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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1711.02282/</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/1711.02282/feed.xml" rel="self" type="application/rss+xml" /><item><title>Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net — mentioned by bmc7505</title><link>https://news.ycombinator.com/item?id=48282784</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.02282:48282784</guid><pubDate>Tue, 26 May 2026 17:22:03 GMT</pubDate><description>&lt;p&gt;This topic recently came up at the FLANN workshop [1], and seems to periodically be rediscovered [2,3,4] in different contexts. While some have speculated about the biological role it plays (e.g., Pearlmutter &amp;amp; Houghton [5]), we still lack a conclusive theory of sleep, but the convergent evolution of this specific phenomenon across the animal kingdom and the fact that deprivation is inevitably fatal seems like an important clue. [1]: https://flann.cs.yale.edu [2]: https://www.cs.toronto.edu/~hinton/csc2535/readings/ws.pdf [3]: https://arxiv.org/abs/1711.02282 [4]…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.02282/"&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>
