3 citations · 5 across the 3 of their papers we have counts for
4 papers
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…
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…
Improved stochastic rounding
Lu Xia, Martijn Anthonissen, Michiel Hochstenbach +1
Due to the limited number of bits in floating-point or fixed-point arithmetic, rounding is a necessary step in many computations. Although rounding methods can be tailored for diff…
A twin error gauge for Kaczmarz's iterations
Bart S. van Lith, Per Christian Hansen, Michiel E. Hochstenbach
We propose two new algebraic reconstruction techniques based on Kaczmarz's method that produce a regularized solution to noisy tomography problems. Tomography problems exhibit semi…