Milestone results released by the Large High Altitude Air Shower Observatory (LHAASO) on November 16 have solved a decades-old mystery about the cosmic ray energy spectrum—which shows a sharp decrease ...
Currently, when users want to output some physical quantities in real space in sparse matrix format, such as Hamiltonian, overlap matrix, kinetic energy matrix, etc., they are required to set the ...
ABSTRACT: The increasing demand for mobile simulation tools has opened new possibilities in engineering applications, particularly in composite material modelling. This paper introduces original ...
Sparse attention is emerging as a compelling approach to improve the ability of Transformer-based LLMs to handle long sequences. This is particularly important because the standard self-attention ...
Abstract: Sparse Convolutional Neural Network (CNN) training is well known to be time-consuming due to significant off-chip memory traffic. To effectively deploy sparse training, existing accelerators ...
One scene reflects the themes — A.I., fake news, transgender lives and Gen X — that make the film a classic. By Alissa Wilkinson Neo, the hero of “The Matrix,” is sure he lives in 1999. He has a green ...
The CAR prior allows the user to input a sparse matrix, but the ICAR prior does not have this functionality. For large spatial adjacency matrices, sparsity is critical to ensure efficient memory ...
Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...
Cross-encoder (CE) models evaluate similarity by simultaneously encoding a query-item pair, outperforming the dot-product with embedding-based models at estimating query-item relevance. Current ...
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