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

Dynamical components analysis of fMRI data. - Bertrand Thirion; Olivier D. Faugeras (ISBI, 2002)

Dynamical Components Analysis of FMRI Data: A Second Order Solution. - Bertrand Thirion; Olivier D. Faugeras (EUROCAST, 2003)

Feature Detection in fMRI Data: The Information Bottleneck Approach. - Bertrand Thirion; Olivier D. Faugeras (MICCAI (2), 2003)

Dynamical components analysis of fMRI data through kernel PCA. - Bertrand Thirion; Olivier D. Faugeras (NeuroImage, 2003)

fMRI data analysis : statistics, information and dynamics. (Analyse de données d' IRM fonctionnelle : statistiques, information et dynamique). - Bertrand Thirion (2003)

Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach. - Olivier D. Faugeras; Bertrand Thirion (ISBI, 2004)

Feature characterization in fMRI data: the Information Bottleneck approach. - Bertrand Thirion; Olivier D. Faugeras (Medical Image Anal., 2004)

Finding Landmarks in the Functional Brain: Detection and Use for Group Characterization. - Bertrand Thirion; Philippe Pinel; Jean-Baptiste Poline (MICCAI (2), 2005)

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 Workshops, 2006)

Anatomo-Functional Description of the Brain : A Probabilistic Approach. - Benjamin Thyreau; Bertrand Thirion; Guillaume Flandin; Jean-Baptiste Poline (ICASSP (5), 2006)

Robust statistics for nonparametric group analysis in fMRI. - Sébastien Mériaux; Alexis Roche; Bertrand Thirion; Ghislaine Dehaene-Lambertz (ISBI, 2006)

Reading the brain visual system as an inverse problem. - Bertrand Thirion; Edouard Duchesnay; Edward M. Hubbard; Jessica Dubois; Jean-Baptiste Poline; Stanislas Dehaene (ISBI, 2006)

Inverse retinotopy: Inferring the visual content of images from brain activation patterns. - Bertrand Thirion; Edouard Duchesnay; Edward M. Hubbard; Jessica Dubois; Jean-Baptiste Poline; Denis Le Bihan; Stanislas Dehaene (NeuroImage, 2006)

Detection of signal synchronizations in resting-state fMRI datasets. - Bertrand Thirion; Silke Dodel; Jean-Baptiste Poline (NeuroImage, 2006)

High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models. - Bertrand Thirion; Alan Tucholka; Merlin Keller; Philippe Pinel; Alexis Roche; Jean-François Mangin; Jean-Baptiste Poline (IPMI, 2007)

Mixed-effect statistics for group analysis in fMRI: A nonparametric maximum likelihood approach. - Alexis Roche; Sébastien Mériaux; Merlin Keller; Bertrand Thirion (NeuroImage, 2007)

Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses. - Bertrand Thirion; Philippe Pinel; Sébastien Mériaux; Alexis Roche; Stanislas Dehaene; Jean-Baptiste Poline (NeuroImage, 2007)

Structural Analysis of fMRI Data Revisited: Improving the Sensitivity and Reliability of fMRI Group Studies. - Bertrand Thirion; Philippe Pinel; Alan Tucholka; Alexis Roche; Philippe Ciuciu; Jean-François Mangin; Jean-Baptiste Poline (IEEE Trans. Medical Imaging, 2007)

Mutual information-based feature selection enhances fMRI brain activity classification. - Vincent Michel; Cécilia Damon; Bertrand Thirion (ISBI, 2008)

Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging. - Zhong Yi Sun 003; Denis Rivière; Edouard Duchesnay; Bertrand Thirion; Fabrice Poupon; Jean-François Mangin (ISBI, 2008)

Triangulating cortical functional networks with anatomical landmarks. - Alan Tucholka; Bertrand Thirion; Philippe Pinel; Jean-Baptiste Poline; Jean-François Mangin (ISBI, 2008)

Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI. - Thomas Vincent; Philippe Ciuciu; Bertrand Thirion (ISBI, 2008)

Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions?. - Alan Tucholka; Bertrand Thirion; Matthieu Perrot; Philippe Pinel; Jean-François Mangin; Jean-Baptiste Poline (MICCAI (2), 2008)

Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging. - Muriel Perrin; Yann Cointepas; Arnaud Cachia; Cyril Poupon; Bertrand Thirion; Denis Rivière; Pascal Cathier; Vincent El Kouby; André Constantinesco; Denis Le Bihan; Jean-François Mangin (Int. J. Biomed. Imaging, 2008)

A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI. - Salima Makni; Jérôme Idier; Thomas Vincent; Bertrand Thirion; Ghislaine Dehaene-Lambertz; Philippe Ciuciu (NeuroImage, 2008)

Structural and probabilistic methods for group analysis in functional neuroimaging. (Méthodes structurales et probabilistes pour l'analyse de groupe en neuroimagerie fonctionnelle). - Bertrand Thirion (2009)

Discriminative Network Models of Schizophrenia. - Guillermo A. Cecchi; Irina Rish; Benjamin Thyreau; Bertrand Thirion; Marion Plaze; Marie-Laure Paillère-Martinot; Catherine Martelli; Jean-Luc Martinot; Jean-Baptiste Poline (NIPS, 2009)

CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series - Gaël Varoquaux; Sepideh Sadaghiani; Jean-Baptiste Poline; Bertrand Thirion (CoRR, 2009)

Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges. - Jean-Baptiste Poline; Christophe Lalanne; Arthur Tenenhaus; Edouard Duchesnay; Bertrand Thirion; Vincent Frouin (COMPSTAT, 2010)

