Pierre-Alexandre Mattei

42 papers A* 9A 3Journal 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Tutorial on Discriminative Clustering and Mutual Information. ACM Comput. Surv. Louis Ohl, Pierre-Alexandre Mattei, Frédéric Precioso
2026	J	`jnl`	Beyond Mixtures and Products for Ensemble Aggregation: A Likelihood Perspective on Generalized Means. CoRR Raphaël Razafindralambo, Rémy Sun, Frédéric Precioso, Damien Garreau, Pierre-Alexandre Mattei
2026	J	`jnl`	Learning Energy-Based Models by Self-Normalising the Likelihood. Trans. Mach. Learn. Res. Hugo Henri Joseph Senetaire, Paul Jeha, Jes Frellsen, Pierre-Alexandre Mattei
2026	J	`jnl`	Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles. Stat. Comput. Tom Szwagier, Pierre-Alexandre Mattei, Charles Bouveyron, Xavier Pennec
2026	J	`jnl`	The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling. CoRR Pierre-Alexandre Mattei, Bruno Loureiro
2026	J	`jnl`	When Are Two Scores Better Than One? Investigating Ensembles of Diffusion Models. CoRR Raphaël Razafindralambo, Rémy Sun, Frédéric Precioso, Damien Garreau, Pierre-Alexandre Mattei
2026	J	`jnl`	When Are Two Scores Better Than One? Investigating Ensembles of Diffusion Models. Trans. Mach. Learn. Res. Raphaël Razafindralambo, Rémy Sun, Damien Garreau, Frédéric Precioso, Pierre-Alexandre Mattei
2025	J	`jnl`	A Tutorial on Discriminative Clustering and Mutual Information. CoRR Louis Ohl, Pierre-Alexandre Mattei, Frédéric Precioso
2025	J	`jnl`	Are Ensembles Getting Better All the Time? J. Mach. Learn. Res. Pierre-Alexandre Mattei, Damien Garreau
2025	J	`jnl`	Learning Energy-Based Models by Self-normalising the Likelihood. CoRR Hugo Senetaire, Paul Jeha, Pierre-Alexandre Mattei, Jes Frellsen
2025	A	`conf`	Normative Alignment of Recommender Systems via Internal Label Shift. RecSys Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Ryotaro Shimizu, Julian J. McAuley, Pierre-Alexandre Mattei, Jes Frellsen
2025	J	`jnl`	Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles. CoRR Tom Szwagier, Pierre-Alexandre Mattei, Charles Bouveyron, Xavier Pennec
2024	J	`jnl`	Kernel KMeans clustering splits for end-to-end unsupervised decision trees. CoRR Louis Ohl, Pierre-Alexandre Mattei, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
2024	J	`jnl`	Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection. Stat. Comput. Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
2023	J	`jnl`	Are ensembles getting better all the time? CoRR Pierre-Alexandre Mattei, Damien Garreau
2023	A*	`conf`	Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei
2023	A*	`conf`	Don't fear the unlabelled: safe semi-supervised learning via debiasing. ICLR Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei
2023	A*	`conf`	Explainability as statistical inference. ICML Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei
2023	J	`jnl`	Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models. CoRR Irene Balelli, Aude Sportisse, Francesco Cremonesi, Pierre-Alexandre Mattei, Marco Lorenzi
2023	J	`jnl`	Generalised Mutual Information: a Framework for Discriminative Clustering. CoRR Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
2023	J	`jnl`	Sparse GEMINI for Joint Discriminative Clustering and Feature Selection. CoRR Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
2022	J	`jnl`	A Multi-stage deep architecture for summary generation of soccer videos. CoRR Melissa Sanabria, Frédéric Precioso, Pierre-Alexandre Mattei, Thomas Menguy
2022	J	`jnl`	Don't fear the unlabelled: safe deep semi-supervised learning via simple debiasing. CoRR Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei
2022	J	`jnl`	Explainability as statistical inference. CoRR Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei
2022	A*	`conf`	Generalised Mutual Information for Discriminative Clustering. NeurIPS Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
2022	J	`jnl`	Generalised Mutual Information for Discriminative Clustering. CoRR Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
2022	A*	`conf`	How to deal with missing data in supervised deep learning? ICLR Niels Bruun Ipsen, Pierre-Alexandre Mattei, Jes Frellsen
2022	A	`conf`	Model-agnostic out-of-distribution detection using combined statistical tests. AISTATS Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen
2022	J	`jnl`	Model-agnostic out-of-distribution detection using combined statistical tests. CoRR Federico Bergamin, Pierre-Alexandre Mattei, Jakob D. Havtorn, Hugo Senetaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen
2022	J	`jnl`	Tensor decomposition for learning Gaussian mixtures from moments. J. Symb. Comput. Rima Khouja, Pierre-Alexandre Mattei, Bernard Mourrain
2022	J	`jnl`	Unobserved classes and extra variables in high-dimensional discriminant analysis. Adv. Data Anal. Classif. Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, Thomas Brendan Murphy
2022	J	`jnl`	Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives. CoRR Pierre-Alexandre Mattei, Jes Frellsen
2021	A*	`conf`	not-MIWAE: Deep Generative Modelling with Missing not at Random Data. ICLR Niels Bruun Ipsen, Pierre-Alexandre Mattei, Jes Frellsen
2020	J	`jnl`	not-MIWAE: Deep Generative Modelling with Missing not at Random Data. CoRR Niels Bruun Ipsen, Pierre-Alexandre Mattei, Jes Frellsen
2019	A*	`conf`	MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets. ICML Pierre-Alexandre Mattei, Jes Frellsen
2019	A*	`conf`	Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation. ICML Samuel Wiqvist, Pierre-Alexandre Mattei, Umberto Picchini, Jes Frellsen
2019	J	`jnl`	Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation. CoRR Samuel Wiqvist, Pierre-Alexandre Mattei, Umberto Picchini, Jes Frellsen
2018	A*	`conf`	Leveraging the Exact Likelihood of Deep Latent Variable Models. NeurIPS Pierre-Alexandre Mattei, Jes Frellsen
2018	J	`jnl`	Leveraging the Exact Likelihood of Deep Latent Variable Models. CoRR Pierre-Alexandre Mattei, Jes Frellsen
2018	J	`jnl`	missIWAE: Deep Generative Modelling and Imputation of Incomplete Data. CoRR Pierre-Alexandre Mattei, Jes Frellsen
2016	J	`jnl`	Combining a relaxed EM algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression. J. Multivar. Anal. Pierre Latouche, Pierre-Alexandre Mattei, Charles Bouveyron, Julien Chiquet
2016	A	`conf`	Globally Sparse Probabilistic PCA. AISTATS Pierre-Alexandre Mattei, Charles Bouveyron, Pierre Latouche