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math.NA2021
A Generalized CUR decomposition for matrix pairs
Perfect Y. Gidisu, Michiel E. Hochstenbach
We propose a generalized CUR (GCUR) decomposition for matrix pairs . Given matrices and with the same number of columns, such a decomposition provides low-rank appr…
cs.LG2021★ 3 cited
A Simple and Efficient Stochastic Rounding Method for Training Neural Networks in Low Precision
Lu Xia, Martijn Anthonissen, Michiel Hochstenbach +1
Conventional stochastic rounding (CSR) is widely employed in the training of neural networks (NNs), showing promising training results even in low-precision computations. We introd…