12 citations · 12 across the 6 of their papers we have counts for
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cs.DC2021
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS
Federica Filippini, Danilo Ardagna, Marco Lattuada +7
Artificial Intelligence (AI) and Deep Learning (DL) algorithms are currently applied to a wide range of products and solutions. DL training jobs are highly resource demanding and t…
cs.LG2021
Listening to the city, attentively: A Spatio-Temporal Attention Boosted Autoencoder for the Short-Term Flow Prediction Problem
Stefano Fiorini, Michele Ciavotta, Andrea Maurino
In recent years, studying and predicting alternative mobility (e.g., sharing services) patterns in urban environments has become increasingly important as accurate and timely infor…