Denys Pommeret

25 papers A 1B 3Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 B conf
Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression.
KES
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2025 J jnl
Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression.
CoRR
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2025 B conf
KurtHGR: A Neural Maximal Correlation for Tabular Datasets.
KES
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2024 B conf
Boarding for ISS: Imbalanced Self-Supervised Discovery of a Scaled Autoencoder for Mixed Tabular Datasets.
IJCNN
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2024 J jnl
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets.
CoRR
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2024 J jnl
Contamination-source based K-sample clustering.
J. Mach. Learn. Res.
Xavier Milhaud, Denys Pommeret, Yahia Salhi, Pierre Vandekerkhove
2024 — conf
Data Augmentation with Variational Autoencoder for Imbalanced Dataset.
ICONIP (2)
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2024 J jnl
Data Augmentation with Variational Autoencoder for Imbalanced Dataset.
CoRR
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2024 J jnl
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory: Application in Regression.
Trans. Mach. Learn. Res.
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2023 A conf
Data Augmentation for Imbalanced Regression.
AISTATS
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2023 J jnl
Data Augmentation for Imbalanced Regression.
CoRR
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2023 J jnl
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory.
CoRR
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2022 — conf
MI2AMI: Missing Data Imputation Using Mixed Deep Gaussian Mixture Models.
LOD (1)
Robin Fuchs, Denys Pommeret, Samuel Stocksieker
2022 — conf
MIAMI: MIxed Data Augmentation MIxture.
ICCSA (1)
Robin Fuchs, Denys Pommeret, Samuel Stocksieker
2022 J jnl
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets.
Adv. Data Anal. Classif.
Robin Fuchs, Denys Pommeret, Cinzia Viroli
2020 J jnl
Mixed data Deep Gaussian Mixture Model: A clustering model for mixed datasets.
CoRR
Robin Fuchs, Denys Pommeret, Cinzia Viroli
2016 J jnl
A polynomial expansion to approximate the ultimate ruin probability in the compound Poisson ruin model.
J. Comput. Appl. Math.
Pierre-Olivier Goffard, Stéphane Loisel, Denys Pommeret
2015 J jnl
Data driven smooth test of comparison for dependent sequences.
J. Multivar. Anal.
Paul Doukhan, Denys Pommeret, Laurence Reboul
2013 J jnl
A two-sample test when data are contaminated.
Stat. Methods Appl.
Denys Pommeret
2013 J jnl
Likelihood-free parallel tempering.
Stat. Comput.
Meïli C. Baragatti, Agnès Grimaud, Denys Pommeret
2013 J jnl
Parallel tempering with equi-energy moves.
Stat. Comput.
Meïli C. Baragatti, Agnès Grimaud, Denys Pommeret
2012 J jnl
A study of variable selection using g-prior distribution with ridge parameter.
Comput. Stat. Data Anal.
Meïli C. Baragatti, Denys Pommeret
2011 J jnl
Comments on 'Bayesian variable selection for disease classification using gene expression data'.
Bioinform.
Meïli C. Baragatti, Denys Pommeret
2008 — conf
Testing Mixed Distributions when the Mixing Distribution Is Known.
GfKl
Denys Pommeret
2001 J jnl
Orthogonal and pseudo-orthogonal multi-dimensional Appell polynomials.
Appl. Math. Comput.
Denys Pommeret