Generative Models & PGMs
Latent variable models, probabilistic graphical models, and the generative modeling framework.
EM Algorithm
Expectation-maximization for maximum likelihood estimation in latent variable models.
Gaussian Mixtures
EM applied to mixture of Gaussians for density estimation and clustering.
VAE Introduction
Variational inference, calculus of variations, and the deep latent variable modeling problem.
VAE Architecture
Encoder-decoder architecture, amortized inference, and the ELBO derivation.
Diffusion Models
Denoising diffusion and stable diffusion tutorial.