2 papers
cs.LG2026
A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching
Feiyang Fu, Hehe Fan
Discrete flow matching (DFM) provides a principled framework for generative modeling on discrete state spaces via continuous-time Markov chain dynamics. In practice, sampling for D…
cs.LG2025
Learnable Sampler Distillation for Discrete Diffusion Models
Feiyang Fu, Tongxian Guo, Zhaoqiang Liu
Discrete diffusion models (DDMs) have shown powerful generation ability for discrete data modalities like text and molecules. However, their practical application is hindered by in…