Publications Conference proceedings (29) Beyond Pham's algorithm for joint diagonalization Author(s): Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort Published in: ESSAN 2019 - 27th European symposium on artificial neural networks, 2019 Publisher: ESSAN Wasserstein regularization for sparse multi-task regression Author(s): Hicham Janati, Marco Cuturi, Alexandre Gramfort Published in: Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, 2019 Publisher: PMLR Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals Author(s): Tom Dupré la Tour, Thomas Moreau, Mainak Jas, Alexandre Gramfort Published in: Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018 Publisher: Curran Associates, Inc. Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression Author(s): Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Vincent Leclère, Joseph Salmon Published in: Journal of Physics: Conference Series, 2017 Publisher: IOP Publishing DOI: 10.1088/1742-6596/904/1/012006 Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso Author(s): Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon, Bertrand Thirion Published in: Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 Publisher: MIT Press Modeling Shared Responses in Neuroimaging Studies through MultiView ICA Author(s): Hugo Richard, Luigi Gresele, Aapo Hyvärinen, Bertrand Thirion, Alexandre Gramfort, Pierre Ablin Published in: Advances in Neural Information Processing Systems 33 (NeurIPS), 2020 Publisher: MIT Press Manifold-regression to predict from MEG/EEG brain signals without source modeling Author(s): David Sabbagh, Pierre Ablin, Gael Varoquaux, Alexandre Gramfort, Denis A. Engemann Published in: 2019 Publisher: Curran Associates, Inc. Stochastic algorithms with descent guarantees for ICA Author(s): Pierre Ablin, Alexandre Gramfort, Jean-François Cardoso, Francis Bach Published in: Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, 2019 Publisher: PMLR A Quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning Author(s): Pierre Ablin, Dylan Fagot, Herwig Wendt, Alexandre Gramfort, Cédric Févotte Published in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Publisher: IEEE DOI: 10.1109/icassp.2019.8683291 HNPE: Leveraging Global Parameters for Neural Posterior Estimation Author(s): Pedro L. C. Rodrigues, Thomas Moreau, Gilles Louppe, Alexandre Gramfort Published in: Advances in Neural Information Processing Systems 34 (NeurIPS), 2021 Publisher: MIT Press Learning step sizes for unfolded sparse coding Author(s): Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort Published in: Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019 Publisher: Curran Associates, Inc. Implicit differentiation of Lasso-type models for hyperparameter optimization Author(s): Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon Published in: Proceedings of the 37th International Conference on Machine Learning, 2020 Publisher: PMLR Support recovery and sup-norm convergence rates for sparse pivotal estimation Author(s): Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon Published in: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, 2020 Publisher: PMLR Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates Author(s): Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort Published in: IPMI 2019 - 26th international conference on Information Processing in Medical Imaging, 2021 Publisher: Lecture Notes in Computer Science Faster ICA Under Orthogonal Constraint Author(s): Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort Published in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 Publisher: IEEE DOI: 10.1109/icassp.2018.8461662 Hyperparameter Estimation in Maximum a Posteriori Regression Using Group Sparsity with an Application to Brain Imaging Author(s): Badeau, Roland; Bekhti, Yousra; Gramfort, Alexandre Published in: 25th European Signal Processing Conference (EUSIPCO), Issue 5, 2017, ISSN 2076-1465 Publisher: IEEE DOI: 10.5281/zenodo.1159734 Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding