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Pierre Ablin
Pierre Ablin
Apple Machine Learning Research
Verified email at apple.com - Homepage
Title
Cited by
Cited by
Year
Faster independent component analysis by preconditioning with Hessian approximations
P Ablin, JF Cardoso, A Gramfort
IEEE Transactions on Signal Processing 66 (15), 4040-4049, 2018
742018
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge
A Suinesiaputra, P Ablin, X Alba, M Alessandrini, J Allen, W Bai, S Cimen, ...
IEEE journal of biomedical and health informatics 22 (2), 503-515, 2017
642017
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states
D Sabbagh, P Ablin, G Varoquaux, A Gramfort, DA Engemann
NeuroImage 222, 116893, 2020
442020
Learning step sizes for unfolded sparse coding
P Ablin, T Moreau, M Massias, A Gramfort
Advances in Neural Information Processing Systems 32, 13100--13110, 2019
442019
Super-efficiency of automatic differentiation for functions defined as a minimum
P Ablin, G Peyré, T Moreau
International Conference on Machine Learning, 32-41, 2020
402020
Manifold-regression to predict from MEG/EEG brain signals without source modeling
D Sabbagh, P Ablin, G Varoquaux, A Gramfort, DA Engemann
Advances in Neural Information Processing Systems 32 32, 7323-7334, 2019
352019
Momentum residual neural networks
ME Sander, P Ablin, M Blondel, G Peyré
Proceedings of the 38th International Conference on Machine Learning 139, 2021
332021
Faster ICA under orthogonal constraint
P Ablin, JF Cardoso, A Gramfort
ICASSP, 2018
282018
Beyond Pham's algorithm for joint diagonalization
P Ablin, JF Cardoso, A Gramfort
27th European Symposium on Artificial Neural Networks, Computational …, 2019
192019
Modeling shared responses in neuroimaging studies through Multiview ICA
H Richard, L Gresele, A Hyvärinen, B Thirion, A Gramfort, P Ablin
Advances in Neural Information Processing Systems 33, 19149--19162, 2020
152020
Sinkformers: Transformers with doubly stochastic attention
ME Sander, P Ablin, M Blondel, G Peyré
International Conference on Artificial Intelligence and Statistics, 3515-3530, 2022
132022
Kernel Stein Discrepancy Descent
A Korba, PC Aubin-Frankowski, S Majewski, P Ablin
Proceedings of the 38th International Conference on Machine Learning 139, 2021
132021
Spectral independent component analysis with noise modeling for M/EEG source separation
P Ablin, JF Cardoso, A Gramfort
Journal of Neuroscience Methods 356, 109144, 2021
102021
mvlearn: Multiview machine learning in python
R Perry, G Mischler, R Guo, T Lee, A Chang, A Koul, C Franz, H Richard, ...
The Journal of Machine Learning Research 22 (1), 4938-4944, 2021
92021
Stochastic algorithms with descent guarantees for ICA
P Ablin, A Gramfort, JF Cardoso, F Bach
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
9*2019
Fast and accurate optimization on the orthogonal manifold without retraction
P Ablin, G Peyré
International Conference on Artificial Intelligence and Statistics, 5636-5657, 2022
82022
A quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning
P Ablin, D Fagot, H Wendt, A Gramfort, C Févotte
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
82019
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
M Dagréou, P Ablin, S Vaiter, T Moreau
Advances in Neural Information Processing Systems 35, 2022
52022
Accelerating likelihood optimization for ICA on real signals
P Ablin, JF Cardoso, A Gramfort
Latent Variable Analysis and Signal Separation: 14th International …, 2018
32018
Detecting Myocardial Infarction Using Medial Surfaces: LV Statistical Modelling Challenge: Myocardial Infarction
P Ablin, K Siddiqi
Statistical Atlases and Computational Models of the Heart. Imaging and …, 2016
32016
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