{"id":"https://openalex.org/W4403317023","doi":"https://doi.org/10.1017/s0963548324000282","title":"Sampling repulsive Gibbs point processes using random graphs","display_name":"Sampling repulsive Gibbs point processes using random graphs","publication_year":2024,"publication_date":"2024-10-11","ids":{"openalex":"https://openalex.org/W4403317023","doi":"https://doi.org/10.1017/s0963548324000282"},"language":"en","primary_location":{"id":"doi:10.1017/s0963548324000282","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0963548324000282","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/7F4628A3DC527C5E91FBE95247E5B4D0/S0963548324000282a.pdf/div-class-title-sampling-repulsive-gibbs-point-processes-using-random-graphs-div.pdf","source":{"id":"https://openalex.org/S7291079","display_name":"Combinatorics Probability Computing","issn_l":"0963-5483","issn":["0963-5483","1469-2163"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Combinatorics, Probability and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/7F4628A3DC527C5E91FBE95247E5B4D0/S0963548324000282a.pdf/div-class-title-sampling-repulsive-gibbs-point-processes-using-random-graphs-div.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077389210","display_name":"Tobias Friedrich","orcid":"https://orcid.org/0000-0003-0076-6308"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Friedrich","raw_affiliation_strings":["Hasso Plattner Institute, University of Potsdam, Potsdam, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0076-6308","affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute, University of Potsdam, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004370380","display_name":"Andreas G\u00f6bel","orcid":"https://orcid.org/0000-0002-5180-7205"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andreas G\u00f6bel","raw_affiliation_strings":["Hasso Plattner Institute, University of Potsdam, Potsdam, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5180-7205","affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute, University of Potsdam, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090479052","display_name":"Maximilian Katzmann","orcid":"https://orcid.org/0000-0002-9302-5527"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Katzmann","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056585957","display_name":"Martin S. Krejca","orcid":"https://orcid.org/0000-0002-1765-1219"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210139461","display_name":"Laboratoire d'Informatique de l'\u00c9cole Polytechnique","ror":"https://ror.org/04afed728","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I142476485","https://openalex.org/I4210139461","https://openalex.org/I4210145102","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Martin S. Krejca","raw_affiliation_strings":["Laboratoire d\u2019Informatique (LIX), CNRS, \u00c9cole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France","Laboratoire d'Informatique (LIX), CNRS, \u00c9cole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France"],"raw_orcid":"https://orcid.org/0000-0002-1765-1219","affiliations":[{"raw_affiliation_string":"Laboratoire d\u2019Informatique (LIX), CNRS, \u00c9cole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France","institution_ids":["https://openalex.org/I4210139461","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Laboratoire d'Informatique (LIX), CNRS, \u00c9cole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France","institution_ids":["https://openalex.org/I4210139461","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053395018","display_name":"Marcus Pappik","orcid":"https://orcid.org/0000-0002-2480-3073"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcus Pappik","raw_affiliation_strings":["Hasso Plattner Institute, University of Potsdam, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute, University of Potsdam, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004370380"],"corresponding_institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"],"apc_list":null,"apc_paid":null,"fwci":0.9367,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74748216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"34","issue":"1","first_page":"63","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.6839449405670166},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.5863907933235168},{"id":"https://openalex.org/keywords/random-graph","display_name":"Random graph","score":0.5307466983795166},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.5192465782165527},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4743470251560211},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4310625493526459},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42145997285842896},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36671268939971924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33660101890563965},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.32612890005111694},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.25219619274139404},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.1367928385734558},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07071053981781006},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.05876949429512024}],"concepts":[{