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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Emerging Convolutions for Generative Normalizing Flows · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1901.11137/</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/1901.11137/feed.xml" rel="self" type="application/rss+xml" /><item><title>Emerging Convolutions for Generative Normalizing Flows — mentioned by godelski</title><link>https://news.ycombinator.com/item?id=37685509</link><guid isPermaLink="false">urn:hackerpapers:mention:1901.11137:37685509</guid><pubDate>Thu, 28 Sep 2023 05:18:40 GMT</pubDate><description>&lt;p&gt;Is this code &amp;quot;open source?&amp;quot;[0] It is under a MIT license, has the training scripts, all the data is highly available, etc. But to the best of my knowledge no one has reproduced their results. These people sure couldn&amp;#x27;t[1] and I&amp;#x27;m not aware of any existing work which did. This honestly is quite common in ML and is quite frustrating as a researcher, especially when you get a round of reviewers who think benchmarks are the only thing that matters (I literally got a work rejected twice with a major complaint being about how my implementation didn&amp;#x27;t beat [0] despite it beating [1]. My paper wasn&amp;#x27;t…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1901.11137/"&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>
