Dorian Gailhard

prof_pic.jpg

I am a PhD student in Artificial Intelligence at Télécom Paris (LTCI, COMELEC), focusing on generative models applied to graph theory. I am supervised by Jhony Giraldo, Enzo Tartaglione and Lirida Naviner. The PhD is done in collaboration with Arteris and aims at developing a deep-learning model able to generate electronic chip designs.

Previously, I interned at University of Padua, working on the Maximum Clique Problem, which is a combinatorial problem. I was supervised by Francesco Rinaldi and Damiano Zeffiro.

I hold engineering degrees from Télécom Paris, Eurecom and ENS Paris-Saclay. My research interests aim at generalizing the work done for image / video / music generation to a more abstract layer, in order to make these techniques work for a much broader field of application.

News

Dec 10, 2024 Our paper HYGENE: A Diffusion-based Hypergraph Generation Method has been accepted at AAAI.
May 02, 2024 I started a PhD at Télécom Paris. Advised by Jhony Giraldo, Enzo Tartaglione and Lirida Naviner. The PhD focuses on generative models and graph theory and aims at developing a deep-learning model able to generate electronic chip designs.

Latest posts

Publications

  1. hygene_icon.png
    HYGENE: A Diffusion-based Hypergraph Generation Method
    Dorian Gailhard, Enzo Tartaglione, Lirida Naviner, and 1 more author
    2024