Gaël Varoquaux

Identifiants chercheurs

IdHAL :

gael-varoquaux

ORCID :

0000-0003-1076-5122

IdRef :

126239894

Présentation

Publications

Article dans une revue (111)

Confidence intervals for performance estimates in brain MRI segmentation Rosana El Jurdi,Gaël Varoquaux,Olivier Colliot Medical Image Analysis, 2025, 103, pp.103565. ⟨10.1016/j.media.2025.103565⟩ Article dans une revue hal-04166803v2
Beyond Quantification: Navigating Uncertainty in Professional AI Systems Sylvie Delacroix,Diana Robinson,Umang Bhatt,Jacopo Domenicucci,Jessica Montgomeryet al. RSS: Data Science and Artificial Intelligence, 2025, 1 (1), ⟨10.1093/rssdat/udaf002⟩ Article dans une revue hal-05431485v1
Step-by-step causal analysis of EHRs to ground decision-making Matthieu Doutreligne,Tristan Struja,Judith Abecassis,Claire Morgand,Leo Anthony Celiet al. PLOS Digital Health, 2025, 4 (2), pp.e0000721. ⟨10.1371/journal.pdig.0000721⟩ Article dans une revue hal-04174834v3
Advancing science- and evidence-based AI policy Rishi Bommasani,Sanjeev Arora,Jennifer Chayes,Yejin Choi,Mariano-Florentino Cuéllaret al. Science, 2025, 389 (6759), pp.459-461. ⟨10.1126/science.adu8449⟩ Article dans une revue hal-05223459v1
Incidence of death and amputation in patients with a first diabetic foot ulcer: results from the CODIA cohort Jean-Baptiste Julla,Théo Jolivet,Candice Estellat,Gaël Varoquaux,Aurélie Carlieret al. Diabetes & Metabolism, 2025, 51 (6), pp.101700. ⟨10.1016/j.diabet.2025.101700⟩ Article dans une revue hal-05250489v1
Large Language Models as Search Engines: Societal Challenges Zacchary Sadeddine,Winston Maxwell,Gaël Varoquaux,Fabian M. Suchanek Sigir Forum, 2025, 59 (1), pp.1-35. ⟨10.1145/3769733.376974⟩ Article dans une revue hal-05369019v1
Retrieve, Merge, Predict: Augmenting Tables with Data Lakes Riccardo Cappuzzo,Aimee Coelho,Félix Lefebvre,Paolo Papotti,Gaël Varoquaux Transactions on Machine Learning Research Journal, 2025 Article dans une revue hal-04509600v2
From prediction to prescription: Machine learning and Causal Inference Judith Abécassis,Élise Dumas,Julie Alberge,Gaël Varoquaux Annual Review of Biomedical Data Science, 2025, ⟨10.1146/annurev-biodatasci-103123-095750⟩ Article dans une revue hal-04774700v1
Table Foundation Models: on knowledge pre-training for tabular learning Myung Jun Kim,Félix Lefebvre,Gaëtan Brison,Alexandre Perez-Lebel,Gaël Varoquaux Transactions on Machine Learning Research Journal, 2025 Article dans une revue hal-05224811v1
Connaître avec les modèles de langage : une rupture paradigmatique Stéphan-Eloïse Gras,Gaël Varoquaux Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo), 2025, 81, pp.85-110 Article dans une revue hal-05383445v1
How to select predictive models for decision making or causal inference? Matthieu Doutreligne,Gaël Varoquaux GigaScience, 2025, 14, ⟨10.1093/gigascience/giaf016⟩ Article dans une revue hal-03946902v5
Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance Ben van Calster,Gary S Collins,Andrew J Vickers,Laure Wynants,Kathleen F Kerret al. The Lancet Digital Health, 2025, pp.100916. ⟨10.1016/j.landig.2025.100916⟩ Article dans une revue hal-05419839v1
On the consistency of supervised learning with missing values Julie Josse,Jacob M. Chen,Nicolas Prost,Gaël Varoquaux,Erwan Scornet Statistical Papers, 2024, 65 (9), pp.5447-5479. ⟨10.1007/s00362-024-01550-4⟩ Article dans une revue hal-02024202v6
Understanding metric-related pitfalls in image analysis validation Annika Reinke,Minu D. Tizabi,Michael Baumgartner,Matthias Eisenmann,Doreen Heckmann-Nötzelet al. Nature Methods, 2024, 21, pp.182-194. ⟨10.1038/s41592-023-02150-0⟩ Article dans une revue hal-04480158v1
Metrics reloaded: recommendations for image analysis validation Lena Maier-Hein,Annika Reinke,Patrick Godau,Minu Tizabi,Florian Buettneret al. Nature Methods, 2024, 21 (2), pp.195-212. ⟨10.1038/s41592-023-02151-z⟩ Article dans une revue hal-04477840v1
Individual Brain Charting dataset extension, third release for movie watching and retinotopy data Ana Luísa Pinho,Hugo Richard,Ana Fernanda Ponce,Michael Eickenberg,Alexis Amadonet al. Scientific Data , 2024, 11 (590) Article dans une revue hal-04272993v2
Causal inference methods for combining randomized trials and observational studies: a review Bénédicte Colnet,Imke Mayer,Guanhua Chen,Awa Dieng,Ruohong Liet al. Statistical Science, In press Article dans une revue hal-03008276v2
Taux de mortalité et facteurs de risque associés chez les patients diabétiques hospitalisés pour plaie du pied : étude de cohorte historique sur l'EDS-APHP T. Jolivet,J-B. Julla,Y. Abouleka,A. Berges,Gaël Varoquauxet al. Journal of Epidemiology and Population Health, 2024, 72, pp.202255. ⟨10.1016/j.jeph.2024.202255⟩ Article dans une revue hal-04825394v1
Reweighting the RCT for generalization: finite sample error and variable selection Bénédicte Colnet,Julie Josse,Gaël Varoquaux,Erwan Scornet Journal of the Royal Statistical Society: Series A Statistics in Society, 2024, ⟨10.1093/jrsssa/qnae043⟩ Article dans une revue hal-03822662v2
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS) Russell Poldrack,Christopher Markiewicz,Stefan Appelhoff,Yoni Ashar,Tibor Aueret al. Imaging Neuroscience, 2024, 2, pp.1-19. ⟨10.1162/imag_a_00103⟩ Article dans une revue hal-04346097v1
Relational Data Embeddings for Feature Enrichment with Background Information Alexis Cvetkov-Iliev,Alexandre Allauzen,Gaël Varoquaux Machine Learning, 2023, 112 (2), pp.687-720. ⟨10.1007/s10994-022-06277-7⟩ Article dans une revue hal-03848124v1
Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging Bruno Hebling Vieira,Franziskus Liem,Kamalaker Dadi,Denis Engemann,Alexandre Gramfortet al. Neurobiology of Aging, 2022, 118, pp.55-65. ⟨10.1016/j.neurobiolaging.2022.06.008⟩ Article dans une revue hal-03808175v1
Advancing brain network models to reconcile functional neuroimaging and clinical research Xenia Kobeleva,Gaël Varoquaux,Alain Dagher,Mohit Adhikari,Christian Grefkeset al. Neuroimage-Clinical, 2022, 36, pp.103262. ⟨10.1016/j.nicl.2022.103262⟩ Article dans une revue hal-04100892v1
Comprehensive decoding mental processes from Web repositories of functional brain images Romuald Menuet,Raphael Meudec,Jérôme Dockès,Gaël Varoquaux,Bertrand Thirion Scientific Reports, 2022, 12 (7050), ⟨10.1038/s41598-022-10710-1⟩ Article dans une revue hal-03666470v1
Body-weight variability and risk of cardiovascular outcomes in patients with type 1 diabetes: a retrospective observational analysis of data from the DCCT/EDIC population. Iulia Petria,Samuel Albuquerque,Gaël Varoquaux,Jill-Jênn Vie,Nicolas Venteclefet al. Cardiovascular Diabetology, 2022, 21 (1), pp.247. ⟨10.1186/s12933-022-01689-0⟩ Article dans une revue hal-04021480v1
Insights from an autism imaging biomarker challenge: promises and threats to biomarker discovery Nicolas Traut,Katja Heuer,Guillaume Lemaître,Anita Beggiato,David Germanaudet al. NeuroImage, 2022, 255, pp.119171. ⟨10.1016/j.neuroimage.2022.119171⟩ Article dans une revue hal-03637273v2
424-P: Body-Weight Variability and Risk of Cardiovascular Outcomes in Type 1 Diabetes: Results from the DCCT/EDIC Studies Iulia Petria,Samuel Albuquerque,Gaël Varoquaux,Jill-Jênn Vie,Gilberto Velhoet al. Diabetes, 2022, 71 (Supplement_1), pp.424-P. ⟨10.2337/db22-424-P⟩ Article dans une revue hal-03818459v1
Understanding Brain Network Dynamics in Autism Begs for Generalization Yong Liu,Gaël Varoquaux Biological Psychiatry, 2022, 91 (11), pp.916-917. ⟨10.1016/j.biopsych.2022.03.007⟩ Article dans une revue hal-03818457v1
Analytics on Non-Normalized Data Sources: more Learning, rather than more Cleaning Alexis Cvetkov-Iliev,Alexandre Allauzen,Gaël Varoquaux IEEE Access, In press, 10, pp.42420-42431. ⟨10.1109/ACCESS.2022.3168013⟩ Article dans une revue hal-03647434v2
How to remove or control confounds in predictive models, with applications to brain biomarkers Darya Chyzhyk,Gaël Varoquaux,Michael Milham,Bertrand Thirion GigaScience, 2022, 11, ⟨10.1093/gigascience/giac014⟩ Article dans une revue hal-03607651v1
Machine learning for medical imaging: methodological failures and recommendations for the future Gaël Varoquaux,Veronika Cheplygina npj Digital Medicine, 2022, 5 (1), pp.48. ⟨10.1038/s41746-022-00592-y⟩ Article dans une revue hal-03818456v1
Benchmarking missing-values approaches for predictive models on health databases Alexandre Perez-Lebel,Gaël Varoquaux,Marine Le Morvan,Julie Josse,Jean-Baptiste Poline GigaScience, In press, ⟨10.1093/gigascience/giac013⟩ Article dans une revue hal-03526292v2
Causal effect on a target population: a sensitivity analysis to handle missing covariates Bénédicte Colnet,Julie Josse,Gaël Varoquaux,Erwan Scornet Journal of Causal Inference, 2022, 10 (1), pp.372-414. ⟨10.1515/jci-2021-0059⟩ Article dans une revue hal-03473691v3
Preventing dataset shift from breaking machine-learning biomarkers Jérôme Dockès,Gaël Varoquaux,Jean-Baptiste Poline GigaScience, In press, ⟨10.1093/gigascience/giab055⟩ Article dans une revue hal-03293375v1
Decoding with Confidence: Statistical Control on Decoder Maps Jérôme-Alexis Chevalier,Tuan-Binh Nguyen,Joseph Salmon,Gaël Varoquaux,Bertrand Thirion NeuroImage, 2021, pp.117921. ⟨10.1016/j.neuroimage.2021.117921⟩ Article dans une revue hal-03179728v1
Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks Gregory Kiar,Yohan Chatelain,Pablo de Oliveira Castro,Eric Petit,Ariel Rokemet al. PLoS ONE, 2021, 16 (11), pp.e0250755. ⟨10.1371/journal.pone.0250755⟩ Article dans une revue hal-03651395v1
