Davide Beltrame

Biased Generalization in Diffusion Models

Generalization in generative modelling is defined as the ability to learn an underlying distribution from a finite dataset and produce novel samples, with evaluation largely driven by held-out performance and perceived sample quality. In practice, training is often stopped at the minimum of the test…