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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2503.18385/</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/2503.18385/feed.xml" rel="self" type="application/rss+xml" /><item><title>RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data — mentioned by wizzerking</title><link>https://news.ycombinator.com/item?id=43616509</link><guid isPermaLink="false">urn:hackerpapers:mention:2503.18385:43616509</guid><pubDate>Mon, 07 Apr 2025 22:10:46 GMT</pubDate><description>&lt;p&gt;A simple search of arxiv using the search terms time series anomaly detection http [rovides 64 results like https://arxiv.org/abs/2503.18385 That provudes source I am sure papers with code wouls also provide similar resu;ts In the words of G.I. Joe &amp;quot;Knowing is half the battle&amp;quot;&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2503.18385/"&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>
