavan","raw_affiliation_strings":["Indian Institute of Science, Bengaluru, India"],"raw_orcid":"https://orcid.org/0009-0004-3561-3509","affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bengaluru, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045035201","display_name":"Kunal N. Chaudhury","orcid":"https://orcid.org/0000-0002-8136-605X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kunal N. Chaudhury","raw_affiliation_strings":["Indian Institute of Science, Bengaluru, India"],"raw_orcid":"https://orcid.org/0000-0002-8136-605X","affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bengaluru, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20776311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"3565","last_page":"3569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11751","display_name":"Lattice Boltzmann Simulation Studies","score":0.6381999850273132,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11751","display_name":"Lattice Boltzmann Simulation Studies","score":0.6381999850273132,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.5898000001907349,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5459082126617432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5253077149391174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3360046148300171},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33045095205307007}],"concepts":[{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5459082126617432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5253077149391174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3360046148300171},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33045095205307007},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2025.3604690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3604690","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2509.05736","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.05736","pdf_url":"https://arxiv.org/pdf/2509.05736","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.05736","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.05736","pdf_url":"https://arxiv.org/pdf/2509.05736","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1997054581","https://openalex.org/W2014356541","https://openalex.org/W2067035505","https://openalex.org/W2078898317","https://openalex.org/W2094686470","https://openalex.org/W2103559027","https://openalex.org/W2138204001","https://openalex.org/W2157300063","https://openalex.org/W2164954534","https://openalex.org/W2296055064","https://openalex.org/W2508457857","https://openalex.org/W2510030309","https://openalex.org/W2564520718","https://openalex.org/W2573726823","https://openalex.org/W2594932112","https://openalex.org/W2805167149","https://openalex.org/W3035446378","https://openalex.org/W3118064383","https://openalex.org/W3167568784","https://openalex.org/W3196943155","https://openalex.org/W3200625292","https://openalex.org/W3207918547","https://openalex.org/W4225672218","https://openalex.org/W4312788179","https://openalex.org/W4385804996","https://openalex.org/W4390977353","https://openalex.org/W4392903563","https://openalex.org/W4392904281","https://openalex.org/W4393130988","https://openalex.org/W4402753503","https://openalex.org/W4402952320"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"The":[0],"widely":[1],"used":[2,75],"RED":[3,16,41,64],"(Regularization-by-Denoising)":[4],"framework":[5],"uses":[6],"pretrained":[7,100],"denoisers":[8,25,101],"as":[9],"implicit":[10],"regularizers":[11],"for":[12,49],"model-based":[13],"reconstruction.":[14],"Although":[15],"generally":[17],"yields":[18],"high-fidelity":[19],"reconstructions,":[20],"the":[21,43,56,60,104,107],"use":[22,55],"of":[23,63,106],"black-box":[24],"can":[26],"sometimes":[27],"lead":[28],"to":[29,39,58,76,102],"instability.":[30],"In":[31],"this":[32,97],"letter,":[33],"we":[34,54],"propose":[35],"a":[36,46,66],"data-driven":[37],"mechanism":[38],"stabilize":[40],"using":[42],"Koopman":[44,109],"operator,":[45],"classical":[47],"tool":[48],"analyzing":[50],"dynamical":[51],"systems.":[52],"Specifically,":[53],"operator":[57],"capture":[59],"local":[61],"dynamics":[62],"in":[65],"low-dimensional":[67],"feature":[68],"space,":[69],"and":[70,79,91],"its":[71],"spectral":[72],"radius":[73],"is":[74,86],"detect":[77],"instability":[78],"formulate":[80],"an":[81],"adaptive":[82],"step-size":[83],"rule":[84],"that":[85],"model-agnostic,":[87],"has":[88],"modest":[89],"overhead,":[90],"requires":[92],"no":[93],"retraining.":[94],"We":[95],"test":[96],"with":[98],"several":[99],"demonstrate":[103],"effectiveness":[105],"proposed":[108],"stabilization.":[110]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}