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pro vyhledávání: '"Bucagu, Glenn"'
Autor:
Zandonati, Ben, Bucagu, Glenn, Pol, Adrian Alan, Pierini, Maurizio, Sirkin, Olya, Kopetz, Tal
Model compression is instrumental in optimizing deep neural network inference on resource-constrained hardware. The prevailing methods for network compression, namely quantization and pruning, have been shown to enhance efficiency at the cost of perf
Externí odkaz:
http://arxiv.org/abs/2302.07612
Autor:
Bucagu, Glenn
We investigate the use of variational autoencoders in flash simulation of proton- proton collision events at the LHC. Given a dataset of over 2 million events, with 9 generator-level features and their software reconstructions, we train a variational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________65::24d784ea3471462e1932ae98eb11ff99
http://cds.cern.ch/record/2779397
http://cds.cern.ch/record/2779397