Blog

Scaling HMC to larger data sets



In this blog post I will demonstrate how to use hamiltorch for inference in Bayesian neural networks with larger data sets. Further details can be found in “Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting”. hamiltorch for Bayesian neural networks Towards the end of my previous post I gave a basic... Read more 14 Oct 2020 - 19 minute read

hamiltorch: a PyTorch Python package for sampling



What is hamiltorch? hamiltorch is a Python package that uses Hamiltonian Monte Carlo (HMC) to sample from probability distributions. As HMC requires gradients within its formulation, we built hamiltorch with a PyTorch backend to take advantage of the available automatic differentiation. Since hamiltorch is based on PyTorch, we ensured that ha... Read more 15 Jul 2019 - 13 minute read

3D Shape Modelling of Asteroids



This article describes my summer at the NASA Frontier Development Lab. Machine Learning and Planetary Defence As a researcher at NASA Frontier Development Lab (FDL), I spent my summer working alongside a team of experts with the aim of using machine learning to improve the process of modelling the 3D shapes of asteroids. FDL is an experimental... Read more 11 Sep 2017 - 4 minute read