Rémi Flamary

Professional website

Teaching

warning

Supports and exercises are subject to change and can contain mistakes/typos.

Departement of Applied Mathematics, École Polytechnique

Emerging topics in Machine Learning
Part 1 : Optimal Transport for machine learning.
3rd year X, Master
Practical Introduction to Machine Learning
Master 2 Data Science, IP Paris
Optimization for Data Science and Machine Learning
Master 2 Data Science, IP Paris
Signal Processing from Fourier to machine learning
3rd year X, Master

Tutorials

Optimal Transport for Machine Learning (OTML)
Data Science Summer School 2018, ISBI Tutorial 2019, Hi! Paris summer school 2022
Domain Adaptation from shallow to deep learning
Peyresq signal and image processing summer school, 2022

Departement of Electronics, Université Côte d'Azur (in french, 2012-2020)

Numerical methods in Python
Licence 3
Numerical methods in C
Licence 3
Signals and Systems
Licence 3
Signals and stochastic processes
Master 1 Estel
Advanced signal processing, Machine Learning
Master 1 Estel
Machine learning and Brain-Computer Interfaces
Master 1 GBM
Theory of statistical learning (english)
Master 1 Data Science
Optimization for Machine Learning (english)
Master 1 Data Science
Telecommunications T1
Master 1 Estel

Past activities

2011-2012 : Teaching Assistant at Université de Rouen

Numerical Methods, Licence 3 EEA
Mathematical tools for signal processing, Licence 3 EEA
Numerical data processing, Licence 1 MIEEA
Pattern Recognition and Brain-Computer Interfaces, Master IBIOM

2008-2011 : Teaching Assistant at INSA de Rouen

Mathematics for Engineering (bachelor 2), Dept. STPI
Algorithmic (bachelor 2), Dept. STPI
Statistics (bachelor 3), Dept. ASI
Signal Processing (bachelor 3 and 4), Dept. ASI
Projects supervision in Brain-Computer Interfaces (bachelor 3), Dept. ASI