{"id":"https://openalex.org/W7134067417","doi":"https://doi.org/10.48550/arxiv.2603.04736","title":"Distribution-Conditioned Transport","display_name":"Distribution-Conditioned Transport","publication_year":2026,"publication_date":"2026-03-05","ids":{"openalex":"https://openalex.org/W7134067417","doi":"https://doi.org/10.48550/arxiv.2603.04736"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.04736","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128272881","display_name":"Nic Fishman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fishman, Nic","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128256283","display_name":"Gokul Gowri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gowri, Gokul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128234212","display_name":"Paolo L. B. Fischer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fischer, Paolo L. B.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128235688","display_name":"Marinka Zitnik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zitnik, Marinka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128267619","display_name":"Omar Abudayyeh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abudayyeh, Omar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5063743060","display_name":"Jonathan S. Gootenberg","orcid":"https://orcid.org/0000-0003-2757-2175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gootenberg, Jonathan","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20462218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.7285000085830688,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.7285000085830688,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.04129999876022339,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.03480000048875809,"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/leverage","display_name":"Leverage (statistics)","score":0.6815000176429749},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5156000256538391},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4672999978065491},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4081999957561493},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.3650999963283539},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.36480000615119934}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6815000176429749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6283000111579895},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5156000256538391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.505299985408783},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4672999978065491},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3650999963283539},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3228999972343445},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.3052000105381012},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3003000020980835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29429998993873596},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.2612000107765198}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.04736","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.04736","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.04736","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.04736","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":{"Learning":[0],"a":[1,6,10,14,42],"transport":[2,40,46,89,97],"model":[3],"that":[4,26,44],"maps":[5,47],"source":[7,30,52],"distribution":[8,12,60,76],"to":[9,29,58,87,94,105],"target":[11,32,54],"is":[13,92],"canonical":[15],"problem":[16],"in":[17,126,131,144],"machine":[18],"learning,":[19],"but":[20],"scientific":[21],"applications":[22,125],"increasingly":[23],"require":[24],"models":[25,100,108],"can":[27,79],"generalize":[28],"and":[31,53,123,146],"distributions":[33,81],"unseen":[34,59],"during":[35],"training.":[36],"We":[37,112],"introduce":[38],"distribution-conditioned":[39],"(DCT),":[41],"framework":[43],"conditions":[45],"on":[48,120],"learned":[49],"embeddings":[50],"of":[51,118],"distributions,":[55],"enabling":[56],"generalization":[57],"pairs.":[61],"DCT":[62,91,119],"also":[63],"allows":[64],"semi-supervised":[65],"learning":[66,140],"for":[67],"distributional":[68,106],"forecasting":[69],"problems:":[70],"because":[71],"it":[72,78],"learns":[73],"from":[74,102,136],"arbitrary":[75],"pairs,":[77],"leverage":[80],"observed":[82],"at":[83],"only":[84],"one":[85],"condition":[86],"improve":[88],"prediction.":[90],"agnostic":[93],"the":[95,114],"underlying":[96],"mechanism,":[98],"supporting":[99],"ranging":[101],"flow":[103],"matching":[104],"divergence-based":[107],"(e.g.":[109],"Wasserstein,":[110],"MMD).":[111],"demonstrate":[113],"practical":[115],"performance":[116],"benefits":[117],"synthetic":[121],"benchmarks":[122],"four":[124],"biology:":[127],"batch":[128],"effect":[129],"transfer":[130],"single-cell":[132],"genomics,":[133],"perturbation":[134],"prediction":[135],"mass":[137],"cytometry":[138],"data,":[139],"clonal":[141],"transcriptional":[142],"dynamics":[143],"hematopoiesis,":[145],"modeling":[147],"T-cell":[148],"receptor":[149],"sequence":[150],"evolution.":[151]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-07T00:00:00"}