Michael C. Burkhart

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authored 2 papers 21 days ago

Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation models

Paper • 2507.22798 • Published 28 days ago

Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs

Paper • 2508.01521 • Published 25 days ago

authored a paper 4 months ago

Actions of nilpotent groups on nilpotent groups

Paper • 2501.16941 • Published Jan 26

authored 6 papers about 1 year ago

A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding

Paper • 1807.06173 • Published Jul 17, 2018

Neuroevolutionary Feature Representations for Causal Inference

Paper • 2205.10541 • Published May 21, 2022

Deep Low-Density Separation for Semi-Supervised Classification

Paper • 2205.11995 • Published May 22, 2022

Safe AI for health and beyond -- Monitoring to transform a health service

Paper • 2303.01513 • Published Mar 2, 2023

Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functions

Paper • 2104.12949 • Published Apr 27, 2021

Fixed point conditions for non-coprime actions

Paper • 2308.12286 • Published Aug 23, 2023