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End-to-end Sinkhorn Autoencoder with Noise Generator
In this work, we propose a novel end-to-end Sinkhorn Autoencoder with a noise generator for efficient data collection simulation. Simulating processes that aim at collecting experimental data is crucial for multiple real-life applications, including nuclear medicine, astronomy, and high energy physi...
Autores principales: | , , , , , |
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Lenguaje: | eng |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1109/ACCESS.2020.3048622 http://cds.cern.ch/record/2749256 |