Wasserstein geometry = quotient geometry of permutation invariance. In this blog, I explain why this is the natural language for exchangeable particles—and why mean-field neural network training shows up as a W2 gradient flow. mufan-li.github.io/OT2/

Introduce yourself with five concerts you’ve seen Linkin Park Dream Theater X-Japan Lamb of God Rivers of Nihil

People should write more blog posts. I have been pleasantly surprised over and over again by how much people found them beneficial, when I just wanted to share some cool math.

Starter packs are helpful as well as the twitter import tool chromewebstore.google.com/detail/sky-f...

Since I'm moving over, I would like to reshare my most recent blog post on why you should learn Optimal Transport. Part 2 is coming, most likely during the winter break :) mufan-li.github.io/OT1/

Great writeup: meaningness.com/sad-light-le...