Gaël Varoquaux
Orcid: 0000-0003-1076-5122Affiliations:
- Inria Saclay, Palaiseau, France
According to our database1,
Gaël Varoquaux
authored at least 157 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on twitter.com
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on orcid.org
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on github.com
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Bibliography
2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2023
Mach. Learn., February, 2023
Vectorizing string entries for data processing on tables: when are larger language models better?
CoRR, 2023
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.
npj Digit. Medicine, 2022
Machine learning for medical imaging: methodological failures and recommendations for the future.
npj Digit. Medicine, 2022
Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery.
NeuroImage, 2022
CoRR, 2022
Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost.
CoRR, 2022
CoRR, 2022
IEEE Access, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Imputing Out-of-Vocabulary Embeddings with LOVE Makes LanguageModels Robust with Little Cost.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Extracting representations of cognition across neuroimaging studies improves brain decoding.
PLoS Comput. Biol., 2021
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of Machine Learning and Systems 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.
npj Digit. Medicine, 2020
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states.
NeuroImage, 2020
Neumann networks: differential programming for supervised learning with missing values.
CoRR, 2020
NeuMiss networks: differentiable programming for supervised learning with missing values.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Linear predictor on linearly-generated data with missing values: non consistency and solutions.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Recursive Nearest Agglomeration (ReNA): Fast Clustering for Approximation of Structured Signals.
IEEE Trans. Pattern Anal. Mach. Intell., 2019
NeuroImage, 2019
Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation.
Medical Image Anal., 2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
IEEE Trans. Signal Process., 2018
NeuroImage, 2018
NeuroImage, 2018
NeuroImage, 2018
Mach. Learn., 2018
Computational and informatics advances for reproducible data analysis in neuroimaging.
CoRR, 2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
Text to Brain: Predicting the Spatial Distribution of Neuroimaging Observations from Text Reports.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.
PLoS Comput. Biol., 2017
NeuroImage, 2017
Joint prediction of multiple scores captures better individual traits from brain images.
NeuroImage, 2017
NeuroImage, 2017
Seeing it all: Convolutional network layers map the function of the human visual system.
NeuroImage, 2017
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example.
NeuroImage, 2017
ERCIM News, 2017
ERCIM News, 2017
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging.
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
IEEE Trans. Medical Imaging, 2016
PLoS Comput. Biol., 2016
NeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain.
NeuroImage, 2016
Exploring the anatomical encoding of voice with a mathematical model of the vocal system.
NeuroImage, 2016
IEEE J. Sel. Top. Signal Process., 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
GetMobile Mob. Comput. Commun., 2015
Convex relaxations of penalties for sparse correlated variables with bounded total variation.
Mach. Learn., 2015
NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain.
Frontiers Neuroinformatics, 2015
FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging.
CoRR, 2015
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
Frontiers Neuroinformatics, 2014
Frontiers Neuroinformatics, 2014
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI.
CoRR, 2014
Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Deriving a Multi-subject Functional-Connectivity Atlas to Inform Connectome Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.
IEEE Trans. Medical Imaging, 2013
CoRR, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Cohort-Level Brain Mapping: Learning Cognitive Atoms to Single Out Specialized Regions.
Proceedings of the Information Processing in Medical Imaging, 2013
A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation.
Proceedings of the Information Processing in Medical Imaging, 2013
2012
Source Code Biol. Medicine, 2012
Pattern Recognit., 2012
Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators.
Medical Image Anal., 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering.
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
IEEE Trans. Medical Imaging, 2011
Comput. Sci. Eng., 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the Information Processing in Medical Imaging, 2011
A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections.
Proceedings of the Information Processing in Medical Imaging, 2011
2010
Brain covariance selection: better individual functional connectivity models using population prior.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Detection of Brain Functional-Connectivity Difference in Post-stroke Patients Using Group-Level Covariance Modeling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Accurate Definition of Brain Regions Position through the Functional Landmark Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series
CoRR, 2009
2008