Letzelter, Victor

6 publications

ICML 2025 Winner-Takes-All for Multivariate Probabilistic Time Series Forecasting Adrien Cortes, Remi Rehm, Victor Letzelter

NeurIPS 2024 Annealed Multiple Choice Learning: Overcoming Limitations of Winner-Takes-All with Annealing David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickael 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

NeurIPSW 2024 ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Perez, Eduardo Valle

ICML 2024 Winner-Takes-All Learners Are Geometry-Aware Conditional Density Estimators Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Perez

NeurIPS 2023 Resilient Multiple Choice Learning: A Learned Scoring Scheme with Application to Audio Scene Analysis Victor Letzelter, Mathieu Fontaine, Mickael Chen, Patrick Pérez, Slim Essid, Gaël Richard