{"id":"https://openalex.org/W7166706986","doi":"https://doi.org/10.5281/zenodo.21078077","title":"Seahorse: Unified Benchmarking for Spatio-Temporal Point Processes","display_name":"Seahorse: Unified Benchmarking for Spatio-Temporal Point Processes","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7166706986","doi":"https://doi.org/10.5281/zenodo.21078077"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.21078077","doi":"https://doi.org/10.5281/zenodo.21078077","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21078077","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},"volume":null,"type":"software","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.21078077","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089067239","display_name":"Yahya Aalaila","orcid":"https://orcid.org/0000-0002-0661-317X","observed_orcids":["https://orcid.org/0000-0002-0661-317X"]},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Aalaila, Yahya","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI)"],"raw_orcid":"https://orcid.org/0000-0002-0661-317X","affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI)","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041210187","display_name":"Gerrit Gro\u00dfmann","orcid":"https://orcid.org/0000-0002-4933-447X","observed_orcids":["https://orcid.org/0000-0002-4933-447X"]},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gro\u00dfmann, Gerrit","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI)"],"raw_orcid":"https://orcid.org/0000-0002-4933-447X","affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI)","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003185028","display_name":"Sebastian J. Vollmer","orcid":"https://orcid.org/0000-0003-2831-1401","observed_orcids":["https://orcid.org/0000-0003-2831-1401","https://orcid.org/0000-0002-9025-0753"]},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vollmer, Sebastian","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI)"],"raw_orcid":"https://orcid.org/0000-0003-2831-1401","affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI)","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33256026"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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/T11830","display_name":"Point processes and geometric inequalities","score":0.9854000210762024,"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":0.9854000210762024,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.005100000184029341,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.0017000000225380063,"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/spatio-temporal-point-processes","display_name":"spatio-temporal point processes","score":0.9990000128746033},{"id":"https://openalex.org/keywords/benchmarking","display_name":"benchmarking","score":0.6589999794960022},{"id":"https://openalex.org/keywords/point-process-models","display_name":"point process models","score":0.625},{"id":"https://openalex.org/keywords/likelihood-analysis","display_name":"likelihood analysis","score":0.5600000023841858},{"id":"https://openalex.org/keywords/model-calibration","display_name":"model calibration","score":0.7570000290870667},{"id":"https://openalex.org/keywords/evaluation-protocol","display_name":"evaluation protocol","score":0.515999972820282},{"id":"https://openalex.org/keywords/python-library","display_name":"Python library","score":0.453000009059906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6222000122070312},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5052000284194946},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44749999046325684},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4381999969482422},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.27390000224113464},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.5281/zenodo.21078077","doi":"https://doi.org/10.5281/zenodo.21078077","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21078077","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},{"id":"doi:10.5281/zenodo.21078078","doi":"https://doi.org/10.5281/zenodo.21078078","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21078078","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},{"id":"doi:10.5281/zenodo.24033447","doi":"https://doi.org/10.5281/zenodo.24033447","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24033447","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"}],"best_oa_location":{"id":"doi:10.5281/zenodo.21078077","doi":"https://doi.org/10.5281/zenodo.21078077","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21078077","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7167017735","https://openalex.org/W2186081825","https://openalex.org/W7100284179","https://openalex.org/W4292116469","https://openalex.org/W7027101707","https://openalex.org/W2124715382","https://openalex.org/W6950231090","https://openalex.org/W7135748824","https://openalex.org/W4384644362","https://openalex.org/W7033299489"],"abstract_inverted_index":{"A":[0],"benchmark":[1],"and":[2,19],"library":[3],"for":[4],"spatio-temporal":[5],"point":[6],"processes:":[7],"13":[8],"datasets,":[9],"28":[10],"model":[11],"presets,":[12],"one":[13],"evaluation":[14],"protocol":[15],"with":[16],"exact":[17],"likelihoods":[18],"calibration":[20],"(NeurIPS":[21],"2026).":[22]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-07-01T00:00:00"}
