Eric C. Larson

Spectral convolutional kernels unlock significantly greater accuracy gains from learned resolution allocation than their spatial counterparts, even when spatial area is normalized.

2Mamba closes the accuracy gap between linear and softmax attention, offering a memory-efficient alternative without sacrificing performance.