Samuel Stocksieker

13 papers A 1B 3Journal 6Unranked 3
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 — 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