12 citations · 13 across the 10 of their papers we have counts for
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cs.LG2021
LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs
Eitan Kosman, Joel Oren, Dotan Di Castro
Graph Neural Networks (GNNs) have emerged as highly successful tools for graph-related tasks. However, real-world problems involve very large graphs, and the compute resources need…
cs.CV2021
Vision-Guided Forecasting -- Visual Context for Multi-Horizon Time Series Forecasting
Eitan Kosman, Dotan Di Castro
Autonomous driving gained huge traction in recent years, due to its potential to change the way we commute. Much effort has been put into trying to estimate the state of a vehicle.…