3 papers
cs.LG2026
Measurement Geometry and Design for Trustworthy Generative Inverse Problems
Pengfei Jin, Na Li, Quanzheng Li
Generative models are increasingly used as priors for inverse problems, but their ability to produce realistic images creates a basic trust problem: a plausible reconstruction may…
cs.CV2025
RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
Yiqi Tian, Pengfei Jin, Mingze Yuan +3
Diffusion models have achieved state-of-the-art performance in generative modeling, yet their sampling procedures remain vulnerable to hallucinations-often stemming from inaccuraci…
cs.LG2025
PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models
Mingze Yuan, Pengfei Jin, Na Li +1
Diffusion models have demonstrated strong generative capabilities across scientific domains, but often produce outputs that violate physical laws. We propose a new perspective by f…