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<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>nzxhuong'log (Posts about generative-models)</title><link>https://nzxhuong.github.io/</link><description></description><atom:link href="https://nzxhuong.github.io/categories/generative-models.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Sat, 12 Apr 2025 19:08:45 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Variational Autoencoders</title><link>https://nzxhuong.github.io/posts/variational-autoencoders/</link><dc:creator>Ngo Truong</dc:creator><description>&lt;div&gt;&lt;p&gt;This is my learning note from &lt;a class="reference external" href="https://www.youtube.com/watch?v=FMuvUZXMzKM"&gt;L4 Latent Variable Models&lt;/a&gt; by Pieter Abbeel. The idea of being able to generate (potentially new) images, songs, or any data type you want with generative models always amazes me. And I just want to share my thoughts on it (mostly Latent Variable Models, LVMs).&lt;/p&gt;
&lt;p&gt;&lt;a href="https://nzxhuong.github.io/posts/variational-autoencoders/"&gt;Read more…&lt;/a&gt; (11 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>generative-models</category><category>mathjax</category><category>variational-autoencoders</category><guid>https://nzxhuong.github.io/posts/variational-autoencoders/</guid><pubDate>Sat, 12 Apr 2025 18:35:36 GMT</pubDate></item></channel></rss>