<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Diffusion on Xu'Blog</title><link>https://xuquant.com/zh/tags/diffusion/</link><description>Recent content in Diffusion on Xu'Blog</description><image><title>Xu'Blog</title><url>https://xuquant.com/images/profile.jpg</url><link>https://xuquant.com/images/profile.jpg</link></image><generator>Hugo -- 0.152.2</generator><language>zh</language><lastBuildDate>Sat, 15 Mar 2025 10:00:00 +0800</lastBuildDate><atom:link href="https://xuquant.com/zh/tags/diffusion/index.xml" rel="self" type="application/rss+xml"/><item><title>Why Generative Planning? The Non-Convexity Argument Against Regression in Autonomous Driving</title><link>https://xuquant.com/zh/posts/autodrive/generative-planning-nonconvex/</link><pubDate>Sat, 15 Mar 2025 10:00:00 +0800</pubDate><guid>https://xuquant.com/zh/posts/autodrive/generative-planning-nonconvex/</guid><description>从第一性原理分析回归式规划器在自动驾驶中失败的原因：可行域是非凸的，MSE 将模式平均到障碍物上，GMM 是补丁而非解决方案，生成式方法是必要的。</description></item></channel></rss>