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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1910.03193/</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/1910.03193/feed.xml" rel="self" type="application/rss+xml" /><item><title>DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators — mentioned by syadegari</title><link>https://news.ycombinator.com/item?id=26812200</link><guid isPermaLink="false">urn:hackerpapers:mention:1910.03193:26812200</guid><pubDate>Wed, 14 Apr 2021 19:54:52 GMT</pubDate><description>&lt;p&gt;Links to one of the papers: - https://arxiv.org/pdf/1910.03193.pdf - https://www.nature.com/articles/s42256-021-00302-5&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1910.03193/"&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>
