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Pierre-Alexandre Mattei

MAASAI, UCA,3iA Côte d'Azur

Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models


Apr 17, 2023
Irene Balelli, Aude Sportisse, Francesco Cremonesi, Pierre-Alexandre Mattei, Marco Lorenzi

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Are labels informative in semi-supervised learning? -- Estimating and leveraging the missing-data mechanism


Feb 15, 2023
Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei

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Sparse GEMINI for Joint Discriminative Clustering and Feature Selection


Feb 07, 2023
Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso

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Explainability as statistical inference


Dec 06, 2022
Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei

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* 10 pages, 22 figures, submitted at ICLR 2023 

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Generalised Mutual Information for Discriminative Clustering


Oct 14, 2022
Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frederic Precioso

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* To be published in Neural Information Processing Systems 2022 

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A Multi-stage deep architecture for summary generation of soccer videos


May 02, 2022
Melissa Sanabria, Frédéric Precioso, Pierre-Alexandre Mattei, Thomas Menguy

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Don't fear the unlabelled: safe deep semi-supervised learning via simple debiasing


Mar 16, 2022
Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei

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Model-agnostic out-of-distribution detection using combined statistical tests


Mar 02, 2022
Federico Bergamin, Pierre-Alexandre Mattei, Jakob D. Havtorn, Hugo Senetaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen

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* Accepted at the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 

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Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives


Jan 26, 2022
Pierre-Alexandre Mattei, Jes Frellsen

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Tensor decomposition for learning Gaussian mixtures from moments


Jun 01, 2021
Rima Khouja, Pierre-Alexandre Mattei, Bernard Mourrain

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