TabPFN (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "TabPFN" in English language version.

Last modified: 12:34:47, 11 August 2026 (UTC)

Ref.Un. Ref.Website

Global rank English rank

276nih.gov

5^th place

165doi.org

2^nd place

154adsabs.harvard.edu

14^th place

9^th place

73priorlabs.ai

low place

51iclr.cc

low place

42arxiv.org

49^th place

31^st place

33github.com

380^th place

337^th place

31pypi.org

3,588^th place

low place

31iclr-blogposts.github.io

low place

22openreview.net

low place

21siliconangle.com

low place

9,409^th place

11fortune.com

647^th place

421^st place

11ox.ac.uk

541^st place

356^th place

11mlcontests.com

low place

11drivendata.co

low place

11linkedin.com

713^th place

549^th place

adsabs.harvard.edu (Global: 14^th place; English: 9^th place)

ui.adsabs.harvard.edu

Hollmann, N.; Müller, S.; Purucker, L. (2025). "Accurate predictions on small data with a tabular foundation model". Nature. 637 (8045): 319–326. Bibcode:2025Natur.637..319H. doi:10.1038/s41586-024-08328-6. PMC 11711098. PMID 39780007.
McElfresh, Duncan C. (8 January 2025). "The AI tool that can interpret any spreadsheet instantly". Nature. 637 (8045): 274–275. Bibcode:2025Natur.637..274M. doi:10.1038/d41586-024-03852-x. PMID 39780000.
Offensperger, Fabian; Tin, Gary; Duran-Frigola, Miquel; Hahn, Elisa; Dobner, Sarah; Ende, Christopher W. am; Strohbach, Joseph W.; Rukavina, Andrea; Brennsteiner, Vincenth; Ogilvie, Kevin; Marella, Nara; Kladnik, Katharina; Ciuffa, Rodolfo; Majmudar, Jaimeen D.; Field, S. Denise; Bensimon, Ariel; Ferrari, Luca; Ferrada, Evandro; Ng, Amanda; Zhang, Zhechun; Degliesposti, Gianluca; Boeszoermenyi, Andras; Martens, Sascha; Stanton, Robert; Müller, André C.; Hannich, J. Thomas; Hepworth, David; Superti-Furga, Giulio; Kubicek, Stefan; Schenone, Monica; Winter, Georg E. (26 April 2024). "Large-scale chemoproteomics expedites ligand discovery and predicts ligand behavior in cells". Science. 384 (6694) eadk5864. Bibcode:2024Sci...384k5864O. doi:10.1126/science.adk5864. PMID 38662832.
Wu, Dan-Ni (2026). "PanMETAI: a high performance tabular foundation model for accurate pancreatic cancer diagnosis via NMR metabolomics". Nature Communications. 17 (1) 1595. Bibcode:2026NatCo..17.1595W. doi:10.1038/s41467-026-69426-9. PMC 12905243. PMID 41688460.

arxiv.org (Global: 49^th place; English: 31^st place)

Kolberg, Christopher; Kreuer, Jules; Huurdeman, Jonas; Ouaari, Sofiane; Eggensperger, Katharina; Pfeifer, Nico (2026-03-29). "TabPFN-Wide: Continued Pre-Training for Extreme Feature Counts". arXiv:2510.06162 [cs.LG].
Ye, Han-Jia; Liu, Si-Yang; Chao, Wei-Lun (2025). "A Closer Look at TabPFN v2: Strength, Limitation, and Extension". arXiv:2502.17361v1 [cs.LG].

doi.org (Global: 2^nd place; English: 2^nd place)