Parcellation Schemes and Statistical Tests to Detect Active Regions on the Cortical Surface. - Bertrand Thirion; Alan Tucholka; Jean-Baptiste Poline (COMPSTAT, 2010)

A supervised clustering approach for extracting predictive information from brain activation images. - Vincent Michel; Evelyn Eger; Christine Keribin; Jean-Baptiste Poline; Bertrand Thirion (CVPR Workshops, 2010)

ICA-based sparse features recovery from FMRI datasets. - Gaël Varoquaux; Merlin Keller; Jean-Baptiste Poline; Philippe Ciuciu; Bertrand Thirion (ISBI, 2010)

Inference of a HARDI Fiber Bundle Atlas Using a Two-Level Clustering Strategy. - Pamela Guevara; Cyril Poupon; Denis Rivière; Yann Cointepas; Linda Marrakchi-Kacem; Maxime Descoteaux; Pierre Fillard; Bertrand Thirion; Jean-François Mangin (MICCAI (1), 2010)

Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis. - Vincent Michel; Evelyn Eger; Christine Keribin; Bertrand Thirion (MLMI, 2010)

Accurate Definition of Brain Regions Position through the Functional Landmark Approach. - Bertrand Thirion; Gaël Varoquaux; Jean-Baptiste Poline (MICCAI (2), 2010)

Detection of Brain Functional-Connectivity Difference in Post-stroke Patients Using Group-Level Covariance Modeling. - Gaël Varoquaux; Flore Baronnet; Andreas Kleinschmidt; Pierre Fillard; Bertrand Thirion (MICCAI (1), 2010)

Brain covariance selection: better individual functional connectivity models using population prior. - Gaël Varoquaux; Alexandre Gramfort; Jean-Baptiste Poline; Bertrand Thirion (NIPS, 2010)

A group model for stable multi-subject ICA on fMRI datasets. - Gaël Varoquaux; Sepideh Sadaghiani; Philippe Pinel; Andreas Kleinschmidt; Jean-Baptiste Poline; Bertrand Thirion (NeuroImage, 2010)

A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections. - Fani Deligianni; Gaël Varoquaux; Bertrand Thirion; Emma C. Robinson; David J. Sharp; A. David Edwards; Daniel Rueckert (IPMI, 2011)

Multi-subject Dictionary Learning to Segment an Atlas of Brain Spontaneous Activity. - Gaël Varoquaux; Alexandre Gramfort; Fabian Pedregosa; Vincent Michel; Bertrand Thirion (IPMI, 2011)

Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant. - Virgile Fritsch; Gaël Varoquaux; Benjamin Thyreau; Jean-Baptiste Poline; Bertrand Thirion (MICCAI (3), 2011)

Connectivity-Informed fMRI Activation Detection. - Bernard Ng; Rafeef Abugharbieh; Gaël Varoquaux; Jean-Baptiste Poline; Bertrand Thirion (MICCAI (2), 2011)

Relating Brain Functional Connectivity to Anatomical Connections: Model Selection. - Fani Deligianni; Gaël Varoquaux; Bertrand Thirion; Emma C. Robinson; David J. Sharp; A. David Edwards; Daniel Rueckert (MLINI, 2011)

Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify. - Alexandre Gramfort; Gaël Varoquaux; Bertrand Thirion (MLINI, 2011)

A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding. - Vincent Michel; Alexandre Gramfort; Evelyn Eger; Gaël Varoquaux; Bertrand Thirion (MLINI, 2011)

Statistical Learning for Resting-State fMRI: Successes and Challenges. - Gaël Varoquaux; Bertrand Thirion (MLINI, 2011)

Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity. - Rodolphe Jenatton; Alexandre Gramfort; Vincent Michel; Guillaume Obozinski; Francis R. Bach; Bertrand Thirion (PRNI, 2011)

Total variation regularization for fMRI-based prediction of behaviour - Vincent Michel; Alexandre Gramfort; Gaël Varoquaux; Evelyn Eger; Bertrand Thirion (CoRR, 2011)

Multiclass Sparse Bayesian Regression for fMRI-Based Prediction. - Vincent Michel; Evelyn Eger; Christine Keribin; Bertrand Thirion (Int. J. Biomed. Imaging, 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; et al. (J. Mach. Learn. Res., 2011)

Phase delays within visual cortex shape the response to steady-state visual stimulation. - Benoit Cottereau; Jean Lorenceau; Alexandre Gramfort; Maureen Clerc; Bertrand Thirion; Sylvain Baillet (NeuroImage, 2011)

Robust clustering of massive tractography datasets. - Pamela Guevara; Cyril Poupon; Denis Rivière; Yann Cointepas; Maxime Descoteaux; Bertrand Thirion; Jean-François Mangin (NeuroImage, 2011)

Total Variation Regularization for fMRI-Based Prediction of Behavior. - Vincent Michel; Alexandre Gramfort; Gaël Varoquaux; Evelyn Eger; Bertrand Thirion (IEEE Trans. Medical Imaging, 2011)

Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering. - Gaël Varoquaux; Alexandre Gramfort; Bertrand Thirion (ICML, 2012)

Non-parametric Density Modeling and Outlier-Detection in Medical Imaging Datasets. - Virgile Fritsch; Gaël Varoquaux; Jean-Baptiste Poline; Bertrand Thirion (MLMI, 2012)

A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference. - Bernard Ng; Gaël Varoquaux; Jean-Baptiste Poline; Bertrand Thirion (MICCAI (1), 2012)

Learning to Rank from Medical Imaging Data. - Fabian Pedregosa; Elodie Cauvet; Gaël Varoquaux; Christophe Pallier; Bertrand Thirion; Alexandre Gramfort (MLMI, 2012)

