Dorian Gailhard

I am a PhD student in Artificial Intelligence at Télécom Paris (LTCI, COMELEC).

My research focuses on scalable machine learning methods for graph and hypergraph generation and structured combinatorial systems, with applications to electronic design automation (EDA).

I am supervised by Jhony Giraldo, Enzo Tartaglione and Lirida Naviner. The PhD is done in collaboration with Arteris and aims at developing generative AI methods for automated chip design.

Previously, I interned at University of Padua, working on the Maximum Clique Problem, a classical combinatorial problem. I was supervised by Francesco Rinaldi and Damiano Zeffiro. I hold engineering degrees from Télécom Paris, Eurecom and ENS Paris-Saclay.

News

Apr 30, 2026	Our paper Feature-aware (Hyper)graph Generation via Next-Scale Prediction has been accepted at ICML.
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

Jun 02, 2025	FAHNES: Feature-aware (Hyper)graph Generation via Next-Scale Prediction
Aug 23, 2024	HYGENE: A Diffusion-based Hypergraph Generation Method

Publications

HYGENE: A Diffusion-based Hypergraph Generation Method

Dorian Gailhard, Enzo Tartaglione, Lirida Naviner, and 1 more author

In AAAI Conference on Artificial Intelligence, 2025

Bib PDF Blog Code Poster Slides

@inproceedings{gailhard2025hygene,
  title = {HYGENE: A Diffusion-based Hypergraph Generation Method},
  author = {Gailhard, Dorian and Tartaglione, Enzo and Naviner, Lirida and Giraldo, Jhony H.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year = {2025},
}

Feature-aware (Hyper)graph Generation via Next-Scale Prediction

Dorian Gailhard, Enzo Tartaglione, Lirida Naviner, and 1 more author

In International Conference on Machine Learning, 2026

Bib PDF Blog Code Poster

@inproceedings{gailhard2025featureawarehypergraphgenerationnextscale,
  title = {Feature-aware (Hyper)graph Generation via Next-Scale Prediction},
  author = {Gailhard, Dorian and Tartaglione, Enzo and Naviner, Lirida and Giraldo, Jhony H.},
  booktitle = {International Conference on Machine Learning},
  year = {2026},
}