Hollmann, N.; Müller, S.; Purucker, L. (2025). "Accurate predictions on small data with a tabular foundation model". Nature. 637 (8045): 319–326. Bibcode:2025Natur.637..319H. doi:10.1038/s41586-024-08328-6. PMC 11711098. PMID 39780007.
McElfresh, Duncan C. (8 January 2025). "The AI tool that can interpret any spreadsheet instantly". Nature. 637 (8045): 274–275. Bibcode:2025Natur.637..274M. doi:10.1038/d41586-024-03852-x. PMID 39780000.
Offensperger, Fabian; Tin, Gary; Duran-Frigola, Miquel; Hahn, Elisa; Dobner, Sarah; Ende, Christopher W. am; Strohbach, Joseph W.; Rukavina, Andrea; Brennsteiner, Vincenth; Ogilvie, Kevin; Marella, Nara; Kladnik, Katharina; Ciuffa, Rodolfo; Majmudar, Jaimeen D.; Field, S. Denise; Bensimon, Ariel; Ferrari, Luca; Ferrada, Evandro; Ng, Amanda; Zhang, Zhechun; Degliesposti, Gianluca; Boeszoermenyi, Andras; Martens, Sascha; Stanton, Robert; Müller, André C.; Hannich, J. Thomas; Hepworth, David; Superti-Furga, Giulio; Kubicek, Stefan; Schenone, Monica; Winter, Georg E. (26 April 2024). "Large-scale chemoproteomics expedites ligand discovery and predicts ligand behavior in cells". Science. 384 (6694) eadk5864. Bibcode:2024Sci...384k5864O. doi:10.1126/science.adk5864. PMID 38662832.
Chu, Jasmin Z. K.; Than, Joel C. M.; Jo, Hudyjaya Siswoyo (2024). "Deep Learning for Cross-Selling Health Insurance Classification". 2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST). pp. 453–457. doi:10.1109/GECOST60902.2024.10475046. ISBN 979-8-3503-5790-5.
Wu, Dan-Ni (2026). "PanMETAI: a high performance tabular foundation model for accurate pancreatic cancer diagnosis via NMR metabolomics". Nature Communications. 17 (1) 1595. Bibcode:2026NatCo..17.1595W. doi:10.1038/s41467-026-69426-9. PMC 12905243. PMID 41688460.

drivendata.co (Global: low place; English: low place)

Wetstone, Katie (2025-05-02). "Meet the winners of Phase 2 of the PREPARE Challenge". DrivenData Labs. Retrieved 2026-04-30.

fortune.com (Global: 647^th place; English: 421^st place)

Kahn, Jeremy (5 February 2025). "AI has struggled to analyze tables and spreadsheets. This German startup thinks its breakthrough is about to change that". Fortune.

github.com (Global: 380^th place; English: 337^th place)

PriorLabs/TabPFN, Prior Labs, 2025-06-22, retrieved 2025-06-23
"PriorLabs/TabPFN". GitHub. Retrieved 2026-04-30.
Kreuer, Jules; Kolberg, Christopher; Huurdeman, Jonas; Ouaari, Sofiane; Eggensperger, Katharina; Pfeifer, Nico (2026-03-11), TabPFN-Wide, retrieved 2026-06-29

iclr-blogposts.github.io (Global: low place; English: low place)

McCarter, Calvin (May 7, 2024). "What exactly has TabPFN learned to do? | ICLR Blogposts 2024". iclr-blogposts.github.io. Retrieved 2025-06-22.

iclr.cc (Global: low place; English: low place)

Hollmann, Noah; Müller, Samuel; Eggensperger, Katharina; Hutter, Frank (2023). TabPFN: A transformer that solves small tabular classification problems in a second. International Conference on Learning Representations (ICLR).

linkedin.com (Global: 713^th place; English: 549^th place)

"TabPFN Scaling Mode announcement". LinkedIn. 2025.

mlcontests.com (Global: low place; English: low place)

"The State of Machine Learning Competitions: 2025 Edition". ML Contests. Jolt ML. Retrieved 2026-04-30.

nih.gov (Global: 5^th place; English: 5^th place)

pubmed.ncbi.nlm.nih.gov

Hollmann, N.; Müller, S.; Purucker, L. (2025). "Accurate predictions on small data with a tabular foundation model". Nature. 637 (8045): 319–326. Bibcode:2025Natur.637..319H. doi:10.1038/s41586-024-08328-6. PMC 11711098. PMID 39780007.
McElfresh, Duncan C. (8 January 2025). "The AI tool that can interpret any spreadsheet instantly". Nature. 637 (8045): 274–275. Bibcode:2025Natur.637..274M. doi:10.1038/d41586-024-03852-x. PMID 39780000.
Offensperger, Fabian; Tin, Gary; Duran-Frigola, Miquel; Hahn, Elisa; Dobner, Sarah; Ende, Christopher W. am; Strohbach, Joseph W.; Rukavina, Andrea; Brennsteiner, Vincenth; Ogilvie, Kevin; Marella, Nara; Kladnik, Katharina; Ciuffa, Rodolfo; Majmudar, Jaimeen D.; Field, S. Denise; Bensimon, Ariel; Ferrari, Luca; Ferrada, Evandro; Ng, Amanda; Zhang, Zhechun; Degliesposti, Gianluca; Boeszoermenyi, Andras; Martens, Sascha; Stanton, Robert; Müller, André C.; Hannich, J. Thomas; Hepworth, David; Superti-Furga, Giulio; Kubicek, Stefan; Schenone, Monica; Winter, Georg E. (26 April 2024). "Large-scale chemoproteomics expedites ligand discovery and predicts ligand behavior in cells". Science. 384 (6694) eadk5864. Bibcode:2024Sci...384k5864O. doi:10.1126/science.adk5864. PMID 38662832.
Wu, Dan-Ni (2026). "PanMETAI: a high performance tabular foundation model for accurate pancreatic cancer diagnosis via NMR metabolomics". Nature Communications. 17 (1) 1595. Bibcode:2026NatCo..17.1595W. doi:10.1038/s41467-026-69426-9. PMC 12905243. PMID 41688460.

