2 papers
stat.ML2026
Score Mismatch and Set-Constrained Sampling in Zero-Shot Conditional Discrete Diffusion
Renxiang Huang, Yuchen Liang, Yingbin Liang +2
Discrete diffusion models have become a powerful framework for modeling complex discrete distributions across a range of applications. While theoretical convergence guarantees depe…
cs.LG2025
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
Yuchen Liang, Renxiang Huang, Lifeng Lai +2
Discrete state space diffusion models have shown significant advantages in applications involving discrete data, such as text and image generation. It has also been observed that t…