Pierre-Alexandre Mattei
12 papers · 2016–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π£ Hot Topic Early Bird
π
Academic Marathon
(9)
π£
Hot Topic Early Bird
π
Keyword Champion
(2)
π§¬
Topic Evolution
π
Century Club
(12)
β
The Questioner
(3)
Conferences
ICML (4)
ICLR (3)
AISTATS (2)
NIPS (2)
JMLR (1)
Top co-authors
Keywords
variational inference
(3)
deep latent variable model
(2)
missing datum
(2)
neural network
(2)
feature importance
(1)
statistical testing
(1)
statistical inference
(1)
kullback-leibler divergence
(1)
bayesian inference
(1)
probabilistic pca
(1)
sparse pca
(1)
maximum likelihood estimation
(1)
unsupervised feature selection
(1)
false positive rate
(1)
probabilistic model
(1)
discriminative clustering
(1)
generative model
(1)
missing data imputation
(1)
ensemble method
(1)
approximate bayesian computation
(1)
Papers
Are Ensembles Getting Better All the Time?
JMLR 2025
Donβt fear the unlabelled: safe semi-supervised learning via debiasing
ICLR 2023
Explainability as statistical inference
ICML 2023
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
ICML 2023
Generalised Mutual Information for Discriminative Clustering
NIPS 2022
How to deal with missing data in supervised deep learning?
ICLR 2022
Model-agnostic out-of-distribution detection using combined statistical tests
AISTATS 2022
not-MIWAE: Deep Generative Modelling with Missing not at Random Data
ICLR 2021
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
ICML 2019
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets
ICML 2019
Leveraging the Exact Likelihood of Deep Latent Variable Models
NIPS 2018
Globally Sparse Probabilistic PCA
AISTATS 2016