About this document
Kaist Diffusion Fall 2025 Lecture 3 by hjlee0997 is a document available to read on EtoBox.
The document outlines the content of a lecture on Denoising Diffusion Probabilistic Models as part of the CS492C course at KAIST. It discusses various statistical concepts, including the mapping of latent distributions to data distributions using neural networks, and introduces generative models such as Variational Autoencoders (VAEs) and their limitations. The lecture also covers training methods for VAEs and the concept of Markovian hierarchical VAEs.
- Author
- hjlee0997
- Language
- EN