Thirion, Bertrand

29 publications

AISTATS 2025 Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments Houssam Zenati, Judith Abécassis, Julie Josse, Bertrand Thirion

ICML 2025 False Coverage Proportion Control for Conformal Prediction Alexandre Blain, Bertrand Thirion, Pierre Neuvial

ICML 2025 Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence Joseph Paillard, Angel David Reyero Lobo, Vitaliy Kolodyazhniy, Bertrand Thirion, Denis-Alexander Engemann

NeurIPS 2025 Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry Antoine Collas, Ce Ju, Nicolas Salvy, Bertrand Thirion

TMLR 2025 Sample-Efficient Decoding of Visual Stimuli from fMRI Through Inter-Individual Functional Alignment Alexis Thual, Yohann Benchetrit, Felix Geilert, Jérémy Rapin, Iurii Makarov, Stanislas Dehaene, Bertrand Thirion, Hubert Banville, Jean-Remi King

NeurIPS 2025 Unsupervised Learning for Optimal Transport Plan Prediction Between Unbalanced Graphs Sonia Mazelet, Rémi Flamary, Bertrand Thirion

AAAI 2024 Variable Importance in High-Dimensional Settings Requires Grouping Ahmad Chamma, Bertrand Thirion, Denis A. Engemann

NeurIPS 2023 False Discovery Proportion Control for Aggregated Knockoffs Alexandre Blain, Bertrand Thirion, Olivier Grisel, Pierre Neuvial

NeurIPS 2023 Statistically Valid Variable Importance Assessment Through Conditional Permutations Ahmad Chamma, Denis A. Engemann, Bertrand Thirion

NeurIPS 2022 A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot

NeurIPS 2022 Aligning Individual Brains with Fused Unbalanced Gromov Wasserstein Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion

ICML 2022 Neural Language Models Are Not Born Equal to Fit Brain Data, but Training Helps Alexandre Pasquiou, Yair Lakretz, John T Hale, Bertrand Thirion, Christophe Pallier

NeurIPS 2021 Shared Independent Component Analysis for Multi-Subject Neuroimaging Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvarinen

ICML 2020 Aggregation of Multiple Knockoffs Tuan-Binh Nguyen, Jerome-Alexis Chevalier, Bertrand Thirion, Sylvain Arlot

NeurIPS 2020 Modeling Shared Responses in Neuroimaging Studies Through MultiView ICA Hugo Richard, Luigi Gresele, Aapo Hyvarinen, Bertrand Thirion, Alexandre Gramfort, Pierre Ablin

NeurIPS 2020 Statistical Control for Spatio-Temporal MEG/EEG Source Imaging with Desparsified Mutli-Task Lasso Jerome-Alexis Chevalier, Joseph Salmon, Alexandre Gramfort, Bertrand Thirion

ICML 2019 Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data Sergul Aydore, Bertrand Thirion, Gael Varoquaux

NeurIPS 2017 Learning Neural Representations of Human Cognition Across Many fMRI Studies Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gael Varoquaux

ICML 2016 Dictionary Learning for Massive Matrix Factorization Arthur Mensch, Julien Mairal, Bertrand Thirion, Gael Varoquaux

NeurIPS 2016 Learning Brain Regions via Large-Scale Online Structured Sparse Dictionary Learning Elvis Dohmatob, Arthur Mensch, Gael Varoquaux, Bertrand Thirion

NeurIPS 2015 Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gael Varoquaux

NeurIPS 2013 Mapping Paradigm Ontologies to and from the Brain Yannick Schwartz, Bertrand Thirion, Gael Varoquaux

ICML 2012 Small-Sample Brain Mapping: Sparse Recovery on Spatially Correlated Designs with Randomization and Clustering Gaël Varoquaux, Alexandre Gramfort, Bertrand Thirion

MLOSS 2011 Scikit-Learn: Machine Learning in Python Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay

CVPRW 2010 A Supervised Clustering Approach for Extracting Predictive Information from Brain Activation Images Vincent Michel, Evelyn Eger, Christine Keribin, Jean-Baptiste Poline, Bertrand Thirion

NeurIPS 2010 Brain Covariance Selection: Better Individual Functional Connectivity Models Using Population Prior Gael Varoquaux, Alexandre Gramfort, Jean-baptiste Poline, Bertrand Thirion

NeurIPS 2009 Discriminative Network Models of Schizophrenia Irina Rish, Benjamin Thyreau, Bertrand Thirion, Marion Plaze, Marie-laure Paillere-martinot, Catherine Martelli, Jean-luc Martinot, Jean-baptiste Poline, Guillermo A. Cecchi

CVPRW 2006 Improving Sensitivity and Reliability of fMRI Group Studies Through High Level Combination of Individual Subjects Results Bertrand Thirion, Alexis Roche, Philippe Ciuciu, Jean-Baptiste Poline

CVPR 2000 Fusion of Color, Shading and Boundary Information for Factory Pipe Segmentation Bertrand Thirion, Benedicte Bascle, Visvanathan Ramesh, Nassir Navab