According to DeepSeek, the NSA (Natively Trainable Sparse Attention) mechanism is designed to improve ultra-fast long-context training and inference capabilities through dynamic hierarchical sparse ...

Abstract: Dictionary learning ... promoting block sparsity and then using a block coordinate descent approach to estimate the unknowns. The proposed algorithm has the advantage of involving simple ...

This library provides code to learn a sparse coding model with ... compression schemes (dense random matrix, block diagonal matrix, and banded random matrix). data_file['phi'] A Numpy tensor ...

In some recently reported ideas, the sparse dictionary learning that uses the sparse representation of connected neural networks based on the sparse coding approach developed ... Architecture of an ...

A Block-coordinate ... for a dictionary D and a mixing matrix B satisfying classical assumptions in compressive sensing, the matrix sparse coding solution has the same support than the MSC solution.

This is the Matlab Package for the Online Sparse Dictionary Learning (OSDL) algorithm, presented in: J. Sulam, B. Ophir, M. Zibulevsky and M. Elad, "Trainlets: Dictionary Learning in High Dimensions," ...