Short bio
Master 2 MVA , ENS Paris-Saclay
Thesis title
Apprentissage non-supervisé de représentations et applications en santé (Unsupervised representation learning and applications in healthcare).
Short abstract
Unsupervised representation learning has recently caught up with the performance of supervised approaches thanks to the introduction of contrastive methods. The mathematical study of these new methods is essential to better understand and exploit them as well as provide guarantees on their performance. Their application is especially relevant in healthcare where supervision is commonly lacking.