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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2401.04081/</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/2401.04081/feed.xml" rel="self" type="application/rss+xml" /><item><title>MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts — mentioned by intalentive</title><link>https://news.ycombinator.com/item?id=39487083</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.04081:39487083</guid><pubDate>Fri, 23 Feb 2024 22:41:23 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/2401.04081 https://github.com/jzhang38/LongMamba&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.04081/"&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>MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts — mentioned by f_devd</title><link>https://news.ycombinator.com/item?id=39048075</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.04081:39048075</guid><pubDate>Thu, 18 Jan 2024 21:33:58 GMT</pubDate><description>&lt;p&gt;You should check out MoE-Mamba (https://arxiv.org/abs/2401.04081), it&amp;#x27;s faster and more accurate than Transformer-MoE. Of course only time will tell if it&amp;#x27;s better when scaled up further than the paper goes.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.04081/"&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>MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts — HN submission</title><link>https://news.ycombinator.com/item?id=38932350</link><guid isPermaLink="false">urn:hackerpapers:submission:2401.04081:38932350</guid><pubDate>Tue, 09 Jan 2024 21:28:11 GMT</pubDate><description>&lt;p&gt;MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;129 points; 39 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2401.04081/"&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>MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts — HN submission</title><link>https://news.ycombinator.com/item?id=38921827</link><guid isPermaLink="false">urn:hackerpapers:submission:2401.04081:38921827</guid><pubDate>Tue, 09 Jan 2024 03:16:02 GMT</pubDate><description>&lt;p&gt;Moe-Mamba: Efficient Selective State Space Models with Mixture of Experts&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2401.04081/"&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>
