Cours du 1er semestre - Master MVA

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