About me

I am a researcher at Isomorphic Labs, working on generative models for therapeutics design. I hold a PhD from EPFL (2023), where I studied under the guidance of Pascal Frossard and developed several denoising diffusion models for molecules and graphs in general. Before that, I studied in France at École Polytechnique and ENS Paris-Saclay (master MVA - Mathematics, Vision and Learning).

Selection of papers:

Manuel Madeira, C.V., Dorina Thanou, Pascal Frossard - Generative modelling of structurally constrained graphs (NeurIPS 2024)

C.V., Nagham Osman, Laura Toni, Pascal Frossard - MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation (ECML 2023)

C.V. * , Igor Krawczuk * , Antoine Siraudin, Bohan Wang, Vokan Cevher, Pascal Frossard - DiGress: Discrete Denoising diffusion for graph generation (ICLR 2023)

Emiel Hoogeboom * , Victor Garcia Satorras * , C.V. * , Max Welling - Equivariant diffusion for molecule generation in 3D (ICML 2022 long presentation)

C.V., Pascal Frossard - Top-N: Equivariant Set and Graph Generation without Exchangeability (ICLR 2022)

C.V., Andreas Loukas and Pascal Frossard - Building powerful and equivariant graph neural networks with structural message-passing (NeurIPS 2020)

Full list

For a full list of publications, look at my Google scholar page.