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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Coordinate ascent neural Kalman-MLE for state estimation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2511.01855/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Thu, 05 Nov 2026 05:34:29 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2511.01855/feed.xml" rel="self" type="application/rss+xml" /><item><title>Coordinate ascent neural Kalman-MLE for state estimation — mentioned by 1-more</title><link>https://news.ycombinator.com/item?id=50368698</link><guid isPermaLink="false">urn:hackerpapers:mention:2511.01855:50368698</guid><pubDate>Wed, 04 Nov 2026 17:24:34 GMT</pubDate><description>&lt;p&gt;Yep. Having gotten better-than-most-beginners at a few things in life, the most apparent thing is that there are levels to everything and your best competition is yourself yesterday, because someone&amp;#x27;s always naturally better at whatever you&amp;#x27;re working hard at. Another one of these cats is Bettina &amp;quot;Betti&amp;quot; Hanlon who is working on her CS PhD and totals 572.5kg at 76kg in raw, drug-tested powerlifting with a lot of her career ahead of her in both CS and Powerlifting. https://arxiv.org/abs/2511.01855 https://www.openpowerlifting.org/u/bettinahanlon https://goodlift.info/lifter.php?lid=19928 And…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2511.01855/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