Population modeling with machine learning can enhance measures of mental health Kamalaker Dadi,Gaël Varoquaux,Josselin Houenou,Danilo Bzdok,Bertrand Thirionet al. GigaScience, 2021, ⟨10.1101/2020.08.25.266536⟩ Article dans une revue hal-03470466v1
Extracting representations of cognition across neuroimaging studies improves brain decoding Arthur Mensch,Julien Mairal,Bertrand Thirion,Gaël Varoquaux PLoS Computational Biology, 2021, 17 (5), pp.e1008795:1-20. ⟨10.1371/journal.pcbi.1008795⟩ Article dans une revue hal-01874713v3
Fine-grain atlases of functional modes for fMRI analysis Kamalaker Dadi,Gaël Varoquaux,Antonia Machlouzarides-Shalit,Krzysztof J. Gorgolewski,Demian Wassermannet al. NeuroImage, 2020, 221, pp.117126 Article dans une revue hal-02904869v1
Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping Ana Luísa Pinho,Alexis Amadon,Baptiste Gauthier,Nicolas Clairis,André Knopset al. Scientific Data , 2020, ⟨10.1038/s41597-020-00670-4⟩ Article dans une revue hal-02973046v1
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium Gabriel A. Brat,Griffin M. Weber,Nils Gehlenborg,Paul Avillach,Nathan P. Palmeret al. npj Digital Medicine, 2020, 3 (1), pp.#109. ⟨10.1038/s41746-020-00308-0⟩ Article dans une revue hal-02918344v1
Encoding high-cardinality string categorical variables Patricio Cerda,Gaël Varoquaux IEEE Transactions on Knowledge and Data Engineering, In press, ⟨10.1109/TKDE.2020.2992529⟩ Article dans une revue hal-02171256v5
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states David Sabbagh,Pierre Ablin,Gaël Varoquaux,Alexandre Gramfort,Denis Engemann NeuroImage, 2020, ⟨10.1016/j.neuroimage.2020.116893⟩ Article dans une revue hal-02367411v1
NeuroQuery, comprehensive meta-analysis of human brain mapping Jérôme Dockès,Russell Poldrack,Romain Primet,Hande Gözükan,Tal Yarkoniet al. eLife, 2020 Article dans une revue hal-02485642v2
Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers Denis ​ Engemann,Oleh Kozynets,David Sabbagh,Guillaume Lemaître,Gaël Varoquauxet al. eLife, 2020, ⟨10.7554/eLife.54055⟩ Article dans une revue hal-02395406v1
Subject‐specific segregation of functional territories based on deep phenotyping Ana Luísa Pinho,Alexis Amadon,Murielle Fabre,Elvis Dohmatob,Isabelle Denghienet al. Human Brain Mapping, 2020, ⟨10.1002/hbm.25189⟩ Article dans une revue hal-03088606v1
Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation Mehdi Rahim,Bertrand Thirion,Gaël Varoquaux Medical Image Analysis, 2019, ⟨10.1016/j.media.2019.03.001⟩ Article dans une revue hal-02068389v1
Predictive models avoid excessive reductionism in cognitive neuroimaging Gaël Varoquaux,Russell Poldrack Current Opinion in Neurobiology, In press, 55, ⟨10.1016/j.conb.2018.11.002⟩ Article dans une revue hal-01856412v4
Brain-based ranking of cognitive domains to predict schizophrenia Teresa M Karrer,Danielle S. Bassett,Birgit Derntl,Oliver Gruber,Andre Alemanet al. Human Brain Mapping, 2019, 40, pp.4487-4507. ⟨10.1002/hbm.24716⟩ Article dans une revue hal-02180311v1
Benchmarking functional connectome-based predictive models for resting-state fMRI Kamalaker Dadi,Mehdi Rahim,Alexandre Abraham,Darya Chyzhyk,Michael Milhamet al. NeuroImage, 2019, 192, pp.115-134. ⟨10.1016/j.neuroimage.2019.02.062⟩ Article dans une revue hal-01824205v3
Atlases of cognition with large-scale brain mapping Gaël Varoquaux,Yannick Schwartz,Russell Poldrack,Baptiste Gauthier,Danilo Bzdoket al. PLoS Computational Biology, In press Article dans une revue hal-01908189v1
Inter-subject registration of functional images: do we need anatomical images ? Elvis Dohmatob,Gaël Varoquaux,Bertrand Thirion Frontiers in Neuroscience, In press Article dans une revue hal-01701619v1
Similarity encoding for learning with dirty categorical variables Patricio Cerda,Gaël Varoquaux,Balázs Kégl Machine Learning, 2018, ⟨10.1007/s10994-018-5724-2⟩ Article dans une revue hal-01806175v1
Patterns of Schizophrenia Symptoms: Hidden Structure in the PANSS Questionnaire Jeremy Lefort-Besnard,Gaël Varoquaux,Birgit Derntl,Oliver Gruber,Andre Alemanet al. Translational Psychiatry, 2018, 8, pp.237. ⟨10.1038/s41398-018-0294-4⟩ Article dans une revue hal-01888918v1
Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function Jeremy Lefort-Besnard,Danielle S Bassett,Jonathan Smallwood,Daniel S. Margulies,Birgit Derntlet al. Human Brain Mapping, 2018, pp.1-52 Article dans une revue hal-01620441v1
Stochastic Subsampling for Factorizing Huge Matrices Arthur Mensch,Julien Mairal,Bertrand Thirion,Gaël Varoquaux IEEE Transactions on Signal Processing, 2018, 66 (1), pp.113-128. ⟨10.1109/TSP.2017.2752697⟩ Article dans une revue hal-01431618v3
Shared Endo-phenotypes of Default Mode Dysfunction in Attention Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Julius M Kernbach,Theodore D Satterthwaite,Danielle S. Bassett,Jonathan Smallwood,Daniel Margulieset al. Translational Psychiatry, 2018, 8 (1), pp.133. ⟨10.1038/s41398-018-0179-6⟩ Article dans une revue hal-01790245v1
Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants Julius M Kernbach,B T Thomas Yeo,Jonathan Smallwood,Daniel Margulies,Michel Thiebaut de Schottenet al. Proceedings of the National Academy of Sciences of the United States of America, 2018, ⟨10.1073/pnas.1804876115⟩ Article dans une revue hal-01926796v1
Atlases of cognition with large-scale human brain mapping Gaël Varoquaux,Yannick Schwartz,Russell A Poldrack,Baptiste Gauthier,Danilo Bzdoket al. PLoS Computational Biology, 2018, 14 (11), pp.e1006565. ⟨10.1371/journal.pcbi.1006565⟩ Article dans une revue inserm-02146700v1
Joint prediction of multiple scores captures better individual traits from brain images Mehdi Rahim,Bertrand Thirion,Danilo Bzdok,Irène Buvat,Gaël Varoquaux NeuroImage, 2017, ⟨10.1016/j.neuroimage.2017.06.072⟩ Article dans une revue hal-01547524v1
FReM – scalable and stable decoding with fast regularized ensemble of models Andrés A Hoyos-Idrobo,Gaël Varoquaux,Yannick Schwartz,Bertrand Thirion NeuroImage, 2017, pp.1-16. ⟨10.1016/j.neuroimage.2017.10.005⟩ Article dans une revue hal-01615015v1
Distinct alterations in Parkinson's Medication-state and Disease-state Connectivity Running Title: PD altered connectivity Bernard Ng,Gaël Varoquaux,Jean Baptiste Poline,Bertrand Thirion,Michael D. Greiciuset al. Neuroimage-Clinical, 2017 Article dans une revue hal-01614971v1
Decoding fMRI activity in the time domain improves classification performance João Loula,Gaël Varoquaux,Bertrand Thirion NeuroImage, 2017, ⟨10.1016/j.neuroimage.2017.08.018⟩ Article dans une revue hal-01576641v1
Cross-validation failure: small sample sizes lead to large error bars Gaël Varoquaux NeuroImage, 2017, ⟨10.1016/j.neuroimage.2017.06.061⟩ Article dans une revue hal-01545002v1
Beyond computational reproducibility, let us aim for reusability Gaël Varoquaux IEEE CIS Newsletter on Cognitive and Developmental Systems, 2016, What is Computational Reproducibility?, 13 (2) Article dans une revue hal-01592368v1
Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals Andrés Hoyos-Idrobo,Gaël Varoquaux,Jonas Kahn,Bertrand Thirion IEEE Transactions on Pattern Analysis and Machine Intelligence, In press, XX, ⟨10.1109/TPAMI.2018.2815524⟩ Article dans une revue hal-01366651v2
Connectivity-Based Parcellation: Critique and Implications Simon B. Eickhoff,Bertrand Thirion,Gaël Varoquaux,Danilo Bzdok Human Brain Mapping, 2016, pp.22. ⟨10.1002/hbm.22933⟩ Article dans une revue hal-01184563v1
Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-sample Generalization Danilo Bzdok,Gaël Varoquaux,Bertrand Thirion Educational and Psychological Measurement, 2016 Article dans une revue hal-01338313v1
Seeing it all: Convolutional network layers map the function of the human visual system Michael Eickenberg,Alexandre Gramfort,Gaël Varoquaux,Bertrand Thirion NeuroImage, 2016, ⟨10.1016/j.neuroimage.2016.10.001⟩ Article dans une revue hal-01389809v1
Assessing and tuning brain decoders: cross-validation, caveats, and guidelines Gaël Varoquaux,Pradeep A Reddy Raamana,Denis A Engemann,Andrés A Hoyos-Idrobo,Yannick A Schwartzet al. NeuroImage, 2016, ⟨10.1016/j.neuroimage.2016.10.038⟩ Article dans une revue hal-01332785v2
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments Krzysztof J. Gorgolewski,Tibor Auer,Vince D. Calhoun,Cameron R. Craddock,Samir Daset al. Scientific Data , 2016, 3, pp.160044. ⟨10.1038/sdata.2016.44⟩ Article dans une revue inserm-01345616v1
Exploring the anatomical encoding of voice with a mathematical model of the vocal system. M Florencia Assaneo,Jacobo Sitt,Gaël Varoquaux,Mariano Sigman,Laurent Cohenet al. NeuroImage, 2016, 141, pp.31-9. ⟨10.1016/j.neuroimage.2016.07.033⟩ Article dans une revue hal-01498364v1
Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction Mehdi Rahim,Bertrand Thirion,Claude Comtat,Gaël Varoquaux IEEE Journal of Selected Topics in Signal Processing, 2016, 10 (7), pp.1204 - 1213. ⟨10.1109/JSTSP.2016.2600400⟩ Article dans une revue hal-01353728v1
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example Alexandre Abraham,Michael Milham,Adriana Di Martino,R. Cameron Craddock,Dimitris Samaraset al. NeuroImage, 2016, ⟨10.1016/j.neuroimage.2016.10.045⟩ Article dans une revue hal-01398867v1
Formal Models of the Network Co-occurrence Underlying Mental Operations Danilo Bzdok,Gaël Varoquaux,Olivier Grisel,Michael Eickenberg,Cyril Pouponet al. PLoS Computational Biology, 2016, ⟨10.1371/journal.pcbi.1004994⟩ Article dans une revue hal-01338307v1
