{"id":"https://openalex.org/W7138183934","doi":"https://doi.org/10.48550/arxiv.2603.13425","title":"Self-Flow-Matching assisted Full Waveform Inversion","display_name":"Self-Flow-Matching assisted Full Waveform Inversion","publication_year":2026,"publication_date":"2026-03-13","ids":{"openalex":"https://openalex.org/W7138183934","doi":"https://doi.org/10.48550/arxiv.2603.13425"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.13425","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13425","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.13425","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030874857","display_name":"Xinquan Huang","orcid":"https://orcid.org/0000-0003-4585-7246"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Xinquan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002562845","display_name":"Paris Perdikaris","orcid":"https://orcid.org/0000-0002-2816-3229"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Perdikaris, Paris","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":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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11757","display_name":"Seismic Waves and Analysis","score":0.005400000140070915,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10110","display_name":"earthquake and tectonic studies","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7494999766349792},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6657000184059143},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5393000245094299},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5392000079154968},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5156999826431274},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.44449999928474426},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.40700000524520874},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.40700000524520874}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7494999766349792},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6657000184059143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6467999815940857},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6071000099182129},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5393000245094299},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5392000079154968},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5156999826431274},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.44449999928474426},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3797999918460846},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32580000162124634},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3125},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2797999978065491},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.13425","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13425","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.13425","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13425","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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Full-waveform":[0],"inversion":[1],"(FWI)":[2],"is":[3,21,42,87],"a":[4,80,92,101,119,142,150,172],"high-resolution":[5],"seismic":[6],"imaging":[7],"method":[8],"that":[9,122,215],"estimates":[10],"subsurface":[11],"velocity":[12],"by":[13,197],"matching":[14,139],"simulated":[15],"and":[16,28,68,79,96,181,193,224,231],"recorded":[17],"waveforms.":[18],"However,":[19],"FWI":[20,51,94,200,230],"highly":[22],"nonlinear,":[23],"prone":[24],"to":[25,30,45,55,90,100,140],"cycle":[26],"skipping,":[27],"sensitive":[29],"noise,":[31],"particularly":[32],"when":[33],"low":[34],"frequencies":[35],"are":[36],"missing":[37],"or":[38,105,149],"the":[39,124,132,155,163,167,178,195,199],"initial":[40,156],"model":[41,99,157,192],"poor,":[43],"leading":[44],"failures":[46],"under":[47,71],"imperfect":[48],"acquisition.":[49],"Diffusion-regularized":[50],"introduces":[52],"generative":[53],"priors":[54,62],"encourage":[56],"geologically":[57],"realistic":[58],"models,":[59],"but":[60],"these":[61,110],"typically":[63],"require":[64],"costly":[65],"offline":[66,128],"pretraining":[67,129],"can":[69,158],"deteriorate":[70],"distribution":[72],"shift.":[73],"Moreover,":[74],"they":[75],"assume":[76],"Gaussian":[77,147],"initialization":[78,148],"fixed":[81],"noise":[82,106,152,222],"schedule,":[83,153],"in":[84],"which":[85],"it":[86],"unclear":[88],"how":[89],"map":[91],"deterministic":[93],"iterate":[95],"its":[97],"starting":[98,164],"well-defined":[102],"diffusion":[103],"time":[104],"level.":[107],"To":[108],"address":[109],"limitations,":[111],"we":[112,188],"introduce":[113],"Self-Flow-Matching":[114],"assisted":[115],"Full-Waveform":[116],"Inversion":[117],"(SFM-FWI),":[118],"physics-driven":[120],"framework":[121],"eliminates":[123],"need":[125],"for":[126],"large-scale":[127],"while":[130],"avoiding":[131],"noise-level":[133],"alignment":[134],"ambiguity.":[135],"SFM-FWI":[136,216],"leverages":[137],"flow":[138,174,196],"learn":[141],"transport":[143],"field":[144],"without":[145,205],"assuming":[146],"predefined":[151],"so":[154],"be":[159],"used":[160],"directly":[161],"as":[162],"point":[165],"of":[166],"dynamics.":[168],"Our":[169],"approach":[170],"trains":[171],"single":[173],"network":[175],"online":[176],"using":[177],"governing":[179],"physics":[180],"observed":[182],"data.":[183],"At":[184],"each":[185],"outer":[186],"iteration,":[187],"build":[189],"an":[190],"interpolated":[191],"update":[194],"backpropagating":[198],"data":[201],"misfit,":[202],"providing":[203],"self-supervision":[204],"external":[206],"training":[207],"pairs.":[208],"Experiments":[209],"on":[210],"challenging":[211],"synthetic":[212],"benchmarks":[213],"show":[214],"delivers":[217],"more":[218,225],"accurate":[219],"reconstructions,":[220],"greater":[221],"robustness,":[223],"stable":[226],"convergence":[227],"than":[228],"standard":[229],"pretraining-free":[232],"regularization":[233],"methods.":[234]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-18T00:00:00"}