Vis2Rec: A Large-Scale Visual Dataset for Visit Recommendation. - Michaël Soumm; Adrian Popescu 001; Bertrand Delezoide (WACV, 2023)

An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning. - Grégoire Petit; Michaël Soumm; Eva Feillet; Adrian Popescu 001; Bertrand Delezoide; David Picard; Céline Hudelot (WACV, 2024)

Toward Fairer Face Recognition Datasets. - Alexandre Fournier-Montgieux; Michaël Soumm; Adrian Popescu 001; Bertrand Luvison; Hervé Le Borgne (CoRR, 2024)

Causal Inference Tools for a Better Evaluation of Machine Learning. - Michaël Soumm (CoRR, 2024)

Quantifying User Coherence: A Unified Framework for Cross-Domain Recommendation Analysis. - Michaël Soumm; Alexandre Fournier-Montgieux; Adrian Popescu 001; Bertrand Delezoide (CoRR, 2024)

Refining machine learning evaluation : statistical insights into model performance and fairness. (Affinage de l'évaluation en apprentissage automatique : perspectives statistiques sur la performance des modèles et leur équité). - Michaël Soumm (2024)

Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification. - Alexandre Fournier-Montgieux; Michaël Soumm; Adrian Popescu 001; Bertrand Luvison; Hervé Le Borgne (WACV, 2025)