Predicting brain-age from multimodal imaging data captures cognitive impairment Franziskus Liem,Gaël Varoquaux,Jana Kynast,Frauke Beyer,Shahrzad Kharabian Masoulehet al. NeuroImage, 2016, ⟨10.1016/j.neuroimage.2016.11.005⟩ Article dans une revue hal-01403005v1
NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain Krzysztof J. Gorgolewski,Gael Varoquaux,Gabriel Rivera,Yannick Schwarz,Satrajit S. Ghoshet al. Frontiers in Neuroinformatics, 2015, 9 (8), ⟨10.3389/fninf.2015.00008⟩ Article dans une revue inserm-01134573v2
Convex relaxations of penalties for sparse correlated variables with bounded total variation Eugene Belilovsky,Andreas Argyriou,Gaël Varoquaux,Matthew B. Blaschko Machine Learning, 2015, pp.1-21. ⟨10.1007/s10994-015-5511-2⟩ Article dans une revue hal-01167861v1
NeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain Krzysztof J. Gorgolewski,Gael Varoquaux,Gabriel Rivera,Yannick Schwartz,Vanessa V. Sochatet al. NeuroImage, 2015, 124 (Pt B), pp.1242-1244. ⟨10.1016/j.neuroimage.2015.04.016⟩ Article dans une revue inserm-01148969v1
Transport on Riemannian Manifold for Connectivity-based Brain Decoding Bernard Ng,Gaël Varoquaux,Jean-Baptiste Poline,Michael D Greicius,Bertrand Thirion IEEE Transactions on Medical Imaging, 2015, PP (99), pp.9. ⟨10.1109/TMI.2015.2463723⟩ Article dans une revue hal-01185200v1
How machine learning is shaping cognitive neuroimaging Gaël Varoquaux,Bertrand Thirion GigaScience, 2014, 3, pp.28. ⟨10.1186/2047-217X-3-28⟩ Article dans une revue hal-01094737v1
Machine Learning Patterns for Neuroimaging-Genetic Studies in the Cloud Benoit da Mota,Radu Tudoran,Alexandru Costan,Gaël Varoquaux,Goetz Brascheet al. Frontiers in Neuroinformatics, 2014, Recent advances and the future generation of neuroinformatics infrastructure, 8, ⟨10.3389/fninf.2014.00031⟩ Article dans une revue hal-01057325v1
Identification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm. Anna-Clare Milazzo,Bernard Ng,Heidi Jiang,William Shirer,Gael Varoquauxet al. Cerebral Cortex, 2014, pp.12 Article dans une revue hal-01094759v1
Which fMRI clustering gives good brain parcellations? Bertrand Thirion,Gaël Varoquaux,Elvis Dohmatob,Jean-Baptiste Poline Frontiers in Neuroscience, 2014, 8 (167), pp.13. ⟨10.3389/fnins.2014.00167⟩ Article dans une revue hal-01015172v1
A framework for inter-subject prediction of functional connectivity from structural networks Fani Deligianni,Gaël Varoquaux,Bertrand Thirion,David J. Sharp,Christian Lediget al. IEEE Transactions on Medical Imaging, 2013, epub ahead of print, ⟨10.1109/TMI.2013.2276916⟩ Article dans une revue hal-00852072v1
Randomized parcellation based inference. Benoit da Mota,Virgile Fritsch,Gaël Varoquaux,Tobias Banaschewski,Gareth J. Barkeret al. NeuroImage, 2013, epub ahead of print. ⟨10.1016/j.neuroimage.2013.11.012⟩ Article dans une revue hal-00915243v1
Machine Learning for Neuroimaging with Scikit-Learn Alexandre Abraham,Fabian Pedregosa,Michael Eickenberg,Philippe Gervais,Andreas Mulleret al. Frontiers in Neuroscience, 2013, pp.15. ⟨10.3389/fninf.2014.00014⟩ Article dans une revue hal-01093971v1
Spatial vs. Temporal Features in ICA of Resting-State fMRI - A Quantitative and Qualitative Investigation in the Context of Response Inhibition Lixia Tian,Yazhuo Kong,Juejing Ren,Gaël Varoquaux,Yufeng Zanget al. PLoS ONE, 2013, ⟨10.1371/journal.pone.0066572⟩ Article dans une revue hal-00856513v1
Learning and comparing functional connectomes across subjects Gaël Varoquaux,R. Cameron Craddock NeuroImage, 2013, 80, pp.405-415. ⟨10.1016/j.neuroimage.2013.04.007⟩ Article dans une revue hal-00812911v1
Publishing scientific software matters Christophe Pradal,Gaël Varoquaux,Hans Peter Langtangen Journal of computational science, 2013, 4 (5), pp.311 - 312. ⟨10.1016/j.jocs.2013.08.001⟩ Article dans une revue hal-00858663v1
In Situ Synchrotron Microtomography Reveals Multiple Reaction Pathways During Soda-Lime Glass Synthesis Emmanuelle Gouillart,Michael-J. Toplis,Julien Grynberg,Marie-Hélène Chopinet,Elin Sondergardet al. Journal of the American Ceramic Society, 2012, 95 (5), pp.1504-1507. ⟨10.1111/j.1551-2916.2012.05151.x⟩ Article dans une revue hal-00705955v1
Detecting Outliers in High-Dimensional Neuroimaging Datasets with Robust Covariance Estimators Virgile Fritsch,Gaël Varoquaux,Benjamin Thyreau,Jean-Baptiste Poline,Bertrand Thirion Medical Image Analysis, 2012, 16, pp.1359-1370. ⟨10.1016/j.media.2012.05.002⟩ Article dans une revue hal-00701225v1
Scale-Free and Multifractal Time Dynamics of fMRI Signals during Rest and Task. Philippe Ciuciu,G. Varoquaux,Patrice Abry,S. Sadaghiani,A. Kleinschmidt Frontiers in Physiology, 2012, 3 (1), pp.186. ⟨10.3389/fphys.2012.00186⟩ Article dans une revue hal-00852175v1
Hyperfrontality and hypoconnectivity during refreshing in schizophrenia. Marie-Laure Grillon,Catherine Oppenheim,Gaël Varoquaux,Frédérique Charbonneau,Anne-Dominique Devauchelleet al. Psychiatry Research: Neuroimaging, 2012, 211 (3), pp.226-233. ⟨10.1016/j.pscychresns.2012.09.001⟩ Article dans une revue hal-00753225v1
Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks? Gaël Varoquaux,Alexandre Gramfort,Jean Baptiste Poline,Bertrand Thirion Journal of Physiology - Paris, 2012, 106, pp.212-221. ⟨10.1016/j.jphysparis.2012.01.001⟩ Article dans une revue hal-00665340v2
Changing computational research. The challenges ahead. Cameron Neylon,Jan Aerts,C Titus Brown,Simon J Coles,Les Hattonet al. Source Code for Biology and Medicine, 2012, 7 (2), pp.2. ⟨10.1186/1751-0473-7-2⟩ Article dans une revue hal-00856484v1
PyXNAT: XNAT in Python Yannick Schwartz,Alexis Barbot,Benjamin Thyreau,Vincent Frouin,Gaël Varoquauxet al. Frontiers in Neuroinformatics, 2012, 6 (12), pp.1-14. ⟨10.3389/fninf.2012.00012⟩ Article dans une revue hal-00782339v1
The NumPy array: a structure for efficient numerical computation Stefan van Der Walt,S. Chris Colbert,Gaël Varoquaux Computing in Science and Engineering, 2011, 13 (2), pp.22-30. ⟨10.1109/MCSE.2011.37⟩ Article dans une revue inria-00564007v1
Mayavi: 3D visualization of scientific data Prabhu Ramachandran,Gaël Varoquaux Computing in Science and Engineering, 2011, 13 (2), pp.40-51. ⟨10.1109/MCSE.2011.35⟩ Article dans une revue inria-00528985v1
A supervised clustering approach for fMRI-based inference of brain states Vincent Michel,Alexandre Gramfort,Gaël Varoquaux,Evelyn Eger,Christine Keribinet al. Pattern Recognition, 2011, epub ahead of print. ⟨10.1016/j.patcog.2011.04.006⟩ Article dans une revue inria-00589201v1
Total variation regularization for fMRI-based prediction of behaviour. Vincent Michel,Alexandre Gramfort,Gaël Varoquaux,Evelyn Eger,Bertrand Thirion IEEE Transactions on Medical Imaging, 2011, 30 (7), pp.1328 - 1340. ⟨10.1109/TMI.2011.2113378⟩ Article dans une revue inria-00563468v1
Scikit-learn: Machine Learning in Python Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirionet al. Journal of Machine Learning Research, 2011 Article dans une revue hal-00650905v2
A group model for stable multi-subject ICA on fMRI datasets. Gaël Varoquaux,Sepideh Sadaghiani,Philippe Pinel,Andreas Kleinschmidt,Jean-Baptiste Polineet al. NeuroImage, 2010, 51 (1), pp.288-99. ⟨10.1016/j.neuroimage.2010.02.010⟩ Article dans une revue hal-00489507v1
Python comme langage scientifique Gaël Varoquaux Linux Magazine France, 2009, Explorer les richesses du langage Python, 40 Article dans une revue hal-00776672v1
Light-pulse atom interferometry in microgravity Guillaume Stern,Baptiste Battelier,Rémi Geiger,Gaël Varoquaux,André Villinget al. The European Physical Journal D : Atomic, molecular, optical and plasma physics, 2009, 53 (3), pp.353. ⟨10.1140/epjd/e2009-00150-5⟩ Article dans une revue hal-00369287v1
How to estimate the differential acceleration in a two-species atom interferometer to test the equivalence principle Gaël Varoquaux,Robert Nyman,Rémi Geiger,Patrick Cheinet,Arnaud Landraginet al. New Journal of Physics, 2009, 11, pp.113010. ⟨10.1088/1367-2630/11/11/113010⟩ Article dans une revue hal-00423845v1
Agile Computer Control of a Complex Experiment Gaël Varoquaux Computing in Science and Engineering, 2008, 10 (2), pp.55-59. ⟨10.1109/MCSE.2008.47⟩ Article dans une revue hal-00502504v1
Sagnac effect in superfluid liquids Eric Varoquaux,Gaël Varoquaux Uspekhi Fizicheskikh Nauk, 2008, 51 (2), pp.205-208. ⟨10.1070/PU2008v051n02ABEH006425⟩ Article dans une revue istex hal-00502604v1
Light-shift tomography in an optical-dipole trap for neutral atoms Jean-Philippe Brantut,Jean-François Clément,Martin Robert-De-Saint-Vincent,Gaël Varoquaux,Robert Nymanet al. Physical Review A : Atomic, molecular, and optical physics [1990-2015], 2008, 78, pp.031401 (R). ⟨10.1103/PhysRevA.78.031401⟩ Article dans une revue hal-00303321v1
Tapered-amplified AR-coated laser diodes for Potassium and Rubidium atomic-physics experiments Robert Nyman,Gaël Varoquaux,Brice Villier,Delphine Sacchet,Frédéric Moronet al. Review of Scientific Instruments, 2006, 77, pp.033105. ⟨10.1063/1.2186809⟩ Article dans une revue hal-00014931v1
I.C.E.: a Transportable Atomic Inertial Sensor for Test in Microgravity Robert Nyman,Gaël Varoquaux,Fabien Lienhart,Damien Chambon,Salah Boussenet al. Applied Physics B - Laser and Optics, 2006, 84, pp.673-681. ⟨10.1007/s00340-006-2395-7⟩ Article dans une revue hal-00023609v1

