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A novel cross-attention mechanism dynamically clusters queries to achieve sub-quadratic complexity in neural operators for PDEs without sacrificing spatial resolution or model flexibility.
An MPNN can predict the best receiver for a pass in professional football with state-of-the-art accuracy, offering analysts a powerful tool to evaluate passing decisions.
Forget waiting hours for CFD simulations: this work shows you can get accurate cerebrovascular hemodynamics predictions 100x-1000x faster using reduced-order models based on POD and reservoir computing.