https://diffusionflow.github.io Diffusion Meets Flow Matching: Two Sides of the Same CoinRuiqi Gao, Emiel Hoogeboom, Jonathan Heek, Valentin De Bortoli, Kevin P. Murphy, Tim SalimansDec. 2, 2024 “Flow matching and diffusion
What I Read: Gaussians
https://gestalt.ink/gaussians Understanding Gaussians “The Gaussian distribution, or normal distribution is a key subject in statistics, machine learning, physics, and pretty much any other field that deals with data and probability.”
What I Read: Unit Disk Sampling
https://towardsdatascience.com/unit-disk-uniform-sampling-91880f3740fa?gi=4b73b464a4d0 Unit Disk Uniform SamplingThomas RouchSep 16, 2024 “Discover the optimal transformations to apply on the standard [0,1] uniform random generator for uniformly sampling a 2D disk”
What I Read: Diffusion models, new theoretical perspective
https://www.chenyang.co/diffusion.html Diffusion models from scratch, from a new theoretical perspectiveChenyang Yuan2023 “This tutorial aims to introduce diffusion models from an optimization perspective…”