Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Watching the Miami offense run motion at the snap is basically a masterclass in aggressive, terrifying geometry. This breakdown explores how Mike McDaniel’s deep obsession with data is rewiring the ...

Abstract: In large-scale distributed matrix-vector multiplications, e.g., for generative AI, straggling nodes can slow down or even jeopardize the whole operation. Coded distributed computing (CDC) ...

Abstract: In deep learning-based dehazing strategies, attention mechanisms are widely used to refine feature representations and improve overall performance. However, conventional contextual attention ...