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cs.LG2024
A neural network approach for solving the Monge-Ampère equation with transport boundary condition
Roel Hacking, Lisa Kusch, Koondanibha Mitra +2
This paper introduces a novel neural network-based approach to solving the Monge-Ampère equation with the transport boundary condition, specifically targeted towards optical design…
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…