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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Residual Flows for Invertible Generative Modeling · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1906.02735/</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/1906.02735/feed.xml" rel="self" type="application/rss+xml" /><item><title>Residual Flows for Invertible Generative Modeling — mentioned by godelski</title><link>https://news.ycombinator.com/item?id=35808140</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.02735:35808140</guid><pubDate>Wed, 03 May 2023 21:38:43 GMT</pubDate><description>&lt;p&gt;(follow-up: Figured this should be a different comment) I wanted to demonstrate what I said above so I came up with some examples of things I think a human would have an easy time implementing but might be hard to implement. BUT a key part is that I expect these to be in the dataset! I just don&amp;#x27;t expect these to be in hundreds or thousands of githubs because they will be uncommon (but not rare). Also, we&amp;#x27;ll pretty much ask for few-liners to give the model the biggest advantage we can (errors will compound). Prompt: from torch import nn class LipSwish(nn.Module): &amp;quot;&amp;quot;&amp;quot;&amp;quot; The Swish activation…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.02735/"&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>
