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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PFGM++: Unlocking the Potential of Physics-Inspired Generative Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2302.04265/</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/2302.04265/feed.xml" rel="self" type="application/rss+xml" /><item><title>PFGM++: Unlocking the Potential of Physics-Inspired Generative Models — mentioned by GaggiX</title><link>https://news.ycombinator.com/item?id=37573717</link><guid isPermaLink="false">urn:hackerpapers:mention:2302.04265:37573717</guid><pubDate>Tue, 19 Sep 2023 18:00:48 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/2302.04265 You can see some results in the paper.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2302.04265/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>PFGM++: Unlocking the Potential of Physics-Inspired Generative Models — mentioned by sroussey</title><link>https://news.ycombinator.com/item?id=37572962</link><guid isPermaLink="false">urn:hackerpapers:mention:2302.04265:37572962</guid><pubDate>Tue, 19 Sep 2023 17:07:01 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/2302.04265&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2302.04265/"&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>