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.6839449405670166},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.5863907933235168},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.5307466983795166},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.5192465782165527},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4743470251560211},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4310625493526459},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42145997285842896},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36671268939971924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33660101890563965},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.32612890005111694},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.25219619274139404},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.1367928385734558},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07071053981781006},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.05876949429512024},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s0963548324000282","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0963548324000282","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/7F4628A3DC527C5E91FBE95247E5B4D0/S0963548324000282a.pdf/div-class-title-sampling-repulsive-gibbs-point-processes-using-random-graphs-div.pdf","source":{"id":"https://openalex.org/S7291079","display_name":"Combinatorics Probability Computing","issn_l":"0963-5483","issn":["0963-5483","1469-2163"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Combinatorics, Probability and Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1017/s0963548324000282","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0963548324000282","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/7F4628A3DC527C5E91FBE95247E5B4D0/S0963548324000282a.pdf/div-class-title-sampling-repulsive-gibbs-point-processes-using-random-graphs-div.pdf","source":{"id":"https://openalex.org/S7291079","display_name":"Combinatorics Probability Computing","issn_l":"0963-5483","issn":["0963-5483","1469-2163"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Combinatorics, Probability and Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403317023.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W3591728","https://openalex.org/W273178449","https://openalex.org/W1504223551","https://openalex.org/W1519516901","https://openalex.org/W1965268390","https://openalex.org/W1987851121","https://openalex.org/W1991933201","https://openalex.org/W1992068214","https://openalex.org/W2004724832","https://openalex.org/W2012834186","https://openalex.org/W2017855469","https://openalex.org/W2051616786","https://openalex.org/W2056760934","https://openalex.org/W2073701424","https://openalex.org/W2088847343","https://openalex.org/W2106668810","https://openalex.org/W2142477181","https://openalex.org/W2785114380","https://openalex.org/W2999968466","https://openalex.org/W3099362972","https://openalex.org/W3135924815","https://openalex.org/W3147302106","https://openalex.org/W4210631930","https://openalex.org/W4213070169","https://openalex.org/W4226315225","https://openalex.org/W4243473133","https://openalex.org/W4245734854","https://openalex.org/W4291327285","https://openalex.org/W4293771813","https://openalex.org/W4300033161","https://openalex.org/W4385762570","https://openalex.org/W4403317023","https://openalex.org/W6648413822","https://openalex.org/W6747969435","https://openalex.org/W6804257553","https://openalex.org/W6843569815"],"related_works":["https://openalex.org/W3146360815","https://openalex.org/W1570787356","https://openalex.org/W208520381","https://openalex.org/W1863602751","https://openalex.org/W3037216507","https://openalex.org/W4233378595","https://openalex.org/W2989848887","https://openalex.org/W2970389665","https://openalex.org/W4387389613","https://openalex.org/W1586180564"],"abstract_inverted_index":{"Abstract":[0],"We":[1,23,62],"study":[2],"computational":[3],"aspects":[4],"of":[5,14,21,45,68,84,98,122,133],"repulsive":[6],"Gibbs":[7,30,86,109],"point":[8,31,48,87,110],"processes,":[9],"which":[10],"are":[11],"probabilistic":[12],"models":[13],"interacting":[15],"particles":[16],"in":[17],"a":[18,29,37,47,53,58,69,95],"finite-volume":[19],"region":[20],"space.":[22],"introduce":[24],"an":[25,43],"approach":[26,127],"for":[27,101],"reducing":[28],"process":[32,111],"to":[33,93,105,119],"the":[34,65,76,81,85,102,108,120,125],"hard-core":[35,70,103],"model,":[36],"well-studied":[38],"discrete":[39],"spin":[40],"system.":[41],"Given":[42],"instance":[44],"such":[46],"process,":[49],"our":[50,123],"reduction":[51,90],"generates":[52],"random":[54],"graph":[55],"drawn":[56],"from":[57,107],"natural":[59],"geometric":[60,77],"model.":[61],"show":[63],"that":[64,128],"partition":[66,82,115],"function":[67,83],"model":[71,78,104],"on":[72],"graphs":[73],"generated":[74],"by":[75],"concentrates":[79],"around":[80],"process.":[88],"Our":[89],"allows":[91],"us":[92],"use":[94],"broad":[96],"range":[97],"algorithms":[99],"developed":[100],"sample":[106],"and":[112],"approximate":[113],"its":[114],"function.":[116],"This":[117],"is,":[118],"extent":[121],"knowledge,":[124],"first":[126],"deals":[129],"with":[130],"pair":[131],"potentials":[132],"unbounded":[134],"range.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
