Victor Letzelter

5 papers · 2023–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🏆 Keyword Champion (3)

Venues

NeurIPS (3) ICML (2)

Top co-authors

Slim Essid (3) Patrick Pérez (3) Gaël RICHARD (3) Mickaël Chen (2) Cédric ROMMEL (2) David Perera (2) Adrien Cortés (2) Mathieu Fontaine (2) Eduardo Valle (1) Théo Mariotte (1)

Research topics

Machine Learning (4) Core Methods (3) Mathematics & Optimization (2) Optimization (2) Optimization & Theory (2) Artificial Intelligence (1) Computer Vision (1) Deep Learning (1) Analysis (1) Architectures (1) Bayesian & Probabilistic (1)

Keywords

multiple choice learning (3) quantization (2) human pose estimation (1) simulated annealing (1) 3d pose estimation (1) time series forecasting (1) conditional density estimation (1) conditional distribution estimation (1) hypothesis space (1) voronoi tessellation (1) monocular depth (1) neural network (1) multi-hypothesis estimation (1) ambiguous task (1) centroidal voronoi tessellation (1) pose manifold (1) multimodal regression (1) audio scene analysis (1) geometry-aware (1) winner-takes-all learners (1)

Papers

Winner-takes-all for Multivariate Probabilistic Time Series Forecasting ICML 2025 Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing NeurIPS 2024 ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation NeurIPS 2024 Winner-takes-all learners are geometry-aware conditional density estimators ICML 2024 Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis NeurIPS 2023