Suchergebnisse - "Memory efficient deep learning"

ML-PINN: A memory-efficient physics-informed Mamba-LSTM network for fast and accurate PDE solving von Gao, YiMing, Wang, Bing, Lu, Jingyi, Tian, Zhou

“… Physics-informed neural networks (PINNs) have emerged as a novel PDE solver and demonstrated significant potential. However, most existing models struggle to …”
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Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data von Peters, Bas, Haber, Eldad, Lensink, Keegan

“… The large spatial/temporal/frequency scale of geoscience and remote-sensing datasets causes memory issues when using convolutional neural networks for (sub-) …”
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