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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Real-time Anomaly Detection at the L1 Trigger of CMS Experiment · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2411.19506/</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/2411.19506/feed.xml" rel="self" type="application/rss+xml" /><item><title>Real-time Anomaly Detection at the L1 Trigger of CMS Experiment — mentioned by intoXbox</title><link>https://news.ycombinator.com/item?id=47552919</link><guid isPermaLink="false">urn:hackerpapers:mention:2411.19506:47552919</guid><pubDate>Sat, 28 Mar 2026 09:11:29 GMT</pubDate><description>&lt;p&gt;They used a custom neural net with autoencoders, which contain convolutional layers. They trained it on previous experiment data. https://arxiv.org/html/2411.19506v1 Why is it so hard to elaborate what AI algorithm / technique they integrate? Would have made this article much better&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2411.19506/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>hep-ex</category></item><item><title>Real-time Anomaly Detection at the L1 Trigger of CMS Experiment — mentioned by LeoWattenberg</title><link>https://news.ycombinator.com/item?id=47552747</link><guid isPermaLink="false">urn:hackerpapers:mention:2411.19506:47552747</guid><pubDate>Sat, 28 Mar 2026 08:39:42 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s not an LLM, it is a purpose built model. https://arxiv.org/html/2411.19506v1 5 years ago we would&amp;#x27;ve called it a Machine Learning algorithm. 5 years before that, a Big Data algorithm.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2411.19506/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>hep-ex</category></item></channel></rss>
