Documentation Index
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Latent Transport Models

Overview

Mixture of Gaussians

Latent Variable Models
EM Algorithm
EM for MoG Example

Variational Autoencoders

Introduction
Generator Example
Monte Carlo Sampling
MNIST Manifold
Architecture
Optimization

Diffusion Models

Introduction
DDPM
DDPM MoG Example
Brownian Motion
Draft
DDIM MoG Example
Score-based methods
Draft
Score MoG Example

Probability Transport Models

Velocity fields
DRAFT
Flow matching
DRAFT

Mixture of Gaussians

The Expectation-Maximization (EM) Algorithm

The expectation-maximization algorithm.

See in-person class notes for details. These notes will make it here during Summer 2025.

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Latent Variable Models

EM for mixture of Gaussians

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