Author(s): Mainak Jas, Tom Dupré la Tour, Umut Simsekli, Alexandre Gramfort Published in: Advances in Neural Information Processing Systems 30, 2017, Page(s) 1099--1108 Publisher: Curran Associates, Inc. Parametric estimation of spectrum driven by an exogenous signal Author(s): Tom Dupre la Tour, Yves Grenier, Alexandre Gramfort Published in: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, Page(s) 4301-4305, ISBN 978-1-5090-4117-6 Publisher: IEEE DOI: 10.1109/ICASSP.2017.7952968 Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression Author(s): Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon Published in: Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, 2018, Page(s) 998--1007 Publisher: PMLR Celer: a Fast Solver for the Lasso with Dual Extrapolation Author(s): Mathurin Massias, Alexandre Gramfort, Joseph Salmon Published in: Proceedings of the 35th International Conference on Machine Learning, 2018, Page(s) 3315--3324 Publisher: PMLR Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression Author(s): Massias , Mathurin; Fercoq , Olivier; Gramfort , Alexandre; Salmon , Joseph Published in: 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Apr 2018, Lanzarote, Spain, Issue 5, 2018 Publisher: AISTATS Driver Estimation in Non-Linear Autoregressive Models Author(s): Tom Duprela Tour, Yves Grenier, Alexandre Gramfort Published in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Page(s) 4519-4523, ISBN 978-1-5386-4658-8 Publisher: IEEE DOI: 10.1109/ICASSP.2018.8462268 Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals Author(s): La Tour , Tom Dupré; Moreau , Thomas; Jas , Mainak; Gramfort , Alexandre Published in: Advances in Neural Information Processing Systems (NeurIPS), Dec 2018, Montréal, Canada, Issue 3, 2018 Publisher: Curran Associates, Inc. GAP Safe Screening Rules for Sparse-Group Lasso Author(s): Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon Published in: Advances in Neural Information Processing Systems 29, 2016, Page(s) 388--396 Publisher: Curran Associates, Inc. Caveats with stochastic gradient and maximum likelihood based ICA for EEG Author(s): Jair Montoya-Martínez, Jean-François Cardoso, Alexandre Gramfort Published in: 2017, Page(s) 279-289 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-53547-0_27 Debiased Sinkhorn barycenters Author(s): Hicham Janati, Marco Cuturi, Alexandre Gramfort Published in: Proceedings of the 37th International Conference on Machine Learning, 2020 Publisher: PMLR Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso Author(s): Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon Published in: Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019 Publisher: Curran Associates, Inc. Spatio-Temporal Alignments: Optimal transport through space and time Author(s): Hicham Janati, Marco Cuturi, Alexandre Gramfort Published in: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, 2020 Publisher: PMLR Shared Independent Component Analysis for Multi-Subject Neuroimaging Author(s): Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvärinen Published in: Advances in Neural Information Processing Systems 34 (NeurIPS), 2020 Publisher: MIT Press Peer reviewed articles (14) DiCoDiLe: Distributed Convolutional Dictionary Learning Author(s): Thomas Moreau, Alexandre Gramfort Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, ISSN 1939-3539 Publisher: IEEE DOI: 10.1109/tpami.2020.3039215 Spectral Independent Component Analysis with noise modeling for M/EEG source separation Author(s): Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort Published in: Journal of Neuroscience Methods, 2021, ISSN 0165-0270 Publisher: Elsevier BV DOI: 10.1016/j.jneumeth.2021.109144 MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis Author(s): Appelhoff, Stefan and Sanderson, Matthew and Brooks, Teon and Vliet, Marijn van and Quentin, Romain and Holdgraf, Chris and Chaumon, Maximilien and Mikulan, Ezequiel and Tavabi, Kambiz and Höchenberger, Richard and Welke, Dominik and