Michael Burkhart's repositories
Mercurial-Signatures
We implement Delegatable Anonymous Credentials using Mercurial Signatures
Discriminative-Kalman-Filter
Code supplement for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"
Filtered-Stochastic-Newton
Code supplement for "Discriminative Bayesian Filtering Lends Momentum to the Stochastic Newton Method for Minimizing Log-Convex Functions"
burkh4rt.github.io
my website
DKF-defense-presentation
These slides were presented at my dissertation defense (Division of Applied Mathematics, Brown University, 23 May 2018).
DKF-dissertation
XeLaTeX for "A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding"
DKF-implementations
This repository contains code implementations for the Discriminative Kalman Filter.
Multimodal-Trajectory-Modeling
Code supplement for "Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction"
Unsupervised-Multimodal-Trajectory-Modeling
We use EM for a mixture of state space models to perform unsupervised clustering of short trajectories.
brown_kobe_exchange_2016
code for neural filtering project
felixity-the-cat.github.io
website for instagram purrsonality felixity_the_cat
Learning-Representations-Causal-Inference
Code supplement for "Neuroevolutionary representations for learning heterogeneous treatment effects"
cam-graphs
trains a simple graph neural network on bacs/biobank data
elizabeth-crites.github.io
@elizabeth-crites's Website
miracl-core
MIRACL Core
numpy
The fundamental package for scientific computing with Python.
scipy
SciPy library main repository
turing-learning-machines-drift
A Python package for monitoring dataset drift in secure environments