Michael C. Burkhart
Orcid: 0000-0002-2772-5840
According to our database1,
Michael C. Burkhart
authored at least 11 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on github.com
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on dl.acm.org
On csauthors.net:
Bibliography
2023
Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functions.
Optim. Lett., April, 2023
J. Comput. Sci., 2023
2022
Proceedings of the Computational Science - ICCS 2022, 2022
2021
Discriminative Bayesian Filtering for the Semi-supervised Augmentation of Sequential Observation Data.
Proceedings of the Computational Science - ICCS 2021, 2021
2020
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models.
Neural Comput., 2020
Proceedings of the Computational Science - ICCS 2020, 2020
2019
A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding. (Une approche discriminante du filtrage bayésien avec des applications au décodage neuronal humain).
PhD thesis, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
2018
Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression.
Neural Comput., 2018
A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding.
CoRR, 2018