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!
Big colloquium at Collège de France on April 23, 2019, co-organized by B.Thirion, will feature P. Ciuciu and O.Grisel. Here is more information:
High-performance Simulation for the design of compressed sensing trajectories in high resolution functional neuroimaging at 7 and 11.7 Tesla.
On Monday April 1st, Alexandre Gramfort gives at Talk on Optimization and machine learning for neuroimaging. Here are the slides
Full schedule of the workshop is here.
Parietal members organize a Software Carpentry workshop at Alan Turing (Inria saclay). Do not forget to register.
Publicly available now the presentation of Pol del Aguila Pla at the Parietal Team meeting on his work about “Cell detection by functional inverse diffusion and non-negative group sparsity”: https://poldap.github.io/data/talks/cell_det_by_fid_and_nneg-gs.pdf
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.”
Great presentation by G. Lemaitre at the funconnect meeting at Neurospin: How large cohorts (~2500 people) boosts prediction accuracy.