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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Latent Predictor Networks for Code Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1603.06744/</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/1603.06744/feed.xml" rel="self" type="application/rss+xml" /><item><title>Latent Predictor Networks for Code Generation — HN submission</title><link>https://news.ycombinator.com/item?id=13047259</link><guid isPermaLink="false">urn:hackerpapers:submission:1603.06744:13047259</guid><pubDate>Sun, 27 Nov 2016 01:50:32 GMT</pubDate><description>&lt;p&gt;Neural Networks to Generate Code for Collectible Card Games&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1603.06744/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Latent Predictor Networks for Code Generation — mentioned by transcranial</title><link>https://news.ycombinator.com/item?id=12095295</link><guid isPermaLink="false">urn:hackerpapers:mention:1603.06744:12095295</guid><pubDate>Thu, 14 Jul 2016 16:37:42 GMT</pubDate><description>&lt;p&gt;Yeah, there&amp;#x27;s no effort to direct or encode intent. It&amp;#x27;s just producing what it probabilistically wants to produce. If it happens to run...cool? Here&amp;#x27;s a interesting example from Google DeepMind learning to generate code for Magic The Gathering and Hearthstone: http://arxiv.org/pdf/1603.06744v2.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1603.06744/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
