Pierre-Alexandre Mattei
Pierre-Alexandre Mattei
Research scientist, Inria
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets
PA Mattei, J Frellsen
International Conference on Machine Learning, 4413-4423, 2019
332019
Leveraging the exact likelihood of deep latent variable models
PA Mattei, J Frellsen
Advances in Neural Information Processing Systems, 3855-3866, 2018
212018
Bayesian variable selection for globally sparse probabilistic PCA
C Bouveyron, P Latouche, PA Mattei
Electronic Journal of Statistics 12 (2), 3036-3070, 2018
192018
Combining a relaxed EM algorithm with Occam’s razor for Bayesian variable selection in high-dimensional regression
P Latouche, PA Mattei, C Bouveyron, J Chiquet
Journal of Multivariate Analysis 146, 177-190, 2016
122016
Globally sparse probabilistic PCA
PA Mattei, C Bouveyron, P Latouche
Artificial Intelligence and Statistics, 976-984, 2016
92016
Exact dimensionality selection for Bayesian PCA
C Bouveyron, P Latouche, PA Mattei
Scandinavian Journal of Statistics 47 (1), 196-211, 2020
82020
Multiplying a Gaussian matrix by a Gaussian vector
PA Mattei
Statistics & Probability Letters 128, 67-70, 2017
62017
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
S Wiqvist, PA Mattei, U Picchini, J Frellsen
International Conference on Machine Learning, 6798-6807, 2019
52019
Deep adversarial Gaussian mixture auto-encoder for clustering
W Harchaoui, PA Mattei, C Bouveyron
52017
Class‐specific variable selection in high‐dimensional discriminant analysis through Bayesian Sparsity
F Orlhac, PA Mattei, C Bouveyron, N Ayache
Journal of Chemometrics 33 (2), e3097, 2019
42019
Refit your encoder when new data comes by
PA Mattei, J Frellsen
3rd NeurIPS workshop on Bayesian Deep Learning, 2018
42018
A parsimonious tour of bayesian model uncertainty
PA Mattei
arXiv preprint arXiv:1902.05539, 2019
22019
Unobserved classes and extra variables in high-dimensional discriminant analysis
M Fop, PA Mattei, TB Murphy, C Bouveyron
CASI 2018 Conference proceeding, 70-72, 2018
22018
not-MIWAE: Deep generative modelling with missing not at random data
NB Ipsen, PA Mattei, J Frellsen
arXiv preprint arXiv:2006.12871, 2020
12020
Model selection for sparse high-dimensional learning
PA Mattei
12017
How to deal with missing data in supervised deep learning?
NB Ipsen, PA Mattei, J Frellsen
2020
Wasserstein Adversarial Mixture Clustering
W Harchaoui, A Almansa, PA Mattei, C Bouveyron
2018
Deep latent variable models
PA Mattei
Séminaire de statistique du CNAM, 2018
2018
Leveraging the Exact Likelihood of Deep Latent Variable Models–Appendices
PA Mattei, J Frellsen
Supplementary Material - NeurIPS 2018, 2018
2018
Sélection de modèles parcimonieux pour l’apprentissage statistique en grande dimension
PA Mattei
Sorbonne Paris Cité, 2017
2017
The system can't perform the operation now. Try again later.
Articles 1–20