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Chemnitz University of Technology
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Sub-quadratic attention no longer requires sacrificing softmax-level expressivity: additive sorting kernels achieve infinite identity-approximation capacity while scaling quasi-linearly on long sequences.
Achieving substantial sample size reduction for PDE solution operators, this method offers a game-changing alternative to traditional cubature techniques without sacrificing accuracy.
