End-to-End Sinkhorn Autoencoder With Noise Generator

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...

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Bibliographic Details
Main Authors: Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Przemsysaw Spurek, Tomasz Trzcinski
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Computer simulation
generative modeling
machine learning
Online Access:https://ieeexplore.ieee.org/document/9311504/

Internet

https://ieeexplore.ieee.org/document/9311504/

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