The Library
Browse by Warwick Author
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Number of items: 22.
2021
Ede, Jeffrey M. (2021) Advances in electron microscopy with deep learning. PhD thesis, University of Warwick.
2020
Ede, Jeffrey M. (2020) Adaptive partial scanning transmission electron microscopy with reinforcement learning. Working Paper. Cornell University: arXiv. (Submitted)
Ede, Jeffrey M. (2020) Review : Deep learning in electron microscopy. Working Paper. Cornell University: arXiv. (Unpublished)
Ede, Jeffrey M. (2020) Warwick electron microscopy Datasets. Machine Learning : Science and Technology, 1 (4). 045003. doi:10.1088/2632-2153/ab9c3c ISSN 2632-2153.
Ede, Jeffrey M. and Beanland, Richard (2020) Partial scanning transmission electron microscopy with deep learning. Scientific Reports, 10 . 8332. doi:10.1038/s41598-020-65261-0 ISSN 2045-2322.
Ede, Jeffrey M. and Beanland, Richard (2020) Adaptive learning rate clipping stabilizes learning. Machine Learning : Science and Technology, 1 (1). 015011. doi:10.1088/2632-2153/ab81e2 ISSN 2632-2153.
Ede, Jeffrey M., Peters, Jonathan J. P., Sloan, Jeremy and Beanland, Richard (2020) Exit Wavefunction Reconstruction from Single Transmission Electron Micrographs with Deep Learning [pre-print]. Working Paper. arXiv. (Unpublished)
Ede, Jeffrey M. (2020) Miscellaneous Code. [Online]. (https://github.com/Jeffrey-Ede/AI-CV-Automation-El...). Coventry, UK: Department of Physics ; University of Warwick.
Ede, Jeffrey M. (2020) Warwick electron microscopy datasets [preprint]. Working Paper. arXiv. (Unpublished)
2019
Ede, Jeffrey M. and Beanland, Richard (2019) Improving electron micrograph signal-to-noise with an atrous convolutional encoder-decoder. Ultramicroscopy, 202 . pp. 18-25. doi:10.1016/j.ultramic.2019.03.017 ISSN 03043991.
Ede, Jeffrey M. and Beanland, Richard (2019) Adaptive Learning Rate Clipping Stabilizes Learning [pre-print]. Working Paper. arXiv. (Unpublished)
Ede, Jeffrey M. (2019) DLSS STEM. [Online]. . Coventry, UK: Department of Physics ; University of Warwick.
Ede, Jeffrey M. (2019) Deep learning supersampled scanning transmission electron microscopy [pre-print]. Working Paper. arXiv. (Unpublished)
Ede, Jeffrey M. (2019) Electron Micrograph Denoiser. [Online]. (https://github.com/Jeffrey-Ede/Electron-Micrograph...). Coventry, UK: Department of Physics ; University of Warwick.
Ede, Jeffrey M. (2019) Kernels, MLPs and Autoencoders. [Online]. (https://github.com/Jeffrey-Ede/Denoising-Kernels-M...). Coventry, UK: Department of Physics ; University of Warwick.
Ede, Jeffrey M. (2019) One Shot Exit Wavefunction Reconstruction. [Online]. (https://github.com/Jeffrey-Ede/one-shot). Coventry, UK: Department of Physics ; University of Warwick.
Ede, Jeffrey M. (2019) Partial STEM. [Online]. (https://github.com/Jeffrey-Ede/partial-STEM). Coventry, UK: Department of Physics ; University of Warwick.
Ede, Jeffrey M. (2019) Partial Scan Electron Microscopy with Deep Learning. Working Paper. arXiv. (Unpublished)
Ede, Jeffrey M. (2019) Simple Webserver. [Online]. (https://github.com/Jeffrey-Ede/simple-webserver). Coventry, UK: Department of Physics ; University of Warwick.
2018
Ede, Jeffrey M. (2018) Autoencoders, Kernels, and Multilayer Perceptrons for Electron Micrograph Restoration and Compression. Working Paper. Department of Physics ; University of Warwick. (Unpublished)
Ede, Jeffrey M. (2018) Beanland Atlas. [Online]. (https://github.com/Jeffrey-Ede/Beanland-Atlas). Coventry, UK: Department of Physics ; University of Warwick.
Ede, Jeffrey M. (2018) Improving Electron Micrograph Signal-to-Noise with an Atrous Convolutional Encoder-Decoder [pre-print]. Working Paper. arXiv. (Unpublished)
This list was generated on Fri Mar 29 11:05:43 2024 GMT.