2 papers
cs.LG2025
Noise is All You Need: Solving Linear Inverse Problems by Noise Combination Sampling with Diffusion Models
Xun Su, Hiroyuki Kasai
Pretrained diffusion models have demonstrated strong capabilities in zero-shot inverse problem solving by incorporating observation information into the generation process of the d…
cs.LG2025
Navigating the Exploration-Exploitation Tradeoff in Inference-Time Scaling of Diffusion Models
Xun Su, Jianming Huang, Yang Yusen +2
Inference-time scaling has achieved remarkable success in language models, yet its adaptation to diffusion models remains underexplored. We observe that the efficacy of recent Sequ…