Improving M/EEG Source Localization with an Inter-Condition Sparse Prior. - Alexandre Gramfort; Matthieu Kowalski (ISBI, 2009)

Mapping, timing and tracking cortical activations with MEG and EEG: Methods and application to human vision. (Localisation et suivi d'activité fonctionnelle cérébrale en électro et magnétoencéphalographie: Méthodes et applications au système visuel humain). - Alexandre Gramfort (2009)

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

Graph-Based Variability Estimation in Single-Trial Event-Related Neural Responses. - Alexandre Gramfort; Renaud Keriven; Maureen Clerc (IEEE Trans. Biomed. Eng., 2010)

A priori par normes mixtes pour les problèmes inverses. Application à la localisation de sources en M/EEG. - Matthieu Kowalski; Alexandre Gramfort (Traitement du Signal, 2010)

Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries. - Alexandre Gramfort; Daniel Strohmeier; Jens Haueisen; Matti S. Hämäläinen; Matthieu Kowalski (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)

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)

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)

Forward Field Computation with OpenMEEG. - Alexandre Gramfort; Théodore Papadopoulo; Emmanuel Olivi; Maureen Clerc (Comput. Intell. Neurosci., 2011)

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

Tracking cortical activity from M/EEG using graph cuts with spatiotemporal constraints. - Alexandre Gramfort; Théodore Papadopoulo; Sylvain Baillet; Maureen Clerc (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)

Sparse DSI: Learning DSI Structure for Denoising and Fast Imaging. - Alexandre Gramfort; Cyril Poupon; Maxime Descoteaux (MICCAI (2), 2012)

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

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

Non-negative matrix factorization for single-channel EEG artifact rejection. - Cécilia Damon; Antoine Liutkus; Alexandre Gramfort; Slim Essid (ICASSP, 2013)

Learning from M/EEG Data with Variable Brain Activation Delays. - Wojciech Zaremba; M. Pawan Kumar; Alexandre Gramfort; Matthew B. Blaschko (IPMI, 2013)

Non-negative Tensor Factorization for single-channel EEG artifact rejection. - Cécilia Damon; Antoine Liutkus; Alexandre Gramfort; Slim Essid (MLSP, 2013)

Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures. - Michael Eickenberg; Mehdi Senoussi; Fabian Pedregosa; Alexandre Gramfort; 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)

API design for machine learning software: experiences from the scikit-learn project. - Lars Buitinck; Gilles Louppe; Mathieu Blondel; Fabian Pedregosa; Andreas Mueller; Olivier Grisel; Vlad Niculae; Peter Prettenhofer; Alexandre Gramfort; Jaques Grobler; Robert Layton; Jake VanderPlas; et al. (CoRR, 2013)

Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals - Sebastian Hitziger; Maureen Clerc; Alexandre Gramfort; Sandrine Saillet; Christian G. Bénar; Théodore Papadopoulo (ICLR (Poster), 2013)

Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations. - Alexandre Gramfort; Daniel Strohmeier; Jens Haueisen; Matti S. Hämäläinen; Matthieu Kowalski (NeuroImage, 2013)

Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness. - Jean-Remi King; Frédéric Faugeras; Alexandre Gramfort; Aaron Schurger; Imen El Karoui; Jacobo D. Sitt; Benjamin Rohaut; Catherine Wacongne; Etienne Labyt; Tristán Bekinschtein; Laurent Cohen; Lionel Naccache; et al. (NeuroImage, 2013)

Decoding perceptual thresholds from MEG/EEG. - Yousra Bekhti; Nicolas Zilber; Fabian Pedregosa; Philippe Ciuciu; Virginie van Wassenhove; Alexandre Gramfort (PRNI, 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)

Improved MEG/EEG source localization with reweighted mixed-norms. - Daniel Strohmeier; Jens Haueisen; Alexandre Gramfort (PRNI, 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)

Denoising and fast diffusion imaging with physically constrained sparse dictionary learning. - Alexandre Gramfort; Cyril Poupon; Maxime Descoteaux (Medical Image Anal., 2014)

MNE software for processing MEG and EEG data. - Alexandre Gramfort; Martin Luessi; Eric Larson; Denis A. Engemann; Daniel Strohmeier; Christian Brodbeck; Lauri Parkkonen; Matti S. Hämäläinen (NeuroImage, 2014)

