{"id":"https://openalex.org/W4372260096","doi":"https://doi.org/10.1109/icassp49357.2023.10096199","title":"Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model","display_name":"Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260096","doi":"https://doi.org/10.1109/icassp49357.2023.10096199"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029468076","display_name":"Junhao Hu","orcid":"https://orcid.org/0000-0003-3538-2785"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junhao Hu","raw_affiliation_strings":["Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036830065","display_name":"Shirin Shoushtari","orcid":"https://orcid.org/0000-0003-0654-6760"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shirin Shoushtari","raw_affiliation_strings":["Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103251251","display_name":"Zihao Zou","orcid":"https://orcid.org/0000-0001-6429-2397"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zihao Zou","raw_affiliation_strings":["Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440970","display_name":"Jiaming Liu","orcid":"https://orcid.org/0000-0002-1042-4443"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaming Liu","raw_affiliation_strings":["Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100556981","display_name":"Zhixin Sun","orcid":"https://orcid.org/0000-0001-9701-9362"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhixin Sun","raw_affiliation_strings":["Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024602237","display_name":"Ulugbek S. Kamilov","orcid":"https://orcid.org/0000-0001-6770-3278"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ulugbek S. Kamilov","raw_affiliation_strings":["Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Computational Imaging Group (CIG),MO,USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Computational Imaging Group (CIG), Washington University in St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":2.2432,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.91564148,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.994700014591217,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9898999929428101,"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/prior-probability","display_name":"Prior probability","score":0.8785393238067627},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8291287422180176},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.6296901106834412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5996273159980774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5476148128509521},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.41996246576309204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22856974601745605},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.12106147408485413}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8785393238067627},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8291287422180176},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6296901106834412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5996273159980774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5476148128509521},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.41996246576309204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22856974601745605},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.12106147408485413},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":31,"referenced_works":["https://openalex.org/W2021636606","https://openalex.org/W2029816571","https://openalex.org/W2038281434","https://openalex.org/W2087416986","https://openalex.org/W2100705753","https://openalex.org/W2121927366","https://openalex.org/W2142224912","https://openalex.org/W2508457857","https://openalex.org/W2573726823","https://openalex.org/W2762685704","https://openalex.org/W2765431787","https://openalex.org/W2773850766","https://openalex.org/W2782977076","https://openalex.org/W2798559986","https://openalex.org/W3021094251","https://openalex.org/W3098900881","https://openalex.org/W3099887894","https://openalex.org/W3100730608","https://openalex.org/W3133902371","https://openalex.org/W3141595720","https://openalex.org/W3167568784","https://openalex.org/W3179592584","https://openalex.org/W3202187012","https://openalex.org/W3206211787","https://openalex.org/W4226105881","https://openalex.org/W4281777911","https://openalex.org/W4312621759","https://openalex.org/W6782655014","https://openalex.org/W6802085914","https://openalex.org/W6810567493","https://openalex.org/W6838898730"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W2331917905","https://openalex.org/W3155039083"],"abstract_inverted_index":{"Deep":[0],"model-based":[1],"architectures":[2],"(DMBAs)":[3],"are":[4,28],"widely":[5],"used":[6],"in":[7,48,60,83,100],"imaging":[8,108],"inverse":[9,109],"problems":[10,110],"to":[11,81,88,98],"integrate":[12],"physical":[13],"measurement":[14,56,85,102,118],"models":[15,26,86,119],"and":[16,23],"learned":[17],"image":[18,46,67,121],"priors.":[19],"Plug-and-play":[20],"priors":[21,97,114],"(PnP)":[22],"deep":[24],"equilibrium":[25],"(DEQ)":[27],"two":[29,42,107],"DMBA":[30],"frameworks":[31],"that":[32,44,59,76,112],"have":[33],"received":[34],"significant":[35],"attention.":[36],"The":[37],"key":[38],"difference":[39,70],"between":[40],"the":[41,45,84,93,101],"is":[43,50,62,71,78],"prior":[47],"DEQ":[49,96,113],"trained":[51,63,115],"by":[52],"using":[53],"a":[54,65,73],"specific":[55],"model,":[57],"while":[58],"PnP":[61,77],"as":[64],"general":[66],"denoiser.":[68],"This":[69,90],"behind":[72],"common":[74],"assumption":[75],"more":[79],"robust":[80],"changes":[82,99],"compared":[87],"DEQ.":[89],"paper":[91],"investigates":[92],"robustness":[94],"of":[95],"models.":[103],"Our":[104],"results":[105],"on":[106],"suggest":[111],"under":[116],"mismatched":[117],"outperform":[120],"denoisers.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
