Recent Publications

@article{appelhoff_mne-bids:2019,
 author = {Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M.},
 comment = {[Code]},
 doi = {10.21105/joss.01896},
 issn = {2475-9066},
 journal = {Journal of Open Source Software},
 language = {en},
 month = {December},
 number = {44},
 pages = {1896},
 shorttitle = {{MNE}-{BIDS}},
 title = {{MNE}-{BIDS}: {Organizing} electrophysiological data into
the {BIDS} format and facilitating their analysis},
 url = {https://joss.theoj.org/papers/10.21105/joss.01896},
 urldate = {2019-12-19},
 volume = {4},
 year = {2019}
}

@unpublished{sabbagh-etal:2019,
 author = {Sabbagh, D., Ablin, P., Varoquaux, G., Gramfort, A. and Engemann, D.},
 booktitle = {Advances in Neural Information Processing Systems 32},
 comment = {[Code]},
 editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
 pages = {7321--7332},
 publisher = {Curran Associates, Inc.},
 title = {Manifold-regression to predict from MEG/EEG brain signals without source modeling},
 url = {http://papers.nips.cc/paper/8952-manifold-regression-to-predict-from-megeeg-brain-signals-without-source-modeling.pdf},
 year = {2019}
}

@article{banville-etal:19,
 author = {Banville, H., Albuquerque, I., Moffat, G., Engemann, D. and Gramfort, A.},
 journal = {Proc. Machine Learning for Signal Processing (MLSP)},
 publisher = {IEEE SigPort},
 title = {Self-supervised representation learning from electroencephalography signals},
 url = {http://sigport.org/4866},
 year = {2019}
}

@unpublished{ablin:hal-02140383,
 author = {Ablin, P., Moreau, T., Massias, M. and Gramfort, A.},
 booktitle = {Advances in Neural Information Processing Systems 32},
 editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
 pages = {13100--13110},
 publisher = {Curran Associates, Inc.},
 title = {Learning step sizes for unfolded sparse coding},
 url = {http://papers.nips.cc/paper/9469-learning-step-sizes-for-unfolded-sparse-coding.pdf},
 year = {2019}
}

@unpublished{massias:hal-02263500,
 author = {Massias, M., Vaiter, S., Gramfort, A. and Salmon, J.},
 comment = {[Code]},
 hal_id = {hal-02263500},
 hal_version = {v1},
 month = {August},
 note = {working paper or preprint},
 pdf = {https://hal.archives-ouvertes.fr/hal-02263500/file/main.pdf},
 title = {{Dual Extrapolation for Sparse Generalized Linear Models}},
 url = {https://hal.archives-ouvertes.fr/hal-02263500},
 year = {2019}
}

@incollection{bertrand-etal:19,
 author = {Bertrand, Q., Massias, M., Gramfort, A. and Salmon, J.},
 booktitle = {Advances in Neural Information Processing Systems 32},
 editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
 pages = {3961--3972},
 publisher = {Curran Associates, Inc.},
 title = {Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso},
 url = {http://papers.nips.cc/paper/8651-handling-correlated-and-repeated-measurements-with-the-smoothed-multivariate-square-root-lasso.pdf},
 year = {2019}
}

@inproceedings{janati-etal:2019b,
 address = {Cham},
 author = {Janati, H., Bazeille, T., Thirion, B., Cuturi, M. and Gramfort, A.},
 booktitle = {Information Processing in Medical Imaging},
 editor = {Chung, Albert C. S.
and Gee, James C.
and Yushkevich, Paul A.
and Bao, Siqi},
 isbn = {978-3-030-20351-1},
 pages = {743--754},
 pdf = {https://arxiv.org/pdf/1902.04812.pdf},
 publisher = {Springer International Publishing},
 title = {Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates},
 year = {2019}
}

Full list of publications