<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>manifold learning | Orecchia Research Group</title><link>https://orecchia.net/tag/manifold-learning/</link><atom:link href="https://orecchia.net/tag/manifold-learning/index.xml" rel="self" type="application/rss+xml"/><description>manifold learning</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Thu, 09 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://orecchia.net/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png</url><title>manifold learning</title><link>https://orecchia.net/tag/manifold-learning/</link></image><item><title>Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning</title><link>https://orecchia.net/publication/rmrro-aistats26/</link><pubDate>Thu, 09 Apr 2026 00:00:00 +0000</pubDate><guid>https://orecchia.net/publication/rmrro-aistats26/</guid><description/></item></channel></rss>