AI RESEARCH
ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule
arXiv CS.AI
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ArXi:2601.18681v2 Announce Type: replace-cross 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 suboptimal given a budget on the number of time steps. We