11 citations · 15 across the 7 of their papers we have counts for
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cs.CV2022★ 2 cited
Under the Hood of Transformer Networks for Trajectory Forecasting
Luca Franco, Leonardo Placidi, Francesco Giuliari +3
Transformer Networks have established themselves as the de-facto state-of-the-art for trajectory forecasting but there is currently no systematic study on their capability to model…
physics.geo-ph2022
Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress
Laura Laurenti, Elisa Tinti, Fabio Galasso +2
Earthquake forecasting and prediction have long and in some cases sordid histories but recent work has rekindled interest based on advances in early warning, hazard assessment for…