{"id":"https://openalex.org/W4400036063","doi":"https://doi.org/10.1109/pcs60826.2024.10566409","title":"Fourier Basis Density Model","display_name":"Fourier Basis Density Model","publication_year":2024,"publication_date":"2024-06-12","ids":{"openalex":"https://openalex.org/W4400036063","doi":"https://doi.org/10.1109/pcs60826.2024.10566409"},"language":"en","primary_location":{"id":"doi:10.1109/pcs60826.2024.10566409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs60826.2024.10566409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Picture Coding Symposium (PCS)","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/A5101386544","display_name":"Alfredo De La Fuente","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alfredo De La Fuente","raw_affiliation_strings":["Google,New York,NY,USA,10011"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google,New York,NY,USA,10011","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020805724","display_name":"Saurabh Singh","orcid":"https://orcid.org/0000-0001-6974-3142"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurabh Singh","raw_affiliation_strings":["Google Research,Mountain View,CA,USA,94043"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research,Mountain View,CA,USA,94043","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026518815","display_name":"Johannes Ball\u00e9","orcid":"https://orcid.org/0000-0003-0769-8985"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jona Ball\u00e9","raw_affiliation_strings":["Google Research,New York,NY,USA,10011"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research,New York,NY,USA,10011","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59853437,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.4410000145435333,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.4410000145435333,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.11150000244379044,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.050200000405311584,"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/basis","display_name":"Basis (linear algebra)","score":0.6078773140907288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5499571561813354},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.43411922454833984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18703535199165344},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0902787446975708},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07129552960395813}],"concepts":[{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.6078773140907288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5499571561813354},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.43411922454833984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18703535199165344},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0902787446975708},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07129552960395813}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs60826.2024.10566409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs60826.2024.10566409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Picture Coding Symposium (PCS)","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":8,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2118020555","https://openalex.org/W2949361041","https://openalex.org/W2964098744","https://openalex.org/W2977466517","https://openalex.org/W3095497211","https://openalex.org/W4367465468","https://openalex.org/W6754634825"],"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":{"We":[0,17],"introduce":[1],"a":[2,13,23,48,53,65],"lightweight,":[3],"flexible":[4],"and":[5],"end-to-end":[6],"trainable":[7],"probability":[8],"density":[9],"model":[10,41,46],"parameterized":[11],"by":[12],"constrained":[14],"Fourier":[15],"basis.":[16],"assess":[18],"its":[19,70],"performance":[20],"at":[21,52],"approximating":[22],"range":[24],"of":[25],"multimodal":[26],"1D":[27],"densities,":[28],"which":[29],"are":[30],"generally":[31],"difficult":[32],"to":[33,37],"fit.":[34],"In":[35,57],"comparison":[36],"the":[38],"deep":[39],"factorized":[40],"introduced":[42],"in":[43,72],"[1],":[44],"our":[45,62],"achieves":[47],"lower":[49],"cross":[50],"entropy":[51],"similar":[54],"computational":[55],"budget.":[56],"addition,":[58],"we":[59],"also":[60],"evaluate":[61],"method":[63],"on":[64],"toy":[66],"compression":[67],"task,":[68],"demonstrating":[69],"utility":[71],"learned":[73],"compression.":[74]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}