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