Blog
Tutorial posts on physics, machine learning, and related topics
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Intro to Sampling using Hamiltonian Monte-Carlo
Tutorial on HMC, which uses Hamiltonian dynamics to efficiently sample from high-dimensional distributions
Reading Group: Adversarial Spheres
Notes on the 2018 paper Adversarial Spheres, which shows how adversarial examples may be inevitable given an imperfect, high-dimensional classifier
Random matrix theory via undergrad physics
Uses basic results from undergraduate quantum and statistical mechanics classes to explore the Gaussian Orthogonal Ensemble, one of the canonical probability distributions studied in random matrix theory.
Properties of Haar-Random Quantum States
A tutorial notebook written for fellow experimentalists in quantum information to explore some properties of random quantum states.
