I'm a PhD student in the Machine Learning Group at the University of Geneva. My advisor is François Fleuret. Before that, I studied physics and data science at EPFL.
I'm interested in structural priors for image restoration and generative modeling; self-supervised learning; and partition function estimation.
My favourite jazz album is Getz/Gilberto.
2026
Normalization Equivariance for Arbitrary Backbones, with Application
to Image Denoising
Youssef Saied and François Fleuret
International Conference on Machine Learning (ICML)
[arxiv]
[code]