David J. Schodt

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 5

Top Topics

Variational Inference

Low Resolution Images

Top Venues

Frontiers Bioinform.

J. Open Source Softw.

Publications

David J. Schodt
Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities. CoRR (2024)
David J. Schodt, Ryan C. Brown, Michael Merritt, Samuel Park, Delsin Menolascino, Mark A. Peot
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties. CoRR (2024)
David J. Schodt, Michael J. Wester, Mohamadreza Fazel, Sajjad Khan, Hanieh Mazloom-Farsibaf, Sandeep Pallikkuth, Marjolein B. m. Meddens, Farzin Farzam, Eric A. Burns, William K. Kanagy, Derek A. Rinaldi, Elton Jhamba, Sheng Liu, Peter K. Relich, Mark J. Olah, Stanly L. Steinberg, Keith A. Lidke
SMITE: Single Molecule Imaging Toolbox Extraordinaire (MATLAB). J. Open Source Softw. 8 (90) (2023)
David J. Schodt, Keith A. Lidke
Spatiotemporal Clustering of Repeated Super-Resolution Localizations via Linear Assignment Problem. Frontiers Bioinform. 1 (2021)
David J. Schodt, Keith A. Lidke
Corrigendum: Spatiotemporal Clustering of Repeated Super-Resolution Localizations via Linear Assignment Problem. Frontiers Bioinform. 1 (2021)