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Pierre Ablin
Pierre Ablin
Apple Machine Learning Research
Dirección de correo verificada de apple.com - Página principal
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Año
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
2002018
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
1072022
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
972017
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
912020
Sinkformers: Transformers with doubly stochastic attention
ME Sander, P Ablin, M Blondel, G Peyré
International Conference on Artificial Intelligence and Statistics, 3515-3530, 2022
872022
Momentum residual neural networks
ME Sander, P Ablin, M Blondel, G Peyré
Proceedings of the 38th International Conference on Machine Learning 139, 2021
742021
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
692019
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
692019
Faster ICA under orthogonal constraint
P Ablin, JF Cardoso, A Gramfort
ICASSP, 2018
632018
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
582020
Kernel Stein Discrepancy Descent
A Korba, PC Aubin-Frankowski, S Majewski, P Ablin
Proceedings of the 38th International Conference on Machine Learning 139, 2021
542021
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
T Moreau, M Massias, A Gramfort, P Ablin, PABB Charlier, M Dagréou, ...
Advances in Neural Information Processing Systems 35, 2022
452022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
ME Sander, P Ablin, G Peyré
Advances in Neural Information Processing Systems 35, 2022
362022
mvlearn: Multiview machine learning in python
R Perry, G Mischler, R Guo, T Lee, A Chang, A Koul, C Franz, H Richard, ...
Journal of Machine Learning Research 22 (109), 1-7, 2021
332021
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
332020
Fast and accurate optimization on the orthogonal manifold without retraction
P Ablin, G Peyré
International Conference on Artificial Intelligence and Statistics, 5636-5657, 2022
322022
Beyond Pham's algorithm for joint diagonalization
P Ablin, JF Cardoso, A Gramfort
27th European Symposium on Artificial Neural Networks, Computational …, 2019
212019
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
192021
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
M Cuturi, M Klein, P Ablin
Proceedings of the 40th International Conference on Machine Learning, 2023
182023
How to compute Hessian-vector products?
M Dagréou, P Ablin, S Vaiter, T Moreau
172024
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Artículos 1–20