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Denoising and feature extraction in photoemission spectra with
  variational auto-encoder neural networks

Denoising and feature extraction in photoemission spectra with variational auto-encoder neural networks

Review of Scientific Instruments (RSI), 2022
14 March 2022
F. Restrepo
Junjing Zhao
U. Chatterjee
ArXiv (abs)PDFHTMLGithub

Papers citing "Denoising and feature extraction in photoemission spectra with variational auto-encoder neural networks"

2 / 2 papers shown
A simulation-based training framework for machine-learning applications in ARPES
A simulation-based training framework for machine-learning applications in ARPES
MengXing Na
Chris Zhou
Sydney K. Y. Dufresne
Matteo Michiardi
Andrea Damascelli
154
1
0
21 Aug 2025
Training-set-free two-stage deep learning for spectroscopic data
  de-noising
Training-set-free two-stage deep learning for spectroscopic data de-noising
Dongchen Huang
Junde Liu
Tian Qian
Hongming Weng
304
0
0
29 Feb 2024
1
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