Communication dans un congrès (105)

On the calibration of survival models with competing risks Julie Alberge,Tristan Haugomat,Gaël Varoquaux,Judith Abécassis AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics, May 2026, Tanger, Morocco Communication dans un congrès hal-05484094v1
Epistemic Uncertainty Quantification to Improve Decisions From Black-Box Models Sébastien Melo,Gaël Varoquaux,Marine Le Morvan Fourteenth International Conference on Learning Representations, Apr 2026, Rio de Janeiro, Brazil Communication dans un congrès hal-05393027v2
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Jingang Qu,David Holzmüller,Gaël Varoquaux,Marine Le Morvan ICML 2025 - 42nd International Conference on Machine Learning, Jul 2025, Vancouver, Canada Communication dans un congrès hal-05100518v1
Narrative review on the clinical evaluation of AI-based digital medical devices from a methodological perspective Sandrine Boulet,Vincent Thévenet,Judith Abécassis,Corinne Collignon,Bruno Giraudeauet al. PEPR-SanteNum 2025 - Journées Annuelles du PEPR Santé Numérique, PEPR Santé Numérique, Oct 2025, Lille, France Communication dans un congrès hal-05364958v1
Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI Gaël Varoquaux,Alexandra Sasha Luccioni,Meredith Whittaker FAccT 2025 - ACM Conference on Fairness, Accountability, and Transparency, Jun 2025, Athens, Greece Communication dans un congrès hal-05113443v2
Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning Félix Lefebvre,Gaël Varoquaux NeurIPS 2025 - 39th Annual Conference on Neural Information Processing Systems, Dec 2025, San Diego (California), United States Communication dans un congrès hal-05417830v1
Decision from Suboptimal Classifiers: Excess Risk Pre-and Post-Calibration Alexandre Perez-Lebel,Gaël Varoquaux,Sanmi Koyejo,Matthieu Doutreligne,Marine Le Morvan AISTATS 2025 - the 28th International Conference on Artifi- cial Intelligence and Statistics, May 2025, Mai Khao, Thailand Communication dans un congrès hal-04987054v1
Imputation for prediction: beware of diminishing returns Marine Le Morvan,Gaël Varoquaux ICLR 2025 - International Conference on Learning Representations, Apr 2025, Singapore, Singapore Communication dans un congrès hal-04662937v2
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks Julie Alberge,Vincent Maladière,Olivier Grisel,Judith Abécassis,Gaël Varoquaux AISTATS 2025 - 28th International Conference on Artificial Intelligence and Statistics, May 2025, Phuket, Thailand Communication dans un congrès hal-04617672v5
Some hidden traps of confidence intervals in medical image segmentation: coverage issues Pascaline André,Charles Heitz,Evangelia Christodoulou,Annika Reinke,Carole H Sudreet al. BRIDGE 2025 - MICCAI Workshop Bridging Regulatory Science and Medical Imaging Evaluation, Sep 2025, Deajeon, South Korea Communication dans un congrès hal-05240740v1
Knowledge-Rich Embeddings for Tabular Learning Félix Lefebvre,Myung Jun Kim,Gaël Varoquaux AITD 2025 - Workshop on AI for Tabular Data, Dec 2025, Copenhagen, Denmark Communication dans un congrès hal-05418034v1
Innovative clinical trial approach for evaluating digital medical devices under European HTA fast-Track frameworks Moreno Ursino,Sandrine Boulet,Corinne Collignon,Florence Francis-Oliviero,Edouard Lhommeet al. ISCB 2025 - 46th Annual Conference of the International Society for Clinical Biostatistics, Aug 2025, Basel, Switzerland Communication dans un congrès hal-05364910v1
Operational challenges of building a million-patient cohort from EHRs: The COhort of DIabetic patients (CODIA) on the AP-HP EDS Judith Abécassis,Théo Jolivet,Audrey Bergès,Elise Liu,Jean-Baptiste Jullaet al. journée de l'Atelier TIDS (Traitement Informatique des Données de Santé) du GdR MaDICS, Oct 2024, Paris (PariSanté Campus), France Communication dans un congrès hal-04817434v1
Confidence intervals uncovered: Are we ready for real-world medical imaging AI? Evangelia Christodoulou,Annika Reinke,Rola Houhou,Piotr Kalinowski,Selen Erkanet al. MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, Oct 2024, Marrakech, Morocco. pp.124-132, ⟨10.1007/978-3-031-72117-5_12⟩ Communication dans un congrès hal-04715638v1
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim,Léo Grinsztajn,Gaël Varoquaux Forty-first International Conference on Machine Learning, ICML 2024, Jul 2024, Vienna, Austria Communication dans un congrès hal-04596816v2
Learning High-Quality and General-Purpose Phrase Representations Lihu Chen,Gaël Varoquaux,Fabian M. Suchanek EACL 2024 - The 18th Conference of the European Chapter of the Association for Computational Linguistics, Mar 2024, La Valette, Malta Communication dans un congrès hal-04465022v1
Reconfidencing LLM Uncertainty from the Grouping Loss Perspective Lihu Chen,Alexandre Perez-Lebel,Fabian Suchanek,Gaël Varoquaux EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing, Nov 2024, Miami, United States. ⟨10.48550/arXiv.2402.04957⟩ Communication dans un congrès hal-04750567v1
Beyond calibration: estimating the grouping loss of modern neural networks Alexandre Perez-Lebel,Marine Le Morvan,Gaël Varoquaux ICLR 2023 – The Eleventh International Conference on Learning Representations, May 2023, Kigali, Rwanda Communication dans un congrès hal-03829870v4
The Locality and Symmetry of Positional Encodings Lihu Chen,Gaël Varoquaux,Fabian M. Suchanek EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing, Dec 2023, Singapore, Singapore Communication dans un congrès hal-04330367v1
GLADIS: A General and Large Acronym Disambiguation Benchmark Lihu Chen,Gaël Varoquaux,Fabian M. Suchanek EACL 2023 - The 17th Conference of the European Chapter of the Association for Computational Linguistics, May 2023, Dubrovnik, Croatia Communication dans un congrès hal-04039173v1
Why do tree-based models still outperform deep learning on typical tabular data? Léo Grinsztajn,Edouard Oyallon,Gaël Varoquaux 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, Nov 2022, New Orleans, United States Communication dans un congrès hal-03723551v3
Imputing out-of-vocabulary embeddings with LOVE makes language models robust with little cost Lihu Chen,Gaël Varoquaux,Fabian Suchanek ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, May 2022, Dublin, Ireland Communication dans un congrès hal-03613101v2
AI as statistical methods for imperfect theories Gaël Varoquaux NeurIPS 2021 - 35th Conference on Neural Information Processing Systems. Workshop: AI for Science, Dec 2021, Virtual, France Communication dans un congrès hal-03474791v2
Accounting for variance in machine learning benchmarks Xavier Bouthillier,Pierre Delaunay,Mirko Bronzi,Assya Trofimov,Brennan Nichyporuket al. MLsys 2021 - 4th Conference on Machine Learning and Systems, Apr 2021, San Francisco (virtual), United States Communication dans un congrès hal-03177159v1
A lightweight neural model for biomedical entity linking Lihu Chen,Gaël Varoquaux,Fabian Suchanek AAAI 2021 - The Thirty-Fifth Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Feb 2021, Palo Alto (virtual), United States. pp.12657-12665 Communication dans un congrès hal-03086044v2
What's a good imputation to predict with missing values? Marine Le Morvan,Julie Josse,Erwan Scornet,Gaël Varoquaux NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Virtual, France. ⟨10.48550/arXiv.2106.00311⟩ Communication dans un congrès hal-03243931v2
NeuMiss networks: differentiable programming for supervised learning with missing values Marine Le Morvan,Julie Josse,Thomas Moreau,Erwan Scornet,Gaël Varoquaux NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada Communication dans un congrès hal-02888867v3
Linear predictor on linearly-generated data with missing values: non consistency and solutions Marine Le Morvan,Nicolas Prost,Julie Josse,Erwan Scornet,Gaël Varoquaux AISTATS 2020 - International Conference on Artificial Intelligence and Statistics, Aug 2020, Online, France. pp.3165-3174 Communication dans un congrès hal-02464569v2
Comparing distributions: $l1$ geometry improves kernel two-sample testing Meyer Scetbon,Gaël Varoquaux NeurIPS 2019 - 33th Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02292545v2
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data Sergül Aydöre,Bertrand Thirion,Gaël Varoquaux NeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02318458v1
Manifold-regression to predict from MEG/EEG brain signals without source modeling David Sabbagh,Pierre Ablin,Gaël Varoquaux,Alexandre Gramfort,Denis Engemann NeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02147708v2
Controlling a confound in predictive models with a test set minimizing its effect Darya Chyzhyk,Gaël Varoquaux,Bertrand Thirion,Michael Milham PRNI 2018 - 8th International Workshop on Pattern Recognition in Neuroimaging, Jun 2018, Singapore, Singapore. pp.1-4 Communication dans un congrès hal-01831701v1
Text to brain: predicting the spatial distribution of neuroimaging observations from text reports Jérôme Dockès,Demian Wassermann,Russell Poldrack,Fabian M. Suchanek,Bertrand Thirionet al. MICCAI 2018 - 21st International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2018, Granada, Spain. pp.1-18 Communication dans un congrès hal-01807295v3
Population-shrinkage of covariance to estimate better brain functional connectivity Mehdi Rahim,Bertrand Thirion,Gaël Varoquaux Medical Image Computing and Computer Assisted Interventions, Sep 2017, Quebec city, Canada Communication dans un congrès hal-01547612v1
Towards a Faster Randomized Parcellation Based Inference Andrés Hoyos-Idrobo,Gaël Varoquaux,Bertrand Thirion PRNI 2017 - 7th International Workshop on Pattern Recognition in NeuroImaging, Jun 2017, Toronto, Canada Communication dans un congrès hal-01552237v1
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction Marc-Andre Schulz,Gaël Varoquaux,Alexandre Gramfort,Bertrand Thirion,Danilo Bzdok Neural Information Processing Systems, Machine Learning in Health Workshop, Dec 2017, Long Beach, United States Communication dans un congrès hal-01633096v1
