4 ms·
Not being completely fluent in the ML space, I'm not completely clear on the applicability of this technique. Broadly, is this useful for determining the alrea
by MPSimmons 5y ago
Not being completely fluent in the ML space, I'm not completely clear on the applicability of this technique.
Broadly, is this useful for determining the already-diffused pattern of data and determining the original inputs, or determining the diffused output without needing to iterate fully and produce the result manually, or both, or am I completely off?
- eutectic 5y agoThey are a way of training generative models similar to GANs or autoencoders. My understanding is that if you train an autoencoder with a gaussian likelihood then you will tend to get fuzzy samples, but using an iterative process where each step is a gaussian conditioned on the previous step can give you nicer samples.