17 citations · 20 across the 16 of their papers we have counts for
4 papers · 1 filter
Tweedie's Formulae and Diffusion Generative Models Beyond Gaussian
Wenpin Tang, Nizar Touzi, Zikun Zhang +1
Diffusion models have achieved remarkable success in generating samples from unknown data distributions. Most popular stochastic differential equation-based diffusion models pertur…
Image AID via continuous-time reinforcement learning
Yilie Huang, Xun Yu Zhou
We study image inpainting with generative diffusion models. Existing methods typically either train dedicated task-specific models, or adapt a pretrained diffusion model separately…
Merton's Problem with Recursive Perturbed Utility
Min Dai, Yuchao Dong, Yanwei Jia +1
The classical Merton investment problem predicts deterministic, state-dependent portfolio rules; however, laboratory and field evidence suggests that individuals often prefer rando…
ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule
Yilie Huang, Wenpin Tang, Xunyu Zhou
We consider time discretization for score-based diffusion models to generate samples from a learned reverse-time dynamic on a finite grid. Uniform and hand-crafted grids can be sub…