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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Identifying Exoplanets with Deep Learning: A Five Planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90 · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1712.05044/</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/1712.05044/feed.xml" rel="self" type="application/rss+xml" /><item><title>Identifying Exoplanets with Deep Learning: A Five Planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90 — mentioned by antognini</title><link>https://news.ycombinator.com/item?id=24288163</link><guid isPermaLink="false">urn:hackerpapers:mention:1712.05044:24288163</guid><pubDate>Wed, 26 Aug 2020 22:44:13 GMT</pubDate><description>&lt;p&gt;To be clear, there have been prior studies which have discovered exoplanets with machine learning. One example (cited in this paper) was from Chris Shallue at Google and Andrew Vanderberg at CfA, who discovered the first eight planet system in 2017 by training convolutional neural networks on light curve data. [1] The authors explain their contribution to be: &amp;gt; To date these [previous studies] have all focused on identifying [false positives] or ranking candidates within a survey. We build on past work by focusing on separating true planets from [false positives], rather than just planetary…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1712.05044/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>astro-ph.EP</category></item></channel></rss>
