M2 / Second year of Master Degree at ENS de Lyon
Internship. Graph-based Methods for Brain Structural Connectivity Analysis, supervised by Pierre Maurel and Julie Coloigner at the Empenn team. (report, slides)
Machine Learning. An Optimal Transport View on Generalization. Article synthesis and small personal analysis of a special case of the article. (report, slides)
Information Theory. Group testing algorithms: bounds and simulations. Article Synthesis. (slides)
Quantum Computation and Information. Quantum lower bounds in the black-box model, and quantum complexity of graph properties. Synthesis of a group of articles, group project. (report, slides)
M1 / First year of Master Degree at ENS de Lyon
Internship. Reinforement Learning of Parameters in Complex Physical Systems. Supervised by Kartic Subr and Tatiana Lopez-Guevara at the University of Edinburgh. (report, slides)
Machine Learning. Optimal Transport in Machine Learning. Group project focusing on the use of optimal transport in the machine learning field. (report, implementation)
L3 / Bachelor Degree at ENS de Lyon
Internship. Geometry and Statistics of the Time-Frequency Signatures of High-Frequency Oscillations in EEG. Co-supervised by Paulo Gonçalves and Patrick Flandrin. (report, slides ; only in French for the moment). I developped hfo-zeroes, a proof of concept HFO detector during this internship.
Quantum Computing Project. Group report on the study of supraconductors circuits, qbits decoherence, and quantum error correcting codes, for the Physics, Information and Computation lecture given by both the Physics and Computer Science department. (report ; only in French at the moment)
CPGE
- TIPE. Study of some disrete-time pursuit evasion games, taking place in graphs or in an Euclidean space. (report); only in French at the moment)