Submitted by wellfriedbeans t3_10r6qn0 in MachineLearning
schwagggg t1_j6x7eh7 wrote
i recently found a paper from Blei’s lab that use NF to learn klpq instead of klqp variational inferences (might be what the other commenter is referring to), but i’m afraid that’s not what u r interested in.
then apart from that the last SOTA i can remember was GLOW applied application wise.
OptimizedGarbage t1_j70ff2t wrote
Do you have a link for that? That sounds very relevant to what I'm working on
schwagggg t1_j70gicd wrote
https://arxiv.org/abs/2202.01841
the score climbing part comes from https://proceedings.neurips.cc/paper/2020/hash/b20706935de35bbe643733f856d9e5d6-Abstract.html
OptimizedGarbage t1_j70ovx4 wrote
Thanks!
jimmymvp t1_j7afxx4 wrote
You can perfectly well do the reverse KL with diffusion models, see here:
schwagggg t1_j7avvo1 wrote
hey thanks for the reference let me take a look.
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