4 papers accepted for NeurIPS 2019

We are pleased to share the good news that four papers out of four submissions from our team have been accepted for NeurIPS 2019 (alphab. order):

1) Pierre Ablin, T. Moreau, M. Massias & A. Gramfort: “Learning step sizes for unfolded sparse coding” https://arxiv.org/abs/1905.11071

2) Quentin Bertrand, M. Messias, A. Gramfort and J. Salmon: “Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise” https://arxiv.org/abs/1902.02509

3) David Sabbagh, P. Ablin, G. Varoquaux, A. Gramfort and D. Engemann: “Manifold-regression to predict from MEG/EEG brain signals without source modeling” https://arxiv.org/abs/1906.02687

4) Meyer Scetbon & G. Varoquaux A: “Comparing distributions: l1 geometry improves kernel two-sample testing” (selected as spotlight).

See you in Vancouver!

New PhD position available

High-performance Simulation for the design of compressed sensing trajectories in high resolution functional neuroimaging at 7 and 11.7 Tesla.

See https://team.inria.fr/parietal/files/2019/04/PhDThesis_4D-fMRI_SPARKLING.pdf

Recent advances in acquisition and reconstruction for Compressed Sensing MRI

The syllabus is available here:https://biomedicalimaging.org/2019/tutorials/
For the acquisition part of the tutorial, the code and slides are available here:

For the reconstruction part, the slides are here:

the Julia code is available:

and the demo notebooks are in this repo:

Congratulations Carole !

Carole is among Young Investigator Award finalists in this year’s competition for the I. I. Rabi Award in basic science at ISMRM 2019, for her work entitled “SPARKLING: variable-density k-space filling curves for accelerated MRI.”