Machine learning uncertainties with adversarial neural networks
Machine Learning is a powerful tool to reveal and exploit correlations in a multi-dimensional parameter space. Making predictions from such correlations is a highly non-trivial task, in particular when the details of the underlying dynamics of a theoretical model are not fully understood. Using adve...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2019
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| Online Access: | http://hdl.handle.net/1721.1/120361 https://orcid.org/0000-0001-8189-3741 |