{"id":"https://openalex.org/W7152450355","doi":"https://doi.org/10.48550/arxiv.2604.06358","title":"GS-Surrogate: Deformable Gaussian Splatting for Parameter Space Exploration of Ensemble Simulations","display_name":"GS-Surrogate: Deformable Gaussian Splatting for Parameter Space Exploration of Ensemble Simulations","publication_year":2026,"publication_date":"2026-04-07","ids":{"openalex":"https://openalex.org/W7152450355","doi":"https://doi.org/10.48550/arxiv.2604.06358"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.06358","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.06358","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.06358","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107933047","display_name":"Ziwei Li","orcid":"https://orcid.org/0009-0006-4859-3345"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Ziwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133292356","display_name":"Rumali Perera","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Perera, Rumali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075722001","display_name":"Angus G. Forbes","orcid":"https://orcid.org/0000-0002-8700-7795"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Forbes, Angus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133254601","display_name":"Ken Moreland","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moreland, Ken","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044429826","display_name":"Dave Pugmire","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pugmire, Dave","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133244298","display_name":"Scott Klasky","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Klasky, Scott","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101520942","display_name":"Wei\u2010Lun Chao","orcid":"https://orcid.org/0000-0003-1269-7231"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao, Wei-Lun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133289269","display_name":"Han-Wei Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Han-Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5107933047"],"corresponding_institution_ids":[],"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":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.6995000243186951,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.6995000243186951,"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"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.08320000022649765,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.05770000070333481,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7379999756813049},{"id":"https://openalex.org/keywords/isosurface","display_name":"Isosurface","score":0.7325999736785889},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5784000158309937},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5444999933242798},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4790000021457672},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43619999289512634},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42309999465942383},{"id":"https://openalex.org/keywords/parameter-space","display_name":"Parameter space","score":0.3531999886035919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645000219345093},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7379999756813049},{"id":"https://openalex.org/C45107383","wikidata":"https://www.wikidata.org/wiki/Q1311829","display_name":"Isosurface","level":3,"score":0.7325999736785889},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5784000158309937},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5444999933242798},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4790000021457672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46140000224113464},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42309999465942383},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3402000069618225},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3334999978542328},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.33169999718666077},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.31940001249313354},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C167528306","wikidata":"https://www.wikidata.org/wiki/Q5508776","display_name":"Function representation","level":3,"score":0.2913999855518341},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2791999876499176},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C59740354","wikidata":"https://www.wikidata.org/wiki/Q2737866","display_name":"Scientific visualization","level":3,"score":0.2709999978542328}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.06358","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.06358","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.06358","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.06358","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Exploring":[0],"ensemble":[1],"simulations":[2],"is":[3],"increasingly":[4],"important":[5],"across":[6,155],"many":[7],"scientific":[8],"domains.":[9],"However,":[10],"supporting":[11],"flexible":[12,153],"post-hoc":[13],"exploration":[14,64,154],"remains":[15],"challenging":[16],"due":[17],"to":[18,125],"the":[19,23],"trade-off":[20],"between":[21],"storing":[22],"expensive":[24,61],"raw":[25],"data":[26],"and":[27,65,103,122,133,152,158],"flexibly":[28],"adjusting":[29],"visualization":[30,33,85,127,159],"settings.":[31],"Existing":[32],"surrogate":[34,86],"models":[35],"have":[36],"improved":[37],"this":[38,76,117],"workflow,":[39],"but":[40],"they":[41],"either":[42],"operate":[43],"in":[44],"image":[45],"space":[46],"without":[47],"an":[48],"explicit":[49,118],"3D":[50,101],"representation":[51,102],"or":[52],"rely":[53],"on":[54,141],"neural":[55],"radiance":[56],"fields":[57],"that":[58,148],"are":[59],"computationally":[60],"for":[62,87],"interactive":[63],"encode":[66],"all":[67],"parameter-driven":[68],"variations":[69,113],"within":[70],"a":[71,81,94,99,142],"single":[72],"implicit":[73],"field.":[74],"In":[75],"work,":[77],"we":[78],"introduce":[79],"GS-Surrogate,":[80],"deformable":[82],"Gaussian":[83,96],"Splatting-based":[84],"parameter-space":[88],"exploration.":[89],"Our":[90],"method":[91],"first":[92],"constructs":[93],"canonical":[95],"field":[97],"as":[98,130],"base":[100],"adapts":[104],"it":[105],"through":[106],"sequential":[107],"parameter-conditioned":[108],"deformations.":[109],"By":[110],"separating":[111],"simulation-related":[112],"from":[114],"visualization-specific":[115],"changes,":[116],"formulation":[119],"enables":[120,150],"efficient":[121],"controllable":[123],"adaptation":[124],"different":[126],"tasks,":[128],"such":[129],"isosurface":[131],"extraction":[132],"transfer":[134],"function":[135],"editing.":[136],"We":[137],"evaluate":[138],"our":[139],"framework":[140],"range":[143],"of":[144],"simulation":[145,157],"datasets,":[146],"demonstrating":[147],"GS-Surrogate":[149],"real-time":[151],"both":[156],"parameter":[160],"spaces.":[161]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-04-10T00:00:00"}