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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1708.01885/</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/1708.01885/feed.xml" rel="self" type="application/rss+xml" /><item><title>Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization — mentioned by cornel_io</title><link>https://news.ycombinator.com/item?id=26366987</link><guid isPermaLink="false">urn:hackerpapers:mention:1708.01885:26366987</guid><pubDate>Sat, 06 Mar 2021 12:39:12 GMT</pubDate><description>&lt;p&gt;How do you explain results like https://arxiv.org/abs/1708.01885, which uses LSTMs to do exactly what a Kalman filter would do except with less manual work?&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1708.01885/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
