Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. - Victor Letzelter; Mathieu Fontaine 002; Mickaël Chen; Patrick Pérez; Slim Essid; Gaël Richard (NeurIPS, 2023)

Winner-takes-all learners are geometry-aware conditional density estimators. - Victor Letzelter; David Perera; Cédric Rommel; Mathieu Fontaine 002; Slim Essid; Gaël Richard; Patrick Pérez (ICML, 2024)

Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing. - David Perera; Victor Letzelter; Théo Mariotte; Adrien Cortés; Mickaël Chen; Slim Essid; Gaël Richard (NeurIPS, 2024)

ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation. - Cédric Rommel; Victor Letzelter; Nermin Samet; Renaud Marlet; Matthieu Cord; Patrick Pérez; Eduardo Valle (NeurIPS, 2024)

Annealed Winner-Takes-All for Motion Forecasting. - Yihong Xu; Victor Letzelter; Mickaël Chen; Éloi Zablocki; Matthieu Cord (CoRR, 2024)

Winner-takes-all for Multivariate Probabilistic Time Series Forecasting. - Adrien Cortés; Rémi Rehm; Victor Letzelter (CoRR, 2025)

Multiple Choice Learning of Low Rank Adapters for Language Modeling. - Victor Letzelter; Hugo Malard; Mathieu Fontaine 002; Gaël Richard; Slim Essid; Andrei Bursuc; Patrick Pérez (CoRR, 2025)