Alexandre Gramfort

According to our database1, Alexandre Gramfort authored at least 120 papers between 2009 and 2021.

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Bibliography

2021
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals.
CoRR, 2021

Robust learning from corrupted EEG with dynamic spatial filtering.
CoRR, 2021

Implicit differentiation for fast hyperparameter selection in non-smooth convex learning.
CoRR, 2021

Deep Recurrent Encoder: A scalable end-to-end network to model brain signals.
CoRR, 2021

Decomposing lexical and compositional syntax and semantics with deep language models.
CoRR, 2021

Adaptive Multi-View ICA: Estimation of noise levels for optimal inference.
CoRR, 2021

Leveraging Global Parameters for Flow-based Neural Posterior Estimation.
CoRR, 2021

Cytoarchitecture Measurements in Brain Gray Matter Using Likelihood-Free Inference.
Proceedings of the Information Processing in Medical Imaging, 2021

Disentangling syntax and semantics in the brain with deep networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states.
NeuroImage, 2020

Multi-subject MEG/EEG source imaging with sparse multi-task regression.
NeuroImage, 2020

Comparison of beamformer implementations for MEG source localization.
NeuroImage, 2020

Learning summary features of time series for likelihood free inference.
CoRR, 2020

Model identification and local linear convergence of coordinate descent.
CoRR, 2020

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso.
CoRR, 2020

Uncovering the structure of clinical EEG signals with self-supervised learning.
CoRR, 2020

Modeling Shared responses in Neuroimaging Studies through MultiView ICA.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Debiased Sinkhorn barycenters.
Proceedings of the 37th International Conference on Machine Learning, 2020

Implicit differentiation of Lasso-type models for hyperparameter optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Support recovery and sup-norm convergence rates for sparse pivotal estimation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Spatio-temporal alignments: Optimal transport through space and time.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis.
J. Open Source Softw., 2019

Dual Extrapolation for Sparse Generalized Linear Models.
CoRR, 2019

Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise.
CoRR, 2019

Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals.
CoRR, 2019

Deep learning-based electroencephalography analysis: a systematic review.
CoRR, 2019

Manifold-regression to predict from MEG/EEG brain signals without source modeling.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning step sizes for unfolded sparse coding.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Self-Supervised Representation Learning from Electroencephalography Signals.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates.
Proceedings of the Information Processing in Medical Imaging, 2019

A Quasi-Newton Algorithm on the Orthogonal Manifold for NMF with Transform Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

Beyond Pham's algorithm for joint diagonalization.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Wasserstein regularization for sparse multi-task regression.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Stochastic algorithms with descent guarantees for ICA.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Faster Independent Component Analysis by Preconditioning With Hessian Approximations.
IEEE Trans. Signal Process., 2018

DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal.
CoRR, 2018

EM algorithms for ICA.
CoRR, 2018

Domain adaptation with optimal transport improves EEG sleep stage classifiers.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Deep Learning Architecture to Detect Events in EEG Signals During Sleep.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Celer: a Fast Solver for the Lasso with Dual Extrapolation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Driver Estimation in Non-Linear Autoregressive Models.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

An Ensemble Learning Approach to Detect Epileptic Seizures from Long Intracranial EEG Recordings.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Faster ICA Under Orthogonal Constraint.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Accelerating Likelihood Optimization for ICA on Real Signals.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Non-linear auto-regressive models for cross-frequency coupling in neural time series.
PLoS Comput. Biol., 2017

Autoreject: Automated artifact rejection for MEG and EEG data.
NeuroImage, 2017

Seeing it all: Convolutional network layers map the function of the human visual system.
NeuroImage, 2017

On the Consistency of Ordinal Regression Methods.
J. Mach. Learn. Res., 2017

Gap Safe Screening Rules for Sparsity Enforcing Penalties.
J. Mach. Learn. Res., 2017

Convolutional Network Layers Map the Function of the Human Visual Cortex.
ERCIM News, 2017

From safe screening rules to working sets for faster Lasso-type solvers.
CoRR, 2017

Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy.
CoRR, 2017

A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series.
CoRR, 2017

Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Parametric estimation of spectrum driven by an exogenous signal.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Caveats with Stochastic Gradient and Maximum Likelihood Based ICA for EEG.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Hyperparameter estimation in maximum a posteriori regression using group sparsity with an application to brain imaging.
Proceedings of the 25th European Signal Processing Conference, 2017

Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction.
IEEE Trans. Medical Imaging, 2016

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression.
CoRR, 2016

Automated rejection and repair of bad trials in MEG/EEG.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

M/EEG source localization with multi-scale time-frequency dictionaries.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

GAP Safe Screening Rules for Sparse-Group Lasso.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Data-driven HRF estimation for encoding and decoding models.
NeuroImage, 2015

Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals.
NeuroImage, 2015

MEG/EEG Source Imaging with a Non-Convex Penalty in the Time-Frequency Domain.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Mind the Noise Covariance When Localizing Brain Sources with M/EEG.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

GAP Safe screening rules for sparse multi-task and multi-class models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Fast Optimal Transport Averaging of Neuroimaging Data.
Proceedings of the Information Processing in Medical Imaging, 2015

Mind the duality gap: safer rules for the Lasso.
Proceedings of the 32nd International Conference on Machine Learning, 2015

FAμST: Speeding up linear transforms for tractable inverse problems.
Proceedings of the 23rd European Signal Processing Conference, 2015

Inverse problems with time-frequency dictionaries and non-white Gaussian noise.
Proceedings of the 23rd European Signal Processing Conference, 2015

Calibration of One-Class SVM for MV set estimation.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
Blind Denoising with Random Greedy Pursuits.
IEEE Signal Process. Lett., 2014

Supramodal processing optimizes visual perceptual learning and plasticity.
NeuroImage, 2014

Encoding of event timing in the phase of neural oscillations.
NeuroImage, 2014

MNE software for processing MEG and EEG data.
NeuroImage, 2014

Denoising and fast diffusion imaging with physically constrained sparse dictionary learning.
Medical Image Anal., 2014

Machine learning for neuroimaging with scikit-learn.
Frontiers Neuroinformatics, 2014

Improved MEG/EEG source localization with reweighted mixed-norms.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Decoding perceptual thresholds from MEG/EEG.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2013
Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness.
NeuroImage, 2013

Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations.
NeuroImage, 2013

Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals
Proceedings of the 1st International Conference on Learning Representations, 2013

API design for machine learning software: experiences from the scikit-learn project.
CoRR, 2013

HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Identifying Predictive Regions from fMRI with TV-L1 Prior.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Non-negative Tensor Factorization for single-channel EEG artifact rejection.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Learning from M/EEG Data with Variable Brain Activation Delays.
Proceedings of the Information Processing in Medical Imaging, 2013

Non-negative matrix factorization for single-channel EEG artifact rejection.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity.
SIAM J. Imaging Sci., 2012

A supervised clustering approach for fMRI-based inference of brain states.
Pattern Recognit., 2012

Improved Brain Pattern Recovery through Ranking Approaches.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Decoding Visual Percepts Induced by Word Reading with fMRI.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Learning to Rank from Medical Imaging Data.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Sparse DSI: Learning DSI Structure for Denoising and Fast Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Total Variation Regularization for fMRI-Based Prediction of Behavior.
IEEE Trans. Medical Imaging, 2011

Tracking cortical activity from M/EEG using graph cuts with spatiotemporal constraints.
NeuroImage, 2011

Phase delays within visual cortex shape the response to steady-state visual stimulation.
NeuroImage, 2011

Scikit-learn: Machine Learning in Python.
J. Mach. Learn. Res., 2011

Total variation regularization for fMRI-based prediction of behaviour
CoRR, 2011

Forward Field Computation with OpenMEEG.
Comput. Intell. Neurosci., 2011

Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Multi-subject Dictionary Learning to Segment an Atlas of Brain Spontaneous Activity.
Proceedings of the Information Processing in Medical Imaging, 2011

Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
A priori par normes mixtes pour les problèmes inverses. Application à la localisation de sources en M/EEG.
Traitement du Signal, 2010

Graph-Based Variability Estimation in Single-Trial Event-Related Neural Responses.
IEEE Trans. Biomed. Eng., 2010

Brain covariance selection: better individual functional connectivity models using population prior.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

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).
PhD thesis, 2009

Improving M/EEG Source Localization with an Inter-Condition Sparse Prior.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009


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