Yoann Boget

11 papers A* 2C 1Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation.
CoRR
Yoann Boget, Alexandros Kalousis
2025 J jnl
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs.
CoRR
Yoann Boget, Alexandros Kalousis
2025 A* conf
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization.
AAAI
Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis
2025 A* conf
Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation.
ICML
Yoann Boget
2024 J jnl
Discrete Graph Auto-Encoder.
Trans. Mach. Learn. Res.
Yoann Boget, Magda Gregorova, Alexandros Kalousis
2024 J jnl
Discrete Latent Graph Generative Modeling with Diffusion Bridges.
CoRR
Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis
2023 J jnl
Vector-Quantized Graph Auto-Encoder.
CoRR
Yoann Boget, Magda Gregorova, Alexandros Kalousis
2022 J jnl
GrannGAN: Graph annotation generative adversarial networks.
CoRR
Yoann Boget, Magda Gregorova, Alexandros Kalousis
2022 C conf
Graph annotation generative adversarial networks.
ACML
Yoann Boget, Magda Gregorova, Alexandros Kalousis
2021 J jnl
Permutation Equivariant Generative Adversarial Networks for Graphs.
CoRR
Yoann Boget, Magda Gregorova, Alexandros Kalousis
2019 J jnl
Adversarial Regression. Generative Adversarial Networks for Non-Linear Regression: Theory and Assessment.
CoRR
Yoann Boget