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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Diffusion-Based Neural Network Weights Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2402.18153/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Wed, 04 Nov 2026 05:35:47 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2402.18153/feed.xml" rel="self" type="application/rss+xml" /><item><title>Diffusion-Based Neural Network Weights Generation — mentioned by _bobm</title><link>https://news.ycombinator.com/item?id=50343628</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.18153:50343628</guid><pubDate>Mon, 02 Nov 2026 20:57:19 GMT</pubDate><description>&lt;p&gt;I think the subfield has been there for a long time. See a small section of papers on the topic of generating dynamic weights during inference, predicting weights from network architecture, and learning the distribution of previously trained network parameters, just to name a few keywords: Parameter Prediction for Unseen Deep Architectures [1] NeuroGen: Neural Network Parameter Generation via Large Language Models [2] Diffusion-Based Neural Network Weights Generation [3] The critical thing to me is that Astra is capable of doing it. I don&amp;#x27;t know if it was trained to do so. All this does not…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.18153/"&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>Diffusion-Based Neural Network Weights Generation — mentioned by space_fountain</title><link>https://news.ycombinator.com/item?id=50343565</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.18153:50343565</guid><pubDate>Mon, 02 Nov 2026 20:53:14 GMT</pubDate><description>&lt;p&gt;Research on using LLMs and diffusion models to directly predict weights have been going on for a bit now for example https://arxiv.org/pdf/2402.18153&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.18153/"&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>
