Patricio Cerda, Gaël Varoquaux. Encoding high-cardinality string categorical variables. IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, In press, pp.1-1. ⟨10.1109/TKDE.2020.2992529⟩. ⟨hal-02171256v5⟩

Marine Le Morvan, Nicolas Prost, Julie Josse, Erwan Scornet, Gaël Varoquaux. Linear predictor on linearly-generated data with missing values: non consistency and solutions. Proceedings of Machine Learning Research, PMLR, In press. ⟨hal-02464569v2⟩

Jérôme Dockès, Russell Poldrack, Romain Primet, Hande Gözükan, Tal Yarkoni, et al.. NeuroQuery, comprehensive meta-analysis of human brain mapping. eLife, eLife Sciences Publication, 2020. ⟨hal-02485642v2⟩

Mehdi Rahim, Bertrand Thirion, Gaël Varoquaux. Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation. Medical Image Analysis, Elsevier, 2019, ⟨10.1016/j.media.2019.03.001⟩. ⟨hal-02068389⟩

Teresa Karrer, Danielle S. Bassett, Birgit Derntl, Oliver Gruber, Andre Aleman, et al.. Brain-based ranking of cognitive domains to predict schizophrenia. Human Brain Mapping, Wiley, 2019, ⟨10.1002/hbm.24716⟩. ⟨hal-02180311⟩

Kamalaker Dadi, Mehdi Rahim, Alexandre Abraham, Darya Chyzhyk, Michael Milham, et al.. Benchmarking functional connectome-based predictive models for resting-state fMRI. NeuroImage, Elsevier, 2019, pp.115-134. ⟨10.1016/j.neuroimage.2019.02.062⟩. ⟨hal-01824205v3⟩

Gaël Varoquaux, Russell Poldrack. Predictive models avoid excessive reductionism in cognitive neuroimaging. Current Opinion in Neurobiology, Elsevier, In press, 55, ⟨10.1016/j.conb.2018.11.002⟩. ⟨hal-01856412v4⟩

Gaël Varoquaux, Yannick Schwartz, Russell Poldrack, Baptiste Gauthier, Danilo Bzdok, et al.. Atlases of cognition with large-scale human brain mapping. PLoS Computational Biology, Public Library of Science, 2018, 14 (11), pp.e1006565. ⟨10.1371/journal.pcbi.1006565⟩. ⟨inserm-02146700⟩

Gaël Varoquaux, Yannick Schwartz, Russell Poldrack, Baptiste Gauthier, Danilo Bzdok, et al.. Atlases of cognition with large-scale brain mapping. PLoS Computational Biology, Public Library of Science, In press. ⟨hal-01908189⟩

Patricio Cerda, Gaël Varoquaux, Balázs Kégl. Similarity encoding for learning with dirty categorical variables. Machine Learning, Springer Verlag, 2018, ⟨10.1007/s10994-018-5724-2⟩. ⟨hal-01806175⟩

Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux. Stochastic Subsampling for Factorizing Huge Matrices. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2018, 66 (1), pp.113-128. ⟨10.1109/TSP.2017.2752697⟩. ⟨hal-01431618v3⟩

Julius Kernbach, B Yeo, Jonathan Smallwood, Daniel Margulies, Michel Thiebaut de Schotten, et al.. Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants. Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2018, ⟨10.1073/pnas.1804876115⟩. ⟨hal-01926796⟩

Jeremy Lefort-Besnard, Danielle S Bassett, Jonathan Smallwood, Daniel S. Margulies, Birgit Derntl, et al.. Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function. Human Brain Mapping, Wiley, 2018, pp.1-52. ⟨hal-01620441⟩

Jeremy Lefort-Besnard, Gaël Varoquaux, Birgit Derntl, Oliver Gruber, Andre Aleman, et al.. Patterns of Schizophrenia Symptoms: Hidden Structure in the PANSS Questionnaire. Translational Psychiatry, Nature Pub. Group, In press, ⟨10.1038/s41398-018-0294-4⟩. ⟨hal-01888918⟩

Julius Kernbach, Theodore Satterthwaite, Danielle S. Bassett, Jonathan Smallwood, Daniel Margulies, et al.. Shared Endo-phenotypes of Default Mode Dysfunction in Attention Deficit/Hyperactivity Disorder and Autism Spectrum Disorder. Translational Psychiatry, Nature Pub. Group, 2018. ⟨hal-01790245⟩

Elvis Dohmatob, Gaël Varoquaux, Bertrand Thirion. Inter-subject registration of functional images: do we need anatomical images ?. Frontiers in Neuroscience, Frontiers, In press. ⟨hal-01701619⟩

Gaël Varoquaux. Cross-validation failure: small sample sizes lead to large error bars. NeuroImage, Elsevier, 2017, ⟨10.1016/j.neuroimage.2017.06.061⟩. ⟨hal-01545002⟩

Andrés Hoyos-Idrobo, Gaël Varoquaux, Yannick Schwartz, Bertrand Thirion. FReM – scalable and stable decoding with fast regularized ensemble of models. NeuroImage, Elsevier, 2017, pp.1-16. ⟨10.1016/j.neuroimage.2017.10.005⟩. ⟨hal-01615015⟩

João Loula, Gaël Varoquaux, Bertrand Thirion. Decoding fMRI activity in the time domain improves classification performance. NeuroImage, Elsevier, 2017, ⟨10.1016/j.neuroimage.2017.08.018⟩. ⟨hal-01576641⟩

