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Cours du 1er semestre
master M2 MVA
Learning
Foundations of Distributed and Large Scale Computing Optimization
E. CHOUZENOUX et J.-C. PESQUET
Theory
Learning
Deep Learning
V.LEPETIT (Université de Bordeaux)
Deep Learning
Learning
Advanced learning for text and graph data ALTEGRAD
M. VAZIRGIANNIS
Natural Language Processing
Learning
Introduction to statistical learning
N. VAYATIS
Machine Learning
Learning
Computational optimal transport
G. PEYRE
Data Science
Learning
Reinforcement learning
Alessandro LAZARIC & Matteo PIROTTA
Machine Learning
Learning
Probabilistic graphical models
N. CHOPIN; P. LATOUCHE
Theory
Learning
Convex optimization and applications in machine learning
A. D'ASPREMONT
Theory
Learning
Computational Statistics
S.ALLASSONNIERE
Biomedical / Health
Modelling
Méthodes mathématiques pour les neurosciences
E. TANRE, R. VELTZ
Biomedical / Health
Modelling
Image denoising : the human machine competition
J.-M. MOREL, G.FACCIOLO, P.ARIAS
Image processing
Modelling
3D computer vision
R. MARLET, P. MONASSE, M. AUBRY
Computer Vision
Modelling
Sub-pixel image processing
L. MOISAN
Image processing
Modelling
Object recognition and computer vision
I. LAPTEV, J. PONCE, C. SCHMID, J. SIVIC,
Computer Vision
Modelling
Introduction à l’imagerie numérique
J. DELON,Y. GOUSSEAU
Image processing
Modelling
Introduction to medical image analysis
H. DELINGETTE, X. PENNEC
Biomedical / Health
Modelling
Topological data analysis for imaging and machine learning.
J. TIERNY, F.CHAZAL
Computer Vision
FUTURS
ÉTUDIANTS
ENS Paris-Saclay
CANDIDATER
Cours du
1er semestre
Types de cours :
Tous
Learning
Modelling
Domaines visés :
Tous
Biomedical / Health
Computer Vision
Data Science
Deep Learning
Image processing
Machine Learning
Natural Language Processing
Signal processing
Theory
voir tous les cours du 1er semestre
Cours du
2nd semestre
Types de cours :
Tous
Learning
Modelling
Domaines visés :
Tous
Biomedical / Health
Computer Vision
Data Science
Deep Learning
Image processing
Machine Learning
Natural Language Processing
Signal processing
Theory
voir tous les cours du 2nd semestre
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