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stat.ML2026
Wasserstein bounds for denoising diffusion probabilistic models via the Föllmer process
Yuta Koike
This paper studies sampling error bounds for denoising diffusion probabilistic models (DDPMs) in the 2-Wasserstein distance. Our contributions are threefold. (i) Under general Lips…
stat.ML2026
Connections between the Föllmer process and the denoising diffusion probabilistic model
Yuta Koike
The Föllmer process is a Brownian motion conditioned to have a pre-specified distribution at time 1. This process can be interpreted as an ``augmented'' time-compressed version of…