cs.LG, math.PR, stat.ML

On the Limits of Latent Reuse in Diffusion Models

arXiv:2605.13448v1 Announce Type: new
Abstract: Diffusion models are often trained in low-dimensional latent spaces, which are then reused for related but shifted datasets. In this work, we study when such latent reuse remains reliable under distribut…