This paper concentrates on developing efficient and robust backward solution for the forward sparse greedy algorithms and applies it in the field of speech compression. All existing backward solutions ...

Sparse-Dense Matrix Multiplication (SpMM) plays a key role in fields like machine learning, scientific simulations, and graph analytics. However, compared to Sparse Matrix-Vector Multiplication (SpMV) ...