<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>几何深度学习 on Text Matrix</title><link>https://txtmix.com/tags/%E5%87%A0%E4%BD%95%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/</link><description>Recent content in 几何深度学习 on Text Matrix</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 23 May 2026 08:55:34 +0800</lastBuildDate><atom:link href="https://txtmix.com/tags/%E5%87%A0%E4%BD%95%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/index.xml" rel="self" type="application/rss+xml"/><item><title>AGI 的数学基础到底是什么：从流形假设、对称性到信息几何</title><link>https://txtmix.com/posts/tech/mathematical-foundations-deep-learning-agi-chern-simons/</link><pubDate>Thu, 23 Apr 2026 23:10:00 +0800</pubDate><guid>https://txtmix.com/posts/tech/mathematical-foundations-deep-learning-agi-chern-simons/</guid><description>本文受 Wayland Zhang 同题博客与 B 站视频启发，结合 Neural ODE、几何深度学习、信息几何等文献，重新划清哪些数学视角已经进入深度学习主线，哪些仍属于结构类比或研究假说。</description></item></channel></rss>