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
Graphs in machine learning
M. VALKO
Machine Learning
Learning
Mathematical foundations of data sciences
G. PEYRE
Data Science
Learning
Reinforcement learning
A. LAZARIC
Machine Learning
Learning
Probabilistic graphical models
F. BACH, G. OBOZINSKI
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

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