Improving Accuracy and Power with Transfer Learning Using a Meta-analytic Database. - Yannick Schwartz; Gaël Varoquaux; Christophe Pallier; Philippe Pinel; Jean-Baptiste Poline; Bertrand Thirion (MICCAI (3), 2012)

Joint T1 and Brain Fiber Log-Demons Registration Using Currents to Model Geometry. - Viviana Siless; Joan Alexis Glaunès; Pamela Guevara; Jean-François Mangin; Cyril Poupon; Denis Le Bihan; Bertrand Thirion; Pierre Fillard (MICCAI (2), 2012)

Graph-Based Inter-subject Classification of Local fMRI Patterns. - Sylvain Takerkart; Guillaume Auzias; Bertrand Thirion; Daniele Schön; Liva Ralaivola (MLMI, 2012)

Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas. - Michael Eickenberg; Alexandre Gramfort; Bertrand Thirion (PRNI, 2012)

Decoding Visual Percepts Induced by Word Reading with fMRI. - Alexandre Gramfort; Christophe Pallier; Gaël Varoquaux; Bertrand Thirion (PRNI, 2012)

Connectivity-informed Sparse Classifiers for fMRI Brain Decoding. - Bernard Ng; Viviana Siless; Gaël Varoquaux; Jean-Baptiste Poline; Bertrand Thirion; Rafeef Abugharbieh (PRNI, 2012)

Improved Brain Pattern Recovery through Ranking Approaches. - Fabian Pedregosa; Elodie Cauvet; Gaël Varoquaux; Christophe Pallier; Bertrand Thirion; Alexandre Gramfort (PRNI, 2012)

On Spatial Selectivity and Prediction across Conditions with fMRI. - Yannick Schwartz; Gaël Varoquaux; Bertrand Thirion (PRNI, 2012)

A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain. - Gabriel Antoniu; Alexandru Costan; Benoit Da Mota; Bertrand Thirion; Radu Tudoran (ERCIM News, 2012)

Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators. - Virgile Fritsch; Gaël Varoquaux; Benjamin Thyreau; Jean-Baptiste Poline; Bertrand Thirion (Medical Image Anal., 2012)

Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares. - Edith Le Floch; Vincent Guillemot; Vincent Frouin; Philippe Pinel; Christophe Lalanne; Laura Trinchera; Arthur Tenenhaus; Antonio Moreno; Monica Zilbovicius; Thomas Bourgeron; Stanislas Dehaene; Bertrand Thirion; et al. (NeuroImage, 2012)

Very large fMRI study using the IMAGEN database: Sensitivity-specificity and population effect modeling in relation to the underlying anatomy. - Benjamin Thyreau; Yannick Schwartz; Bertrand Thirion; Vincent Frouin; Eva Loth; Sabine Vollstädt-Klein; Tomás Paus; Eric Artiges; Patricia J. Conrod; Gunter Schumann; Robert A. Whelan; Jean-Baptiste Poline (NeuroImage, 2012)

An empirical comparison of surface-based and volume-based group studies in neuroimaging. - Alan Tucholka; Virgile Fritsch; Jean-Baptiste Poline; Bertrand Thirion (NeuroImage, 2012)

A supervised clustering approach for fMRI-based inference of brain states. - Vincent Michel; Alexandre Gramfort; Gaël Varoquaux; Evelyn Eger; Christine Keribin; Bertrand Thirion (Pattern Recognit., 2012)

Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity. - Rodolphe Jenatton; Alexandre Gramfort; Vincent Michel; Guillaume Obozinski; Evelyn Eger; Francis R. Bach; Bertrand Thirion (SIAM J. Imaging Sci., 2012)

A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation. - Bernard Ng; Gaël Varoquaux; Jean-Baptiste Poline; Bertrand Thirion (IPMI, 2013)

Cohort-Level Brain Mapping: Learning Cognitive Atoms to Single Out Specialized Regions. - Gaël Varoquaux; Yannick Schwartz; Philippe Pinel; Bertrand Thirion (IPMI, 2013)

Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning. - Alexandre Abraham; Elvis Dohmatob; Bertrand Thirion; Dimitris Samaras; Gaël Varoquaux (MICCAI (2), 2013)

Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations. - Benoit Da Mota; Virgile Fritsch; Gaël Varoquaux; Vincent Frouin; Jean-Baptiste Poline; Bertrand Thirion (MICCAI (2), 2013)

Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation. - Bernard Ng; Gaël Varoquaux; Jean-Baptiste Poline; Bertrand Thirion (MICCAI (3), 2013)

Unsupervised Fiber Bundles Registration Using Weighted Measures Geometric Demons. - Viviana Siless; Sergio Medina; Pierre Fillard; Bertrand Thirion (MBIA, 2013)

Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses. - Hao Xu; Bertrand Thirion; Stéphanie Allassonnière (MICCAI (3), 2013)

Mapping paradigm ontologies to and from the brain. - Yannick Schwartz; Bertrand Thirion; Gaël Varoquaux (NIPS, 2013)

Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures. - Michael Eickenberg; Mehdi Senoussi; Fabian Pedregosa; Alexandre Gramfort; Bertrand Thirion (PRNI, 2013)

Robust Group-Level Inference in Neuroimaging Genetic Studies. - Virgile Fritsch; Benoit Da Mota; Gaël Varoquaux; Vincent Frouin; Eva Loth; Jean-Baptiste Poline; Bertrand Thirion (PRNI, 2013)

Identifying Predictive Regions from fMRI with TV-L1 Prior. - Alexandre Gramfort; Bertrand Thirion; Gaël Varoquaux (PRNI, 2013)

HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models. - Fabian Pedregosa; Michael Eickenberg; Bertrand Thirion; Alexandre Gramfort (PRNI, 2013)

A Comparison of Metrics and Algorithms for Fiber Clustering. - Viviana Siless; Sergio Medina; Gaël Varoquaux; Bertrand Thirion (PRNI, 2013)

Mapping cognitive ontologies to and from the brain. - Yannick Schwartz; Bertrand Thirion; Gaël Varoquaux (CoRR, 2013)

A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks. - Fani Deligianni; Gaël Varoquaux; Bertrand Thirion; David J. Sharp; Christian Ledig; Robert Leech; Daniel Rueckert (IEEE Trans. Medical Imaging, 2013)

Automatic pathology classification using a single feature machine learning support - vector machines. - Fernando Yepes-Calderon; Fabian Pedregosa; Bertrand Thirion; Yalin Wang 001; Natasha Leporé (Computer-Aided Diagnosis, 2014)

Transport on Riemannian Manifold for Functional Connectivity-Based Classification. - Bernard Ng; Martin Dressler; Gaël Varoquaux; Jean-Baptiste Poline; Michael D. Greicius; Bertrand Thirion (MICCAI (2), 2014)

Deriving a Multi-subject Functional-Connectivity Atlas to Inform Connectome Estimation. - Ronald Phlypo; Bertrand Thirion; Gaël Varoquaux (MICCAI (3), 2014)

Principal Component Regression Predicts Functional Responses across Individuals. - Bertrand Thirion; Gaël Varoquaux; Olivier Grisel; Cyril Poupon; Philippe Pinel (MICCAI (2), 2014)

Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging. - Elvis Dopgima Dohmatob; Alexandre Gramfort; Bertrand Thirion; Gaël Varoquaux (PRNI, 2014)

Region segmentation for sparse decompositions: better brain parcellations from rest fMRI. - Alexandre Abraham; Elvis Dohmatob; Bertrand Thirion; Dimitris Samaras; Gaël Varoquaux (CoRR, 2014)

Machine learning for neuroimaging with scikit-learn. - Alexandre Abraham; Fabian Pedregosa; Michael Eickenberg; Philippe Gervais; Andreas Mueller; Jean Kossaifi; Alexandre Gramfort; Bertrand Thirion; Gaël Varoquaux (Frontiers Neuroinformatics, 2014)

Generic Machine Learning Pattern for Neuroimaging-Genetic Studies in the Cloud. - Benoit Da Mota; Radu Tudoran; Alexandru Costan; Gaël Varoquaux; Goetz Brasche; Patricia J. Conrod; Hervé Lemaître; Tomás Paus; Marcella Rietschel; Vincent Frouin; Jean-Baptiste Poline; Gabriel Antoniu; et al. (Frontiers Neuroinformatics, 2014)

Interoperable atlases of the human brain. - Katrin Amunts; Michael Hawrylycz; David C. Van Essen; John D. Van Horn; Noam Harel; Jean-Baptiste Poline; Federico De Martino; Jan G. Bjaalie; Ghislaine Dehaene-Lambertz; Stanislas Dehaene; Pedro A. Valdés-Sosa; Bertrand Thirion; et al. (NeuroImage, 2014)

Randomized parcellation based inference. - Benoit Da Mota; Virgile Fritsch; Gaël Varoquaux; Tobias Banaschewski; Gareth J. Barker; Arun L. W. Bokde; Uli Bromberg; Patricia J. Conrod; Jürgen Gallinat; Hugh Garavan; Jean-Luc Martinot; Frauke Nees; et al. (NeuroImage, 2014)

Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations. - Bernard Ng; Jean-Baptiste Poline; Bertrand Thirion; Michael D. Greicius (IPMI, 2015)

Clustering the infant brain tissues based on microstructural properties and maturation assessment using multi-parametric MRI. - Jessica Lebenberg; Cyril Poupon; Bertrand Thirion; François Leroy; Jean-François Mangin; Ghislaine Dehaene-Lambertz; Jessica Dubois (ISBI, 2015)

Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties. - Michael Eickenberg; Elvis Dohmatob; Bertrand Thirion; Gaël Varoquaux (MICCAI (1), 2015)

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; Gaël Varoquaux (MICCAI (1), 2015)

Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data. - Danilo Bzdok; Michael Eickenberg; Olivier Grisel; Bertrand Thirion; Gaël Varoquaux (NIPS, 2015)

Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening. - Elvis Dohmatob; Michael Eickenberg; Bertrand Thirion; Gaël Varoquaux (PRNI, 2015)

Improving Sparse Recovery on Structured Images with Bagged Clustering. - Andrés Hoyos Idrobo; Yannick Schwartz; Gaël Varoquaux; Bertrand Thirion (PRNI, 2015)

Fast clustering for scalable statistical analysis on structured images. - Bertrand Thirion; Andrés Hoyos Idrobo; Jonas Kahn; Gaël Varoquaux (CoRR, 2015)

FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging. - Gaël Varoquaux; Michael Eickenberg; Elvis Dohmatob; Bertrand Thirion (CoRR, 2015)

Robust regression for large-scale neuroimaging studies. - Virgile Fritsch; Benoit Da Mota; Eva Loth; Gaël Varoquaux; Tobias Banaschewski; Gareth J. Barker; Arun L. W. Bokde; Rüdiger Brühl; Brigitte Butzek; Patricia J. Conrod; Herta Flor; Hugh Garavan; et al. (NeuroImage, 2015)