Learning Neural Representations of Human Cognition across Many fMRI Studies Arthur Mensch,Julien Mairal,Danilo Bzdok,Bertrand Thirion,Gaël Varoquaux Neural Information Processing Systems, Dec 2017, Long Beach, United States Communication dans un congrès hal-01626823v3
Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging Danilo Bzdok,Michael Eickenberg,Gaël Varoquaux,Bertrand Thirion International conference on Information Processing in Medical Imaging (IPMI) 2017, Jun 2017, Boone, North Carolina, United States Communication dans un congrès hal-01480885v1
Learning to Discover Sparse Graphical Models Eugene B Belilovsky,Kyle Kastner,Gaël Varoquaux,Matthew B Blaschko International Conference on Machine Learning , Aug 2017, Sydney, Australia Communication dans un congrès hal-01306491v4
Multi-output predictions from neuroimaging: assessing reduced-rank linear models Mehdi Rahim,Bertrand Thirion,Gaël Varoquaux PRNI 2017 - The 7th International Workshop on Pattern Recognition in Neuroimaging, Jun 2017, Toronto, Canada. pp.1 - 4, ⟨10.1109/PRNI.2017.7981504⟩ Communication dans un congrès hal-01547572v2
The Brain Imaging Data Structure: a format for organizing and describing neuroimaging data Krzysztof Gorgolewski,Tibor Auer,Vince D Calhoun,Cameron Craddock,Samir Daset al. 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), Jun 2016, Geneva, Switzerland Communication dans un congrès inserm-01570685v1
Dictionary Learning for Massive Matrix Factorization Arthur Mensch,Julien Mairal,Bertrand Thirion,Gaël Varoquaux International Conference on Machine Learning, Jun 2016, New York, United States. pp.1737-1746 Communication dans un congrès hal-01308934v2
Subsampled online matrix factorization with convergence guarantees Arthur Mensch,Julien Mairal,Gaël Varoquaux,Bertrand Thirion NIPS Workshop on Optimization for Machine Learning, Dec 2016, Barcelone, Spain Communication dans un congrès hal-01405058v1
Fast brain decoding with random sampling and random projections Andrés Hoyos-Idrobo,Gaël Varoquaux,Bertrand Thirion PRNI 2016: the 6th International Workshop on Pattern Recognition in Neuroimaging, Jun 2016, Trento, Italy Communication dans un congrès hal-01313814v1
Learning brain regions via large-scale online structured sparse dictionary-learning Elvis Dohmatob,Arthur Mensch,Gaël Varoquaux,Bertrand Thirion Neural Information Processing Systems (NIPS), Dec 2016, Barcelona, Spain Communication dans un congrès hal-01369134v3
Local Q-Linear Convergence and Finite-time Active Set Identification of ADMM on a Class of Penalized Regression Problems Elvis Dohmatob,Michael Eickenberg,Bertrand Thirion,Gaël Varoquaux ICASSP, International Conference on Acoustics, Speach, and Signal Processing, Mar 2016, http://icassp2016.org/default.asp, China Communication dans un congrès hal-01265372v1
Comparing functional connectivity based predictive models across datasets Kamalaker Dadi,Alexandre Abraham,Mehdi Rahim,Bertrand Thirion,Gaël Varoquaux PRNI 2016: 6th International Workshop on Pattern Recognition in Neuroimaging, Jun 2016, Trento, Italy Communication dans un congrès hal-01319131v1
Compressed Online Dictionary Learning for Fast Resting-State fMRI Decomposition Arthur Mensch,Gaël Varoquaux,Bertrand Thirion International Symposium on Biomedical Imaging, IEEE, Apr 2016, Prague, Czech Republic. pp.1282-1285, ⟨10.1109/ISBI.2016.7493501⟩ Communication dans un congrès hal-01271033v2
Social-sparsity brain decoders: faster spatial sparsity Gaël Varoquaux,Matthieu Kowalski,Bertrand Thirion Pattern Recognition in NeuroImaging, Jun 2016, Trento, Italy Communication dans un congrès hal-01334551v1
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity Eugene Belilovsky,Gaël Varoquaux,Matthew B. Blaschko Neural Information Processing Systems (NIPS) 2016, Dec 2016, Barcelona, Spain Communication dans un congrès hal-01248844v4
Speeding-up model-selection in GraphNet via early-stopping and univariate feature-screening Elvis Dohmatob,Michael Eickenberg,Bertrand Thirion,Gaël Varoquaux PRNI, Jun 2015, Stanford, United States Communication dans un congrès hal-01147731v1
Improving sparse recovery on structured images with bagged clustering Andrés Hoyos-Idrobo,Yannick Schwartz,Gaël Varoquaux,Bertrand Thirion International Workshop On Pattern Recognition In Neuroimaging (PRNI), 2015, Jun 2015, Palo alto, United States Communication dans un congrès hal-01174335v1
NeuroVault.org: new features and a proof of concept analysis Krzysztof Gorgolewski,Gaël Varoquaux,Gabriel Rivera,Joseph Wexler,Yannick Schwartzet al. 21st Annual Meeting of the Organization for Human Brain Mapping (OHBM 2015), Jun 2015, Honolulu, United States Communication dans un congrès inserm-01570688v1
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data Danilo Bzdok,Michael Eickenberg,Olivier Grisel,Bertrand Thirion,Gaël Varoquaux NIPS'15: 28th International Conference on Neural Information Processing Systems, Dec 2015, Montreal, Canada Communication dans un congrès hal-01211248v1
Correlations of correlations are not reliable statistics: implications for multivariate pattern analysis. Bertrand Thirion,Fabian Pedregosa,Michael Eickenberg,Gaël Varoquaux ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Bertrand Thirion, Lars Kai Hansen, Sanmi Koyejo, Jul 2015, Lille, France Communication dans un congrès hal-01187297v1
FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging Gaël Varoquaux,Michael Eickenberg,Elvis Dohmatob,Bertand Thirion Colloque GRETSI, P. Gonçalves, P. Abry, Sep 2015, Lyon, France Communication dans un congrès hal-01247388v1
Total Variation meets Sparsity: statistical learning with segmenting penalties Michael Eickenberg,Elvis Dohmatob,Bertrand Thirion,Gaël Varoquaux Medical Image Computing and Computer Aided Intervention (MICCAI), Oct 2015, München, Germany Communication dans un congrès hal-01170619v1
Fast clustering for scalable statistical analysis on structured images Bertrand Thirion,Andrés Hoyos-Idrobo,Jonas Kahn,Gaël Varoquaux ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Bertrand Thirion, Lars Kai Hansen, Sanmi Koyejo, Jul 2015, Lille, France Communication dans un congrès hal-01229023v2
Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease Mehdi Rahim,Bertrand Thirion,Alexandre Abraham,Michael Eickenberg,Elvis Dohmatobet al. Medical Image Computing and Computer Assisted Intervention, Oct 2015, Munich, Germany. ⟨10.1007/978-3-319-24553-9_26⟩ Communication dans un congrès hal-01174636v1
Principal Component Regression predicts functional responses across individuals Bertrand Thirion,Gaël Varoquaux,Olivier Grisel,Cyril Poupon,Philippe Pinel MICCAI, Sep 2014, Boston, United States Communication dans un congrès hal-01015173v1
Benchmarking solvers for TV-l1 least-squares and logistic regression in brain imaging Elvis Dohmatob,Alexandre Gramfort,Bertrand Thirion,Gaël Varoquaux PRNI 2014 - 4th International Workshop on Pattern Recognition in NeuroImaging, Jun 2014, Tübingen, Germany Communication dans un congrès hal-00991743v1
Deriving a multi-subject functional-connectivity atlas to inform connectome estimation Ronald Phlypo,Bertrand Thirion,Gaël Varoquaux Medical Image Computing and Computer-Assisted Intervention, Sep 2014, Boston, United States. pp.185-192, ⟨10.1007/978-3-319-10443-0_24⟩ Communication dans un congrès hal-00991124v4
Transport on Riemannian Manifold for Functional Connectivity-based Classification Bernard Ng,Martin Dressler,Gaël Varoquaux,Jean-Baptiste Poline,Michael D. Greiciuset al. MICCAI - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Polina Golland, Sep 2014, Boston, United States Communication dans un congrès hal-01058521v1
Cohort-level brain mapping: learning cognitive atoms to single out specialized regions Gaël Varoquaux,Yannick Schwartz,Philippe Pinel,Bertrand Thirion IPMI - Information Processing in Medical Imaging - 2013, William M. Wells, Sarang Joshi, Kilian M. Pohl, Jun 2013, Asilomar, United States. pp.438-449, ⟨10.1007/978-3-642-38868-2_37⟩ Communication dans un congrès hal-00841502v1
API design for machine learning software: experiences from the scikit-learn project Lars Buitinck,Gilles Louppe,Mathieu Blondel,Fabian Pedregosa,Andreas Muelleret al. European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic Communication dans un congrès hal-00856511v1
A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation Bernard Ng,Gaël Varoquaux,Jean-Baptiste Poline,Bertrand Thirion Information Processing in Medical Imaging, Jun 2013, Asilomar, United States Communication dans un congrès hal-00842607v1
Hemodynamic estimation based on Consensus Clustering Solveig Badillo,Gaël Varoquaux,Philippe Ciuciu PRNI 2013 -- 3rd International Workshop on Pattern Recognition in NeuroImaging, Jun 2013, Philadelphia, United States Communication dans un congrès hal-00854621v1
Robust Group-Level Inference in Neuroimaging Genetic Studies Virgile Fritsch,Benoit da Mota,Gaël Varoquaux,Vincent Frouin,Eva Lothet al. Pattern Recognition in Neuroimaging, Jun 2013, Philadelphie, United States Communication dans un congrès hal-00833953v1
Mapping cognitive ontologies to and from the brain Yannick Schwartz,Bertrand Thirion,Gaël Varoquaux NIPS (Neural Information Processing Systems), Dec 2013, United States Communication dans un congrès hal-00904763v2
Extracting brain regions from rest fMRI with Total-Variation constrained dictionary learning Alexandre Abraham,Elvis Dohmatob,Bertrand Thirion,Dimitris Samaras,Gaël Varoquaux MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Sep 2013, Nagoya, Japan Communication dans un congrès hal-00853242v1
Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation Bernard Ng,Gaël Varoquaux,Jean-Baptiste Poline,Bertrand Thirion MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Kensaku Mori, Sep 2013, Nagoya, Japan Communication dans un congrès hal-00853108v1
