Pierre-Alexandre Mattei
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
4
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | RecSys | Normative Alignment of Recommender Systems via Internal Label Shift. | Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Ryotaro Shimizu, Julian J. McAuley, Pierre-Alexandre Mattei, Jes Frellsen |
| 2023 | ICLR | Don't fear the unlabelled: safe semi-supervised learning via debiasing. | Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei |
| 2023 | ICML | Explainability as statistical inference. | Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei |
| 2023 | ICML | Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. | Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei |
| 2022 | AISTATS | Model-agnostic out-of-distribution detection using combined statistical tests. | Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sntaire, Hugo Schmutz, Lars Maale, Sren Hauberg, Jes Frellsen |
| 2022 | ICLR | How to deal with missing data in supervised deep learning? | Niels Bruun Ipsen, Pierre-Alexandre Mattei, Jes Frellsen |
| 2021 | ICLR | not-MIWAE: Deep Generative Modelling with Missing not at Random Data. | Niels Bruun Ipsen, Pierre-Alexandre Mattei, Jes Frellsen |
| 2019 | ICML | MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets. | Pierre-Alexandre Mattei, Jes Frellsen |
| 2019 | ICML | Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation. | Samuel Wiqvist, Pierre-Alexandre Mattei, Umberto Picchini, Jes Frellsen |
| 2016 | AISTATS | Globally Sparse Probabilistic PCA. | Pierre-Alexandre Mattei, Charles Bouveyron, Pierre Latouche |