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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Neural Kalman Filtering · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2102.10021/</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/2102.10021/feed.xml" rel="self" type="application/rss+xml" /><item><title>Neural Kalman Filtering — mentioned by scarmig</title><link>https://news.ycombinator.com/item?id=39351369</link><guid isPermaLink="false">urn:hackerpapers:mention:2102.10021:39351369</guid><pubDate>Mon, 12 Feb 2024 22:26:23 GMT</pubDate><description>&lt;p&gt;ML and Kalman filtering try to solve similar problems. Some theories even suggest that Kalman filtering (or a similar algorithm) provides a basis for neurobiological learning. See predictive coding (e.g. https://arxiv.org/pdf/2102.10021.pdf) (Why I&amp;#x27;m interested in it, at least.)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2102.10021/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item></channel></rss>
