Variational Autoencoder

An autoencoder that differs from others (with deterministic encoder) by mapping each input $\mathbf{x}$ to a distribution over the possible values of the latent representation $\mathbf{z}$ from which $\mathbf{x}$ could have been generated. ...

April 30, 2024 · 5 min · Trung H. Nguyen

Graph Representation Learning

April 16, 2024 · 9 min · Trung H. Nguyen

GAN

Notes on Generative Adversarial Networks. ...

May 1, 2023 · 9 min · Trung H. Nguyen

Read-through: Probabilistic Graphical Models - Learning

February 19, 2023 · 16 min · Trung H. Nguyen

Read-through: Probabilistic Graphical Models - Inference

February 2, 2023 · 27 min · Trung H. Nguyen

Categorical Reparameterization with Gumbel-Softmax & Concrete Distribution

Notes on using Gumbel-Softmax & Concrete Distribution in Categorical sampling ...

January 2, 2023 · 9 min · Trung H. Nguyen

Read-through: Probabilistic Graphical Models - Representation

December 10, 2022 · 44 min · Trung H. Nguyen