ncbi.nlm.nih.gov

Hollmann, N.; Müller, S.; Purucker, L. (2025). "Accurate predictions on small data with a tabular foundation model". Nature. 637 (8045): 319–326. Bibcode:2025Natur.637..319H. doi:10.1038/s41586-024-08328-6. PMC 11711098. PMID 39780007.
Wu, Dan-Ni (2026). "PanMETAI: a high performance tabular foundation model for accurate pancreatic cancer diagnosis via NMR metabolomics". Nature Communications. 17 (1) 1595. Bibcode:2026NatCo..17.1595W. doi:10.1038/s41467-026-69426-9. PMC 12905243. PMID 41688460.

openreview.net (Global: low place; English: low place)

Müller, Samuel (2022). Transformers can do Bayesian inference. International Conference on Learning Representations (ICLR).
Perciballi, Giulia; Granese, Federica; Fall, Ahmad; Zehraoui, Farida; Prifti, Edi; Zucker, Jean-Daniel (10 October 2024). Adapting TabPFN for Zero-Inflated Metagenomic Data. Table Representation Learning Workshop at NeurIPS 2024.

ox.ac.uk (Global: 541^st place; English: 356^th place)

bioescalator.ox.ac.uk

"Prior Labs and Oxford Cancer Analytics partner to advance liquid biopsy and clinical decision making in lung disease". University of Oxford BioEscalator. 2025-11-19.

priorlabs.ai (Global: low place; English: low place)

"TabPFN-3 Model Report – Prior Labs". priorlabs.ai. Retrieved 2026-05-13.
"TabPFN-2.5 Model Report – Prior Labs". priorlabs.ai. Retrieved 2025-11-06.
"Introducing Scaling Mode for TabPFN: Foundation Models for Tabular Data on Millions of Rows". Prior Labs. 2025.

pypi.org (Global: 3,588^th place; English: low place)

Python Package Index (PyPI) - tabpfn https://pypi.org/project/tabpfn/

siliconangle.com (Global: low place; English: 9,409^th place)

"Prior Labs debuts tabular AI foundation model that scales to 10 million rows". SiliconANGLE. 2025-12-01.

TabPFN (English Wikipedia)

adsabs.harvard.edu (Global: 14th place; English: 9th place)

ui.adsabs.harvard.edu

arxiv.org (Global: 49th place; English: 31st place)

doi.org (Global: 2nd place; English: 2nd place)

drivendata.co (Global: low place; English: low place)

fortune.com (Global: 647th place; English: 421st place)

github.com (Global: 380th place; English: 337th place)

iclr-blogposts.github.io (Global: low place; English: low place)

iclr.cc (Global: low place; English: low place)

linkedin.com (Global: 713th place; English: 549th place)

mlcontests.com (Global: low place; English: low place)

nih.gov (Global: 5th place; English: 5th place)

pubmed.ncbi.nlm.nih.gov

ncbi.nlm.nih.gov

openreview.net (Global: low place; English: low place)

ox.ac.uk (Global: 541st place; English: 356th place)

bioescalator.ox.ac.uk

priorlabs.ai (Global: low place; English: low place)

pypi.org (Global: 3,588th place; English: low place)

siliconangle.com (Global: low place; English: 9,409th place)

adsabs.harvard.edu (Global: 14^th place; English: 9^th place)

arxiv.org (Global: 49^th place; English: 31^st place)

doi.org (Global: 2^nd place; English: 2^nd place)

fortune.com (Global: 647^th place; English: 421^st place)

github.com (Global: 380^th place; English: 337^th place)

linkedin.com (Global: 713^th place; English: 549^th place)

nih.gov (Global: 5^th place; English: 5^th place)

ox.ac.uk (Global: 541^st place; English: 356^th place)

pypi.org (Global: 3,588^th place; English: low place)

siliconangle.com (Global: low place; English: 9,409^th place)