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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gaussian Process Behaviour in Wide Deep Neural Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1804.11271/</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/1804.11271/feed.xml" rel="self" type="application/rss+xml" /><item><title>Gaussian Process Behaviour in Wide Deep Neural Networks — mentioned by medlyyy</title><link>https://news.ycombinator.com/item?id=26361718</link><guid isPermaLink="false">urn:hackerpapers:mention:1804.11271:26361718</guid><pubDate>Fri, 05 Mar 2021 20:34:58 GMT</pubDate><description>&lt;p&gt;I believe it&amp;#x27;s this: https://arxiv.org/abs/1711.00165 And then the NTK paper: https://arxiv.org/abs/1806.07572 There is also this which seems to have been produced in parallel, closely related to the first but not exactly the same: https://arxiv.org/abs/1804.11271&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1804.11271/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
