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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Exponential expressivity in deep neural networks through transient chaos · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1606.05340/</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/1606.05340/feed.xml" rel="self" type="application/rss+xml" /><item><title>Exponential expressivity in deep neural networks through transient chaos — HN submission</title><link>https://news.ycombinator.com/item?id=19085972</link><guid isPermaLink="false">urn:hackerpapers:submission:1606.05340:19085972</guid><pubDate>Tue, 05 Feb 2019 15:15:41 GMT</pubDate><description>&lt;p&gt;Exponential expressivity in deep neural networks through transient chaos (2016)&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/1606.05340/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>Exponential expressivity in deep neural networks through transient chaos — mentioned by andbberger</title><link>https://news.ycombinator.com/item?id=19071968</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.05340:19071968</guid><pubDate>Sun, 03 Feb 2019 20:27:17 GMT</pubDate><description>&lt;p&gt;See also: https://arxiv.org/abs/1606.05340&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.05340/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>Exponential expressivity in deep neural networks through transient chaos — HN submission</title><link>https://news.ycombinator.com/item?id=12083798</link><guid isPermaLink="false">urn:hackerpapers:submission:1606.05340:12083798</guid><pubDate>Wed, 13 Jul 2016 03:54:49 GMT</pubDate><description>&lt;p&gt;Deep neural network expressivity as a consequence of Riemann curvature and chaos&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/1606.05340/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>Exponential expressivity in deep neural networks through transient chaos — HN submission</title><link>https://news.ycombinator.com/item?id=12059753</link><guid isPermaLink="false">urn:hackerpapers:submission:1606.05340:12059753</guid><pubDate>Sat, 09 Jul 2016 02:07:46 GMT</pubDate><description>&lt;p&gt;Exponential expressivity in deep neural networks through transient chaos&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/1606.05340/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