Data-driven HRF estimation for encoding and decoding models. - Fabian Pedregosa; Michael Eickenberg; Philippe Ciuciu; Bertrand Thirion; Alexandre Gramfort (NeuroImage, 2015)

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; Gaël Varoquaux (ICASSP, 2016)

Dictionary Learning for Massive Matrix Factorization. - Arthur Mensch; Julien Mairal; Bertrand Thirion; Gaël Varoquaux (ICML, 2016)

Compressed online dictionary learning for fast resting-state fMRI decomposition. - Arthur Mensch; Gaël Varoquaux; Bertrand Thirion (ISBI, 2016)

Learning brain regions via large-scale online structured sparse dictionary learning. - Elvis Dohmatob; Arthur Mensch; Gaël Varoquaux; Bertrand Thirion (NIPS, 2016)

Comparing functional connectivity based predictive models across datasets. - Kamalaker Dadi; Alexandre Abraham; Mehdi Rahim; Bertrand Thirion; Gaël Varoquaux (PRNI, 2016)

Fast brain decoding with random sampling and random projections. - Andrés Hoyos Idrobo; Gaël Varoquaux; Bertrand Thirion (PRNI, 2016)

Social-sparsity brain decoders: faster spatial sparsity. - Gaël Varoquaux; Matthieu Kowalski; Bertrand Thirion (PRNI, 2016)

Compressed Online Dictionary Learning for Fast fMRI Decomposition. - Arthur Mensch; Gaël Varoquaux; Bertrand Thirion (CoRR, 2016)

Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction. - Mehdi Rahim; Bertrand Thirion; Claude Comtat; Gaël Varoquaux (IEEE J. Sel. Top. Signal Process., 2016)

Formal Models of the Network Co-occurrence Underlying Mental Operations. - Danilo Bzdok; Gaël Varoquaux; Olivier Grisel; Michael Eickenberg; Cyril Poupon; Bertrand Thirion (PLoS Comput. Biol., 2016)

Transport on Riemannian Manifold for Connectivity-Based Brain Decoding. - Bernard Ng; Gaël Varoquaux; Jean-Baptiste Poline; Michael D. Greicius; Bertrand Thirion (IEEE Trans. Medical Imaging, 2016)

Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging. - Danilo Bzdok; Michael Eickenberg; Gaël Varoquaux; Bertrand Thirion (IPMI, 2017)

Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity. - Mehdi Rahim; Bertrand Thirion; Gaël Varoquaux (MICCAI (1), 2017)

Learning Neural Representations of Human Cognition across Many fMRI Studies. - Arthur Mensch; Julien Mairal; Danilo Bzdok; Bertrand Thirion; Gaël Varoquaux (NIPS, 2017)

Towards a faster randomized parcellation based inference. - Andrés Hoyos Idrobo; Gaël Varoquaux; Bertrand Thirion (PRNI, 2017)

Multi-output predictions from neuroimaging: assessing reduced-rank linear models. - Mehdi Rahim; Bertrand Thirion; Gaël Varoquaux (PRNI, 2017)

Convolutional Network Layers Map the Function of the Human Visual Cortex. - Michael Eickenberg; Gaël Varoquaux; Bertrand Thirion; Alexandre Gramfort (ERCIM News, 2017)

Subsampling Enables Fast Factorisation of Huge Matrices into Sparse Signals. - Arthur Mensch; Julien Mairal; Bertrand Thirion; Gaël Varoquaux (ERCIM News, 2017)

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example. - Alexandre Abraham; Michael P. Milham; Adriana Di Martino; R. Cameron Craddock; Dimitris Samaras; Bertrand Thirion; Gaël Varoquaux (NeuroImage, 2017)

Seeing it all: Convolutional network layers map the function of the human visual system. - Michael Eickenberg; Alexandre Gramfort; Gaël Varoquaux; Bertrand Thirion (NeuroImage, 2017)

Joint prediction of multiple scores captures better individual traits from brain images. - Mehdi Rahim; Bertrand Thirion; Danilo Bzdok; Irène Buvat; Gaël Varoquaux (NeuroImage, 2017)

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines. - Gaël Varoquaux; Pradeep Reddy Raamana; Denis A. Engemann; Andrés Hoyos Idrobo; Yannick Schwartz; Bertrand Thirion (NeuroImage, 2017)

Statistical Inference with Ensemble of Clustered Desparsified Lasso. - Jérôme-Alexis Chevalier; Joseph Salmon; Bertrand Thirion (MICCAI (1), 2018)

Text to Brain: Predicting the Spatial Distribution of Neuroimaging Observations from Text Reports. - Jérôme Dockès; Demian Wassermann; Russell A. Poldrack; Fabian M. Suchanek; Bertrand Thirion; Gaël Varoquaux (MICCAI (3), 2018)

Controlling a confound in predictive models with a test set minimizing its effect. - Darya Chyzhyk; Gaël Varoquaux; Bertrand Thirion; Michael P. Milham (PRNI, 2018)

Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data. - Sergül Aydöre; Bertrand Thirion; Olivier Grisel; Gaël Varoquaux (CoRR, 2018)

Optimizing deep video representation to match brain activity. - Hugo Richard; Ana Luísa Pinho; Bertrand Thirion; Guillaume Charpiat (CoRR, 2018)

Extracting Universal Representations of Cognition across Brain-Imaging Studies. - Arthur Mensch; Julien Mairal; Bertrand Thirion; Gaël Varoquaux (CoRR, 2018)

Approximate message-passing for convex optimization with non-separable penalties. - Andre Manoel; Florent Krzakala; Gaël Varoquaux; Bertrand Thirion; Lenka Zdeborová (CoRR, 2018)

