Alexandre Gramfort

Author Info

Name	Affiliation	Papers
ALEXANDRE GRAMFORT	INRIA, Saclay, France and LNAO, NeuroSpin, CEA Saclay, Gif-sur-Yvette, cedex France	100
Collaborators	Citations	PageRank
188	4791	234.87
Referers	Referees	References
15025	2035	984

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Publications (100 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals	0	0.34	2022
A reusable benchmark of brain-age prediction from M/EEG resting-state signals	0	0.34	2022
DiCoDiLe: Distributed Convolutional Dictionary Learning	0	0.34	2022
Robust learning from corrupted EEG with dynamic spatial filtering	0	0.34	2022
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals	0	0.34	2022
The optimal noise in noise-contrastive learning is not what you think.	0	0.34	2022
Learning with self-supervision on EEG data	0	0.34	2021
Disentangling Syntax And Semantics In The Brain With Deep Networks	0	0.34	2021
Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects.	0	0.34	2021
Shared Independent Component Analysis for Multi-Subject Neuroimaging.	0	0.34	2021
Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference	0	0.34	2021
Multi-subject MEG/EEG source imaging with sparse multi-task regression	2	0.37	2020
Modeling Shared Responses in Neuroimaging Studies through MultiView ICA	0	0.34	2020
Implicit differentiation of Lasso-type models for hyperparameter optimization	0	0.34	2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso	0	0.34	2020
Debiased Sinkhorn barycenters	0	0.34	2020
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states	4	0.42	2020
Manifold-regression to predict from MEG/EEG brain signals without source modeling.	0	0.34	2019
Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise.	0	0.34	2019
Group Level Meg/Eeg Source Imaging Via Optimal Transport: Minimum Wasserstein Estimates	0	0.34	2019
Deep learning-based electroencephalography analysis: a systematic review.	24	0.85	2019
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals.	0	0.34	2019
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso	0	0.34	2019
Learning step sizes for unfolded sparse coding.	1	0.34	2019
Beyond Pham's algorithm for joint diagonalization.	0	0.34	2018
A Quasi-Newton Algorithm On The Orthogonal Manifold For Nmf With Transform Learning	0	0.34	2018
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal.	3	0.39	2018
EM algorithms for ICA.	0	0.34	2018
Domain adaptation with optimal transport improves EEG sleep stage classifiers	0	0.34	2018
Accelerating Likelihood Optimization for ICA on Real Signals.	0	0.34	2018
A Deep Learning Architecture to Detect Events in EEG Signals During Sleep	1	0.37	2018
Faster Independent Component Analysis by Preconditioning With Hessian Approximations.	4	0.47	2018
Celer: a Fast Solver for the Lasso with Dual Extrapolation.	0	0.34	2018
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals.	0	0.34	2018
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series.	35	1.49	2017
From safe screening rules to working sets for faster Lasso-type solvers.	1	0.36	2017
Non-linear auto-regressive models for cross-frequency coupling in neural time series.	2	0.41	2017
Convolutional Network Layers Map the Function of the Human Visual Cortex.	0	0.34	2017
Hyperparameter estimation in maximum a posteriori regression using group sparsity with an application to brain imaging.	0	0.34	2017
Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy.	0	0.34	2017
Autoreject: Automated artifact rejection for MEG and EEG data.	15	0.77	2017
Seeing it all: Convolutional network layers map the function of the human visual system.	23	1.24	2017
Gap Safe screening rules for sparsity enforcing penalties.	0	0.34	2017
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding.	1	0.36	2017
Caveats with Stochastic Gradient and Maximum Likelihood Based ICA for EEG.	0	0.34	2017
GAP Safe Screening Rules for Sparse-Group-Lasso.	4	0.43	2016
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression	3	0.45	2016
The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction.	2	0.37	2016
Calibration of One-Class SVM for MV set estimation	2	0.40	2015
Mind the Noise Covariance When Localizing Brain Sources with M/EEG	0	0.34	2015

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