2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2024
Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation
Zhiqiang Cai, Yu Cao, Yuanfei Huang +1
Sampling invariant distributions from an Itô diffusion process presents a significant challenge in stochastic simulation. Traditional numerical solvers for stochastic differential…
cs.LG2023★ 2 cited
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
Yu Cao, Jingrun Chen, Yixin Luo +1
The diffusion model has shown remarkable success in computer vision, but it remains unclear whether the ODE-based probability flow or the SDE-based diffusion model is more superior…