Gaël Varoquaux
207
Documents
Identifiants chercheurs
- gael-varoquaux
- 0000-0003-1076-5122
- IdRef : 126239894
Présentation
Publications
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Learning High-Quality and General-Purpose Phrase RepresentationsEACL 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
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Beyond calibration: estimating the grouping loss of modern neural networksICLR 2023 – The Eleventh International Conference on Learning Representations, May 2023, Kigali, Rwanda
Communication dans un congrès
hal-03829870v4
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The Locality and Symmetry of Positional EncodingsEMNLP 2023 - Conference on Empirical Methods in Natural Language Processing, Dec 2023, Singapore, Singapore
Communication dans un congrès
hal-04330367v1
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GLADIS: A General and Large Acronym Disambiguation BenchmarkEACL 2023 - The 17th Conference of the European Chapter of the Association for Computational Linguistics, May 2023, Dubrovnik, Croatia
Communication dans un congrès
hal-04039173v1
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Imputing out-of-vocabulary embeddings with LOVE makes language models robust with little costACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, May 2022, Dublin, Ireland
Communication dans un congrès
hal-03613101v2
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Why do tree-based models still outperform deep learning on typical tabular data?36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, Nov 2022, New Orleans, United States
Communication dans un congrès
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What's a good imputation to predict with missing values?NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Virtual, France
Communication dans un congrès
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Accounting for variance in machine learning benchmarksMLsys 2021 - 4th Conference on Machine Learning and Systems, Apr 2021, San Francisco (virtual), United States
Communication dans un congrès
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AI as statistical methods for imperfect theoriesNeurIPS 2021 - 35th Conference on Neural Information Processing Systems. Workshop: AI for Science, Dec 2021, Virtual, France
Communication dans un congrès
hal-03474791v2
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A lightweight neural model for biomedical entity linkingAAAI 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
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Linear predictor on linearly-generated data with missing values: non consistency and solutionsAISTATS 2020 - International Conference on Artificial Intelligence and Statistics, Aug 2020, Online, France. pp.3165-3174
Communication dans un congrès
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NeuMiss networks: differentiable programming for supervised learning with missing valuesNeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada
Communication dans un congrès
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Comparing distributions: $l1$ geometry improves kernel two-sample testingNeurIPS 2019 - 33th Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Communication dans un congrès
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Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured DataNeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Communication dans un congrès
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Manifold-regression to predict from MEG/EEG brain signals without source modelingNeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Communication dans un congrès
hal-02147708v2
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Controlling a confound in predictive models with a test set minimizing its effectPRNI 2018 - 8th International Workshop on Pattern Recognition in Neuroimaging, Jun 2018, Singapore, Singapore. pp.1-4
Communication dans un congrès
hal-01831701v1
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Text to brain: predicting the spatial distribution of neuroimaging observations from text reportsMICCAI 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
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Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain ImagingInternational conference on Information Processing in Medical Imaging (IPMI) 2017, Jun 2017, Boone, North Carolina, United States
Communication dans un congrès
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Learning Neural Representations of Human Cognition across Many fMRI StudiesNeural Information Processing Systems, Dec 2017, Long Beach, United States
Communication dans un congrès
hal-01626823v3
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Population-shrinkage of covariance to estimate better brain functional connectivityMedical Image Computing and Computer Assisted Interventions, Sep 2017, Quebec city, Canada
Communication dans un congrès
hal-01547612v1
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Towards a Faster Randomized Parcellation Based InferencePRNI 2017 - 7th International Workshop on Pattern Recognition in NeuroImaging, Jun 2017, Toronto, Canada
Communication dans un congrès
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Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype predictionNeural Information Processing Systems, Machine Learning in Health Workshop, Dec 2017, Long Beach, United States
Communication dans un congrès
hal-01633096v1
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Multi-output predictions from neuroimaging: assessing reduced-rank linear modelsPRNI 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
