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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning to Represent Programs with Property Signatures · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2002.09030/</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/2002.09030/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning to Represent Programs with Property Signatures — mentioned by tasdfqwer0897</title><link>https://news.ycombinator.com/item?id=23315314</link><guid isPermaLink="false">urn:hackerpapers:mention:2002.09030:23315314</guid><pubDate>Tue, 26 May 2020 19:17:32 GMT</pubDate><description>&lt;p&gt;We have been working on this recently on the Google Brain team. We are working both on synthesizing programs from scratch (see https://arxiv.org/abs/2002.09030 for example) and on understanding computer programs using machine learning (see e.g. https://arxiv.org/abs/1911.01205). I&amp;#x27;m always happy to correspond with people about these topics.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2002.09030/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item></channel></rss>
