Sampling and diffusion models
Group meeting slides and reading materials on score-based models, inverse problems, and sampling theory (2024).
Contents / 目录
This page collects my group meeting slides and reading materials on sampling and diffusion models from August to December 2024.
Score-based generative modeling: SMLD and SDE
August 2024 · Group meeting presentation
A reading presentation on Yang Song’s Generative Modeling by Estimating Gradients of the Data Distribution and Score-Based Generative Modeling through Stochastic Differential Equations, covering score-based generative models and their SDE formulation.
Score-based variational inference for inverse problems
September 2024 · Group meeting presentation
Reading material for Score-Based Variational Inference for Inverse Problems, on the use of diffusion models in inverse problems.
Sampling theory with minimal data assumptions
December 2024 · Group meeting presentation
A presentation of Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions, focusing on convergence guarantees for diffusion-model sampling.
Related study notes
For background on Bayesian inference and sampling, see Bayesian signal processing.