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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cellular automata as convolutional neural networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1809.02942/</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/1809.02942/feed.xml" rel="self" type="application/rss+xml" /><item><title>Cellular automata as convolutional neural networks — mentioned by friedchips</title><link>https://news.ycombinator.com/item?id=45025259</link><guid isPermaLink="false">urn:hackerpapers:mention:1809.02942:45025259</guid><pubDate>Tue, 26 Aug 2025 11:53:28 GMT</pubDate><description>&lt;p&gt;Yep, see my comment above and especially http://arxiv.org/abs/1809.02942&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1809.02942/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>nlin.CG</category></item><item><title>Cellular automata as convolutional neural networks — mentioned by friedchips</title><link>https://news.ycombinator.com/item?id=45025249</link><guid isPermaLink="false">urn:hackerpapers:mention:1809.02942:45025249</guid><pubDate>Tue, 26 Aug 2025 11:51:32 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m not involved in this project, but I partially replicated the results from Mordvintsev et al. a few years ago because I found the idea interesting. The key idea for me was learning the possibly unknown rules of a CA from training examples. This sounded to me like something that could be useful in science, to learn about spatially distributed processes. Or in ML as a new idea for image classification or segmentation. The hope was always that a CA could be learned which would have a simple discrete representation which could then be used in inference with much lower computational needs than…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1809.02942/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>nlin.CG</category></item><item><title>Cellular automata as convolutional neural networks — HN submission</title><link>https://news.ycombinator.com/item?id=24130849</link><guid isPermaLink="false">urn:hackerpapers:submission:1809.02942:24130849</guid><pubDate>Wed, 12 Aug 2020 11:23:02 GMT</pubDate><description>&lt;p&gt;Cellular Automata as Convolutional Neural Networks&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;87 points; 14 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1809.02942/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>nlin.CG</category></item><item><title>Cellular automata as convolutional neural networks — HN submission</title><link>https://news.ycombinator.com/item?id=18108236</link><guid isPermaLink="false">urn:hackerpapers:submission:1809.02942:18108236</guid><pubDate>Sun, 30 Sep 2018 20:31:45 GMT</pubDate><description>&lt;p&gt;Cellular automata as convolutional neural networks&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;83 points; 6 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1809.02942/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>nlin.CG</category></item></channel></rss>
