<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Self-Supervised-Learning on Luka's blog</title><link>https://www.sugarz.me/tags/self-supervised-learning/</link><description>Recent content in Self-Supervised-Learning on Luka's blog</description><generator>Hugo -- gohugo.io</generator><language>en-gb</language><lastBuildDate>Fri, 24 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.sugarz.me/tags/self-supervised-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Porting V-JEPA 2.1 to MLX</title><link>https://www.sugarz.me/posts/porting_vjepa_to_mlx/</link><pubDate>Fri, 24 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.sugarz.me/posts/porting_vjepa_to_mlx/</guid><description>I ported the V-JEPA 2.1 encoder to MLX, verified output parity against the upstream PyTorch checkpoints, and benchmarked the result on Apple silicon.</description></item></channel></rss>