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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Glow: Generative Flow with Invertible 1x1 Convolutions · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1807.03039/</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/1807.03039/feed.xml" rel="self" type="application/rss+xml" /><item><title>Glow: Generative Flow with Invertible 1x1 Convolutions — mentioned by cs702</title><link>https://news.ycombinator.com/item?id=18941178</link><guid isPermaLink="false">urn:hackerpapers:mention:1807.03039:18941178</guid><pubDate>Fri, 18 Jan 2019 17:53:05 GMT</pubDate><description>&lt;p&gt;Nice work. I can think of only two things that are missing: * Normalizing flows - e.g., https://arxiv.org/abs/1605.08803 , https://arxiv.org/abs/1807.03039 , among many others * ODEnets and continous normalizing flows - https://arxiv.org/abs/1806.07366&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1807.03039/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
