40 citations · 122 across the 19 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.AR2021★ 2 cited
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration
Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos +2
The design of efficient hardware accelerators for high-throughput data-processing applications, e.g., deep neural networks, is a challenging task in computer architecture design. I…
cs.LG2021★ 40 cited
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
Andrea Cini, Ivan Marisca, Cesare Alippi
Dealing with missing values and incomplete time series is a labor-intensive, tedious, inevitable task when handling data coming from real-world applications. Effective spatio-tempo…