Posts

Sampling from a specific level set of a Gaussian

How to sample uniformly from a level set of a Gaussian

Measure Theory for ML, AI and Diffusion Models

Measure Theory for Machine Learning from Scratch

Holistic AI Workshop

On October 4th 2023, Roseline Polle (Responsible AI Auditor and Researcher at Holistic AI) and Sachin Beepath (AI Assurance Officer at …

Assessing a Variational Autoencoder on MNIST using Pytorch

Learn how to visualize the latent space and generate data using a VAE in Pytorch.

Minimalist Variational Autoencoder in Pytorch with CUDA GPU

Variational Autoencoders in Pytorch with CUDA GPU

Variational Auto-Encoders and the Expectation-Maximization Algorithm

Relationship between Variational Autoencoders (VAE) and the Expectation Maximization Algorithm. Simple Explanation

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.

Towards SMC: Sequential Importance Sampling

Sequential Importance Sampling intuition simply explained for SMC

Towards SMC: Importance Sampling with Sequential Data

Importance Sampling tutorial for Sequential Data

Towards SMC: Importance Sampling Explained

Importance Sampling as a first step towards Sequential Monte Carlo (SMC)