Encoding of event timing in the phase of neural oscillations. - Anne Kösem; Alexandre Gramfort; Virginie van Wassenhove (NeuroImage, 2014)

Supramodal processing optimizes visual perceptual learning and plasticity. - Nicolas Zilber; Philippe Ciuciu; Alexandre Gramfort; Leila Azizi; Virginie van Wassenhove (NeuroImage, 2014)

Blind Denoising with Random Greedy Pursuits. - Manuel Moussallam; Alexandre Gramfort; Laurent Daudet; Gaël Richard (IEEE Signal Process. Lett., 2014)

Calibration of One-Class SVM for MV set estimation. - Albert Thomas 001; Vincent Feuillard; Alexandre Gramfort (DSAA, 2015)

Inverse problems with time-frequency dictionaries and non-white Gaussian noise. - Matthieu Kowalski; Alexandre Gramfort (EUSIPCO, 2015)

FAμST: Speeding up linear transforms for tractable inverse problems. - Luc Le Magoarou; Rémi Gribonval; Alexandre Gramfort (EUSIPCO, 2015)

Mind the duality gap: safer rules for the Lasso. - Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (ICML, 2015)

Fast Optimal Transport Averaging of Neuroimaging Data. - Alexandre Gramfort; Gabriel Peyré; Marco Cuturi (IPMI, 2015)

GAP Safe screening rules for sparse multi-task and multi-class models. - Eugène Ndiaye; Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (NIPS, 2015)

Mind the Noise Covariance When Localizing Brain Sources with M/EEG. - Denis A. Engemann; Daniel Strohmeier; Eric Larson; Alexandre Gramfort (PRNI, 2015)

MEG/EEG Source Imaging with a Non-Convex Penalty in the Time-Frequency Domain. - Daniel Strohmeier; Alexandre Gramfort; Jens Haueisen (PRNI, 2015)

Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals. - Denis A. Engemann; Alexandre Gramfort (NeuroImage, 2015)

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

GAP Safe Screening Rules for Sparse-Group Lasso. - Eugène Ndiaye; Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (NIPS, 2016)

M/EEG source localization with multi-scale time-frequency dictionaries. - Yousra Bekhti; Daniel Strohmeier; Mainak Jas; Roland Badeau; Alexandre Gramfort (PRNI, 2016)

Automated rejection and repair of bad trials in MEG/EEG. - Mainak Jas; Denis A. Engemann; Federico Raimondo; Yousra Bekhti; Alexandre Gramfort (PRNI, 2016)

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression. - Eugène Ndiaye; Olivier Fercoq; Alexandre Gramfort; Vincent Leclère; Joseph Salmon (CoRR, 2016)

The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction. - Daniel Strohmeier; Yousra Bekhti; Jens Haueisen; Alexandre Gramfort (IEEE Trans. Medical Imaging, 2016)

Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.12.0-rc1. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher Burns 002; Erik Ziegler; Basile Pinsard; Cindee M. Madison; Michael L. Waskom; David Gage Ellis; Dav Clark; Michael Dayan; Alexandre Manhães-Savio; Michael Philipp Notter; et al. (Zenodo, 2016)

Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere. - Albert Thomas 001; Stéphan Clémençon; Alexandre Gramfort; Anne Sabourin (AISTATS, 2017)

Hyperparameter estimation in maximum a posteriori regression using group sparsity with an application to brain imaging. - Yousra Bekhti; Roland Badeau; Alexandre Gramfort (EUSIPCO, 2017)

Caveats with Stochastic Gradient and Maximum Likelihood Based ICA for EEG. - Jair Montoya-Martínez; Jean-François Cardoso; Alexandre Gramfort (LVA/ICA, 2017)

Parametric estimation of spectrum driven by an exogenous signal. - Tom Dupré la Tour; Yves Grenier; Alexandre Gramfort (ICASSP, 2017)

Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding. - Mainak Jas; Tom Dupré la Tour; Umut Simsekli; Alexandre Gramfort (NIPS, 2017)

A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series. - Stanislas Chambon; Mathieu Galtier; Pierrick Arnal; Gilles Wainrib; Alexandre Gramfort (CoRR, 2017)

Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy. - Laetitia Le; Camille Marini; Alexandre Gramfort; David Nguyen; Mehdi Cherti; Sana Tfaili; Ali Tfayli; Arlette Baillet-Guffroy; Patrice Prognon; Pierre Chaminade; Eric Caudron; Balázs Kégl (CoRR, 2017)