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Learning to Discover Sparse Graphical ModelsInternational Conference on Machine Learning , Aug 2017, Sydney, Australia
Communication dans un congrès
hal-01306491v4
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Fast brain decoding with random sampling and random projectionsPRNI 2016: the 6th International Workshop on Pattern Recognition in Neuroimaging, Jun 2016, Trento, Italy
Communication dans un congrès
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Subsampled online matrix factorization with convergence guaranteesNIPS Workshop on Optimization for Machine Learning, Dec 2016, Barcelone, Spain
Communication dans un congrès
hal-01405058v1
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The Brain Imaging Data Structure: a format for organizing and describing neuroimaging data22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), Jun 2016, Geneva, Switzerland
Communication dans un congrès
inserm-01570685v1
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Comparing functional connectivity based predictive models across datasetsPRNI 2016: 6th International Workshop on Pattern Recognition in Neuroimaging, Jun 2016, Trento, Italy
Communication dans un congrès
hal-01319131v1
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Local Q-Linear Convergence and Finite-time Active Set Identification of ADMM on a Class of Penalized Regression ProblemsICASSP, International Conference on Acoustics, Speach, and Signal Processing, Mar 2016, http://icassp2016.org/default.asp, China
Communication dans un congrès
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Learning brain regions via large-scale online structured sparse dictionary-learningNeural Information Processing Systems (NIPS), Dec 2016, Barcelona, Spain
Communication dans un congrès
hal-01369134v3
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Dictionary Learning for Massive Matrix FactorizationInternational Conference on Machine Learning, Jun 2016, New York, United States. pp.1737-1746
Communication dans un congrès
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Testing for Differences in Gaussian Graphical Models: Applications to Brain ConnectivityNeural Information Processing Systems (NIPS) 2016, Dec 2016, Barcelona, Spain
Communication dans un congrès
hal-01248844v4
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Compressed Online Dictionary Learning for Fast Resting-State fMRI DecompositionInternational Symposium on Biomedical Imaging, IEEE, Apr 2016, Prague, Czech Republic. pp.1282-1285, ⟨10.1109/ISBI.2016.7493501⟩
Communication dans un congrès
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Social-sparsity brain decoders: faster spatial sparsityPattern Recognition in NeuroImaging, Jun 2016, Trento, Italy
Communication dans un congrès
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FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imagingColloque GRETSI, P. Gonçalves, P. Abry, Sep 2015, Lyon, France
Communication dans un congrès
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Speeding-up model-selection in GraphNet via early-stopping and univariate feature-screeningPRNI, Jun 2015, Stanford, United States
Communication dans un congrès
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Improving sparse recovery on structured images with bagged clusteringInternational Workshop On Pattern Recognition In Neuroimaging (PRNI), 2015, Jun 2015, Palo alto, United States
Communication dans un congrès
hal-01174335v1
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NeuroVault.org: new features and a proof of concept analysis21st Annual Meeting of the Organization for Human Brain Mapping (OHBM 2015), Jun 2015, Honolulu, United States
Communication dans un congrès
inserm-01570688v1
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Total Variation meets Sparsity: statistical learning with segmenting penaltiesMedical Image Computing and Computer Aided Intervention (MICCAI), Oct 2015, München, Germany
Communication dans un congrès
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Fast clustering for scalable statistical analysis on structured imagesICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Bertrand Thirion, Lars Kai Hansen, Sanmi Koyejo, Jul 2015, Lille, France
Communication dans un congrès
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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
Communication dans un congrès
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Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging DataNIPS'15: 28th International Conference on Neural Information Processing Systems, Dec 2015, Montreal, Canada
Communication dans un congrès
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Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's DiseaseMedical Image Computing and Computer Assisted Intervention, Oct 2015, Munich, Germany. ⟨10.1007/978-3-319-24553-9_26⟩
Communication dans un congrès
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Principal Component Regression predicts functional responses across individualsMICCAI, Sep 2014, Boston, United States
Communication dans un congrès
hal-01015173v1
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Deriving a multi-subject functional-connectivity atlas to inform connectome estimationMedical 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
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Transport on Riemannian Manifold for Functional Connectivity-based ClassificationMICCAI - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Polina Golland, Sep 2014, Boston, United States
Communication dans un congrès
hal-01058521v1
