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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning orbital dynamics of binary black hole systems from gravitational wave measurements · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2102.12695/</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/2102.12695/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning orbital dynamics of binary black hole systems from gravitational wave measurements — mentioned by ChrisRackauckas</title><link>https://news.ycombinator.com/item?id=29402658</link><guid isPermaLink="false">urn:hackerpapers:mention:2102.12695:29402658</guid><pubDate>Wed, 01 Dec 2021 11:08:21 GMT</pubDate><description>&lt;p&gt;&amp;gt;One of the domains where I hope Julia will excel is precisely as you comment on physics + ml (I check frequently if MuJoCo source code is available at last). Somebody already did a comparison of DifferentialEquations.jl&amp;#x27;s standard usage against MuJoCo and DiffTaichi and showed that it outperformed them by about 5x-10x. https://arxiv.org/abs/2012.06684 https://homes.cs.washington.edu/~thickstn/ctpg-project-page/... That&amp;#x27;s all showing the raw iteration count to show that it algorithmically is faster, but the time per iteration is also fast for many reasons showcased in the SciMLBenchmarks…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2102.12695/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>gr-qc</category></item></channel></rss>
