The denoising diffusion probabilistic models (DDPM) paradigm demystified
Published:
This post is aimed at those who want to understand the mathematical framework of denoising diffusion probabilistic model and its implementation in deep learning.
Blog posts
2023
2022
What about the conditional variational autoencoder?
Published:
In this post I explain the mathematics behind conditional variational autoencoders and the differences with conventional variational autoencoders.
The variational autoencoder paradigm demystified
Published:
This post is aimed at those who want to understand the mathematical framework of variational autoencoders and its implementation in deep learning.
The beauty of contrastive learning: a new step toward efficient unsupervised learning
Published:
The aim of this post is to present the key stages/concepts of contrastive learning.
The transformer paradigm demystified
Published:
Are you interested in understanding the mathematics that underlie the transformer? If so, this post is tailored for you!