Recherche - Archive ouverte HAL Accéder directement au contenu

Filtrer vos résultats

23 résultats
Page :
triés par

not-MIWAE: Deep Generative Modelling with Missing not at Random Data

 Niels Bruun Ipsen , Pierre-Alexandre Mattei , Jes Frellsen
ICLR 2021 - International Conference on Learning Representations, May 2021, Virtual, Austria
Communication dans un congrès hal-03044124v1

Explainability as statistical inference

 Hugo Henri Joseph Senetaire , Damien Garreau , Jes Frellsen , Pierre-Alexandre Mattei
International Conference on Machine Learning (ICML), 2023, Hawaii, United States
Communication dans un congrès hal-03888528v1
Image document

Combining a Relaxed EM Algorithm with Occam's Razor for Bayesian Variable Selection in High-Dimensional Regression

 Pierre Latouche , Pierre-Alexandre Mattei , Charles Bouveyron , Julien Chiquet
Journal of Multivariate Analysis, 2015, 146, pp.177-190. ⟨10.1016/j.jmva.2015.09.004⟩
Article dans une revue hal-01003395v2
Image document

Negative Dependence Tightens Variational Bounds

 Pierre-Alexandre Mattei , Jes Frellsen
ICML 2020 - 2nd Workshop on Negative Dependence and Submodularity for ML, Jul 2020, Vienne / Online, Austria
Communication dans un congrès hal-03044115v1

Kernel KMeans clustering splits for end-to-end unsupervised decision trees

 Louis Ohl , Pierre-Alexandre Mattei , Mickaël Leclercq , Arnaud Droit , Frédéric Precioso
2024
Pré-publication, Document de travail hal-04504344v1

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

 Melissa Sanabria , Thomas Menguy , Frédéric Precioso , Pierre-Alexandre Mattei
2022
Pré-publication, Document de travail hal-03662328v1
Image document

Introduction à l'intelligence artificielle et aux modèles génératifs

 Pierre-Alexandre Mattei , Serena Villata
Bruno Martin; Sara Riva. Informatique Mathématique: Une photographie en 2022, CNRS Editions, 2022
Chapitre d'ouvrage hal-03849387v1
Image document

Unobserved classes and extra variables in high-dimensional discriminant analysis

 Michael Fop , Pierre-Alexandre Mattei , Charles Bouveyron , Thomas Brendan Murphy
Advances in Data Analysis and Classification, 2022, 16, pp.55-92. ⟨10.1007/s11634-021-00474-3⟩
Article dans une revue hal-03132362v1

A Parsimonious Tour of Bayesian Model Uncertainty

 Pierre-Alexandre Mattei
2020
Pré-publication, Document de travail hal-03044295v1
Image document

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

 Irene Balelli , Aude Sportisse , Francesco Cremonesi , Pierre-Alexandre Mattei , Marco Lorenzi
2023
Pré-publication, Document de travail hal-04069795v1

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

 Federico Bergamin , Pierre-Alexandre Mattei , Jakob Havtorn , Hugo Senetaire , Hugo Schmutz , et al.
AISTATS 2022 - 25th International Conference on Artificial Intelligence and Statistics, Mar 2022, Valence, Spain
Communication dans un congrès hal-03600783v1
Image document

Sparse GEMINI for joint discriminative clustering and feature selection

 Louis Ohl , Pierre-Alexandre Mattei , Charles Bouveyron , Mickaël Leclercq , Arnaud Droit , et al.
2023
Pré-publication, Document de travail hal-04195208v1

Generalised Mutual Information for Discriminative Clustering

 Louis Ohl , Pierre-Alexandre Mattei , Charles Bouveyron , Warith Harchaoui , Mickaël Leclercq , et al.
NeurIPS - Thirty-sixth Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States
Communication dans un congrès hal-03815229v1

Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives

 Pierre-Alexandre Mattei , Jes Frellsen
2022
Pré-publication, Document de travail hal-03817920v1

18FDG PET/CT and Machine Learning for the prediction of lung cancer response to immunotherapy

 Hugo Schmutz , Pierre-Alexandre Mattei , Sara Contu , David Chardin , Olivier Humbert
EANM 2022 - 35th Annual Congres - Annual Congress of the European Association of Nuclear Medicine, Oct 2022, Barcelona, Spain. pp.245, ⟨10.1007/s00259-022-05924-4⟩
Communication dans un congrès hal-03876074v1

Are Ensembles Getting Better all the Time?

 Pierre-Alexandre Mattei , Damien Garreau
2024
Pré-publication, Document de travail hal-04542705v1
Image document

Generalised Mutual Information: a Framework for Discriminative Clustering

 Louis Ohl , Pierre-Alexandre Mattei , Charles Bouveyron , Warith Harchaoui , Mickaël Leclercq , et al.
2023
Pré-publication, Document de travail hal-04198445v1
Image document

GemClus

 Louis Ohl , Pierre-Alexandre Mattei , Frédéric Precioso
2023
Logiciel hal-04209625v1
Image document

Tensor decomposition for learning Gaussian mixtures from moments

 Rima Khouja , Pierre-Alexandre Mattei , Bernard Mourrain
Journal of Symbolic Computation, 2022, 113, pp.193-210. ⟨10.1016/j.jsc.2022.04.002⟩
Article dans une revue hal-03244448v2
Image document

How to deal with missing data in supervised deep learning?

 Niels Bruun Ipsen , Pierre-Alexandre Mattei , Jes Frellsen
ICLR 2022 - 10th International Conference on Learning Representations, Apr 2022, Virtual conference, France
Communication dans un congrès hal-03044144v2
Image document

Model selection for sparse high-dimensional learning

 Pierre-Alexandre Mattei
Statistics [math.ST]. Université Paris 5, 2017. English. ⟨NNT : ⟩
Thèse tel-01655924v1
Image document

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
International Conference on Machine Learning (ICML), 2023, Hawaii, United States
Communication dans un congrès hal-03982898v1

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

 Hugo Schmutz , Olivier Humbert , Pierre-Alexandre Mattei
International Conference on Learning Representations, 2023, Kigali, Rwanda
Communication dans un congrès hal-03610272v1
Page :