Spatial sliding-window attention for learning solution operators of partial differential equations
This paper studies a spatial sliding-window attention mechanism for learning solution operators of partial differential equations in a data-driven setting. The mechanism is formulated as an explicit spatial-locality bias that retains only nearby interactions and avoids materializing the full spatial score matrix. We de...