Recent augmentation-based methods showed that message-passing (MP) neural networks often perform poorly on low-degree nodes, leading to degree biases due to a lack of messages reaching low-degree ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Abstract: Motion Prediction (MP) of multiple surrounding agents, and accurate trajectory forecasting, is a crucial task for self-driving vehicles and robots. Current techniques tackle this problem ...
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