{"id":"https://openalex.org/W4403814294","doi":"https://doi.org/10.48550/arxiv.2409.19772","title":"PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond","display_name":"PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond","publication_year":2024,"publication_date":"2024-09-29","ids":{"openalex":"https://openalex.org/W4403814294","doi":"https://doi.org/10.48550/arxiv.2409.19772"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2409.19772","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.19772","pdf_url":"https://arxiv.org/pdf/2409.19772","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2409.19772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103672158","display_name":"Chen Song","orcid":"https://orcid.org/0009-0006-2440-0959"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071706715","display_name":"Zhenxiao Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Zhenxiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101758845","display_name":"Bo Sun","orcid":"https://orcid.org/0000-0003-1280-1959"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Bo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056540212","display_name":"Qixing Huang","orcid":"https://orcid.org/0000-0001-6365-8051"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Qixing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9337999820709229,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9337999820709229,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9300000071525574,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9068999886512756,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/parametric-statistics","display_name":"Parametric statistics","score":0.6420448422431946},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5913407206535339},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.5294392108917236},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.42629408836364746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42418673634529114},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.41149836778640747},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3442419171333313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2980712056159973},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15498191118240356},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14516550302505493},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08679154515266418},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07258662581443787},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.05033975839614868}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6420448422431946},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5913407206535339},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.5294392108917236},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.42629408836364746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42418673634529114},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.41149836778640747},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3442419171333313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2980712056159973},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15498191118240356},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14516550302505493},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08679154515266418},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07258662581443787},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.05033975839614868}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2409.19772","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.19772","pdf_url":"https://arxiv.org/pdf/2409.19772","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2409.19772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2409.19772","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2409.19772","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.19772","pdf_url":"https://arxiv.org/pdf/2409.19772","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403814294.pdf","grobid_xml":"https://content.openalex.org/works/W4403814294.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2133947431","https://openalex.org/W2289718384","https://openalex.org/W2490196280","https://openalex.org/W3182827720","https://openalex.org/W1596838019","https://openalex.org/W3208509670","https://openalex.org/W1995675544","https://openalex.org/W2109304297","https://openalex.org/W2100864966","https://openalex.org/W2509524819"],"abstract_inverted_index":{"We":[0,42],"present":[1],"Parametric":[2],"Piecewise":[3],"Linear":[4],"Networks":[5,80],"(PPLNs)":[6],"for":[7,24],"temporal":[8],"vision":[9,93],"inference.":[10],"Motivated":[11],"by":[12,28,54,78],"the":[13,39,47,66,84],"neuromorphic":[14],"principles":[15],"that":[16],"regulate":[17],"biological":[18],"neural":[19,36],"behaviors,":[20],"PPLNs":[21,88],"are":[22,32],"ideal":[23],"processing":[25],"data":[26],"captured":[27],"event":[29],"cameras,":[30],"which":[31],"built":[33],"to":[34,45],"simulate":[35],"activities":[37],"in":[38,89],"human":[40,98],"retina.":[41],"discuss":[43],"how":[44],"represent":[46],"membrane":[48],"potential":[49],"of":[50,68,87,107],"an":[51],"artificial":[52],"neuron":[53],"a":[55],"parametric":[56,74],"piecewise":[57],"linear":[58],"function":[59],"with":[60],"learnable":[61,73],"coefficients.":[62],"This":[63],"design":[64],"echoes":[65],"idea":[67],"building":[69],"deep":[70],"models":[71],"from":[72],"functions":[75],"recently":[76],"popularized":[77],"Kolmogorov-Arnold":[79],"(KANs).":[81],"Experiments":[82],"demonstrate":[83],"state-of-the-art":[85],"performance":[86],"event-based":[90],"and":[91,101],"image-based":[92],"applications,":[94],"including":[95],"steering":[96],"prediction,":[97],"pose":[99],"estimation,":[100],"motion":[102],"deblurring.":[103],"The":[104],"source":[105],"code":[106],"our":[108],"implementation":[109],"is":[110],"available":[111],"at":[112],"https://github.com/chensong1995/PPLN.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2024-10-28T00:00:00"}