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 diffusion models and their applications.

My favourite jazz album is Getz/Gilberto.

[scholar] [github] [twitter] [email]

Papers

2026 Velocity Scaling in Flow Matching Youssef Saied and François Fleuret
arXiv preprint
[arxiv]

2026 Pooling Representation Autoencoders for Efficient Diffusion Ramón Calvo-González, Youssef Saied and François Fleuret
arXiv preprint
[arxiv]

2026 Normalization Equivariance for Arbitrary Backbones Youssef Saied and François Fleuret
International Conference on Machine Learning (ICML)
[arxiv] [code]