<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SAE: Single Architecture Ensemble Neural Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2402.06580/</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/2402.06580/feed.xml" rel="self" type="application/rss+xml" /><item><title>SAE: Single Architecture Ensemble Neural Networks — mentioned by Reclaimer</title><link>https://news.ycombinator.com/item?id=39360003</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.06580:39360003</guid><pubDate>Tue, 13 Feb 2024 17:14:07 GMT</pubDate><description>&lt;p&gt;The next era of Robotics is here Announcing HRTX, a Hivemind Multi-Input and Multi-Output Transformer for Robotics. This can model can process inputs from any number of N robots and output any Z actions across any of those robots. This model can process input data from any number of robots and then pass them through one single and unified model trained on various hardware and tasks and provide various single or multi-outputs across the robots! Based on: https://arxiv.org/abs/2402.06580 and RTX We&amp;#x27;re actively training this model at Agora and need help with bugs and etc, join us and contribute…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.06580/"&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>