A Comparison of Metrics and Algorithms for Fiber Clustering Viviana Siless,Sergio Medina,Gaël Varoquaux,Bertrand Thirion Pattern Recognition in NeuroImaging, Jun 2013, Philadelphia, United States Communication dans un congrès hal-00858115v1
Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations Benoit da Mota,Virgile Fritsch,Gaël Varoquaux,Vincent Frouin,Jean-Baptiste Polineet al. MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Sep 2013, Nagoya, Japan Communication dans un congrès hal-00832616v1
Identifying predictive regions from fMRI with TV-L1 prior Alexandre Gramfort,Bertrand Thirion,Gaël Varoquaux Pattern Recognition in Neuroimaging (PRNI), Jun 2013, Philadelphia, United States Communication dans un congrès hal-00839984v1
Connectivity-informed Sparse Classifiers for fMRI Brain Decoding Bernard Ng,Viviana Siless,Gaël Varoquaux,Jean-Baptiste Poline,Bertrand Thirionet al. Pattern Recognition in Neuroimaging, Christos Davatzikos, Moritz Grosse-Wentrup, Janaina Mourao-Miranda, Dimitri Van De Ville, Jul 2012, London, United Kingdom Communication dans un congrès hal-00726656v1
Improved brain pattern recovery through ranking approaches Fabian Pedregosa,Elodie Cauvet,Gaël Varoquaux,Christophe Pallier,Bertrand Thirionet al. PRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, Jul 2012, London, United Kingdom Communication dans un congrès hal-00717954v1
Decoding Visual Percepts Induced by Word Reading with fMRI Alexandre Gramfort,Christophe Pallier,Gaël Varoquaux,Bertrand Thirion Pattern Recognition in NeuroImaging (PRNI), 2012 International Workshop on, Jul 2012, Londres, United Kingdom. pp.13-16, ⟨10.1109/PRNI.2012.20⟩ Communication dans un congrès hal-00730768v1
A MapReduce Approach for Ridge Regression in Neuroimaging-Genetic Studies Benoit da Mota,Michael Eickenberg,Soizic Laguitton,Vincent Frouin,Gaël Varoquauxet al. DCICTIA-MICCAI - Data- and Compute-Intensive Clinical and Translational Imaging Applications in conjonction with the 15th International Conference on Medical Image Computing and Computer Assisted Intervention - 2012, Oct 2012, Nice, France Communication dans un congrès hal-00730385v1
Improving accuracy and power with transfer learning using a meta-analytic database Yannick Schwartz,Gaël Varoquaux,Christophe Pallier,Philippe Pinel,Jean-Baptiste Polineet al. MICCAI, Oct 2012, Nice, France. pp.1-8 Communication dans un congrès hal-00734911v2
Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering Gaël Varoquaux,Alexandre Gramfort,Bertrand Thirion International Conference on Machine Learning, Andrew McCallum, Jun 2012, Edimbourg, United Kingdom Communication dans un congrès hal-00705192v1
A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding Vincent Michel,Alexandre Gramfort,Evelyn Eger,Gaël Varoquaux,Bertrand Thirion MLINI - Machine Learning and Interpretation in Neuroimaging - 2011, Dec 2011, Sierra Nevada, Spain. pp.1-8, ⟨10.1007/978-3-642-34713-9_1⟩ Communication dans un congrès hal-00753142v1
A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference Bernard Ng,Gaël Varoquaux,Jean-Baptiste Poline,Bertrand Thirion Medical Image Computing and Computer Assisted Intervention, Oct 2012, Nice, France Communication dans un congrès hal-00741631v1
A fast computational framework for genome-wide association studies with neuroimaging data Benoit da Mota,Vincent Frouin,Edouard Duchesnay,Soizic Laguitton,Gaël Varoquauxet al. 20th International Conference on Computational Statistics (COMPSTAT 2012), Aug 2012, Limassol, Cyprus Communication dans un congrès hal-00720265v1
Non-parametric Density Modeling and Outlier Detection in Medical Imaging Datasets Virgile Fritsch,Gaël Varoquaux,Jean-Baptiste Poline,Bertrand Thirion Machine Learning in Medical Imaging - Miccai 2012 workshop, Oct 2012, Nice, France. pp.207-214 Communication dans un congrès hal-00738438v1
Statistical Learning for Resting-State fMRI: Successes and Challenges Gaël Varoquaux,Bertrand Thirion Machine Learning and Interpretation in Neuroimaging, NIPS workshop, Dec 2011, Sierra Nevada, Spain. pp.172-177, ⟨10.1007/978-3-642-34713-9_22⟩ Communication dans un congrès hal-00753132v1
Learning to rank from medical imaging data Fabian Pedregosa,Elodie Cauvet,Gaël Varoquaux,Christophe Pallier,Bertrand Thirionet al. Third International Workshop on Machine Learning in Medical Imaging - MLMI 2012, INRIA, Oct 2012, Nice, France Communication dans un congrès hal-00717990v2
On spatial selectivity and prediction across conditions with fMRI Yannick Schwartz,Gaël Varoquaux,Bertrand Thirion PRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, Jul 2012, London, United Kingdom. pp.53-56 Communication dans un congrès hal-00728765v1
Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant Virgile Fritsch,Gaël Varoquaux,Thyreau Benjamin,Jean-Baptiste Poline,Bertrand Thirion Medical Image Computing and Computer Assisted Intervention, Sep 2011, Toronto, Canada. pp. 264-271, ⟨10.1007/978-3-642-23626-6_33⟩ Communication dans un congrès inria-00626857v1
Beyond brain reading: randomized sparsity and clustering to simultaneously predict and identify Alexandre Gramfort,Gaël Varoquaux,Bertrand Thirion NIPS 2011 MLINI Workshop, Dec 2011, Granada, Spain. pp.9-16, ⟨10.1007/978-3-642-34713-9_2⟩ Communication dans un congrès hal-00704875v1
A probabilistic framework to infer brain functional connectivity from anatomical connections Fani Deligianni,Gaël Varoquaux,Bertrand Thirion,Emma Robinson,David J. Sharpet al. Information Processing in Medical Imaging, Gábor Székely, Horst Hahn, Jul 2011, Kaufbeuren, Germany. pp.296-307, ⟨10.1007/978-3-642-22092-0_25⟩ Communication dans un congrès inria-00627914v1
MULTIFRACTAL ANALYSIS OF RESTING STATE NETWORKS IN FUNCTIONAL MRI Philippe Ciuciu,Gaël Varoquaux,Patrice Abry,Moty Almog IEEE International Symposium on Biomedical Imaging, Mar 2011, Chicago, United States. paper ID 1544 Communication dans un congrès cea-00558870v1
Connectivity-informed fMRI Activation Detection Bernard Ng,Abugharbieh Rafeef,Gaël Varoquaux,Jean Baptiste Poline,Bertrand Thirion Medical Image Computing and Computed Aided Intervention, Sep 2011, Toronto, Canada. pp.285-292, ⟨10.1007/978-3-642-23629-7_35⟩ Communication dans un congrès inria-00627523v1
Multi-subject dictionary learning to segment an atlas of brain spontaneous activity Gaël Varoquaux,Alexandre Gramfort,Fabian Pedregosa,Vincent Michel,Bertrand Thirion Information Processing in Medical Imaging, Gábor Székely, Horst Hahn, Jul 2011, Kaufbeuren, Germany. pp.562-573, ⟨10.1007/978-3-642-22092-0_46⟩ Communication dans un congrès inria-00588898v2
Total Variation regularization enhances regression-based brain activity prediction Vincent Michel,Alexandre Gramfort,Gaël Varoquaux,Bertrand Thirion 1st ICPR Workshop on Brain Decoding - Pattern recognition challenges in neuroimaging - 20th International Conference on Pattern Recognition, Aug 2010, Istanbul, Turkey. pp.9-12, ⟨10.1109/WBD.2010.13⟩ Communication dans un congrès hal-00504095v1
ICA-based sparse feature recovery from fMRI datasets Gaël Varoquaux,Merlin Keller,Jean Baptiste Poline,Philippe Ciuciu,Bertrand Thirion Biomedical Imaging, IEEE International Symposium on, Apr 2010, Rotterdam, Netherlands. pp.1177 Communication dans un congrès hal-00489506v1
Brain covariance selection: better individual functional connectivity models using population prior Gaël Varoquaux,Alexandre Gramfort,Jean Baptiste Poline,Bertrand Thirion Advances in Neural Information Processing Systems, John Lafferty, Dec 2010, Vancouver, Canada Communication dans un congrès inria-00512451v4
Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling Gaël Varoquaux,Flore Baronnet,Andreas Kleinschmidt,Pierre Fillard,Bertrand Thirion Medical Image Computing and Computer Added Intervention, Tianzi Jiang, Sep 2010, Beijing, China. ⟨10.1007/978-3-642-15705-9_25⟩ Communication dans un congrès inria-00512417v1
Accurate Definition of Brain Regions Position Through the Functional Landmark Approach Bertrand Thirion,Gaël Varoquaux,Jean-Baptiste Poline 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2010, Beijing, China Communication dans un congrès inria-00521909v1
CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series Gaël Varoquaux,Sepideh Sadaghiani,Jean Baptiste Poline,Bertrand Thirion Medical Image Computing and Computer Aided Intervention, Sep 2009, London, United Kingdom. pp.1 Communication dans un congrès hal-00435262v1
Proceedings of the 8th Python in Science conference Gaël Varoquaux,Stefan van Der Walt,Jarrod Millman SciPy 2009: 8th Python in Science Conference, Aug 2009, Pasadena, United States. pp.1-78 Communication dans un congrès hal-00502607v1
All-optical evaporative cooling in a versatile optical-dipole trap at telecom wavelength Martin Robert-De-Saint-Vincent,Alain Aspect,Thomas Bourdel,Philippe Bouyer,Gaël Varoquauxet al. YAO, 2008, Florence, Italy Communication dans un congrès hal-00637735v1
Proceedings of the 7th Python in Science conference Gaël Varoquaux,Travis Vaught,Jarrod Millman SciPy 2008: 7th Python in Science Conference, Aug 2008, Pasadena, United States. pp.1-78 Communication dans un congrès hal-00502586v1
Effects of disorder in 2D Jean-Philippe Brantut,Gaël Varoquaux,Robert A. Nyman,Jean-François Clément,Martin Robert-De-Saint-Vincentet al. Latsis, Jan 2008, Lausanne, Switzerland Communication dans un congrès hal-00637732v1
Mayavi: Making 3D Data Visualization Reusable Gaël Varoquaux,Prabhu Ramachandran SciPy 2008: 7th Python in Science Conference, Aug 2008, Pasadena, United States. pp.51 Communication dans un congrès hal-00502548v1
I.C.E.: An Ultra-Cold Atom Source for Long-Baseline Interferometric Inertial Sensors in Reduced Gravity Gaël Varoquaux,Nassim Zahzam,Walid Chaibi,Jean-François Clément,Olivier Carrazet al. Rencontres de Moriond Gravitational Waves and Experimental Gravity, Mar 2007, La Thuile, Val d'Aoste, Italy Communication dans un congrès hal-00147641v3