FReM - Scalable and stable decoding with fast regularized ensemble of models. - Andrés Hoyos Idrobo; Gaël Varoquaux; Yannick Schwartz; Bertrand Thirion (NeuroImage, 2018)

Decoding fMRI activity in the time domain improves classification performance. - João Loula; Gaël Varoquaux; Bertrand Thirion (NeuroImage, 2018)

Atlases of cognition with large-scale human brain mapping. - Gaël Varoquaux; Yannick Schwartz; Russell A. Poldrack; Baptiste Gauthier; Danilo Bzdok; Jean-Baptiste Poline; Bertrand Thirion (PLoS Comput. Biol., 2018)

Stochastic Subsampling for Factorizing Huge Matrices. - Arthur Mensch; Julien Mairal; Bertrand Thirion; Gaël Varoquaux (IEEE Trans. Signal Process., 2018)

Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data. - Sergül Aydöre; Bertrand Thirion; Gaël Varoquaux (ICML, 2019)

Local Optimal Transport for Functional Brain Template Estimation. - Thomas Bazeille; Hugo Richard; Hicham Janati; Bertrand Thirion (IPMI, 2019)

Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates. - Hicham Janati; Thomas Bazeille; Bertrand Thirion; Marco Cuturi; Alexandre Gramfort (IPMI, 2019)

ECKO: Ensemble of Clustered Knockoffs for Robust Multivariate Inference on fMRI Data. - Tuan-Binh Nguyen; Jérôme-Alexis Chevalier; Bertrand Thirion (IPMI, 2019)

Fast shared response model for fMRI data. - Hugo Richard; Lucas Martin; Ana Luísa Pinho; Jonathan W. Pillow; Bertrand Thirion (CoRR, 2019)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan Nielson; et al. (J. Open Source Softw., 2019)

Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation. - Mehdi Rahim; Bertrand Thirion; Gaël Varoquaux (Medical Image Anal., 2019)

Benchmarking functional connectome-based predictive models for resting-state fMRI. - Kamalaker Dadi; Mehdi Rahim; Alexandre Abraham; Darya Chyzhyk; Michael P. Milham; Bertrand Thirion; Gaël Varoquaux (NeuroImage, 2019)

Mapping the asynchrony of cortical maturation in the infant brain: A MRI multi-parametric clustering approach. - Jessica Lebenberg; Jean-François Mangin; Bertrand Thirion; Cyril Poupon; Lucie Hertz-Pannier; François Leroy; Parvaneh Adibpour; Ghislaine Dehaene-Lambertz; Jessica Dubois (NeuroImage, 2019)

The functional database of the ARCHI project: Potential and perspectives. - Philippe Pinel; Baudouin Forgeot d'Arc; Stanislas Dehaene; Thomas Bourgeron; Bertrand Thirion; Denis Le Bihan; Cyril Poupon (NeuroImage, 2019)

Recursive Nearest Agglomeration (ReNA): Fast Clustering for Approximation of Structured Signals. - Andrés Hoyos Idrobo; Gaël Varoquaux; Jonas Kahn; Bertrand Thirion (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

bids-standard/pybids: 0.7.0. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Quinten McNamara; Krista Destasio; Yaroslav O. Halchenko; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan Nielson; et al. (Zenodo, 2019)

bids-standard/pybids: 0.7.1. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan Nielson; et al. (Zenodo, 2019)

bids-standard/pybids: 0.8.0. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan M. Nielson; et al. (Zenodo, 2019)

nipy/nibabel: 2.4.0. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; Demian Wassermann; et al. (Zenodo, 2019)

nipy/nibabel: 2.4.1. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; Demian Wassermann; et al. (Zenodo, 2019)

bids-standard/pybids: 0.9.1. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan M. Nielson; et al. (Zenodo, 2019)

bids-standard/pybids: 0.9.0. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan M. Nielson; et al. (Zenodo, 2019)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan M. Nielson; et al. (Zenodo, 2019)

nipy/nibabel: 2.5.0. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; Demian Wassermann; et al. (Zenodo, 2019)

bids-standard/pybids: 0.9.3. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan M. Nielson; et al. (Zenodo, 2019)

nipy/nibabel: 2.5.1. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; Demian Wassermann; et al. (Zenodo, 2019)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan Nielson; et al. (Zenodo, 2019)

nipy/nibabel: 3.0.0rc1. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; Demian Wassermann; et al. (Zenodo, 2019)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Dmitry Petrov; Hans J. Johnson; Valérie Hayot-Sasson; et al. (Zenodo, 2019)

nipy/nibabel: 3.0.0rc2. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; Demian Wassermann; et al. (Zenodo, 2019)

nipy/nibabel: 3.0.0. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; Demian Wassermann; et al. (Zenodo, 2019)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Hans J. Johnson; Dmitry Petrov; Valérie Hayot-Sasson; et al. (Zenodo, 2019)

Multivariate Analysis is Sufficient for Lesion-Behaviour Mapping. - Lucas Martin; Julie Josse; Bertrand Thirion (BrainLes@MICCAI (1), 2020)

Aggregation of Multiple Knockoffs. - Tuan-Binh Nguyen; Jérôme-Alexis Chevalier; Bertrand Thirion; Sylvain Arlot (ICML, 2020)

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso. - Jérôme-Alexis Chevalier; Joseph Salmon; Alexandre Gramfort; Bertrand Thirion (NeurIPS, 2020)

Modeling Shared responses in Neuroimaging Studies through MultiView ICA. - Hugo Richard; Luigi Gresele; Aapo Hyvärinen; Bertrand Thirion; Alexandre Gramfort; Pierre Ablin (NeurIPS, 2020)