From safe screening rules to working sets for faster Lasso-type solvers. - Mathurin Massias; Alexandre Gramfort; Joseph Salmon (CoRR, 2017)

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

Gap Safe Screening Rules for Sparsity Enforcing Penalties. - Eugène Ndiaye; Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (J. Mach. Learn. Res., 2017)

On the Consistency of Ordinal Regression Methods. - Fabian Pedregosa; Francis R. Bach; Alexandre Gramfort (J. Mach. Learn. Res., 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)

Autoreject: Automated artifact rejection for MEG and EEG data. - Mainak Jas; Denis A. Engemann; Yousra Bekhti; Federico Raimondo; Alexandre Gramfort (NeuroImage, 2017)

Non-linear auto-regressive models for cross-frequency coupling in neural time series. - Tom Dupré la Tour; Lucille Tallot; Laetitia Grabot; Valérie Doyère; Virginie van Wassenhove; Yves Grenier; Alexandre Gramfort (PLoS Comput. Biol., 2017)

Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13.0. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher Burns 002; Erik Ziegler; Basile Pinsard; Cindee M. Madison; Michael L. Waskom; David Gage Ellis; Dav Clark; Jason Wong; Michael Dayan; Alexandre Manhães-Savio; et al. (Zenodo, 2017)

Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13.1. - Krzysztof J. Gorgolewski; Oscar Esteban; David Gage Ellis; Michael Philipp Notter; Erik Ziegler; Hans J. Johnson; Carlo Hämäläinen; Benjamin Yvernault; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; Christopher J. Markiewicz; et al. (Zenodo, 2017)

nipy/nipype: 0.14.0-rc1. - Krzysztof J. Gorgolewski; Oscar Esteban; David Gage Ellis; Michael Philipp Notter; Erik Ziegler; Hans J. Johnson; Carlo Hämäläinen; Benjamin Yvernault; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; Christopher J. Markiewicz; et al. (Zenodo, 2017)

nipy/nipype: 0.14.0-rc1. - Krzysztof J. Gorgolewski; Oscar Esteban; David Gage Ellis; Michael Philipp Notter; Erik Ziegler; Hans J. Johnson; Carlo Hämäläinen; Benjamin Yvernault; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; Christopher J. Markiewicz; et al. (Zenodo, 2017)

nipy/nipype: 0.14.0. - Krzysztof J. Gorgolewski; Oscar Esteban; David Gage Ellis; Michael Philipp Notter; Erik Ziegler; Hans J. Johnson; Carlo Hämäläinen; Benjamin Yvernault; Christopher J. Markiewicz; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; et al. (Zenodo, 2017)

Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression. - Mathurin Massias; Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (AISTATS, 2018)

Accelerating Likelihood Optimization for ICA on Real Signals. - Pierre Ablin; Jean-François Cardoso; Alexandre Gramfort (LVA/ICA, 2018)

Faster ICA Under Orthogonal Constraint. - Pierre Ablin; Jean-François Cardoso; Alexandre Gramfort (ICASSP, 2018)

An Ensemble Learning Approach to Detect Epileptic Seizures from Long Intracranial EEG Recordings. - Jean-Baptiste Schiratti; Jean-Eudes Le Douget; Michel Le Van Quyen; Slim Essid; Alexandre Gramfort (ICASSP, 2018)

Driver Estimation in Non-Linear Autoregressive Models. - Tom Dupré la Tour; Yves Grenier; Alexandre Gramfort (ICASSP, 2018)

Celer: a Fast Solver for the Lasso with Dual Extrapolation. - Mathurin Massias; Joseph Salmon; Alexandre Gramfort (ICML, 2018)

A Deep Learning Architecture to Detect Events in EEG Signals During Sleep. - Stanislas Chambon; Valentin Thorey; Pierrick J. Arnal; Emmanuel Mignot; Alexandre Gramfort (MLSP, 2018)

Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals. - Tom Dupré la Tour; Thomas Moreau 001; Mainak Jas; Alexandre Gramfort (NeurIPS, 2018)

Domain adaptation with optimal transport improves EEG sleep stage classifiers. - Stanislas Chambon; Mathieu N. Galtier; Alexandre Gramfort (PRNI, 2018)

EM algorithms for ICA. - Pierre Ablin; Alexandre Gramfort; Jean-François Cardoso; Francis R. Bach (CoRR, 2018)

DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal. - Stanislas Chambon; Valentin Thorey; Pierrick J. Arnal; Emmanuel Mignot; Alexandre Gramfort (CoRR, 2018)

Faster Independent Component Analysis by Preconditioning With Hessian Approximations. - Pierre Ablin; Jean-François Cardoso; Alexandre Gramfort (IEEE Trans. Signal Process., 2018)

nipy/nipype: Nipype - v1.0.0. - Krzysztof J. Gorgolewski; Oscar Esteban; Erik Ziegler; Michael Philipp Notter; Christopher Burns 002; David Gage Ellis; Hans J. Johnson; Alexandre Manhães-Savio; Carlo Hämäläinen; Dorota Jarecka; Benjamin Yvernault; Christopher J. Markiewicz; et al. (Zenodo, 2018)

nipy/nipype: 1.0.1. - Krzysztof J. Gorgolewski; Oscar Esteban; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Christopher J. Markiewicz; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.0.2. - Krzysztof J. Gorgolewski; Oscar Esteban; Erik Ziegler; David Gage Ellis; Christopher J. Markiewicz; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: Nipype 1.0.3. - Krzysztof J. Gorgolewski; Oscar Esteban; Erik Ziegler; Christopher J. Markiewicz; David Gage Ellis; Michael Philipp Notter; Dorota Jarecka; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.0.4. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Dorota Jarecka; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.0.4. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Dorota Jarecka; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: Nipype 1.1.0. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Dorota Jarecka; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.1. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Hans J. Johnson; Dorota Jarecka; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.2. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Hans J. Johnson; Dorota Jarecka; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.3. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.4. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hamalainen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.5. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.6. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.7. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

Stochastic algorithms with descent guarantees for ICA. - Pierre Ablin; Alexandre Gramfort; Jean-François Cardoso; Francis R. Bach (AISTATS, 2019)

Wasserstein regularization for sparse multi-task regression. - Hicham Janati; Marco Cuturi; Alexandre Gramfort (AISTATS, 2019)

Beyond Pham's algorithm for joint diagonalization. - Pierre Ablin; Jean-François Cardoso; Alexandre Gramfort (ESANN, 2019)

A Quasi-Newton Algorithm on the Orthogonal Manifold for NMF with Transform Learning. - Pierre Ablin; Dylan Fagot; Herwig Wendt; Alexandre Gramfort; Cédric Févotte (ICASSP, 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)

Self-Supervised Representation Learning from Electroencephalography Signals. - Hubert J. Banville; Graeme Moffat; Isabela Albuquerque; Denis-Alexander Engemann; Aapo Hyvärinen; Alexandre Gramfort (MLSP, 2019)

Learning step sizes for unfolded sparse coding. - Pierre Ablin; Thomas Moreau 001; Mathurin Massias; Alexandre Gramfort (NeurIPS, 2019)

Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso. - Quentin Bertrand; Mathurin Massias; Alexandre Gramfort; Joseph Salmon (NeurIPS, 2019)

Manifold-regression to predict from MEG/EEG brain signals without source modeling. - David Sabbagh; Pierre Ablin; Gaël Varoquaux; Alexandre Gramfort; Denis A. Engemann (NeurIPS, 2019)

Deep learning-based electroencephalography analysis: a systematic review. - Yannick Roy; Hubert J. Banville; Isabela Albuquerque; Alexandre Gramfort; Tiago H. Falk; Jocelyn Faubert (CoRR, 2019)

Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals. - Thomas Moreau 001; Alexandre Gramfort (CoRR, 2019)

Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise. - Quentin Bertrand; Mathurin Massias; Alexandre Gramfort; Joseph Salmon (CoRR, 2019)

Dual Extrapolation for Sparse Generalized Linear Models. - Mathurin Massias; Samuel Vaiter; Alexandre Gramfort; Joseph Salmon (CoRR, 2019)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; et al. (J. Open Source Softw., 2019)

nipy/nipype: 1.1.8. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2019)

nipy/nipype: 1.1.9. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; 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)

nipy/nipype: 1.2.0. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; 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)

nipy/nipype: 1.2.1. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Hans J. Johnson; Michael Philipp Notter; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; 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)

nipy/nipype: 1.2.3. - Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Hans J. Johnson; Michael Philipp Notter; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; Taylor Salo; et al. (Zenodo, 2019)

nipy/nipype: 1.2.2. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Hans J. Johnson; Michael Philipp Notter; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2019)