Poster de conférence (6)

Survival models: Proper scoring rule and stochastic optimization with competing risks Julie Alberge,Vincent Maladière,Olivier Grisel,Judith Abécassis,Gaël Varoquaux EPICLIN 2025 - conférence francophone d’ÉPIdémiologie CLINique, May 2025, Bordeaux, France. 73, pp.203083, 2025, ⟨10.1016/j.jeph.2025.203083⟩ Poster de conférence hal-05241460v1
Narrative review on the clinical evaluation of AI-based digital medical devices from a methodological perspective Sandrine Boulet,Vincent Thévenet,Judith Abécassis,Corinne Collignon,Bruno Giraudeauet al. SbN 2025 - 10th Statistics & Biopharmacy Conference, Oct 2025, Paris, France Poster de conférence hal-05364943v1
Narrative review on the clinical evaluation of AI-based digital medical devices from a methodological perspective Sandrine Boulet,Vincent Thévenet,Judith Abécassis,Corinne Collignon,Bruno Giraudeauet al. PEPR-SanteNum 2025 - Journées Annuelles du PEPR Santé Numérique, Oct 2025, Lille, France Poster de conférence hal-05347091v1
Innovative Clinical Trial Approach for Evaluating Digital Medical Devices under European Fast-Track Regulatory Frameworks Moreno Ursino,Sandrine Boulet,Corinne Collignon,Florence Francis-Oliviero,Edouard Lhommeet al. EPICLIN 2025 - Conférence francophone d’EPIdémiologie CLINique, May 2025, Bordeaux, France Poster de conférence hal-05085050v1
Relating Brain Structures To Open-Ended Descriptions Of Cognition Jérôme Dockès,Olivier Grisel,Joan Massich,Fabian Suchanek,Bertrand Thirionet al. CCN 2017 - Conference on Cognitive Computational Neuroscience, Sep 2017, New York, United States. , 10 (2), pp.59 - 63, 2017, ⟨10.1016/j.tics.2005.12.004⟩ Poster de conférence hal-01699045v1
SpaceNet: Multivariate brain decoding and segmentation Elvis Dohmatob,Michael Eickenberg,Bertrand Thirion,Gaël Varoquaux OHBM, Jun 2015, Honolulu, Hawaii, United States Poster de conférence hal-01187230v1

