Projects and labs done during M.Sc. MVA (Maths, Imaging, Machine Learning) at ENS Paris-Saclay.
| Course | Instructor |
|---|---|
| Maths for Neurosciences | E. Tanre, R. Veltz |
| Computational Neuroscience | J-P. Nadal |
| Optimal Transport | G. Peyré |
| Geometry and Shape Spaces | A. Trouvé, J.A. Glaunès |
| Convex Optimization | A. d'Aspremont |
| Topological Data Analysis | F. Chazal, J. Tierny |
| Random Matrix Theory | R. Couillet, J. Najim |
| Numerical Imaging | J. Delon, Y. Gousseau |
| Numerical PDEs for Image Analysis | J-M. Mirebeau |
| Functional Brain Imaging | B. Thirion, T. Papadopoulo |
| Source Separation for Astrophysics | C. Kervazo, J. Bobin |
| Probabilistic Graphical Models | P. Latouche, P-A. Mattei |
| Bayesian Machine Learning | R. Bardenet, J. Arbel |
| Geometric Approach to Statistical Learning | S. Durrleman |
| Reinforcement Learning | M. Pirotta |
| Foundations of Deep Learning | S. Gerchinovitz, F. Malgouyres, E. Pauwels, N. Thome |
| Advanced Learning for Text and Graph Data | M. Vazirgiannis |