Don't be confused by the title, diffusion here is not referring to diffusion as we use it today

in context of image generation process, but more about modelling diffusive processes (like virus spread)

This paper answers the question about 'how much data do we need, before we can figure out the final affected value'

turns out this is a lot more thant people expect.

Read full paper: https://arxiv.org/abs/2006.06373

Tags: Generative Models, Machine Learning, Deep Learning