Archive
2021
| · | Publication · Learning Contact Dynamics using Physically Structured Neural Networks |
2020
| · | Publication · Pathwise Conditioning of Gaussian Processes | |
| · | Publication · Matérn Gaussian Processes on Graphs | |
| · | Publication · Matérn Gaussian Processes on Riemannian Manifolds | |
| · | Publication · Efficiently Sampling Functions from Gaussian Process Posteriors | |
| · | Publication · Aligning Time Series on Incomparable Spaces | |
| · | Publication · Variational Integrator Networks for Physically Structured Embeddings | |
| · | Publication · Asynchronous Gibbs Sampling |
2019
| · | Blog · Modern reference management using BibLaTeX | |
| · | Blog · How to show that a Markov chain converges quickly | |
| · | Publication · Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models | |
| · | Publication · Pólya Urn Latent Dirichlet Allocation | |
| · | Blog · Some macros for making TeX source more readable |
2018
| · | Blog · Building this website | |
| · | Blog · How to use R packages such as ggplot in Julia | |
| · | Blog · What does it really mean to be Bayesian? |
2017
| · | Blog · What does it mean to be Bayesian? | |
| · | Blog · Deep Learning with function spaces | |
| · | Blog · Bayesian Learning - by example |
2013
| · | Undergraduate Research Poster · SHAPE |