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 ...
Abstract: The past decade has amply demonstrated the remarkable functionality that can be realized by learning complex input/output relationships. Algorithmically, one of the most important and opaque ...
if you are using software for any publication or article, we would be delighted if you could cite it from here. NOTE: This is not maintained a lot. For ROS 2 version visit here. Which is continuation ...
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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