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Benchmarking solvers for TV-l1 least-squares and logistic regression in brain imagingPRNI 2014 - 4th International Workshop on Pattern Recognition in NeuroImaging, Jun 2014, Tübingen, Germany
Communication dans un congrès
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A Comparison of Metrics and Algorithms for Fiber ClusteringPattern Recognition in NeuroImaging, Jun 2013, Philadelphia, United States
Communication dans un congrès
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Extracting brain regions from rest fMRI with Total-Variation constrained dictionary learningMICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Sep 2013, Nagoya, Japan
Communication dans un congrès
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Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity EstimationMICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Kensaku Mori, Sep 2013, Nagoya, Japan
Communication dans un congrès
hal-00853108v1
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A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity EstimationInformation Processing in Medical Imaging, Jun 2013, Asilomar, United States
Communication dans un congrès
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Identifying predictive regions from fMRI with TV-L1 priorPattern Recognition in Neuroimaging (PRNI), Jun 2013, Philadelphia, United States
Communication dans un congrès
hal-00839984v1
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Enhancing the Reproducibility of Group Analysis with Randomized Brain ParcellationsMICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Sep 2013, Nagoya, Japan
Communication dans un congrès
hal-00832616v1
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Cohort-level brain mapping: learning cognitive atoms to single out specialized regionsIPMI - 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
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API design for machine learning software: experiences from the scikit-learn projectEuropean Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic
Communication dans un congrès
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Hemodynamic estimation based on Consensus ClusteringPRNI 2013 -- 3rd International Workshop on Pattern Recognition in NeuroImaging, Jun 2013, Philadelphia, United States
Communication dans un congrès
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Robust Group-Level Inference in Neuroimaging Genetic StudiesPattern Recognition in Neuroimaging, Jun 2013, Philadelphie, United States
Communication dans un congrès
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Mapping cognitive ontologies to and from the brainNIPS (Neural Information Processing Systems), Dec 2013, United States
Communication dans un congrès
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A fast computational framework for genome-wide association studies with neuroimaging data20th International Conference on Computational Statistics (COMPSTAT 2012), Aug 2012, Limassol, Cyprus
Communication dans un congrès
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A Novel Sparse Graphical Approach for Multimodal Brain Connectivity InferenceMedical Image Computing and Computer Assisted Intervention, Oct 2012, Nice, France
Communication dans un congrès
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Non-parametric Density Modeling and Outlier Detection in Medical Imaging DatasetsMachine Learning in Medical Imaging - Miccai 2012 workshop, Oct 2012, Nice, France. pp.207-214
Communication dans un congrès
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A MapReduce Approach for Ridge Regression in Neuroimaging-Genetic StudiesDCICTIA-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
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Decoding Visual Percepts Induced by Word Reading with fMRIPattern 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
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Improved brain pattern recovery through ranking approachesPRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, Jul 2012, London, United Kingdom
Communication dans un congrès
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Connectivity-informed Sparse Classifiers for fMRI Brain DecodingPattern Recognition in Neuroimaging, Christos Davatzikos, Moritz Grosse-Wentrup, Janaina Mourao-Miranda, Dimitri Van De Ville, Jul 2012, London, United Kingdom
Communication dans un congrès
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Improving accuracy and power with transfer learning using a meta-analytic databaseMICCAI, Oct 2012, Nice, France. pp.1-8
Communication dans un congrès
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Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clusteringInternational Conference on Machine Learning, Andrew McCallum, Jun 2012, Edimbourg, United Kingdom
Communication dans un congrès
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Learning to rank from medical imaging dataThird International Workshop on Machine Learning in Medical Imaging - MLMI 2012, INRIA, Oct 2012, Nice, France
Communication dans un congrès
hal-00717990v2
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On spatial selectivity and prediction across conditions with fMRIPRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, Jul 2012, London, United Kingdom. pp.53-56
Communication dans un congrès
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A probabilistic framework to infer brain functional connectivity from anatomical connectionsInformation 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