Mehdi Rahim, Bertrand Thirion, Danilo Bzdok, Irène Buvat, Gaël Varoquaux. Joint prediction of multiple scores captures better individual traits from brain images. NeuroImage, Elsevier, 2017, ⟨10.1016/j.neuroimage.2017.06.072⟩. ⟨hal-01547524⟩

Bernard Ng, Gaël Varoquaux, Jean Baptiste Poline, Bertrand Thirion, Michael Greicius, et al.. Distinct alterations in Parkinson's Medication-state and Disease-state Connectivity Running Title: PD altered connectivity. Neuroimage-Clinical, Elsevier, 2017. ⟨hal-01614971⟩

Danilo Bzdok, Gaël Varoquaux, Olivier Grisel, Michael Eickenberg, Cyril Poupon, et al.. Formal Models of the Network Co-occurrence Underlying Mental Operations. PLoS Computational Biology, Public Library of Science, 2016, ⟨10.1371/journal.pcbi.1004994⟩. ⟨hal-01338307⟩

Andrés Hoyos-Idrobo, Gaël Varoquaux, Jonas Kahn, Bertrand Thirion. Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, In press, XX, ⟨10.1109/TPAMI.2018.2815524⟩. ⟨hal-01366651v2⟩

Gaël Varoquaux. Beyond computational reproducibility, let us aim for reusability. IEEE CIS Newsletter on Cognitive and Developmental Systems, IEEE CIS Technical Committee on CDS, 2016, What is Computational Reproducibility?, 13 (2). ⟨hal-01592368⟩

Simon Eickhoff, Bertrand Thirion, Gaël Varoquaux, Danilo Bzdok. Connectivity-Based Parcellation: Critique and Implications. Human Brain Mapping, Wiley, 2016, pp.22. ⟨10.1002/hbm.22933⟩. ⟨hal-01184563⟩

Gaël Varoquaux, Pradeep Reddy Raamana, Denis Engemann, Andrés Hoyos-Idrobo, Yannick Schwartz, et al.. Assessing and tuning brain decoders: cross-validation, caveats, and guidelines. NeuroImage, Elsevier, 2016, ⟨10.1016/j.neuroimage.2016.10.038⟩. ⟨hal-01332785v2⟩

M Florencia Assaneo, Jacobo Sitt, Gaël Varoquaux, Mariano Sigman, Laurent Cohen, et al.. Exploring the anatomical encoding of voice with a mathematical model of the vocal system.. NeuroImage, Elsevier, 2016, 141, pp.31-9. ⟨10.1016/j.neuroimage.2016.07.033⟩. ⟨hal-01498364⟩

Alexandre Abraham, Michael Milham, Adriana Di Martino, R. Cameron Craddock, Dimitris Samaras, et al.. Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example. NeuroImage, Elsevier, 2016, ⟨10.1016/j.neuroimage.2016.10.045⟩. ⟨hal-01398867⟩

Franziskus Liem, Gaël Varoquaux, Jana Kynast, Frauke Beyer, Shahrzad Kharabian Masouleh, et al.. Predicting brain-age from multimodal imaging data captures cognitive impairment. NeuroImage, Elsevier, 2016, ⟨10.1016/j.neuroimage.2016.11.005⟩. ⟨hal-01403005⟩

Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Seeing it all: Convolutional network layers map the function of the human visual system. NeuroImage, Elsevier, 2016, ⟨10.1016/j.neuroimage.2016.10.001⟩. ⟨hal-01389809⟩

Krzysztof Gorgolewski, Tibor Auer, Vince Calhoun, Cameron Craddock, Samir Das, et al.. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific Data , Nature Publishing Group, 2016, 3, pp.160044. ⟨10.1038/sdata.2016.44⟩. ⟨inserm-01345616⟩

Danilo Bzdok, Gaël Varoquaux, Bertrand Thirion. Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-sample Generalization. Educational and Psychological Measurement, SAGE Publications, 2016. ⟨hal-01338313⟩

Mehdi Rahim, Bertrand Thirion, Claude Comtat, Gaël Varoquaux. Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2016, 10 (7), pp.1204 - 1213. ⟨10.1109/JSTSP.2016.2600400⟩. ⟨hal-01353728⟩

Bernard Ng, Gaël Varoquaux, Jean-Baptiste Poline, Michael D Greicius, Bertrand Thirion. Transport on Riemannian Manifold for Connectivity-based Brain Decoding. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2015, PP (99), pp.9. ⟨10.1109/TMI.2015.2463723⟩. ⟨hal-01185200⟩

Eugene Belilovsky, Andreas Argyriou, Gaël Varoquaux, Matthew Blaschko. Convex relaxations of penalties for sparse correlated variables with bounded total variation. Machine Learning, Springer Verlag, 2015, pp.1-21. ⟨10.1007/s10994-015-5511-2⟩. ⟨hal-01167861⟩

Krzysztof Gorgolewski, Gael Varoquaux, Gabriel Rivera, Yannick Schwartz, Vanessa Sochat, et al.. NeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain. NeuroImage, Elsevier, 2015, 124 (Pt B), pp.1242-1244. ⟨10.1016/j.neuroimage.2015.04.016⟩. ⟨inserm-01148969⟩

Krzysztof Gorgolewski, Gael Varoquaux, Gabriel Rivera, Yannick Schwarz, Satrajit Ghosh, et al.. NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain. Frontiers in Neuroinformatics, Frontiers, 2015, 9 (8), ⟨10.3389/fninf.2015.00008⟩. ⟨inserm-01134573v2⟩

Anna-Clare Milazzo, Bernard Ng, Heidi Jiang, William Shirer, Gael Varoquaux, et al.. Identification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm.. Cerebral Cortex, Oxford University Press (OUP), 2014, pp.12. ⟨hal-01094759⟩