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso. - Jérôme-Alexis Chevalier; Alexandre Gramfort; Joseph Salmon; Bertrand Thirion (CoRR, 2020)

Fine-grain atlases of functional modes for fMRI analysis. - Kamalaker Dadi; Gaël Varoquaux; Antonia Machlouzarides-Shalit; Krzysztof J. Gorgolewski; Demian Wassermann; Bertrand Thirion; Arthur Mensch (NeuroImage, 2020)

Multi-subject MEG/EEG source imaging with sparse multi-task regression. - Hicham Janati; Thomas Bazeille; Bertrand Thirion; Marco Cuturi; Alexandre Gramfort (NeuroImage, 2020)

Inference and Prediction Diverge in Biomedicine. - Danilo Bzdok; Denis A. Engemann; Bertrand Thirion (Patterns, 2020)

nipy/nibabel: 3.0.1. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; Demian Wassermann; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

nipy/nibabel: 3.0.2. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; Demian Wassermann; et al. (Zenodo, 2020)

nipy/nibabel: 2.5.2. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; Demian Wassermann; et al. (Zenodo, 2020)

nipy/nibabel: 3.1.0. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; et al. (Zenodo, 2020)

nipy/nibabel: 3.1.1. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; Eric Larson; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

nipy/nibabel: 3.2.0. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Eric Larson; Satrajit S. Ghosh; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

nipy/nibabel: 3.2.1. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Eric Larson; Satrajit S. Ghosh; et al. (Zenodo, 2020)

Functional Magnetic Resonance Imaging Data Augmentation Through Conditional ICA. - Badr Tajini; Hugo Richard; Bertrand Thirion (MICCAI (2), 2021)

Shared Independent Component Analysis for Multi-Subject Neuroimaging. - Hugo Richard; Pierre Ablin; Bertrand Thirion; Alexandre Gramfort; Aapo Hyvärinen (NeurIPS, 2021)

Adaptive Multi-View ICA: Estimation of noise levels for optimal inference. - Hugo Richard; Pierre Ablin; Aapo Hyvärinen; Alexandre Gramfort; Bertrand Thirion (CoRR, 2021)

Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction. - Marc-Andre Schulz; Bertrand Thirion; Alexandre Gramfort; Gaël Varoquaux; Danilo Bzdok (CoRR, 2021)

An empirical evaluation of functional alignment using inter-subject decoding. - Thomas Bazeille; Elizabeth Dupre; Hugo Richard; Jean-Baptiste Poline; Bertrand Thirion (NeuroImage, 2021)

Decoding with confidence: Statistical control on decoder maps. - Jérôme-Alexis Chevalier; Tuan-Binh Nguyen; Joseph Salmon; Gaël Varoquaux; Bertrand Thirion (NeuroImage, 2021)

Brain topography beyond parcellations: Local gradients of functional maps. - Elvis Dohmatob; Hugo Richard; Ana Luísa Pinho; Bertrand Thirion (NeuroImage, 2021)

Functional annotation of human cognitive states using deep graph convolution. - Yu Zhang 115; Loïc Tetrel; Bertrand Thirion; Pierre Bellec (NeuroImage, 2021)

Extracting representations of cognition across neuroimaging studies improves brain decoding. - Arthur Mensch; Julien Mairal; Bertrand Thirion; Gaël Varoquaux (PLoS Comput. Biol., 2021)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2021)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2021)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2021)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Evgenii Kalenkovich; et al. (Zenodo, 2021)

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 (ICML, 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 (NeurIPS, 2022)

Notip: Non-parametric true discovery proportion control for brain imaging. - Alexandre Blain; Bertrand Thirion; Pierre Neuvial (NeuroImage, 2022)

Spatially relaxed inference on high-dimensional linear models. - Jérôme-Alexis Chevalier; Tuan-Binh Nguyen; Bertrand Thirion; Joseph Salmon (Stat. Comput., 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Evgenii Kalenkovich; et al. (Zenodo, 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Evgenii Kalenkovich; et al. (Zenodo, 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Evgenii Kalenkovich; et al. (Zenodo, 2022)

nipy/nibabel: 3.2.2. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Eric Larson; Satrajit S. Ghosh; et al. (Zenodo, 2022)

nipy/nibabel: 4.0.0rc0. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Eric Larson; Satrajit S. Ghosh; et al. (Zenodo, 2022)

nipy/nibabel. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Eric Larson; Satrajit S. Ghosh; et al. (Zenodo, 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Rémi Gau; et al. (Zenodo, 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Rémi Gau; Hans J. Johnson; et al. (Zenodo, 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Rémi Gau; Hans J. Johnson; et al. (Zenodo, 2022)

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, 2023)

Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax and Context. - Alexandre Pasquiou; Yair Lakretz; Bertrand Thirion; Christophe Pallier (CoRR, 2023)

Probing Brain Context-Sensitivity with Masked-Attention Generation. - Alexandre Pasquiou; Yair Lakretz; Bertrand Thirion; Christophe Pallier (CoRR, 2023)

nipy/nibabel: 5.0.0. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Eric Larson; Satrajit S. Ghosh; et al. (Zenodo, 2023)

nipy/nibabel: 5.0.1. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Eric Larson; Satrajit S. Ghosh; et al. (Zenodo, 2023)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Oscar Esteban; Quinten McNamara; Krista DeStasio; Rémi Gau; Jean-Baptiste Poline; Hans J. Johnson; et al. (Zenodo, 2023)

nipy/nibabel: 5.1.0. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Yaroslav O. Halchenko; Michiel Cottaar; Eric Larson; Satrajit S. Ghosh; et al. (Zenodo, 2023)