Brunner, Clemens and Rockhill, Alexander and Larson, Eric and Gramfort, Alexandre and Jas, Mainak Published in: Journal of Open Source Software, 2019, ISSN 2475-9066 Publisher: The Open Journal DOI: 10.21105/joss.01896 Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers Author(s): Denis A Engemann, Oleh Kozynets, David Sabbagh, Guillaume Lemaître, Gael Varoquaux, Franziskus Liem, Alexandre Gramfort Published in: eLife, 2019, ISSN 2050-084X Publisher: eLife Sciences Publications DOI: 10.7554/elife.54055 A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging Author(s): Yousra Bekhti, Felix Lucka, Joseph Salmon, Alexandre Gramfort Published in: Inverse Problems, Issue 34/8, 2018, Page(s) 085010, ISSN 0266-5611 Publisher: Institute of Physics Publishing DOI: 10.1088/1361-6420/aac9b3 Gap Safe screening rules for sparsity enforcing penalties Author(s): Ndiaye, Eugene; Fercoq, Olivier; Gramfort, Alexandre; Salmon, Joseph Published in: Journal of Machine Learning Research, Issue 5, 2017, ISSN 1532-4435 Publisher: MIT Press Non-linear auto-regressive models for cross-frequency coupling in neural time series Author(s): Tom Dupré la Tour, Lucille Tallot, Laetitia Grabot, Valérie Doyère, Virginie van Wassenhove, Yves Grenier, Alexandre Gramfort Published in: PLOS Computational Biology, Issue 13/12, 2017, Page(s) e1005893, ISSN 1553-7358 Publisher: PLOS Computational Biology DOI: 10.1371/journal.pcbi.1005893 MEG-BIDS, the brain imaging data structure extended to magnetoencephalography Author(s): Guiomar Niso, Krzysztof J. Gorgolewski, Elizabeth Bock, Teon L. Brooks, Guillaume Flandin, Alexandre Gramfort, Richard N. Henson, Mainak Jas, Vladimir Litvak, Jeremy T. Moreau, Robert Oostenveld, Jan-Mathijs Schoffelen, Francois Tadel, Joseph Wexler, Sylvain Baillet Published in: Scientific Data, Issue 5, 2018, Page(s) 180110, ISSN 2052-4463 Publisher: Springer Nature DOI: 10.1038/sdata.2018.110 Faster Independent Component Analysis by Preconditioning With Hessian Approximations Author(s): Pierre Ablin, Jean-Francois Cardoso, Alexandre Gramfort Published in: IEEE Transactions on Signal Processing, Issue 66/15, 2018, Page(s) 4040-4049, ISSN 1053-587X Publisher: Institute of Electrical and Electronics Engineers DOI: 10.1109/TSP.2018.2844203 Autoreject: Automated artifact rejection for MEG and EEG data Author(s): Mainak Jas, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort Published in: NeuroImage, Issue 159, 2017, Page(s) 417-429, ISSN 1053-8119 Publisher: Academic Press DOI: 10.1016/j.neuroimage.2017.06.030 A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices Author(s): Mainak Jas, Eric Larson, Denis A. Engemann, Jaakko Leppäkangas, Samu Taulu, Matti Hämäläinen, Alexandre Gramfort Published in: Frontiers in Neuroscience, Issue 12, 2018, ISSN 1662-453X Publisher: Frontiers DOI: 10.3389/fnins.2018.00530 MEG-BIDS, the brain imaging data structure extended to magnetoencephalography Author(s): Niso, G.; Gorgolewski, K. J.; Bock, E.; Brooks, T. L.; Flandin, G.; Gramfort, A.; Henson, R. N.; Jas, M.; Litvak, V.; T Moreau, J.; Oostenveld, R.; Schoffelen, J-M; Tadel, F.; Wexler, J.; Baillet, S. Published in: Scientific Data , 5 , Article 180110. (2018), Issue 1, 2018, ISSN 2052-4463 Publisher: Nature DOI: 10.17863/CAM.30375 Multi-subject MEG/EEG source imaging with sparse multi-task regression Author(s): Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort Published in: NeuroImage, 2020, ISSN 1053-8119 Publisher: Academic Press DOI: 10.1016/j.neuroimage.2020.116847 Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states Author(s): David Sabbagh, Pierre Ablin, Gael Varoquaux, Alexandre Gramfort, Denis A Engemann Published in: NeuroImage, 2020, ISSN 1053-8119 Publisher: Academic Press DOI: 10.1016/j.neuroimage.2020.116893 Other (1) From safe screening rules to working sets for faster Lasso-type solvers Author(s): Mathurin Massias, Alexandre Gramfort, Joseph Salmon Published in: Workshop NIPS OPTML, 2017 Publisher: Arxiv Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
