Tutorial on HMC, which uses Hamiltonian dynamics to efficiently sample from high-dimensional distributions
Notes on the 2018 paper Adversarial Spheres, which shows how adversarial examples may be inevitable given an imperfect, high-dimensional classifier
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.