Deconstructing the discrete Fourier transform
2025-07-11
A visual and intuitive breakdown of the discrete Fourier transform and how it reveals hidden frequencies in a signal.
Fully Connected Sigmoid Networks
2025-01-23
In this article, I explore how autoregression, typically used in temporal or sequential data, can be applied to images.
Revisiting Variational Inference for Statististican
2022-02-27
In this blogpost, I'll extend the derivations of the Gaussian Mixture model of the paper in the hope to elucidate some of the steps over which the authors went quickly.
Fitting a Poisson mixture model using Expectation Maximisation
2021-12-31
In this Blogpost we will derive the equations required to fit Poisson mixture from scratch and implement the model using Python.
Config Enumerate in Pyro
2020-06-21
Understanding Pyro’s enumeration strategy for discrete latent variables.