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Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance DeterminantMedical 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
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Connectivity-informed fMRI Activation DetectionMedical 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
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Statistical Learning for Resting-State fMRI: Successes and ChallengesMachine 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
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Multi-subject dictionary learning to segment an atlas of brain spontaneous activityInformation 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
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MULTIFRACTAL ANALYSIS OF RESTING STATE NETWORKS IN FUNCTIONAL MRIIEEE International Symposium on Biomedical Imaging, Mar 2011, Chicago, United States. paper ID 1544
Communication dans un congrès
cea-00558870v1
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A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI DecodingMLINI - 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
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Beyond brain reading: randomized sparsity and clustering to simultaneously predict and identifyNIPS 2011 MLINI Workshop, Dec 2011, Granada, Spain. pp.9-16, ⟨10.1007/978-3-642-34713-9_2⟩
Communication dans un congrès
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Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modelingMedical 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
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Total Variation regularization enhances regression-based brain activity prediction1st 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
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Accurate Definition of Brain Regions Position Through the Functional Landmark Approach13th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2010, Beijing, China
Communication dans un congrès
inria-00521909v1
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ICA-based sparse feature recovery from fMRI datasetsBiomedical Imaging, IEEE International Symposium on, Apr 2010, Rotterdam, Netherlands. pp.1177
Communication dans un congrès
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Brain covariance selection: better individual functional connectivity models using population priorAdvances in Neural Information Processing Systems, John Lafferty, Dec 2010, Vancouver, Canada
Communication dans un congrès
inria-00512451v4
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CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time seriesMedical Image Computing and Computer Aided Intervention, Sep 2009, London, United Kingdom. pp.1
Communication dans un congrès
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Proceedings of the 8th Python in Science conferenceSciPy 2009: 8th Python in Science Conference, Aug 2009, Pasadena, United States. pp.1-78
Communication dans un congrès
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Mayavi: Making 3D Data Visualization ReusableSciPy 2008: 7th Python in Science Conference, Aug 2008, Pasadena, United States. pp.51
Communication dans un congrès
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Effects of disorder in 2DLatsis, Jan 2008, Lausanne, Switzerland
Communication dans un congrès
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All-optical evaporative cooling in a versatile optical-dipole trap at telecom wavelengthYAO, 2008, Florence, Italy
Communication dans un congrès
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Proceedings of the 7th Python in Science conferenceSciPy 2008: 7th Python in Science Conference, Aug 2008, Pasadena, United States. pp.1-78
Communication dans un congrès
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I.C.E.: An Ultra-Cold Atom Source for Long-Baseline Interferometric Inertial Sensors in Reduced GravityRencontres de Moriond Gravitational Waves and Experimental Gravity, Mar 2007, La Thuile, Val d'Aosta, Italy
Communication dans un congrès
hal-00147641v3
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Relating Brain Structures To Open-Ended Descriptions Of CognitionCCN 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
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SpaceNet: Multivariate brain decoding and segmentationOHBM, Jun 2015, Honolulu, Hawaii, United States
Poster de conférence
hal-01187230v1
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Region segmentation for sparse decompositions: better brain parcellations from rest fMRISparsity Techniques in Medical Imaging, Sep 2014, Boston, United States. pp.8
Document associé à des manifestations scientifiques
hal-01093944v1
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Scipy Lecture NotesZenodo, 2015, ⟨10.5281/zenodo.31736⟩
Ouvrages
hal-01206546v1
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Evaluating machine learning models and their diagnostic valueOlivier Colliot. Machine Learning for Brain Disorders, Springer, 2023
Chapitre d'ouvrage
hal-03682454v5
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Lessons from shortcomings in machine learning for medical imagingOECD. 2023
Rapport
hal-04342020v1
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Survey of machine-learning experimental methods at NeurIPS2019 and ICLR2020[Research Report] Inria Saclay Ile de France. 2020
Rapport
hal-02447823v1
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Atomic sources for long-time-of-flight interferometric inertial sensorsAtomic Physics [physics.atom-ph]. Université Paris Sud - Paris XI; Institut d'Optique, 2008. English. ⟨NNT : ⟩
Thèse
tel-00265714v3
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