Adaptive Reparametrized Time for Score-Based Diffusion Sampling
We study timestep allocation for score-based diffusion sampling, where a learned reverse-time dynamics is discretized on a finite grid. Uniform and hand-crafted schedules are standard choices, but they rely on fixed prescriptions and can therefore be suboptimal. To address this limitation, we propose Adaptive Reparameterized Time (ART), a continuous-time control formulation that learns a time change by treating the speed of the sampling clock as the control, so that a uniform grid on the learned clock induces adaptive timesteps in the original diffusion time. Based on a leading-order Euler error surrogate, ART provides a principled objective for allocating timesteps along the sampling tra...
| Authors | Yilie Huang, Wenpin Tang, Xun Yu Zhou |
|---|---|
| Primary category | cs.LG |
| Published | 2 July 2026 |
| Last updated at source | 30 September 2026 |
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