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The Principles of Diffusion Models (arxiv.org)
168 points by Anon84 14 hours ago | hide | past | favorite | 18 comments




If you're more into videos, be sure to check out Stefano Ermon's CS236 Deep Generative Models [1]. All lectures are available on YouTube [2].

[1] https://deepgenerativemodels.github.io/

[2] https://m.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6ST...


I wish Stanford kept offering CS236 but they haven't run it for two years already :(

hn question: how is this not a dupe of my days old submission (https://news.ycombinator.com/item?id=45743810) ?

It is, but dupes are allowed in some cases:

“Are reposts ok?

If a story has not had significant attention in the last year or so, a small number of reposts is ok. Otherwise we bury reposts as duplicates.”

https://news.ycombinator.com/newsfaq.html

Also, from the guidelines: “Please don't post on HN to ask or tell us something. Send it to hn@ycombinator.com.”


in other words - "it is lol, also go pound sand"

That's not what I said, but okay.

CTRL-F: "Fokker-Planck"

> 97 matches

Ok I'll read it :)


why am I only getting 26 matches? where's the threshold then? :D

It's all about the en dashes and Fokker-Planck vs Fokker–Planck.

AI is definitely related to dashes!!

Reading this reinforces that a lot of what makes up current "AI" is brute forcing and not actually intelligent or thoughtful. Although I suppose our meat-minds could also be brute-forcing everything throughout our entire lives, and consciousness is like a chat prompt sitting on top of the machinery of the mind. But artificial intelligence will always be just as soulless and unfulfilling as artificial flavors.

Guessing you’re a physicist based on the name. You don’t think automatically doing RG flow in reverse has beauty to it?

There’s a lot of “force” in statistics, but that force relies on pretty deep structures and choices.


Intelligence is the manifold that these brute-force algorithms learn.

Of course we don’t brute-force this in our lifetime. Evolution encoded the coarse structure of the manifold over billions of years. And then encoded a hyper-compressed meta-learning algorithm into primates across millions of years.


Learning a manifold is not intelligence as it lacks the reasoning part.

Always is a long time. It may get better.

i m scared by the maths

Are you sure you're not scated?

470 pages?!?!?!? FML! :-D



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