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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2303.00848/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2303.00848/feed.xml" rel="self" type="application/rss+xml" /><item><title>Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation — mentioned by godelski</title><link>https://news.ycombinator.com/item?id=39674516</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.00848:39674516</guid><pubDate>Mon, 11 Mar 2024 23:49:33 GMT</pubDate><description>&lt;p&gt;They&amp;#x27;re famous for lots of equations, but truth be told, most diffusion researchers I know have the exact same response. A lot of people repeat the same exact equations and they only are there for review purposes. On the other hand, if you want to really dig in, I&amp;#x27;d suggest reading into works by Kingma, Gao, Ricky Tian Qi Chen, and honestly, any of Max Welling&amp;#x27;s students (Tomczak (was post doc), Hoogeboom, etc), and of course the unsung hero Aapo Hyvärinen. Here&amp;#x27;s a taste at a Kingma &amp;amp; Gao work that&amp;#x27;s on the lighter side but relevant to the SD3 paper. The unfortunate part is that there&amp;#x27;s a…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.00848/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
