Zhenglun Sun

Transolver Is a Linear Transformer: Revisiting Physics-Attention Through the Lens of Linear Attention

Recent advances in Transformer-based Neural Operators have enabled significant progress in data-driven solvers for Partial Differential Equations (PDEs). Most current research has focused on reducing the quadratic complexity of attention to address the resulting low training and inference efficienc