burkh4rt

burkh4rt.github.io

my website

Discriminative-Kalman-Filter

Code supplement for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"

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.

Filtered-Stochastic-Newton

Code supplement for "Discriminative Bayesian Filtering Lends Momentum to the Stochastic Newton Method for Minimizing Log-Convex Functions"

Learning-Representations-Causal-Inference

Code supplement for "Neuroevolutionary representations for learning heterogeneous treatment effects"

Mercurial-Signatures

We implement Delegatable Anonymous Credentials using Mercurial Signatures

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.

burkh4rt/Mercurial-Signatures

We implement Delegatable Anonymous Credentials using Mercurial Signatures

burkh4rt/Discriminative-Kalman-Filter

Code supplement for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"

burkh4rt/Filtered-Stochastic-Newton

Code supplement for "Discriminative Bayesian Filtering Lends Momentum to the Stochastic Newton Method for Minimizing Log-Convex Functions"

burkh4rt/Multimodal-Trajectory-Modeling

Code supplement for "Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction"

burkh4rt/burkh4rt.github.io

my website

burkh4rt/DKF-defense-presentation

These slides were presented at my dissertation defense (Division of Applied Mathematics, Brown University, 23 May 2018).

burkh4rt/DKF-dissertation

XeLaTeX for "A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding"

burkh4rt/DKF-implementations

This repository contains code implementations for the Discriminative Kalman Filter.

burkh4rt/Unsupervised-Multimodal-Trajectory-Modeling

We use EM for a mixture of state space models to perform unsupervised clustering of short trajectories.

burkh4rt/Unsupervised-Trajectory-Clustering-Starter

burkh4rt/brown_kobe_exchange_2016

code for neural filtering project

burkh4rt/felixity-the-cat.github.io

website for instagram purrsonality felixity_the_cat

burkh4rt/Learning-Representations-Causal-Inference

Code supplement for "Neuroevolutionary representations for learning heterogeneous treatment effects"

burkh4rt/burkh4rt

burkh4rt/cam-graphs

trains a simple graph neural network on bacs/biobank data

burkh4rt/dioptra

Test Software for the Characterization of AI Technologies

burkh4rt/elizabeth-crites.github.io

@elizabeth-crites's Website

burkh4rt/ethos-paper

burkh4rt/miracl-core

MIRACL Core

burkh4rt/numpy

The fundamental package for scientific computing with Python.

burkh4rt/scipy

SciPy library main repository

burkh4rt/turing-learning-machines-drift

A Python package for monitoring dataset drift in secure environments