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?

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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?

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[deleted] t1_j5x0kfl wrote

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debrises OP t1_j5y1jn4 wrote

Thanks for the suggestion, but I don't think legal will approve. It's medical data.

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veb101 t1_j5xjuy0 wrote

I'm also starting a similar project, but it just involves writing DDPM from scratch. In the past few days I saw some papers regarding diffusion in the medical domain, maybe you can skim through that and see how they are used in that domain.

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