This repo contains my labs and projects done during my master MVA (https://www.master-mva.com/) at ENS Paris-Saclay.
| Course | Teachers | Keywords |
|---|---|---|
| Time Series | L. Oudre, C. Truong | Modelling, Pattern recognition, Dictionary learning, Sparse reconstruction, Change point and anomaly detection, Multivariate time series |
| Computational Statistics | S. Allassonnière | MCMC methods, EM algorithms, Stochastic approximations |
| Altegrad | M. Vazirgiannis | Deep Learning for NLP and graph data, LLM, GNN |
| Topological Data Analysis | J. Tierny, F. Chazal | Introduction to algebraic topology, homology & Algorithms |
| Convex Optimization | A. D'Aspremont | Modelling, Duality & Algorithms |
| Distributed Optimization | E. Chouzenoux | Proximal tools, splitting techniques, Majorization-Minimization strategies |
| Computational Optimal Transport | G. Peyre | Monge and Kantorovitch problems, regularization, Sinkhorn algorithm |
| Remote sensing data analysis | C. Kervazo, C. de Franchis, G. Facciolo, E. Meinhardt, F. Tupin | modelling, 3d information recovery, time series analysis |
| Kernel methods in Machine Learning | J. Mairal, M. Arbel | Supervised and Unsupervised kernel methods |
| Blind Source Separation and applications in astrophysics | J. Bobin, C. Kervazo | ICA, Sparse source separation |