▶︎
CS 182: Lecture 18: Part 2: Latent Variable Models
▶︎
CS 182: Lecture 18: Part 3: Latent Variable Models
▶︎
Variational Inference: Foundations and Modern Methods (NIPS 2016 tutorial)
▶︎
(ML 16.6) Gaussian mixture model (Mixture of Gaussians)
▶︎
Stanford CS330 I Variational Inference and Generative Models l 2022 I Lecture 11
▶︎
Understanding Latent Variables in 4 min
▶︎
What is a latent variable?
▶︎
Neil deGrasse Tyson: The Whistleblowers Are Telling The Truth About Aliens!
▶︎
CS 182: Lecture 17: Part 1: Generative Models
▶︎
Variational Autoencoder - Model, ELBO, loss function and maths explained easily!
▶︎
L4 Latent Variable Models and Variational AutoEncoders -- CS294-158 SP24 Deep Unsupervised Learning
▶︎
Dave Blei: "Black Box Variational Inference"
▶︎