Bertrand Thirion, Gaël Varoquaux, Elvis Dohmatob, Jean-Baptiste Poline. Which fMRI clustering gives good brain parcellations?. Frontiers in Neuroscience, Frontiers, 2014, 8 (167), pp.13. ⟨10.3389/fnins.2014.00167⟩. ⟨hal-01015172⟩

Benoit da Mota, Radu Tudoran, Alexandru Costan, Gaël Varoquaux, Goetz Brasche, et al.. Machine Learning Patterns for Neuroimaging-Genetic Studies in the Cloud. Frontiers in Neuroinformatics, Frontiers, 2014, Recent advances and the future generation of neuroinformatics infrastructure, 8, ⟨10.3389/fninf.2014.00031⟩. ⟨hal-01057325⟩

Gaël Varoquaux, Bertrand Thirion. How machine learning is shaping cognitive neuroimaging. GigaScience, BioMed Central, 2014, 3, pp.28. ⟨10.1186/2047-217X-3-28⟩. ⟨hal-01094737⟩

Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, David Sharp, Christian Ledig, et al.. A framework for inter-subject prediction of functional connectivity from structural networks. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2013, epub ahead of print, ⟨10.1109/TMI.2013.2276916⟩. ⟨hal-00852072⟩

Benoit da Mota, Virgile Fritsch, Gaël Varoquaux, Tobias Banaschewski, Gareth J. Barker, et al.. Randomized parcellation based inference.. NeuroImage, Elsevier, 2013, epub ahead of print. ⟨10.1016/j.neuroimage.2013.11.012⟩. ⟨hal-00915243⟩

Gaël Varoquaux, R. Cameron Craddock. Learning and comparing functional connectomes across subjects. NeuroImage, Elsevier, 2013, 80, pp.405-415. ⟨10.1016/j.neuroimage.2013.04.007⟩. ⟨hal-00812911⟩

Lixia Tian, Yazhuo Kong, Juejing Ren, Gaël Varoquaux, Yufeng Zang, et al.. Spatial vs. Temporal Features in ICA of Resting-State fMRI - A Quantitative and Qualitative Investigation in the Context of Response Inhibition. PLoS ONE, Public Library of Science, 2013, ⟨10.1371/journal.pone.0066572⟩. ⟨hal-00856513⟩

Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Muller, et al.. Machine Learning for Neuroimaging with Scikit-Learn. Frontiers in Neuroscience, Frontiers, 2013, pp.15. ⟨10.3389/fninf.2014.00014⟩. ⟨hal-01093971⟩

Christophe Pradal, Gaël Varoquaux, Hans Peter Langtangen. Publishing scientific software matters. Journal of computational science, Elsevier, 2013, 4 (5), pp.311 - 312. ⟨10.1016/j.jocs.2013.08.001⟩. ⟨hal-00858663⟩

Virgile Fritsch, Gaël Varoquaux, Benjamin Thyreau, Jean-Baptiste Poline, Bertrand Thirion. Detecting Outliers in High-Dimensional Neuroimaging Datasets with Robust Covariance Estimators. Medical Image Analysis, Elsevier, 2012, 16, pp.1359-1370. ⟨10.1016/j.media.2012.05.002⟩. ⟨hal-00701225⟩

Cameron Neylon, Jan Aerts, C Titus Brown, Simon J Coles, Les Hatton, et al.. Changing computational research. The challenges ahead.. Source Code for Biology and Medicine, BioMed Central, 2012, 7 (2), pp.2. ⟨10.1186/1751-0473-7-2⟩. ⟨hal-00856484⟩

Gaël Varoquaux, Alexandre Gramfort, Jean Baptiste Poline, Bertrand Thirion. Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks?. Journal of Physiology - Paris, Elsevier, 2012, 106, pp.212-221. ⟨10.1016/j.jphysparis.2012.01.001⟩. ⟨hal-00665340v2⟩

P. Ciuciu, G. Varoquaux, P. Abry, S. Sadaghiani, A. Kleinschmidt. Scale-Free and Multifractal Time Dynamics of fMRI Signals during Rest and Task.. Frontiers in Physiology, Frontiers, 2012, 3 (1), pp.186. ⟨10.3389/fphys.2012.00186⟩. ⟨hal-00852175⟩

Marie-Laure Grillon, Catherine Oppenheim, Gaël Varoquaux, Frédérique Charbonneau, Anne-Dominique Devauchelle, et al.. Hyperfrontality and hypoconnectivity during refreshing in schizophrenia.. Psychiatry Research: Neuroimaging, Elsevier, 2012, 211 (3), pp.226-233. ⟨10.1016/j.pscychresns.2012.09.001⟩. ⟨hal-00753225⟩

Yannick Schwartz, Alexis Barbot, Benjamin Thyreau, Vincent Frouin, Gaël Varoquaux, et al.. PyXNAT: XNAT in Python. Frontiers in Neuroinformatics, Frontiers, 2012, 6 (12), pp.1-14. ⟨10.3389/fninf.2012.00012⟩. ⟨hal-00782339⟩

Emmanuelle Gouillart, Michael-J. Toplis, Julien Grynberg, Marie-Hélène Chopinet, Elin Sondergard, et al.. In Situ Synchrotron Microtomography Reveals Multiple Reaction Pathways During Soda-Lime Glass Synthesis. Journal of the American Ceramic Society, Wiley, 2012, 95 (5), pp.1504-1507. ⟨10.1111/j.1551-2916.2012.05151.x⟩. ⟨hal-00705955⟩

Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Evelyn Eger, Christine Keribin, et al.. A supervised clustering approach for fMRI-based inference of brain states. Pattern Recognition, Elsevier, 2011, epub ahead of print. ⟨10.1016/j.patcog.2011.04.006⟩. ⟨inria-00589201⟩

Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Evelyn Eger, Bertrand Thirion. Total variation regularization for fMRI-based prediction of behaviour.. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2011, 30 (7), pp.1328 - 1340. ⟨10.1109/TMI.2011.2113378⟩. ⟨inria-00563468⟩

Stefan van der Walt, S. Chris Colbert, Gaël Varoquaux. The NumPy array: a structure for efficient numerical computation. Computing in Science and Engineering, Institute of Electrical and Electronics Engineers, 2011, 13 (2), pp.22-30. ⟨10.1109/MCSE.2011.37⟩. ⟨inria-00564007⟩

Prabhu Ramachandran, Gaël Varoquaux. Mayavi: 3D visualization of scientific data. Computing in Science and Engineering, Institute of Electrical and Electronics Engineers, 2011, 13 (2), pp.40-51. ⟨10.1109/MCSE.2011.35⟩. ⟨inria-00528985⟩

Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, et al.. Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, Microtome Publishing, 2011. ⟨hal-00650905v2⟩

Gaël Varoquaux, Sepideh Sadaghiani, Philippe Pinel, Andreas Kleinschmidt, Jean-Baptiste Poline, et al.. A group model for stable multi-subject ICA on fMRI datasets.. NeuroImage, Elsevier, 2010, 51 (1), pp.288-99. ⟨10.1016/j.neuroimage.2010.02.010⟩. ⟨hal-00489507⟩

Gaël Varoquaux. Python comme langage scientifique. Linux Magazine France, Diamond Editions, 2009, Explorer les richesses du langage Python, 40. ⟨hal-00776672⟩

Gaël Varoquaux, Robert Nyman, Rémi Geiger, Patrick Cheinet, Arnaud Landragin, et al.. How to estimate the differential acceleration in a two-species atom interferometer to test the equivalence principle. New Journal of Physics, Institute of Physics: Open Access Journals, 2009, 11, pp.113010. ⟨10.1088/1367-2630/11/11/113010⟩. ⟨hal-00423845⟩

Guillaume Stern, Baptiste Battelier, Rémi Geiger, Gaël Varoquaux, André Villing, et al.. Light-pulse atom interferometry in microgravity. The European Physical Journal D : Atomic, molecular, optical and plasma physics, EDP Sciences, 2009, 53 (3), pp.353. ⟨10.1140/epjd/e2009-00150-5⟩. ⟨hal-00369287⟩

Eric Varoquaux, Gaël Varoquaux. Sagnac effect in superfluid liquids. Uspekhi Fizicheskikh Nauk, 2008, 51 (2), pp.205-208. ⟨10.1070/PU2008v051n02ABEH006425⟩. ⟨hal-00502604⟩

Jean-Philippe Brantut, Jean-François Clément, Martin Robert-De-Saint-Vincent, Gaël Varoquaux, Robert Nyman, et al.. Light-shift tomography in an optical-dipole trap for neutral atoms. Physical Review A, American Physical Society, 2008, 78, pp.031401 (R). ⟨10.1103/PhysRevA.78.031401⟩. ⟨hal-00303321⟩

Gaël Varoquaux. Agile Computer Control of a Complex Experiment. Computing in Science and Engineering, Institute of Electrical and Electronics Engineers, 2008, 10 (2), pp.55-59. ⟨10.1109/MCSE.2008.47⟩. ⟨hal-00502504⟩

Robert Nyman, Gaël Varoquaux, Brice Villier, Delphine Sacchet, Frédéric Moron, et al.. Tapered-amplified AR-coated laser diodes for Potassium and Rubidium atomic-physics experiments. Review of Scientific Instruments, American Institute of Physics, 2006, 77, pp.033105. ⟨10.1063/1.2186809⟩. ⟨hal-00014931⟩

Robert Nyman, Gaël Varoquaux, Fabien Lienhart, Damien Chambon, Salah Boussen, et al.. I.C.E.: a Transportable Atomic Inertial Sensor for Test in Microgravity. Applied Physics B - Laser and Optics, Springer Verlag, 2006, 84, pp.673-681. ⟨10.1007/s00340-006-2395-7⟩. ⟨hal-00023609⟩

Meyer Scetbon, Gaël Varoquaux. Comparing distributions: $l1$ geometry improves kernel two-sample testing. NeurIPS 2019 - 33th Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02292545v2⟩

Sergül Aydöre, Bertrand Thirion, Gaël Varoquaux. Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data. NeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02318458⟩

David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis Engemann. Manifold-regression to predict from MEG/EEG brain signals without source modeling. NeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02147708v2⟩

Jérôme Dockès, Demian Wassermann, Russell Poldrack, Fabian Suchanek, Bertrand Thirion, et al.. Text to brain: predicting the spatial distribution of neuroimaging observations from text reports. MICCAI 2018 - 21st International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2018, Granada, Spain. pp.1-18. ⟨hal-01807295v3⟩

Darya Chyzhyk, Gaël Varoquaux, Bertrand Thirion, Michael Milham. Controlling a confound in predictive models with a test set minimizing its effect. PRNI 2018 - 8th International Workshop on Pattern Recognition in Neuroimaging, Jun 2018, Singapore, Singapore. pp.1-4. ⟨hal-01831701⟩

