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Jeffrey M. Ede

Orcid: 0000-0002-9358-5364

According to our database1, Jeffrey M. Ede authored at least 11 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of seven.
  • Erdős number3 of six.

Timeline

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Links

On csauthors.net:

Bibliography

2021
Adaptive partial scanning transmission electron microscopy with reinforcement learning.
[BibTeX]
[DOI]
Jeffrey M. Ede
Mach. Learn. Sci. Technol., 2021

Deep learning in electron microscopy.
[BibTeX]
[DOI]
Jeffrey M. Ede
Mach. Learn. Sci. Technol., 2021

Advances in Electron Microscopy with Deep Learning.
[BibTeX]
[DOI]
Jeffrey M. Ede
CoRR, 2021

2020
Adaptive learning rate clipping stabilizes learning.
[BibTeX]
[DOI]
Jeffrey M. Ede
,
Richard Beanland
Mach. Learn. Sci. Technol., 2020

Warwick electron microscopy datasets.
[BibTeX]
[DOI]
Jeffrey M. Ede
Mach. Learn. Sci. Technol., 2020

Review: Deep Learning in Electron Microscopy.
[BibTeX]
[DOI]
Jeffrey M. Ede
CoRR, 2020

Exit Wavefunction Reconstruction from Single Transmisson Electron Micrographs with Deep Learning.
[BibTeX]
[DOI]
Jeffrey M. Ede
,
Jonathan J. P. Peters
,
Jeremy Sloan
,
Richard Beanland
CoRR, 2020

2019
Deep Learning Supersampled Scanning Transmission Electron Microscopy.
[BibTeX]
[DOI]
Jeffrey M. Ede
CoRR, 2019

Partial Scan Electron Microscopy with Deep Learning.
[BibTeX]
[DOI]
Jeffrey M. Ede
,
Richard Beanland
CoRR, 2019

2018
Autoencoders, Kernels, and Multilayer Perceptrons for Electron Micrograph Restoration and Compression.
[BibTeX]
[DOI]
Jeffrey M. Ede
CoRR, 2018

Improving Electron Micrograph Signal-to-Noise with an Atrous Convolutional Encoder-Decoder.
[BibTeX]
[DOI]
Jeffrey M. Ede
CoRR, 2018


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