Submitted by debrises t3_10leaq9 in MachineLearning
I'm about to start an experimental project that involves training a denoising diffusion model on the medical data (small dataset).
Could you please share useful resources, tips, tricks and heuristics for dealing with diffusion models?
zaptrem t1_j5xacgt wrote
Try to get your data as close as possible to a normal distribution with a low variance. What type of data?