Variational Autoencoders and Maximum Likelihood Estimation
In my previous blog, we explored maximum likelihood estimation (MLE) and how it can be used to derive commonly used loss functions. It also turns out that MLE is widely being used in generative models like Variational Autoencoders (VAE) and Diffusion models (DDPM). In this blog, we will explore how the loss function of Variational Autoencoders are derived. VAEs are latent variable generative models. They can solve a few tasks:...