Publication

CORE SIM+ simulations of COLIBRI fuel rods oscillation experiments and comparison with measurements

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FRONTIERS MEDIA SA2020

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Deep neural networks have been empirically successful in a variety of tasks, however their theoretical understanding is still poor. In particular, modern deep neural networks have many more parameters than training data. Thus, in principle they should over ...

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Accurate and efficient interpretation of load-test data for asset-management

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