Analyses code for the validation study of the CNeuromod controller. - Yann Harel; André Cyr; Julie Boyle; Basile Pinsard; Jeremy Bernard; Marie-France Fourcade; Himanshu Aggarwal; Ana Fernanda Ponce; Bertrand Thirion; Karim Jerbi; Pierre Bellec (Zenodo, 2023)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Oscar Esteban; Rémi Gau; Dimitri Papadopoulos Orfanos; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2023)

A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn. - Hao-Ting Wang; Steven L. Meisler; Hanad Sharmarke; Natasha Clarke; François Paugam; Nicolas Gensollen; Christopher J. Markiewicz; Bertrand Thirion; Pierre Bellec (Zenodo, 2023)

A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn. - Hao-Ting Wang; Steven L. Meisler; Hanad Sharmarke; Natasha Clarke; François Paugam; Nicolas Gensollen; Christopher J. Markiewicz; Bertrand Thirion; Pierre Bellec (Zenodo, 2023)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Rémi Gau; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2023)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Rémi Gau; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2023)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Rémi Gau; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2023)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

nipy/nibabel: 5.2.0. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Eric Larson; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; et al. (Zenodo, 2023)

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

On the Stability of Reduced-Rank Ridge Regression. - David Degras; Thomas Chapalain; Bertrand Thirion (EUSIPCO, 2024)

Across-Subject Ensemble-Learning Alleviates the Need for Large Samples for fMRI Decoding. - Himanshu Aggarwal; Liza Al-Shikhley; Bertrand Thirion (MICCAI (3), 2024)

NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature. - Raphaël Meudec; Fateme Ghayem; Jérôme Dockès; Demian Wassermann; Bertrand Thirion (MICCAI (3), 2024)

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding. - Himanshu Aggarwal; Liza Al-Shikhley; Bertrand Thirion (Zenodo, 2024)

Measuring Variable Importance in Individual Treatment Effect Estimation with High Dimensional Data. - Joseph Paillard; Vitaliy Kolodyazhniy; Bertrand Thirion; Denis A. Engemann (CoRR, 2024)

Continuous evaluation of denoising strategies in resting-state fMRI connectivity using fMRIPrep and Nilearn. - Hao-Ting Wang; Steven L. Meisler; Hanad Sharmarke; Natasha Clarke; Nicolas Gensollen; Christopher J. Markiewicz; François Paugam; Bertrand Thirion; Pierre Bellec (PLoS Comput. Biol., 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)

nipy/nibabel: 5.2.1. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Eric Larson; Yaroslav O. Halchenko; Michiel Cottaar; Satrajit S. Ghosh; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Rémi Gau; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

Mondor-stim: an open-source pipeline to optimize the target for Transcranial Magnetic stimulation, based on fMRI Functional Connectivity. - Charles Laidi; Noomane Bouaziz; Bertrand Thirion; Romain Sayous; Josselin Houenou; Blanche Bapst (Zenodo, 2024)

Mondor-stim: an open-source pipeline to optimize the target for Transcranial Magnetic stimulation, based on fMRI Functional Connectivity. - Charles Laidi; Noomane Bouaziz; Bertrand Thirion; Romain Sayous; Josselin Houenou; Blanche Bapst (Zenodo, 2024)

Mondor-stim: an open-source pipeline to optimize the target for Transcranial Magnetic stimulation, based on fMRI Functional Connectivity. - Julian Talou; Romain Sayous; Noomane Bouaziz; Blanche Bapst; Josselin Houenou; Bertrand Thirion; Charles Laidi (Zenodo, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Rémi Gau; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

Mondor-stim: an open-source pipeline to optimize the target for Transcranial Magnetic stimulation, based on fMRI Functional Connectivity. - Charles Laidi; Noomane Bouaziz; Bertrand Thirion; Romain Sayous; Josselin Houenou; Blanche Bapst (Zenodo, 2024)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Rémi Gau; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Rémi Gau; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

nipy/nibabel: 5.3.0. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Dimitri Papadopoulos Orfanos; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Eric Larson; Yaroslav O. Halchenko; Michiel Cottaar; et al. (Zenodo, 2024)

nipy/nibabel: 5.3.1. - Matthew Brett; Christopher J. Markiewicz; Michael Hanke; Marc-Alexandre Côté; Ben Cipollini; Dimitri Papadopoulos Orfanos; Paul McCarthy; Dorota Jarecka; Christopher P. Cheng; Eric Larson; Yaroslav O. Halchenko; Michiel Cottaar; et al. (Zenodo, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Rémi Gau; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Rémi Gau; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

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

Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction. - Joseph Paillard; Antoine Collas; Denis A. Engemann; Bertrand Thirion (IPMI (2), 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 J. Banville; Jean-Remi King (Trans. Mach. Learn. Res., 2025)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Rémi Gau; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2025)

SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges. - Ce Ju; Reinmar J. Kobler; Antoine Collas; Motoaki Kawanabe; Cuntai Guan; Bertrand Thirion (CoRR, 2025)

Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry. - Antoine Collas; Ce Ju; Nicolas Salvy; Bertrand Thirion (CoRR, 2025)

Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants. - Louis Jalouzot; Alexis Thual; Yair Lakretz; Christophe Pallier; Bertrand Thirion (CoRR, 2025)

Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs. - Sonia Mazelet; Rémi Flamary; Bertrand Thirion (CoRR, 2025)

Enhanced Generative Model Evaluation with Clipped Density and Coverage. - Nicolas Salvy; Hugues Talbot; Bertrand Thirion (CoRR, 2025)