Showing math.OCShow all
2 papers · 1 filter
math.OC2026
Proximal-Based Generative Modeling for Bayesian Inverse Problems
Boyang Zhang, Zhiguo Wang, Ya-Feng Liu
Score-based diffusion models demonstrate superior performance in generative tasks but encounter fundamental bottlenecks in inverse problems due to the analytical intractability of…
math.OC2025
A Gradient Guided Diffusion Framework for Chance Constrained Programming
Boyang Zhang, Zhiguo Wang, Ya-Feng Liu
Chance constrained programming (CCP) is a powerful framework for addressing optimization problems under uncertainty. In this paper, we introduce a novel Gradient-Guided Diffusion-b…