David J. Schodt

Orcid: 0000-0002-8986-2736

According to our database1, David J. Schodt authored at least 5 papers between 2021 and 2024.

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Bibliography

2024
Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities.
CoRR, 2024

A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties.
CoRR, 2024

2023
SMITE: Single Molecule Imaging Toolbox Extraordinaire (MATLAB).
J. Open Source Softw., October, 2023

2021
Corrigendum: Spatiotemporal Clustering of Repeated Super-Resolution Localizations via Linear Assignment Problem.
Frontiers Bioinform., 2021

Spatiotemporal Clustering of Repeated Super-Resolution Localizations via Linear Assignment Problem.
Frontiers Bioinform., 2021


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