nipy/nipype: 1.2.2. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Hans J. Johnson; Michael Philipp Notter; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2019)

nipy/nipype: 1.3.0-rc1. - Oscar Esteban; Christopher J. Markiewicz; Dorota Jarecka; Erik Ziegler; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Michael Philipp Notter; Benjamin Yvernault; David Gage Ellis; Taylor Salo; 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)

nipy/nipype: 1.3.0. - Oscar Esteban; Christopher J. Markiewicz; Dorota Jarecka; Erik Ziegler; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Michael Philipp Notter; Benjamin Yvernault; David Gage Ellis; Taylor Salo; et al. (Zenodo, 2019)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; 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)

nipy/nipype: 1.4.0. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Hans J. Johnson; Erik Ziegler; Alexandre Manhães-Savio; Dorota Jarecka; David Gage Ellis; Benjamin Yvernault; Carlo Hämäläinen; Michael Philipp Notter; Taylor Salo; et al. (Zenodo, 2019)

Spatio-temporal alignments: Optimal transport through space and time. - Hicham Janati; Marco Cuturi; Alexandre Gramfort (AISTATS, 2020)

Support recovery and sup-norm convergence rates for sparse pivotal estimation. - Mathurin Massias; Quentin Bertrand; Alexandre Gramfort; Joseph Salmon (AISTATS, 2020)

Implicit differentiation of Lasso-type models for hyperparameter optimization. - Quentin Bertrand; Quentin Klopfenstein; Mathieu Blondel; Samuel Vaiter; Alexandre Gramfort; Joseph Salmon (ICML, 2020)

Debiased Sinkhorn barycenters. - Hicham Janati; Marco Cuturi; Alexandre Gramfort (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)

Uncovering the structure of clinical EEG signals with self-supervised learning. - Hubert J. Banville; Omar Chehab; Aapo Hyvärinen; Denis-Alexander Engemann; Alexandre Gramfort (CoRR, 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)

Model identification and local linear convergence of coordinate descent. - Quentin Klopfenstein; Quentin Bertrand; Alexandre Gramfort; Joseph Salmon; Samuel Vaiter (CoRR, 2020)

Learning summary features of time series for likelihood free inference. - Pedro L. C. Rodrigues; Alexandre Gramfort (CoRR, 2020)

Comparison of beamformer implementations for MEG source localization. - Amit Jaiswal; Jukka Nenonen; Matti Stenroos; Alexandre Gramfort; Sarang S. Dalal; Britta U. Westner; Vladimir Litvak; John C. Mosher; Jan-Mathijs Schoffelen; Caroline Witton; Robert Oostenveld; Lauri Parkkonen (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)

Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states. - David Sabbagh; Pierre Ablin; Gaël Varoquaux; Alexandre Gramfort; Denis A. Engemann (NeuroImage, 2020)

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. - Gabriel A. Brat; Griffin M. Weber; Nils Gehlenborg; Paul Avillach; Nathan P. Palmer; Luca Chiovato; James J. Cimino; Lemuel R. Waitman; Gilbert S. Omenn; Alberto Malovini; Jason H. Moore; Brett K. Beaulieu-Jones; et al. (npj Digit. Medicine, 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)

nipy/nipype: 1.4.1. - Oscar Esteban; Christopher J. Markiewicz; Hans J. Johnson; Erik Ziegler; Alexandre Manhães-Savio; Dorota Jarecka; Christopher Burns 002; David Gage Ellis; Carlo Hämäläinen; Michael Philipp Notter; Benjamin Yvernault; Taylor Salo; et al. (Zenodo, 2020)

nipy/nipype: 1.4.2. - Oscar Esteban; Christopher J. Markiewicz; Hans J. Johnson; Erik Ziegler; Alexandre Manhães-Savio; Dorota Jarecka; Christopher Burns 002; David Gage Ellis; Carlo Hämäläinen; Michael Philipp Notter; Benjamin Yvernault; Taylor Salo; 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)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; 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)

nipy/nipype: 1.5.0. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2020)

nipy/nipype: 1.5.1. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2020)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; 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)

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)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; et al. (Zenodo, 2020)

Learning with self-supervision on EEG data. - Alexandre Gramfort; Hubert J. Banville; Omar Chehab; Aapo Hyvärinen; Denis A. Engemann (BCI, 2021)

Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects. - Charlotte Caucheteux; Alexandre Gramfort; Jean-Remi King (EMNLP (Findings), 2021)