Andrés Hoyos-Idrobo, Gaël Varoquaux, Bertrand Thirion. Towards a Faster Randomized Parcellation Based Inference. PRNI 2017 - 7th International Workshop on Pattern Recognition in NeuroImaging, Jun 2017, Toronto, Canada. ⟨hal-01552237⟩

Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion. Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging. International conference on Information Processing in Medical Imaging (IPMI) 2017, Jun 2017, Boone, North Carolina, United States. ⟨hal-01480885⟩

Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew Blaschko. Learning to Discover Sparse Graphical Models. International Conference on Machine Learning , Aug 2017, Sydney, Australia. ⟨hal-01306491v4⟩

Mehdi Rahim, Bertrand Thirion, Gaël Varoquaux. Population-shrinkage of covariance to estimate better brain functional connectivity. Medical Image Computing and Computer Assisted Interventions, Sep 2017, Quebec city, Canada. ⟨hal-01547612⟩

Mehdi Rahim, Bertrand Thirion, Gaël Varoquaux. Multi-output predictions from neuroimaging: assessing reduced-rank linear models. PRNI 2017 - The 7th International Workshop on Pattern Recognition in Neuroimaging, Jun 2017, Toronto, Canada. pp.1 - 4, ⟨10.1109/PRNI.2017.7981504⟩. ⟨hal-01547572v2⟩

Marc-Andre Schulz, Gaël Varoquaux, Alexandre Gramfort, Bertrand Thirion, Danilo Bzdok. Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction. Neural Information Processing Systems, Machine Learning in Health Workshop, Dec 2017, Long Beach, United States. ⟨hal-01633096⟩

Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux. Learning Neural Representations of Human Cognition across Many fMRI Studies. Neural Information Processing Systems, Dec 2017, Long Beach, United States. ⟨hal-01626823v3⟩

Elvis Dohmatob, Arthur Mensch, Gaël Varoquaux, Bertrand Thirion. Learning brain regions via large-scale online structured sparse dictionary-learning. Neural Information Processing Systems (NIPS), Dec 2016, Barcelona, Spain. ⟨hal-01369134v3⟩

Arthur Mensch, Julien Mairal, Gaël Varoquaux, Bertrand Thirion. Subsampled online matrix factorization with convergence guarantees. NIPS Workshop on Optimization for Machine Learning, Dec 2016, Barcelone, Spain. ⟨hal-01405058⟩

Arthur Mensch, Gaël Varoquaux, Bertrand Thirion. Compressed Online Dictionary Learning for Fast Resting-State fMRI Decomposition. International Symposium on Biomedical Imaging, IEEE, Apr 2016, Prague, Czech Republic. pp.1282-1285, ⟨10.1109/ISBI.2016.7493501⟩. ⟨hal-01271033v2⟩

Andrés Hoyos-Idrobo, Gaël Varoquaux, Bertrand Thirion. Fast brain decoding with random sampling and random projections. PRNI 2016: the 6th International Workshop on Pattern Recognition in Neuroimaging, Jun 2016, Trento, Italy. ⟨hal-01313814⟩

Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux. Local Q-Linear Convergence and Finite-time Active Set Identification of ADMM on a Class of Penalized Regression Problems. ICASSP, International Conference on Acoustics, Speach, and Signal Processing, Mar 2016, http://icassp2016.org/default.asp, China. ⟨hal-01265372⟩

Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux. Dictionary Learning for Massive Matrix Factorization. International Conference on Machine Learning, Jun 2016, New York, United States. pp.1737-1746. ⟨hal-01308934v2⟩

Kamalaker Dadi, Alexandre Abraham, Mehdi Rahim, Bertrand Thirion, Gaël Varoquaux. Comparing functional connectivity based predictive models across datasets. PRNI 2016: 6th International Workshop on Pattern Recognition in Neuroimaging, Jun 2016, Trento, Italy. ⟨hal-01319131⟩

Krzysztof Gorgolewski, Tibor Auer, Vince D Calhoun, Cameron Craddock, Samir Das, et al.. The Brain Imaging Data Structure: a format for organizing and describing neuroimaging data. 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), Jun 2016, Geneva, Switzerland. ⟨inserm-01570685⟩

Gaël Varoquaux, Matthieu Kowalski, Bertrand Thirion. Social-sparsity brain decoders: faster spatial sparsity. Pattern Recognition in NeuroImaging, Jun 2016, Trento, Italy. ⟨hal-01334551⟩

Eugene Belilovsky, Gaël Varoquaux, Matthew B. Blaschko. Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity. Neural Information Processing Systems (NIPS) 2016, Dec 2016, Barcelona, Spain. ⟨hal-01248844v4⟩

Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion, Gaël Varoquaux. Total Variation meets Sparsity: statistical learning with segmenting penalties. Medical Image Computing and Computer Aided Intervention (MICCAI), Oct 2015, München, Germany. ⟨hal-01170619⟩

Bertrand Thirion, Andrés Hoyos-Idrobo, Jonas Kahn, Gaël Varoquaux. Fast clustering for scalable statistical analysis on structured images. ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Bertrand Thirion, Lars Kai Hansen, Sanmi Koyejo, Jul 2015, Lille, France. ⟨hal-01229023v2⟩

Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gaël Varoquaux. Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data. NIPS'15: 28th International Conference on Neural Information Processing Systems, Dec 2015, Montreal, Canada. ⟨hal-01211248⟩

Andrés Hoyos-Idrobo, Yannick Schwartz, Gaël Varoquaux, Bertrand Thirion. Improving sparse recovery on structured images with bagged clustering. International Workshop On Pattern Recognition In Neuroimaging (PRNI), 2015, Jun 2015, Palo alto, United States. ⟨hal-01174335⟩

