Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Abstract: Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based on the ...

Knowing the stakes, Rose and her classmates at their west-side elementary practiced the drill just as their teacher instructed. The third graders kept a stack of worksheets tucked underneath their ...