Posts

Sampling from a specific level set of a Gaussian

How to sample uniformly from a level set of a Gaussian
Last updated on Apr 18, 2024 2 min read

Measure Theory for ML, AI and Diffusion Models

Measure Theory for Machine Learning from Scratch
Last updated on Feb 21, 2024 46 min read

Assessing a Variational Autoencoder on MNIST using Pytorch

Learn how to visualize the latent space and generate data using a VAE in Pytorch.
Last updated on Oct 5, 2020 7 min read vae, pytorch, mnist

Minimalist Variational Autoencoder in Pytorch with CUDA GPU

Variational Autoencoders in Pytorch with CUDA GPU
Last updated on Oct 5, 2020 11 min read vae, pytorch, gpu

Variational Auto-Encoders and the Expectation-Maximization Algorithm

Relationship between Variational Autoencoders (VAE) and the Expectation Maximization Algorithm. Simple Explanation
Last updated on Jul 18, 2020 10 min read vae, variational-auto-encoders, variational-inference

Towards SMC: Using the Dirac-delta function in Sampling and Sequential Monte Carlo

We derive the Dirac-delta function, explain how to use to approximate an Empirical PDF for a sample.
Last updated on May 19, 2020 3 min read sampling, dirac-delta-funtion, dirac-delta-mass, importance-sampling, sequential-monte-carlo

Towards SMC: Sequential Importance Sampling

Sequential Importance Sampling intuition simply explained for SMC
Last updated on May 19, 2020 2 min read sequential-importance-sampling, sequential-monte-carlo, sequential-data

Towards SMC: Importance Sampling with Sequential Data

Importance Sampling tutorial for Sequential Data
Last updated on May 19, 2020 2 min read sequential-importance-sampling, sequential-monte-carlo, importance-sampling, sequential-data

Towards SMC: Importance Sampling Explained

Importance Sampling as a first step towards Sequential Monte Carlo (SMC)
Last updated on May 14, 2020 2 min read sampling, monte-carlo, importance-sampling, smc, sequential-monte-carlo, sequential-importance-sampling, bayesian-inference

Gaussian Expectation Propagation

Description of Expectation Propagation using Multivariate Normal factors for the global approximation.
Last updated on Feb 10, 2024 4 min read expectation-propagation