Mehdi Rahim, Bertrand Thirion, Alexandre Abraham, Michael Eickenberg, Elvis Dohmatob, et al.. Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease. Medical Image Computing and Computer Assisted Intervention, Oct 2015, Munich, Germany. ⟨10.1007/978-3-319-24553-9_26⟩. ⟨hal-01174636⟩

Krzysztof Gorgolewski, Gaël Varoquaux, Gabriel Rivera, Joseph Wexler, Yannick Schwartz, et al.. NeuroVault.org: new features and a proof of concept analysis. 21st Annual Meeting of the Organization for Human Brain Mapping (OHBM 2015), Jun 2015, Honolulu, United States. ⟨inserm-01570688⟩

Gaël Varoquaux, Michael Eickenberg, Elvis Dohmatob, Bertand Thirion. FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging. Colloque GRETSI, P. Gonçalves, P. Abry, Sep 2015, Lyon, France. ⟨hal-01247388⟩

Bertrand Thirion, Fabian Pedregosa, Michael Eickenberg, Gaël Varoquaux. Correlations of correlations are not reliable statistics: implications for multivariate pattern analysis.. ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Bertrand Thirion, Lars Kai Hansen, Sanmi Koyejo, Jul 2015, Lille, France. ⟨hal-01187297⟩

Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux. Speeding-up model-selection in GraphNet via early-stopping and univariate feature-screening. PRNI, Jun 2015, Stanford, United States. ⟨hal-01147731⟩

Bernard Ng, Martin Dressler, Gaël Varoquaux, Jean-Baptiste Poline, Michael Greicius, et al.. Transport on Riemannian Manifold for Functional Connectivity-based Classification. MICCAI - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Polina Golland, Sep 2014, Boston, United States. ⟨hal-01058521⟩

Bertrand Thirion, Gaël Varoquaux, Olivier Grisel, Cyril Poupon, Philippe Pinel. Principal Component Regression predicts functional responses across individuals. MICCAI, Sep 2014, Boston, United States. ⟨hal-01015173⟩

Ronald Phlypo, Bertrand Thirion, Gaël Varoquaux. Deriving a multi-subject functional-connectivity atlas to inform connectome estimation. Medical Image Computing and Computer-Assisted Intervention, Sep 2014, Boston, United States. pp.185-192, ⟨10.1007/978-3-319-10443-0_24⟩. ⟨hal-00991124v4⟩

Elvis Dohmatob, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux. Benchmarking solvers for TV-l1 least-squares and logistic regression in brain imaging. Pattern Recoginition in Neuroimaging (PRNI), Jun 2014, Tübingen, Germany. ⟨hal-00991743⟩

Bernard Ng, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion. Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation. MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Kensaku Mori, Sep 2013, Nagoya, Japan. ⟨hal-00853108⟩

Solveig Badillo, Gaël Varoquaux, Philippe Ciuciu. Hemodynamic estimation based on Consensus Clustering. PRNI 2013 -- 3rd International Workshop on Pattern Recognition in NeuroImaging, Jun 2013, Philadelphia, United States. ⟨hal-00854621⟩

Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, et al.. API design for machine learning software: experiences from the scikit-learn project. European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic. ⟨hal-00856511⟩

Yannick Schwartz, Bertrand Thirion, Gaël Varoquaux. Mapping cognitive ontologies to and from the brain. NIPS (Neural Information Processing Systems), Dec 2013, United States. ⟨hal-00904763v2⟩

Viviana Siless, Sergio Medina, Gaël Varoquaux, Bertrand Thirion. A Comparison of Metrics and Algorithms for Fiber Clustering. Pattern Recognition in NeuroImaging, Jun 2013, Philadelphia, United States. ⟨hal-00858115⟩

Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux. Extracting brain regions from rest fMRI with Total-Variation constrained dictionary learning. MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Sep 2013, Nagoya, Japan. ⟨hal-00853242⟩

Gaël Varoquaux, Yannick Schwartz, Philippe Pinel, Bertrand Thirion. Cohort-level brain mapping: learning cognitive atoms to single out specialized regions. 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⟩. ⟨hal-00841502⟩

Benoit da Mota, Virgile Fritsch, Gaël Varoquaux, Vincent Frouin, Jean-Baptiste Poline, et al.. Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations. MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Sep 2013, Nagoya, Japan. ⟨hal-00832616⟩

Virgile Fritsch, Benoit da Mota, Gaël Varoquaux, Vincent Frouin, Eva Loth, et al.. Robust Group-Level Inference in Neuroimaging Genetic Studies. Pattern Recognition in Neuroimaging, Jun 2013, Philadelphie, United States. ⟨hal-00833953⟩

Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux. Identifying predictive regions from fMRI with TV-L1 prior. Pattern Recognition in Neuroimaging (PRNI), Jun 2013, Philadelphia, United States. ⟨hal-00839984⟩

Bernard Ng, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion. A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation. Information Processing in Medical Imaging, Jun 2013, Asilomar, United States. ⟨hal-00842607⟩

Gaël Varoquaux, Alexandre Gramfort, Bertrand Thirion. Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering. International Conference on Machine Learning, Andrew McCallum, Jun 2012, Edimbourg, United Kingdom. ⟨hal-00705192⟩

Benoit da Mota, Vincent Frouin, Edouard Duchesnay, Soizic Laguitton, Gaël Varoquaux, et al.. A fast computational framework for genome-wide association studies with neuroimaging data. 20th International Conference on Computational Statistics (COMPSTAT 2012), Aug 2012, Limassol, Cyprus. ⟨hal-00720265⟩

