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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Interpretable Mesomorphic Networks for Tabular Data · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2305.13072/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2305.13072/feed.xml" rel="self" type="application/rss+xml" /><item><title>Interpretable Mesomorphic Networks for Tabular Data — HN submission</title><link>https://news.ycombinator.com/item?id=36327042</link><guid isPermaLink="false">urn:hackerpapers:submission:2305.13072:36327042</guid><pubDate>Wed, 14 Jun 2023 15:02:31 GMT</pubDate><description>&lt;p&gt;The Best of Both Worlds: Unraveling Deep Networks with Unyielding Accuracy&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;5 points; 3 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2305.13072/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Interpretable Mesomorphic Networks for Tabular Data — HN submission</title><link>https://news.ycombinator.com/item?id=36225130</link><guid isPermaLink="false">urn:hackerpapers:submission:2305.13072:36225130</guid><pubDate>Wed, 07 Jun 2023 10:39:27 GMT</pubDate><description>&lt;p&gt;Free-Lunch Explainability for DL Architectures&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/2305.13072/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Interpretable Mesomorphic Networks for Tabular Data — HN submission</title><link>https://news.ycombinator.com/item?id=36196238</link><guid isPermaLink="false">urn:hackerpapers:submission:2305.13072:36196238</guid><pubDate>Mon, 05 Jun 2023 13:57:53 GMT</pubDate><description>&lt;p&gt;Towards Trustworthy AI: Explainable Neural Networks&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/2305.13072/"&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>
