{"id":"https://openalex.org/W4400276943","doi":"https://doi.org/10.1109/icoin59985.2024.10572090","title":"Efficient and Effective INR: A Dive into Levels-of-Experts (LoE) and Sine Activation","display_name":"Efficient and Effective INR: A Dive into Levels-of-Experts (LoE) and Sine Activation","publication_year":2024,"publication_date":"2024-01-17","ids":{"openalex":"https://openalex.org/W4400276943","doi":"https://doi.org/10.1109/icoin59985.2024.10572090"},"language":"en","primary_location":{"id":"doi:10.1109/icoin59985.2024.10572090","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icoin59985.2024.10572090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Information Networking (ICOIN)","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/A5099980933","display_name":"Md Atikuzzaman","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Md Atikuzzaman","raw_affiliation_strings":["Kyung Hee University,Department of Artificial Intelligence,Yongin-si,Republic of Korea,17104"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Artificial Intelligence,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005200603","display_name":"Sung\u2010Ho Bae","orcid":"https://orcid.org/0000-0003-2677-3186"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Ho Bae","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea,17104"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35928602"],"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":"35","issue":null,"first_page":"496","last_page":"499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9708999991416931,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9708999991416931,"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/T10320","display_name":"Neural Networks and Applications","score":0.9692999720573425,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/computer-science","display_name":"Computer science","score":0.5157442688941956},{"id":"https://openalex.org/keywords/sine","display_name":"Sine","score":0.49941158294677734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14699038863182068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5157442688941956},{"id":"https://openalex.org/C186661526","wikidata":"https://www.wikidata.org/wiki/Q13647261","display_name":"Sine","level":2,"score":0.49941158294677734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14699038863182068},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin59985.2024.10572090","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icoin59985.2024.10572090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2015159529","https://openalex.org/W2999905431","https://openalex.org/W3152559858","https://openalex.org/W3180799285","https://openalex.org/W4200150166","https://openalex.org/W4287756134","https://openalex.org/W4313147859","https://openalex.org/W6779753539","https://openalex.org/W6780179280","https://openalex.org/W6797179183"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Implicit":[0],"neural":[1,68,100],"representations":[2,69],"have":[3,79],"emerged":[4],"as":[5],"a":[6,60],"transformative":[7],"approach":[8,130],"in":[9,88,92],"machine":[10],"learning":[11],"and":[12,18,28,76,135],"computer":[13],"graphics,":[14],"enabling":[15],"the":[16,45,82,95,98,108,114,119],"generation":[17],"manipulation":[19],"of":[20,48,97,138],"intricate":[21],"data":[22],"domains":[23],"including":[24],"images,":[25],"3D":[26],"models,":[27],"physical":[29],"simulations.":[30],"However,":[31],"scaling":[32],"INRs":[33],"to":[34,44,72],"large":[35,140],"datasets":[36,141],"or":[37,142],"high-resolution":[38,143],"signals":[39,144],"poses":[40],"significant":[41],"challenges":[42],"due":[43],"exponential":[46],"growth":[47],"network":[49],"parameters":[50],"with":[51,85,113],"input":[52],"space":[53],"size.":[54],"In":[55],"this":[56,104],"study,":[57],"we":[58,106],"introduce":[59],"method":[61],"based":[62],"on":[63],"Levels-of-Experts":[64],"(LoE)":[65],"for":[66,121],"implicit":[67,99],"that":[70,81],"proves":[71],"be":[73],"more":[74],"efficient":[75],"promising.":[77],"We":[78],"identified":[80],"activation":[83,111,116],"associated":[84],"LoE":[86],"results":[87],"sharp":[89],"discontinuities,":[90],"which":[91],"turn":[93],"diminish":[94],"performance":[96],"representations.":[101],"To":[102],"tackle":[103],"problem,":[105],"substituted":[107],"Leaky":[109],"ReLU":[110],"function":[112],"Sine":[115],"function,":[117],"without":[118],"need":[120],"any":[122],"additional":[123],"initialization":[124],"schemes.":[125],"This":[126],"straightforward":[127],"yet":[128],"potent":[129],"surpasses":[131],"many":[132],"previous":[133],"techniques":[134],"is":[136],"capable":[137],"representing":[139],"effectively.":[145]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
