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Gabriel Peyré
Gabriel Peyré
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Disciplines:
Applied mathematics
Mathematics
Natural sciences
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Thesis:
Géométrie multi-échelles pour les images et les textures
Directed Thesis:
First-order noneuclidean splitting methods for large-scale optimization : deterministic and stochastic algorithms
Entropy-regularized Optimal Transport for Machine Learning
Theoretical and Numerical Analysis of Super-Resolution Without Grid
Transport optimal de mesures positives : modèles, méthodes numériques, applications
Synthèse de textures dynamiques pour l'étude de la vision en psychophysique et électrophysiologie
Convergence rates of first-order operator splitting methods
A Signal Processing Approach to Voltage-Sensitive Dye Optical Imaging