Disentangling syntax and semantics in the brain with deep networks. - Charlotte Caucheteux; Alexandre Gramfort; Jean-Remi King (ICML, 2021)

Cytoarchitecture Measurements in Brain Gray Matter Using Likelihood-Free Inference. - Maëliss Jallais; Pedro L. C. Rodrigues; Alexandre Gramfort; Demian Wassermann (IPMI, 2021)

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

HNPE: Leveraging Global Parameters for Neural Posterior Estimation. - Pedro Rodrigues 002; Thomas Moreau 001; Gilles Louppe; Alexandre Gramfort (NeurIPS, 2021)

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. - Xiaoxi Wei; A. Aldo Faisal; Moritz Grosse-Wentrup; Alexandre Gramfort; Sylvain Chevallier; Vinay Jayaram; Camille Jeunet; Stylianos Bakas; Siegfried Ludwig; Konstantinos Barmpas; Mehdi Bahri; Yannis Panagakis; et al. (NeurIPS (Competition and Demos), 2021)

Leveraging Global Parameters for Flow-based Neural Posterior Estimation. - Pedro L. C. Rodrigues; Thomas Moreau 001; Gilles Louppe; Alexandre Gramfort (CoRR, 2021)

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

Decomposing lexical and compositional syntax and semantics with deep language models. - Charlotte Caucheteux; Alexandre Gramfort; Jean-Remi King (CoRR, 2021)

Deep Recurrent Encoder: A scalable end-to-end network to model brain signals. - Omar Chehab; Alexandre Défossez; Jean-Christophe Loiseau; Alexandre Gramfort; Jean-Remi King (CoRR, 2021)

CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals. - Cédric Rommel; Thomas Moreau 001; Alexandre Gramfort (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)

Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements. - Maëliss Jallais; Pedro Rodrigues 002; Alexandre Gramfort; Demian Wassermann (CoRR, 2021)

Long-range and hierarchical language predictions in brains and algorithms. - Charlotte Caucheteux; Alexandre Gramfort; Jean-Remi King (CoRR, 2021)

DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals. - Cédric Allain; Alexandre Gramfort; Thomas Moreau 001; A. Preprint (CoRR, 2021)

POT: Python Optimal Transport. - Rémi Flamary; Nicolas Courty; Alexandre Gramfort; Mokhtar Z. Alaya; Aurélie Boisbunon; Stanislas Chambon; Laetitia Chapel; Adrien Corenflos; Kilian Fatras; Nemo Fournier; Léo Gautheron; Nathalie T. H. Gayraud; et al. (J. Mach. Learn. Res., 2021)

mvlearn: Multiview Machine Learning in Python. - Ronan Perry; Gavin Mischler; Richard Guo; Theo Lee; Alexander Chang; Arman Koul; Cameron Franz; Hugo Richard; Iain Carmichael; Pierre Ablin; Alexandre Gramfort; Joshua T. Vogelstein (J. Mach. Learn. Res., 2021)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; et al. (Zenodo, 2021)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon L. Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; et al. (Zenodo, 2021)

nipy/nipype: 1.7.0. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2021)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon L. Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; et al. (Zenodo, 2021)

LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso. - Kenan Sehic; Alexandre Gramfort; Joseph Salmon; Luigi Nardi (AutoML, 2022)

DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals. - Cédric Allain; Alexandre Gramfort; Thomas Moreau 001 (ICLR, 2022)

CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals. - Cédric Rommel; Thomas Moreau 001; Joseph Paillard; Alexandre Gramfort (ICLR, 2022)

Benchopt: Reproducible, efficient and collaborative optimization benchmarks. - Thomas Moreau 001; Mathurin Massias; Alexandre Gramfort; Pierre Ablin; Pierre-Antoine Bannier; Benjamin Charlier; Mathieu Dagréou; Tom Dupré la Tour; Ghislain Durif; Cássio F. Dantas; Quentin Klopfenstein; Johan Larsson 002; et al. (NeurIPS, 2022)

Toward a realistic model of speech processing in the brain with self-supervised learning. - Juliette Millet; Charlotte Caucheteux; Pierre Orhan; Yves Boubenec; Alexandre Gramfort; Ewan Dunbar; Christophe Pallier; Jean-Remi King (NeurIPS, 2022)

Deep invariant networks with differentiable augmentation layers. - Cédric Rommel; Thomas Moreau 001; Alexandre Gramfort (NeurIPS, 2022)

