A Brief Exploration of Variational Autoencoder (VAE) with Code Implementation

Learning variational autoencoder (VAE) by reading and analyzing the paper: “Auto-Encoding Variational Bayes”. This post will introduce the basic work of VAE, including the derivation of formulas and simple code verification.

February 12, 2024 · 6 min · 2600 words · Gavin Sun

A Brief Exploration of Diffusion Probabilistic Models with Code Implementation

Learning diffusion probabilistic models (DPM) by reading and analyzing the papers: “Deep Unsupervised Learning using Nonequilibrium Thermodynamics” and “Denoising Diffusion Probabilistic Models”. This post will introduce the basic work of DPM, including the derivation of formulas and simple code verification.

June 14, 2023 · 19 min · 3819 words · Gavin Sun