Jeffrey M. Ede

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

Collaborative distances:

• Dijkstra number of seven.
• Erdős number of seven.

2021

Adaptive partial scanning transmission electron microscopy with reinforcement learning.

Jeffrey M. Ede

Mach. Learn. Sci. Technol., 2021

Deep learning in electron microscopy.

Jeffrey M. Ede

Mach. Learn. Sci. Technol., 2021

Advances in Electron Microscopy with Deep Learning.

Jeffrey M. Ede

CoRR, 2021

2020

Adaptive learning rate clipping stabilizes learning.

Jeffrey M. Ede, Richard Beanland

Mach. Learn. Sci. Technol., 2020

Warwick electron microscopy datasets.

Jeffrey M. Ede

Mach. Learn. Sci. Technol., 2020

Review: Deep Learning in Electron Microscopy.

Jeffrey M. Ede

CoRR, 2020

Exit Wavefunction Reconstruction from Single Transmisson Electron Micrographs with Deep Learning.

Jeffrey M. Ede, Jonathan J. P. Peters, Jeremy Sloan, Richard Beanland

CoRR, 2020

2019

Deep Learning Supersampled Scanning Transmission Electron Microscopy.

Jeffrey M. Ede

CoRR, 2019

Partial Scan Electron Microscopy with Deep Learning.

Jeffrey M. Ede, Richard Beanland

CoRR, 2019

2018

Autoencoders, Kernels, and Multilayer Perceptrons for Electron Micrograph Restoration and Compression.

Jeffrey M. Ede

CoRR, 2018

Improving Electron Micrograph Signal-to-Noise with an Atrous Convolutional Encoder-Decoder.

Jeffrey M. Ede

CoRR, 2018