The optimal noise in noise-contrastive learning is not what you think. - Omar Chehab; Alexandre Gramfort; Aapo Hyvärinen (UAI, 2022)

Averaging Spatio-temporal Signals using Optimal Transport and Soft Alignments. - Hicham Janati; Marco Cuturi; Alexandre Gramfort (CoRR, 2022)

Data augmentation for learning predictive models on EEG: a systematic comparison. - Cédric Rommel; Joseph Paillard; Thomas Moreau 001; Alexandre Gramfort (CoRR, 2022)

Validation Diagnostics for SBI algorithms based on Normalizing Flows. - Julia Linhart; Alexandre Gramfort; Pedro L. C. Rodrigues (CoRR, 2022)

Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning. - Quentin Bertrand; Quentin Klopfenstein; Mathurin Massias; Mathieu Blondel; Samuel Vaiter; Alexandre Gramfort; Joseph Salmon (J. Mach. Learn. Res., 2022)

Intracranial Electrode Location and Analysis in MNE-Python. - Alexander Rockhill; Eric Larson; Brittany Stedelin; Alessandra Mantovani; Ahmed M. Raslan; Alexandre Gramfort; Nicole C. Swann (J. Open Source Softw., 2022)

Robust learning from corrupted EEG with dynamic spatial filtering. - Hubert J. Banville; Sean U. N. Wood; Chris Aimone; Denis-Alexander Engemann; Alexandre Gramfort (NeuroImage, 2022)

A reusable benchmark of brain-age prediction from M/EEG resting-state signals. - Denis A. Engemann; Apolline Mellot; Richard Höchenberger; Hubert J. Banville; David Sabbagh; Lukas Gemein; Tonio Ball; Alexandre Gramfort (NeuroImage, 2022)

A unified view on beamformers for M/EEG source reconstruction. - Britta U. Westner; Sarang S. Dalal; Alexandre Gramfort; Vladimir Litvak; John C. Mosher; Robert Oostenveld; Jan-Mathijs Schoffelen (NeuroImage, 2022)

DiCoDiLe: Distributed Convolutional Dictionary Learning. - Thomas Moreau 001; Alexandre Gramfort (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Intracranial Electrode Location and Analysis in MNE-Python. - Alexander Rockhill; Eric Larson; Brittany Stedelin; Alessandra Mantovani; Ahmed M. Raslan; Alexandre Gramfort; Nicole C. Swann (Zenodo, 2022)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon L. Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; et al. (Zenodo, 2022)

nipy/nipype: 1.7.1. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2022)

nipy/nipype: 1.8.0. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2022)

nipy/nipype: 1.8.1. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; 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)

pyRiemann/pyRiemann: v0.3. - Alexandre Barachant; Quentin Barthélemy; Jean-Rémi King; Alexandre Gramfort; Sylvain Chevallier; Pedro L. C. Rodrigues; Emanuele Olivetti; Vladislav Goncharenko; Gabriel Wagner vom Berg; Ghiles Reguig; Arthur Lebeurrier; Erik Bjäreholt; et al. (Zenodo, 2022)

nipy/nipype: 1.8.3. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2022)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon L. Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; et al. (Zenodo, 2022)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon L. Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; et al. (Zenodo, 2022)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon L. Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; et al. (Zenodo, 2022)

FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels. - Guillaume Staerman; Cédric Allain; Alexandre Gramfort; Thomas Moreau 001 (ICML, 2023)

Multiview Independent Component Analysis with Delays. - Ambroise Heurtebise; Pierre Ablin; Alexandre Gramfort (MLSP, 2023)

Convolution Monge Mapping Normalization for learning on sleep data. - Théo Gnassounou; Rémi Flamary; Alexandre Gramfort (NeurIPS, 2023)

L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference. - Julia Linhart; Alexandre Gramfort; Pedro Rodrigues 002 (NeurIPS, 2023)

Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation. - Omar Chehab; Alexandre Gramfort; Aapo Hyvärinen (CoRR, 2023)

Convolutional Monge Mapping Normalization for learning on biosignals. - Théo Gnassounou; Rémi Flamary; Alexandre Gramfort (CoRR, 2023)

Evaluating the structure of cognitive tasks with transfer learning. - Bruno Aristimunha; Raphael Y. de Camargo; Walter Hugo Lopez Pinaya; Sylvain Chevallier; Alexandre Gramfort; Cédric Rommel (CoRR, 2023)

