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Teaching

E. Chouzenoux Advanced Machine Learning, 3rd year course, CentraleSupélec 18 hours
Foundations of Distributed and Large Scale Optimization, M.Sc. in Data Sciences and Business Analytics, CentraleSupélec and ESSEC Business School, M.Sc. in Vision and Machine Learning, ENS Paris-Saclay 26 hours
Optimization, 1st year Bachelor AIDAMS, Univ. Paris Saclay 24 hours
F. Malliaros Foundations of Machine Learning, M.Sc. in Data Sciences and Business Analytics, CentraleSupélec and ESSEC Business School 27 hours
Machine Learning in Network Science, M.Sc. in Data Sciences and Business Analytics, CentraleSupélec and ESSEC Business School and M.Sc. in Artificial Intelligence, CentraleSupélec 27 hours
N. Ouzir Advanced Machine Learning, M.Sc. in Data Sciences and Business Analytics, CentraleSupélec and ESSEC Business School 24 hours
Machine Learning, 2nd year, CentraleSupélec 30 hours
Medical Imaging, EUGLOH 3 hours
J.-C. Pesquet Introductory course on Optimization, 2nd year course, CentraleSupélec 33 hours
Introduction to Optimization, M.Sc. in Vision and Machine Learning, ENS Paris-Saclay 6 hours
Advanced course on Optimization, M.Sc. in Signal Processing and Automatic Control, Univ. Paris-Saclay 10 hours
Convex Optimization Algorithms, M.Sc. in Optimization, Univ. Paris-Saclay 15 hours
H. Talbot Optimisation for Machine Learning, M.Sc. in AI, CentraleSupélec 36 hours
High-Performance Computing, 2nd year course, CentraleSupélec 12 hours
Introduction to Mathematical Morphology, 3rd year course, CentraleSupélec 16 hours
Modern Mathematical Morphology, 3rd year CentraleSupélec, M.Sc. in Vision and Machine Learning, ENS Paris-Saclay 31 hours
Artificial Intelligence, M.Sc. Management of Technology, CentraleSupélec 36 hours
T. Silveti-Falls Convergence, Integration, and Probability, 1st year course, CentraleSupélec 31.5 hours
Optimization for Computer Vision, 3rd year course, CentraleSupélec 24 hours
Introduction to Optimization, 2nd year course, CentraleSupélec 3 hours