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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Importance Weighted Autoencoders · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1509.00519/</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/1509.00519/feed.xml" rel="self" type="application/rss+xml" /><item><title>Importance Weighted Autoencoders — mentioned by in-silico</title><link>https://news.ycombinator.com/item?id=49137171</link><guid isPermaLink="false">urn:hackerpapers:mention:1509.00519:49137171</guid><pubDate>Sat, 01 Aug 2026 18:45:47 GMT</pubDate><description>&lt;p&gt;The training method is very similar to Importance Weighted Autoencoders: https://arxiv.org/abs/1509.00519&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1509.00519/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Importance Weighted Autoencoders — HN submission</title><link>https://news.ycombinator.com/item?id=10166409</link><guid isPermaLink="false">urn:hackerpapers:submission:1509.00519:10166409</guid><pubDate>Thu, 03 Sep 2015 17:44:14 GMT</pubDate><description>&lt;p&gt;Importance Weighted Autoencoders&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/1509.00519/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
