MVA and MscAI masters, and CentraleSupelec cursus, January-March 2026
News : (reload for fresher news...)
- Registration for the 2026 course: click here! The previous course (January-March 2025) can be found there; the 2026 course will follow more or less the same lines, though not exactly.
To attend the 2026 course (that will start in January 2026), please register here first.
NB: Auditors (auditeurs libres) are welcome; just subscribe as well (no need to ask me by email).
To just access the recordings of previous courses (without attending the course), register here instead.
Requirements : having already followed a course about neural networks (this is an advanced deep learning course).
Typical mathematical notions used: differential calculus, Bayesian statistics, analysis, information theory.
Teaching team :
Most lectures: Guillaume Charpiat
Practical sessions: Styliani Douka and Théo Rudkiewicz (incl. materials by Victor Berger, Alessandro Bucci, Loris Felardos, Rémy Hosseinkhan, Wenzhuo Liu, Matthieu Nastorg, Francesco Pezzicoli, Cyriaque Rousselot and Antoine Szatkownik)
Course validation : (might change)
4 practicals (notebooks), presented in class, to do at home in groups of 1-3 people, and to hand in within 2 weeks
