🤓 Blog posts
Foundations
Before Stochastic Differential Equations
When I first read Øksendal’s Stochastic Differential Equations, I kept having to backtrack to piece together various concepts. Here’s what I wish I...
Basics
Variational Autoencoders
Variational Autoencoders (VAEs) represent a fundamental breakthrough in generative modeling, combining the power of deep neural networks with princ...
Introduction to Generative Modeling
This blog provides a primer on generative modeling, summarizing introductory knowledge required before venturing into more advanced topics. It will...
Mathematical Derivation and Python Implementation of Principal Component Analysis
Dimensionality reduction is the transformation of data from a higher dimensional space to low-dimensional space, such that the information loss is ...