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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Use of Deep Learning for Symbolic Integration: A Review of (Lample and Charton, 2019) · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1912.05752/</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/1912.05752/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Use of Deep Learning for Symbolic Integration: A Review of (Lample and Charton, 2019) — mentioned by microtherion</title><link>https://news.ycombinator.com/item?id=23315775</link><guid isPermaLink="false">urn:hackerpapers:mention:1912.05752:23315775</guid><pubDate>Tue, 26 May 2020 20:02:22 GMT</pubDate><description>&lt;p&gt;Here&amp;#x27;s a somewhat more technical critique of the approach (and of the evaluation cases the authors used): https://arxiv.org/pdf/1912.05752.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1912.05752/"&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>
