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I finally released my new video on YouTube about Diffusion Models / Score-Based Generative Models. Literally planned this for a year and put so much work in. I think this approach to diffusion models is so intuitive and highly recommend giving that a go! Video is 38min long, so... show more

dome | Outlier

3,060 subscribers

54,560 Aufrufe • vor 1 Jahr •via X (Twitter)

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10 Kommentare

Profilbild von 1LittleCoder💻

1LittleCoder💻vor 1 Jahr

That's a crazy timeline. Respect!

Profilbild von dome | Outlier

dome | Outliervor 1 Jahr

Thank you haha

Profilbild von Robin Rombach

Robin Rombachvor 1 Jahr

Nice, richtig gut 😍

Profilbild von dome | Outlier

dome | Outliervor 1 Jahr

Nächstes video dann über Flow Matching. Ich werd auf dich zurückkommen mit paar Fragen :c

Profilbild von Ryan Tabrizi

Ryan Tabrizivor 1 Jahr

Learned a lot following your derivations. Thanks!

Profilbild von dome | Outlier

dome | Outliervor 1 Jahr

So awesome to hear. One small addition, the solution to this is not just Sliced Score Matching. It‘s what Pascal Vincent came up with when he combined Score Matching & Denoising Autoencoders -> Denoising Score Matching So basically two solutions to this problem, and mostly DSM is used :) Super happy the video was helpful

Profilbild von Ariel N. Lee

Ariel N. Leevor 1 Jahr

This is awesome

Profilbild von Ashutosh Narang

Ashutosh Narangvor 1 Jahr

@jeremyphoward Watching it today, thank you

Profilbild von The Variational Book

The Variational Bookvor 1 Jahr

@dome_271 looks great, what did you use to make the video? Seems like would be right up your alley

Profilbild von dome | Outlier

dome | Outliervor 1 Jahr

Manim and Premiere Pro :c

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