The high-energy physics community is investigating the feasibility of
de...
Compression of deep neural networks has become a necessary stage for
opt...
Model compression is vital to the deployment of deep learning on edge
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We apply object detection techniques based on deep convolutional blocks ...
Exploiting the rapid advances in probabilistic inference, in particular
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Reliable data quality monitoring is a key asset in delivering collision ...