Recent Publications

@inproceedings{ndiaye-etal:16b,
 author = {Ndiaye, E., Fercoq, O., Gramfort, A. and Salmon, J.},
 booktitle = {Proc. NIPS 2016},
 pdf = {http://arxiv.org/pdf/1602.06225v1.pdf},
 title = {{GAP} Safe Screening Rules for {Sparse-Group Lasso}},
 year = {2016}
}

@techreport{ndiaye-etal:16a,
 author = {Ndiaye, E., Fercoq, O., Gramfort, A., Leclère, V. and Salmon, J.},
 link = {https://arxiv.org/abs/1606.02702},
 pdf = {https://arxiv.org/pdf/1606.02702v1.pdf},
 title = {Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression},
 year = {2016}
}

@inproceedings{jas-etal:16,
 address = {Trento, Italy},
 author = {Jas, M., Engemann, D., Raimondo, F., Bekhti, Y. and Gramfort, A.},
 booktitle = {6th International Workshop on Pattern Recognition in Neuroimaging (PRNI)},
 hal_id = {hal-01313458},
 hal_version = {v1},
 keyword = {magnetoencephalography ; electroencephalography ; preprocessing ; artifact rejection ; automation ; machine learning},
 link = {https://hal.archives-ouvertes.fr/hal-01313458},
 month = {Jun},
 pdf = {https://hal.archives-ouvertes.fr/hal-01313458/file/automated-rejection-repair.pdf},
 title = {Automated rejection and repair of bad trials in MEG/EEG},
 year = {2016}
}

@inproceedings{bekhti-etal:16,
 address = {Trento, Italy},
 author = {Bekhti, Y., Strohmeier, D., Jas, M., Badeau, R. and Gramfort, A.},
 booktitle = {6th International Workshop on Pattern Recognition in Neuroimaging (PRNI)},
 doi = {10.1109/PRNI.2016.7552337},
 hal_id = {hal-01313567},
 hal_version = {v2},
 keyword = {Inverse problem ;  MEEG ;  iterative reweighted optimization algorithm ;  multi-scale dictionary ;  Gabor transform.},
 link = {https://hal.archives-ouvertes.fr/hal-01313567},
 month = {Jun},
 pdf = {https://hal.archives-ouvertes.fr/hal-01313567/file/PRNI16_multiscale.pdf},
 title = {M/EEG source localization with multi-scale time-frequency dictionaries},
 year = {2016}
}

@article{eickenberg-etal:16,
 author = {Eickenberg, M., Gramfort, A., Varoquaux, G. and Thirion, B.},
 doi = {http://dx.doi.org/10.1016/j.neuroimage.2016.10.001},
 issn = {1053-8119},
 journal = {NeuroImage},
 link = {http://www.sciencedirect.com/science/article/pii/S1053811916305481},
 note = {},
 number = {},
 pages = {-},
 pdf = {https://hal.inria.fr/hal-01389809/file/neuroimage.pdf},
 title = {Seeing it all: Convolutional network layers map the function of the human visual system},
 volume = {},
 year = {2016}
}

@article{strohmeier-etal:16,
 author = {Strohmeier, D., Bekhti, Y., Haueisen, J. and Gramfort, A.},
 doi = {10.1109/TMI.2016.2553445},
 issn = {0278-0062},
 journal = {IEEE Transactions on Medical Imaging},
 link = {http://ieeexplore.ieee.org/document/7452415/},
 month = {Oct},
 number = {10},
 pages = {2218-2228},
 pdf = {https://arxiv.org/pdf/1607.08458.pdf},
 title = {The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction},
 volume = {35},
 year = {2016}
}

@unpublished{laby:hal-01167391,
 author = {Laby, R., Gramfort, A., Roueff, F., Enderli, C. and Larroque, A.},
 hal_id = {hal-01167391},
 hal_version = {v1},
 link = {https://hal-institut-mines-telecom.archives-ouvertes.fr/hal-01167391},
 month = {Jun},
 pdf = {https://hal-institut-mines-telecom.archives-ouvertes.fr/hal-01167391/file/version_hal.pdf},
 title = {Sparse pairwise Markov model learning for anomaly detection in heterogeneous data},
 year = {2015}
}

Full list of publications

Short Bio

I'm currently assistant professor at Telecom ParisTech and scientific consultant for the CEA Neurospin brain imaging center. My work is on statistical machine learning, signal and image processing, optimization, scientific computing and software engineering with primary applications in brain functional imaging (MEG, EEG, fMRI). Before joining Telecom ParisTech, I worked at the Martinos Center for Biomedical Imaging at Harvard in Boston, and for five years at INRIA in the Parietal Project Team and the Athena Project Team. I am also an active member of the Center for Data Science at Université Paris-Saclay.

Contact

Email: alexandre.gramfort@telecom-paristech.fr

Address: 46, rue Barrault, 75013 Paris

Software

  • scikit-learn - A Python project for machine learning.
  • openmeeg - C++ package for low-frequency bio-electromagnetism including the EEG/MEG forward problem. OpenMEEG implements the Symmetric BEM which has shown to provide very accurate solutions. Some features: parallel processing, Python Bindings, Matlab integration with Fieldtrip and BrainStorm.
  • MNE - A complete package to process EEG and MEG data: forward and inverse problems (MNE, dSPM, MxNE), stats, time-frequency analysis.

More on my Github Page

Team

Engineers

PhD Students

Alumni

Positions

  • Engineer to work on scikit-learn
  • Engineer to work on MNE
  • Post-doc positions on machine learning and signal processing with applications in neuroimaging (MEG, EEG)

This list is fuzzy so please contact me directly for potential opportunities.

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