Gal Varoquaux
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
9
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks. | Julie Alberge, Vincent Maladire, Olivier Grisel, Judith Abcassis, Gal Varoquaux |
| 2025 | AISTATS | Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration. | Alexandre Perez-Lebel, Gal Varoquaux, Sanmi Koyejo, Matthieu Doutreligne, Marine Le Morvan |
| 2025 | ICLR | Imputation for prediction: beware of diminishing returns. | Marine Le Morvan, Gal Varoquaux |
| 2025 | ICML | TabICL: A Tabular Foundation Model for In-Context Learning on Large Data. | Jingang Qu, David Holzmller, Gal Varoquaux, Marine Le Morvan |
| 2025 | MICCAI | Some Hidden Traps of Confidence Intervals in Medical Image Segmentation: Coverage Issues. | Pascaline Andr, Charles Heitz, Evangelia Christodoulou, Annika Reinke, Carole H. Sudre, Michela Antonelli, M. Jorge Cardoso, Antoine Gilson, Sophie Tezenas du Montcel, Gal Varoquaux, Lena Maier-Hein, Olivier Colliot |
| 2024 | EACL | Learning High-Quality and General-Purpose Phrase Representations. | Lihu Chen, Gal Varoquaux, Fabian M. Suchanek |
| 2024 | EMNLP | Reconfidencing LLMs from the Grouping Loss Perspective. | Lihu Chen, Alexandre Perez-Lebel, Fabian M. Suchanek, Gal Varoquaux |
| 2024 | ICML | CARTE: Pretraining and Transfer for Tabular Learning. | Myung Jun Kim, Lo Grinsztajn, Gal Varoquaux |
| 2024 | MICCAI | Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? | Evangelia Christodoulou, Annika Reinke, Rola Houhou, Piotr Kalinowski, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofine Boutaj, Sophie Loizillon, Malys Solal, Nicola Rieke, Veronika Cheplygina, Michela Antonelli, Leon D. Mayer, Minu Dietlinde Tizabi, M. Jorge Cardoso, Amber L. Simpson, Paul F. Jger, Annette Kopp-Schneider, Gal Varoquaux, Olivier Colliot, Lena Maier-Hein |
| 2023 | EACL | GLADIS: A General and Large Acronym Disambiguation Benchmark. | Lihu Chen, Gal Varoquaux, Fabian M. Suchanek |
| 2023 | EMNLP | The Locality and Symmetry of Positional Encodings. | Lihu Chen, Gal Varoquaux, Fabian M. Suchanek |
| 2023 | ICLR | Beyond calibration: estimating the grouping loss of modern neural networks. | Alexandre Perez-Lebel, Marine Le Morvan, Gal Varoquaux |
| 2022 | ACL | Imputing Out-of-Vocabulary Embeddings with LOVE Makes LanguageModels Robust with Little Cost. | Lihu Chen, Gal Varoquaux, Fabian M. Suchanek |
| 2021 | AAAI | A Lightweight Neural Model for Biomedical Entity Linking. | Lihu Chen, Gal Varoquaux, Fabian M. Suchanek |
| 2020 | AISTATS | Linear predictor on linearly-generated data with missing values: non consistency and solutions. | Marine Le Morvan, Nicolas Prost, Julie Josse, Erwan Scornet, Gal Varoquaux |
| 2019 | ICML | Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data. | Sergl Aydre, Bertrand Thirion, Gal Varoquaux |
| 2018 | MICCAI | Text to Brain: Predicting the Spatial Distribution of Neuroimaging Observations from Text Reports. | Jrme Docks, Demian Wassermann, Russell A. Poldrack, Fabian M. Suchanek, Bertrand Thirion, Gal Varoquaux |
| 2017 | ICLR | Learning to Discover Sparse Graphical Models. | Eugene Belilovsky, Kyle Kastner, Gal Varoquaux, Matthew B. Blaschko |
| 2017 | ICML | Learning to Discover Sparse Graphical Models. | Eugene Belilovsky, Kyle Kastner, Gal Varoquaux, Matthew B. Blaschko |
| 2017 | MICCAI | Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity. | Mehdi Rahim, Bertrand Thirion, Gal Varoquaux |
| 2016 | ICASSP | 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, Gal Varoquaux |
| 2016 | ICML | Dictionary Learning for Massive Matrix Factorization. | Arthur Mensch, Julien Mairal, Bertrand Thirion, Gal Varoquaux |
| 2015 | MICCAI | Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties. | Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion, Gal Varoquaux |
| 2015 | MICCAI | Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease. | Mehdi Rahim, Bertrand Thirion, Alexandre Abraham, Michael Eickenberg, Elvis Dohmatob, Claude Comtat, Gal Varoquaux |
| 2014 | MICCAI | Transport on Riemannian Manifold for Functional Connectivity-Based Classification. | Bernard Ng, Martin Dressler, Gal Varoquaux, Jean-Baptiste Poline, Michael D. Greicius, Bertrand Thirion |
| 2014 | MICCAI | Deriving a Multi-subject Functional-Connectivity Atlas to Inform Connectome Estimation. | Ronald Phlypo, Bertrand Thirion, Gal Varoquaux |
| 2014 | MICCAI | Principal Component Regression Predicts Functional Responses across Individuals. | Bertrand Thirion, Gal Varoquaux, Olivier Grisel, Cyril Poupon, Philippe Pinel |
| 2013 | MICCAI | Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning. | Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gal Varoquaux |
| 2013 | MICCAI | Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations. | Benoit Da Mota, Virgile Fritsch, Gal Varoquaux, Vincent Frouin, Jean-Baptiste Poline, Bertrand Thirion |
| 2013 | MICCAI | Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation. | Bernard Ng, Gal Varoquaux, Jean-Baptiste Poline, Bertrand Thirion |
| 2012 | ICML | Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering. | Gal Varoquaux, Alexandre Gramfort, Bertrand Thirion |
| 2012 | MICCAI | Non-parametric Density Modeling and Outlier-Detection in Medical Imaging Datasets. | Virgile Fritsch, Gal Varoquaux, Jean-Baptiste Poline, Bertrand Thirion |
| 2012 | MICCAI | A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference. | Bernard Ng, Gal Varoquaux, Jean-Baptiste Poline, Bertrand Thirion |
| 2012 | MICCAI | Learning to Rank from Medical Imaging Data. | Fabian Pedregosa, Elodie Cauvet, Gal Varoquaux, Christophe Pallier, Bertrand Thirion, Alexandre Gramfort |
| 2012 | MICCAI | Improving Accuracy and Power with Transfer Learning Using a Meta-analytic Database. | Yannick Schwartz, Gal Varoquaux, Christophe Pallier, Philippe Pinel, Jean-Baptiste Poline, Bertrand Thirion |
| 2011 | MICCAI | Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant. | Virgile Fritsch, Gal Varoquaux, Benjamin Thyreau, Jean-Baptiste Poline, Bertrand Thirion |
| 2011 | MICCAI | Connectivity-Informed fMRI Activation Detection. | Bernard Ng, Rafeef Abugharbieh, Gal Varoquaux, Jean-Baptiste Poline, Bertrand Thirion |
| 2010 | MICCAI | Accurate Definition of Brain Regions Position through the Functional Landmark Approach. | Bertrand Thirion, Gal Varoquaux, Jean-Baptiste Poline |
| 2010 | MICCAI | Detection of Brain Functional-Connectivity Difference in Post-stroke Patients Using Group-Level Covariance Modeling. | Gal Varoquaux, Flore Baronnet, Andreas Kleinschmidt, Pierre Fillard, Bertrand Thirion |