Mapping high-dimensional Bayesian optimization using small molecules
June 21, 2024
Starting a map of high-dimensional Bayesian optimization (of discrete sequences) using small molecules as a guiding example
Blog
Do Gaussian Processes scale well with dimension?
March 16, 2024
This blogpost implements a small experiment to check when and how Gaussian Processes fail in high dimensions, and explains recent research on the subject.
Bayesian Optimization using Gaussian Processes: an introduction
July 31, 2023
An introduction to Bayesian optimization using Gaussian Processes.
Training a VAE on Super Mario Bros and playing its levels
May 23, 2022
Representing levels from Super Mario Bros as strings, and learning a continuous representation using Variational Autoencoders.
On Stuttering
December 24, 2020
An essay on stuttering, my experience, and a little bit about the neuroscience behind it.
Translating measure theory into probability
December 15, 2020
a Rosetta stone, showing how basic concepts in measure theory (e.g. a measurable functions) correspond to concepts in probability theory (e.g. random variables).
Creating Priors using Normal Noise
January 15, 2020
In this blogpost I share a technique to generate random priors from Gaussian noise (by having the noise model the slope/curvature of the prior).
Creating a random graph from a string
October 25, 2019
Generating random graphs using strings to seed the number generators.
A Link to my MSc Thesis
October 6, 2019
I recently defended my MSc thesis on applications of imitation learning to StarCraft 2. Here is a link to it.
A tutorial on sc2reader: events and units
September 3, 2018
The package sc2reader is useful for extracting data from replays of StarCraft 2. This blogpost provides a small tutorial on how to use it.