Using convolutional dictionary learning to detect task-related neuromagnetic transients and ageing trends in a large open-access dataset. - Lindsey Power; Cédric Allain; Thomas Moreau 001; Alexandre Gramfort; Timothy Bardouille (NeuroImage, 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)

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)

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)

mne-connectivity. - Adam Li; Daniel McCloy; Eric Larson; Britta U. Westner; Alexander Kroner; Alexandre Gramfort (Zenodo, 2023)

Physics-Informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets. - Apolline Mellot; Antoine Collas; Sylvain Chevallier; Denis A. Engemann; Alexandre Gramfort (EUSIPCO, 2024)

Geodesic Optimization for Predictive Shift Adaptation on EEG data. - Apolline Mellot; Antoine Collas; Sylvain Chevallier; Alexandre Gramfort; Denis A. Engemann (NeurIPS, 2024)

emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography. - Viswanath Sivakumar; Jeffrey Seely; Alan Du; Sean R. Bittner; Adam Berenzweig; Anuoluwapo Bolarinwa; Alexandre Gramfort; Michael I. Mandel (NeurIPS, 2024)

Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications. - Antoine Collas; Rémi Flamary; Alexandre Gramfort (CoRR, 2024)

Cycling on the Freeway: The Perilous State of Open Source Neuroscience Software. - Britta U. Westner; Daniel R. McCloy; Eric Larson; Alexandre Gramfort; Daniel S. Katz; Arfon M. Smith; invited co-signees (CoRR, 2024)

Diffusion posterior sampling for simulation-based inference in tall data settings. - Julia Linhart; Gabriel Victorino Cardoso; Alexandre Gramfort; Sylvain Le Corff; Pedro L. C. Rodrigues (CoRR, 2024)

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation. - Yanis Lalou; Théo Gnassounou; Antoine Collas; Antoine de Mathelin; Oleksii Kachaiev; Ambroise Odonnat; Alexandre Gramfort; Thomas Moreau 001; Rémi Flamary (CoRR, 2024)

Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment. - Théo Gnassounou; Antoine Collas; Rémi Flamary; Karim Lounici; Alexandre Gramfort (CoRR, 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)

Local linear convergence of proximal coordinate descent algorithm. - Quentin Klopfenstein; Quentin Bertrand; Alexandre Gramfort; Joseph Salmon; Samuel Vaiter (Optim. Lett., 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)

Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference. - Nicholas Tolley; Pedro L. C. Rodrigues; Alexandre Gramfort; Stephanie R. Jones (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)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon L. Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; et al. (Zenodo, 2024)

mne-connectivity. - Adam Li; Daniel McCloy; Eric Larson; Britta U. Westner; Alexander Kroner; Alexandre Gramfort; Thomas Samuel Binns; Mohammad Orabe (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)

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)

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. - Stefan Appelhoff; Matthew Sanderson; Teon L. Brooks; Marijn van Vliet; Romain Quentin; Chris Holdgraf; Maximilien Chaumon; Ezequiel Mikulan; Kambiz Tavabi; Richard Höchenberger; Dominik Welke; Clemens Brunner 001; 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)

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities. - Yanis Lalou; Théo Gnassounou; Antoine Collas; Antoine de Mathelin; Ambroise Odonnat; Thomas Moreau 001; Alexandre Gramfort; Rémi Flamary (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)

MVICAD2: Multi-View Independent Component Analysis with Delays and Dilations. - Ambroise Heurtebise; Omar Chehab; Pierre Ablin; Alexandre Gramfort (CoRR, 2025)

Identifiable Multi-View Causal Discovery Without Non-Gaussianity. - Ambroise Heurtebise; Omar Chehab; Pierre Ablin; Alexandre Gramfort; Aapo Hyvärinen (CoRR, 2025)

PSDNorm: Test-Time Temporal Normalization for Deep Learning on EEG Signals. - Théo Gnassounou; Antoine Collas; Rémi Flamary; Alexandre Gramfort (CoRR, 2025)

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. - Bruno Aristimunha; Dung Truong; Pierre Guetschel; Seyed Yahya Shirazi; Isabelle Guyon; Alexandre R. Franco; Michael P. Milham; Aviv Dotan; Scott Makeig; Alexandre Gramfort; Jean-Remi King; Marie-Constance Corsi; et al. (CoRR, 2025)