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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>An analytic theory of creativity in convolutional diffusion models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2412.20292/</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/2412.20292/feed.xml" rel="self" type="application/rss+xml" /><item><title>An analytic theory of creativity in convolutional diffusion models — HN submission</title><link>https://news.ycombinator.com/item?id=44867222</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.20292:44867222</guid><pubDate>Mon, 11 Aug 2025 17:52:34 GMT</pubDate><description>&lt;p&gt;An analytic theory of creativity in convolutional diffusion models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2412.20292/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>An analytic theory of creativity in convolutional diffusion models — mentioned by yorwba</title><link>https://news.ycombinator.com/item?id=44597724</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.20292:44597724</guid><pubDate>Thu, 17 Jul 2025 20:20:33 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s more likely that such an architecture would be bigger rather than smaller. https://arxiv.org/abs/2412.20292 demonstrated that score-matching diffusion models approximate a process that combines patches from different training images. To build a model that makes use of this fact, all you need to do is look up the right patch in the training data. Of course a model the size of its training data would typically be rather unwieldy to use. If you want something smaller, we&amp;#x27;re back to approximations created by training the old-fashioned way.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.20292/"&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>An analytic theory of creativity in convolutional diffusion models — HN submission</title><link>https://news.ycombinator.com/item?id=44514568</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.20292:44514568</guid><pubDate>Wed, 09 Jul 2025 20:46:28 GMT</pubDate><description>&lt;p&gt;An analytic theory of creativity in convolutional diffusion models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;7 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2412.20292/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>An analytic theory of creativity in convolutional diffusion models — HN submission</title><link>https://news.ycombinator.com/item?id=44438166</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.20292:44438166</guid><pubDate>Tue, 01 Jul 2025 21:30:04 GMT</pubDate><description>&lt;p&gt;An analytic theory of creativity in convolutional diffusion models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2412.20292/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>An analytic theory of creativity in convolutional diffusion models — mentioned by Retr0id</title><link>https://news.ycombinator.com/item?id=44433189</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.20292:44433189</guid><pubDate>Tue, 01 Jul 2025 12:24:16 GMT</pubDate><description>&lt;p&gt;The paper: https://arxiv.org/pdf/2412.20292&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.20292/"&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>An analytic theory of creativity in convolutional diffusion models — HN submission</title><link>https://news.ycombinator.com/item?id=42609258</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.20292:42609258</guid><pubDate>Mon, 06 Jan 2025 10:12:56 GMT</pubDate><description>&lt;p&gt;An analytic theory of creativity in convolutional diffusion models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2412.20292/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