Fabian Pedregosa, Elodie Cauvet, Gaël Varoquaux, Christophe Pallier, Bertrand Thirion, et al.. Improved brain pattern recovery through ranking approaches. PRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, Jul 2012, London, United Kingdom. ⟨hal-00717954⟩

Bernard Ng, Viviana Siless, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion, et al.. Connectivity-informed Sparse Classifiers for fMRI Brain Decoding. Pattern Recognition in Neuroimaging, Christos Davatzikos, Moritz Grosse-Wentrup, Janaina Mourao-Miranda, Dimitri Van De Ville, Jul 2012, London, United Kingdom. ⟨hal-00726656⟩

Yannick Schwartz, Gaël Varoquaux, Bertrand Thirion. On spatial selectivity and prediction across conditions with fMRI. PRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, Jul 2012, London, United Kingdom. pp.53-56. ⟨hal-00728765⟩

Benoit da Mota, Michael Eickenberg, Soizic Laguitton, Vincent Frouin, Gaël Varoquaux, et al.. A MapReduce Approach for Ridge Regression in Neuroimaging-Genetic Studies. 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. ⟨hal-00730385⟩

Alexandre Gramfort, Christophe Pallier, Gaël Varoquaux, Bertrand Thirion. Decoding Visual Percepts Induced by Word Reading with fMRI. Pattern Recognition in NeuroImaging (PRNI), 2012 International Workshop on, Jul 2012, Londres, United Kingdom. pp.13-16, ⟨10.1109/PRNI.2012.20⟩. ⟨hal-00730768⟩

Yannick Schwartz, Gaël Varoquaux, Christophe Pallier, Philippe Pinel, Jean-Baptiste Poline, et al.. Improving accuracy and power with transfer learning using a meta-analytic database. MICCAI, Oct 2012, Nice, France. pp.1-8. ⟨hal-00734911v2⟩

Fabian Pedregosa, Elodie Cauvet, Gaël Varoquaux, Christophe Pallier, Bertrand Thirion, et al.. Learning to rank from medical imaging data. Third International Workshop on Machine Learning in Medical Imaging - MLMI 2012, INRIA, Oct 2012, Nice, France. ⟨hal-00717990v2⟩

Virgile Fritsch, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion. Non-parametric Density Modeling and Outlier Detection in Medical Imaging Datasets. Machine Learning in Medical Imaging - Miccai 2012 workshop, Oct 2012, Nice, France. pp.207-214. ⟨hal-00738438⟩

Bernard Ng, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion. A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference. Medical Image Computing and Computer Assisted Intervention, Oct 2012, Nice, France. ⟨hal-00741631⟩

Vincent Michel, Alexandre Gramfort, Evelyn Eger, Gaël Varoquaux, Bertrand Thirion. A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding. MLINI - Machine Learning and Interpretation in Neuroimaging - 2011, Dec 2011, Sierra Nevada, Spain. pp.1-8, ⟨10.1007/978-3-642-34713-9_1⟩. ⟨hal-00753142⟩

Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Beyond brain reading: randomized sparsity and clustering to simultaneously predict and identify. NIPS 2011 MLINI Workshop, Dec 2011, Granada, Spain. pp.9-16, ⟨10.1007/978-3-642-34713-9_2⟩. ⟨hal-00704875⟩

Philippe Ciuciu, Gaël Varoquaux, Patrice Abry, Moty Almog. MULTIFRACTAL ANALYSIS OF RESTING STATE NETWORKS IN FUNCTIONAL MRI. IEEE International Symposium on Biomedical Imaging, Mar 2011, Chicago, United States. paper ID 1544. ⟨cea-00558870⟩

Bernard Ng, Abugharbieh Rafeef, Gaël Varoquaux, Jean Baptiste Poline, Bertrand Thirion. Connectivity-informed fMRI Activation Detection. Medical Image Computing and Computed Aided Intervention, Sep 2011, Toronto, Canada. pp.285-292, ⟨10.1007/978-3-642-23629-7_35⟩. ⟨inria-00627523⟩

Gaël Varoquaux, Alexandre Gramfort, Fabian Pedregosa, Vincent Michel, Bertrand Thirion. Multi-subject dictionary learning to segment an atlas of brain spontaneous activity. Information Processing in Medical Imaging, Gábor Székely, Horst Hahn, Jul 2011, Kaufbeuren, Germany. pp.562-573, ⟨10.1007/978-3-642-22092-0_46⟩. ⟨inria-00588898v2⟩

Virgile Fritsch, Gaël Varoquaux, Thyreau Benjamin, Jean-Baptiste Poline, Bertrand Thirion. Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant. Medical Image Computing and Computer Assisted Intervention, Sep 2011, Toronto, Canada. pp. 264-271, ⟨10.1007/978-3-642-23626-6_33⟩. ⟨inria-00626857⟩

Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, Emma Robinson, David Sharp, et al.. A probabilistic framework to infer brain functional connectivity from anatomical connections. Information Processing in Medical Imaging, Gábor Székely, Horst Hahn, Jul 2011, Kaufbeuren, Germany. pp.296-307, ⟨10.1007/978-3-642-22092-0_25⟩. ⟨inria-00627914⟩

Gaël Varoquaux, Bertrand Thirion. Statistical Learning for Resting-State fMRI: Successes and Challenges. Machine Learning and Interpretation in Neuroimaging, NIPS workshop, Dec 2011, Sierra Nevada, Spain. pp.172-177, ⟨10.1007/978-3-642-34713-9_22⟩. ⟨hal-00753132⟩

Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Total Variation regularization enhances regression-based brain activity prediction. 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⟩. ⟨hal-00504095⟩

Gaël Varoquaux, Flore Baronnet, Andreas Kleinschmidt, Pierre Fillard, Bertrand Thirion. Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling. Medical Image Computing and Computer Added Intervention, Tianzi Jiang, Sep 2010, Beijing, China. ⟨10.1007/978-3-642-15705-9_25⟩. ⟨inria-00512417⟩

Bertrand Thirion, Gaël Varoquaux, Jean-Baptiste Poline. Accurate Definition of Brain Regions Position Through the Functional Landmark Approach. 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2010, Beijing, China. ⟨inria-00521909⟩

Gaël Varoquaux, Alexandre Gramfort, Jean Baptiste Poline, Bertrand Thirion. Brain covariance selection: better individual functional connectivity models using population prior. Advances in Neural Information Processing Systems, John Lafferty, Dec 2010, Vancouver, Canada. ⟨inria-00512451v4⟩

Gaël Varoquaux, Merlin Keller, Jean Baptiste Poline, Philippe Ciuciu, Bertrand Thirion. ICA-based sparse feature recovery from fMRI datasets. Biomedical Imaging, IEEE International Symposium on, Apr 2010, Rotterdam, Netherlands. pp.1177. ⟨hal-00489506⟩

Gaël Varoquaux, Stefan van der Walt, Jarrod Millman. Proceedings of the 8th Python in Science conference. SciPy 2009: 8th Python in Science Conference, Aug 2009, Pasadena, United States. pp.1-78. ⟨hal-00502607⟩

Gaël Varoquaux, Sepideh Sadaghiani, Jean Baptiste Poline, Bertrand Thirion. CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series. Medical Image Computing and Computer Aided Intervention, Sep 2009, London, United Kingdom. pp.1. ⟨hal-00435262⟩

Gaël Varoquaux, Travis Vaught, Jarrod Millman. Proceedings of the 7th Python in Science conference. SciPy 2008: 7th Python in Science Conference, Aug 2008, Pasadena, United States. pp.1-78. ⟨hal-00502586⟩

Gaël Varoquaux, Prabhu Ramachandran. Mayavi: Making 3D Data Visualization Reusable. SciPy 2008: 7th Python in Science Conference, Aug 2008, Pasadena, United States. pp.51. ⟨hal-00502548⟩

Jean-Philippe Brantut, Gaël Varoquaux, Robert Nyman, Jean-François Clément, Martin Robert-De-Saint-Vincent, et al.. Effects of disorder in 2D. Latsis, Jan 2008, Lausanne, Switzerland. ⟨hal-00637732⟩

Martin Robert-De-Saint-Vincent, Alain Aspect, Thomas Bourdel, Philippe Bouyer, Gaël Varoquaux, et al.. All-optical evaporative cooling in a versatile optical-dipole trap at telecom wavelength. YAO, 2008, Florence, Italy. ⟨hal-00637735⟩

Gaël Varoquaux, Nassim Zahzam, Walid Chaibi, Jean-François Clément, Olivier Carraz, et al.. I.C.E.: An Ultra-Cold Atom Source for Long-Baseline Interferometric Inertial Sensors in Reduced Gravity. Rencontres de Moriond Gravitational Waves and Experimental Gravity, Mar 2007, La Thuile, Val d'Aosta, Italy. ⟨hal-00147641v3⟩

Jérôme Dockès, Olivier Grisel, Joan Massich, Fabian Suchanek, Bertrand Thirion, et al.. Relating Brain Structures To Open-Ended Descriptions Of Cognition. 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⟩. ⟨hal-01699045⟩

Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux. SpaceNet: Multivariate brain decoding and segmentation. OHBM, Jun 2015, Honolulu, Hawaii, United States. ⟨hal-01187230⟩

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

Gaël Varoquaux, Emmanuelle Gouillart, Olav Vahtras, Valentin Haenel, Nicolas P. Rougier, et al.. Scipy Lecture Notes: One document to learn numerics, science, and data with Python. Zenodo, 2015, ⟨10.5281/zenodo.31736⟩. ⟨hal-01206546⟩

Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demian Wassermann, et al.. Fine-grain atlases of functional modes for fMRI analysis. 2020. ⟨hal-02496156⟩

Denis Engemann, Oleh Kozynets, David Sabbagh, Guillaume Lemaître, Gaël Varoquaux, et al.. Combining electrophysiology with MRI enhances learning of surrogate-biomarkers. 2019. ⟨hal-02395406⟩

Julie Josse, Nicolas Prost, Erwan Scornet, Gaël Varoquaux. On the consistency of supervised learning with missing values. 2019. ⟨hal-02024202v2⟩

David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis Engemann. Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states. 2019. ⟨hal-02367411⟩

Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux. Extracting Universal Representations of Cognition across Brain-Imaging Studies. 2018. ⟨hal-01874713v2⟩

Andre Manoel, Florent Krzakala, Bertrand Thirion, Gaël Varoquaux, Lenka Zdeborová. Approximate message-passing for convex optimization with non-separable penalties. 2018. ⟨cea-01932983⟩

Danilo Bzdok, Denis Engemann, Olivier Grisel, Gaël Varoquaux, Bertrand Thirion. Prediction and inference diverge in biomedicine: Simulations and real-world data. 2018. ⟨hal-01848319⟩

Xavier Bouthillier, Gaël Varoquaux. Survey of machine-learning experimental methods at NeurIPS2019 and ICLR2020. [Research Report] Inria Saclay Ile de France. 2020. ⟨hal-02447823⟩

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