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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2103.05244/</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/2103.05244/feed.xml" rel="self" type="application/rss+xml" /><item><title>ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling — mentioned by ChrisRackauckas</title><link>https://news.ycombinator.com/item?id=26426087</link><guid isPermaLink="false">urn:hackerpapers:mention:2103.05244:26426087</guid><pubDate>Thu, 11 Mar 2021 16:50:35 GMT</pubDate><description>&lt;p&gt;There are ways to surrogatize portions of a simulation, replacing large portions with ML-trained surrogates. There are already demonstrations in different domains (on highly stiff differential-algebraic equations) showing that you can get these kinds of speedups at around 99% accuracy. https://arxiv.org/abs/2010.04004 https://arxiv.org/abs/2103.05244&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2103.05244/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.MS</category></item></channel></rss>