Document associé à des manifestations scientifiques (1)

Region segmentation for sparse decompositions: better brain parcellations from rest fMRI Alexandre Abraham,Elvis Dohmatob,Bertrand Thirion,Dimitris Samaras,Gael Varoquaux Sparsity Techniques in Medical Imaging, Sep 2014, Boston, United States. pp.8 Document associé à des manifestations scientifiques hal-01093944v1

Ouvrages (1)

Scipy Lecture Notes Gaël Varoquaux,Emmanuelle Gouillart,Olav Vahtras,Valentin Haenel,Nicolas P. Rougieret al. Zenodo, 2015, ⟨10.5281/zenodo.31736⟩ Ouvrages hal-01206546v1

Chapitre d'ouvrage (1)

Evaluating machine learning models and their diagnostic value Gaël Varoquaux,Olivier Colliot Olivier Colliot. Machine Learning for Brain Disorders, Springer, 2023 Chapitre d'ouvrage hal-03682454v6

Pré-publication, Document de travail (13)

Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals Pascaline André,Charles Heitz,Evangelia Christodoulou,Annika Reinke,Carole H Sudreet al. 2026 Pré-publication, Document de travail (preprint/prepublication) hal-05472180v2
TabICLv2: A better, faster, scalable, and open tabular foundation model Jingang Qu,David Holzmüller,Gaël Varoquaux,Marine Le Morvan 2026 Pré-publication, Document de travail hal-05538427v1
What is the Role of Small Models in the LLM Era: A Survey Lihu Chen,Gaël Varoquaux 2024 Pré-publication, Document de travail hal-04712720v1
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance Ben van Calster,Gary S. Collins,Andrew J. Vickers,Laure Wynants,Kathleen F. Kerret al. 2024 Pré-publication, Document de travail hal-04841858v1
Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI Gaël Varoquaux,Alexandra Sasha Luccioni,Meredith Whittaker 2024 Pré-publication, Document de travail hal-04825392v1
Vectorizing string entries for data processing on tables: when are larger language models better? Léo Grinsztajn,Myung Jun Kim,Edouard Oyallon,Gaël Varoquaux 2023 Pré-publication, Document de travail hal-04345931v1
Understanding metric-related pitfalls in image analysis validation Annika Reinke,Minu D. Tizabi,Michael Baumgartner,Matthias Eisenmann,Doreen Heckmann-Nötzelet al. 2023 Pré-publication, Document de travail hal-04345927v1
Risk ratio, odds ratio, risk difference... Which causal measure is easier to generalize? Bénédicte Colnet,Julie Josse,Gaël Varoquaux,Erwan Scornet 2024 Pré-publication, Document de travail hal-04369607v1
Hydroxychloroquine with or without azithromycin and in-hospital mortality or discharge in patients hospitalized for COVID-19 infection: a cohort study of 4,642 in-patients in France Emilie Sbidian,Julie Josse,Guillaume Lemaître,Imke Mayer,Melodie Bernauxet al. 2020 Pré-publication, Document de travail hal-02995319v1
Fine-grain atlases of functional modes for fMRI analysis Kamalaker Dadi,Gaël Varoquaux,Antonia Machlouzarides-Shalit,Krzysztof Jacek Gorgolewski,Demian Wassermannet al. 2020 Pré-publication, Document de travail hal-02496156v1
Beyond brain age: Empirically-derived proxy measures of mental health Kamalaker Dadi,Gael Varoquaux,Josselin Houenou,Danilo Bzdok,Bertrand Thirionet al. 2020 Pré-publication, Document de travail hal-02929857v1
Approximate message-passing for convex optimization with non-separable penalties Andre Manoel,Florent Krzakala,Bertrand Thirion,Gaël Varoquaux,Lenka Zdeborová 2018 Pré-publication, Document de travail cea-01932983v1
Prediction and inference diverge in biomedicine: Simulations and real-world data Danilo Bzdok,Denis Engemann,Olivier Grisel,Gaël Varoquaux,Bertrand Thirion 2018 Pré-publication, Document de travail hal-01848319v1

Rapport (7)

International AI Safety Report 2025 Second Key Update: Technical Safeguards and Risk Management Yoshua Bengio,Stephen Clare,Carina Prunkl,Maksym Andriushchenko,Ben Bucknallet al. Mila - Quebec AI Institute; UK AI Safety Institute. 2025 Rapport hal-05459391v1
International AI Safety Report Yoshua Bengio,Sören Mindermann,Daniel Privitera,Tamay Besiroglu,Rishi Bommasaniet al. AI safety institute. 2025 Rapport hal-05223593v1
International AI Safety Report 2025 First Key Update: Capabilities and Risk Implications Yoshua Bengio,Stephen Clare,Carina Prunkl,Shalaleh Rismani,Maksym Andriushchenkoet al. UK AI Security Institute; Mila - Quebec AI Institute. 2025 Rapport hal-05459345v1
International Scientific Report on the Safety of Advanced AI: interim report Yohsua Bengio,Soren Mindermann,Daniel Privitera,Tamay Besiroglu,Rishi Bommasaniet al. Department for Science, Innovation and Technology. 2024 Rapport hal-04612963v1
IA : Notre Ambition Pour La France Philippe Aghion,Anne Bouverot,Arno Amabile,Cyprien Canivenc,Gilles Babinetet al. Gouvernement Français. 2024 Rapport (rapport d’expertise collective) hal-04825691v1
Lessons from shortcomings in machine learning for medical imaging Gaël Varoquaux,Veronika Cheplygina OECD. 2023 Rapport hal-04342020v1
Survey of machine-learning experimental methods at NeurIPS2019 and ICLR2020 Xavier Bouthillier,Gaël Varoquaux [Research Report] Inria Saclay Ile de France. 2020 Rapport (rapport de recherche) hal-02447823v1

Thèse (1)

Atomic sources for long-time-of-flight interferometric inertial sensors Gaël Varoquaux Atomic Physics [physics.atom-ph]. Université Paris Sud - Paris XI; Institut d'Optique, 2008. English. ⟨NNT : ⟩ Thèse tel-00265714v3