Publications


D.Sabbagh, P. Ablin, G.Varoquaux, A. Gramfort and D.A. Engemann. Manifold regression to predict from M/EEG signals without source model. Preprint. https://hal.archives-ouvertes.fr/hal-02147708


P. Ablin, T.Moreau, M.Massias and A. Gramfort. Learning step sizes for unfolded sparse coding. Preprint. https://arxiv.org/abs/1905.11071


P. Ablin, J.F. Cardoso and A. Gramfort. Beyond Pham’s algorithm for joint diagonalization. ESANN 2019. https://hal.archives-ouvertes.fr/hal-01936887v1

Best student paper award


P. Ablin, D. Fagot, H. Wendt, A. Gramfort and C. Févotte. A Quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning. ICASSP 2019.   https://hal.archives-ouvertes.fr/hal-01912918/document


P. Ablin, A. Gramfort, J.F. Cardoso and F. Bach.  Stochastic algorithms with desent guarantees for ICA.

AISTATS 2019.  http://proceedings.mlr.press/v89/ablin19a.html


P. Ablin, J.F. Cardoso and A. Gramfort. Accelerating Likelihood Optimization for ICA on Real Signals. LVA-ICA ’18. https://arxiv.org/abs/1806.09390

Best student paper award


P. Ablin, J.F. Cardoso and A. Gramfort.  Faster ICA under orthogonal constraint.    ICASSP’18. https://hal.inria.fr/hal-01651842/document


P. Ablin, J.F. Cardoso and A. Gramfort.  Faster independent component analysis by preconditioning with Hessian approximations.  Accepted for publication in IEEE-Transactions on Signal Processing (2017).   https://arxiv.org/abs/1706.08171


P. Ablin and K. Siddiqi. Detecting Myocardial Infarction Using Medial Surfaces. International Workshop on Statistical Atlases and Computational Models of the Heart (2015).