Yoann Boget

According to our database, Yoann Boget authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs.

Yoann Boget, Alexandros Kalousis

CoRR, March, 2025

GLAD: Improving Latent Graph Generative Modeling with Simple Quantization.

Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Discrete Graph Auto-Encoder.

Yoann Boget, Magda Gregorova, Alexandros Kalousis

Trans. Mach. Learn. Res., 2024

Discrete Latent Graph Generative Modeling with Diffusion Bridges.

Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis

CoRR, 2024

2023

Vector-Quantized Graph Auto-Encoder.

Yoann Boget, Magda Gregorova, Alexandros Kalousis

CoRR, 2023

2022

GrannGAN: Graph annotation generative adversarial networks.

Yoann Boget, Magda Gregorova, Alexandros Kalousis

CoRR, 2022

Graph annotation generative adversarial networks.

Yoann Boget, Magda Gregorova, Alexandros Kalousis

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Permutation Equivariant Generative Adversarial Networks for Graphs.

Yoann Boget, Magda Gregorova, Alexandros Kalousis

CoRR, 2021

2019

Adversarial Regression. Generative Adversarial Networks for Non-Linear Regression: Theory and Assessment.

Yoann Boget

CoRR, 2019