Abstract: Recently, there has been a growing interest in the exploration of Nonlinear Matrix Decomposition (NMD) due to its close ties with neural networks. NMD aims to find a low-rank matrix from a ...

Abstract: Computing three-phase short-circuit currents (3pSCCs) in large-scale high-voltage power systems needs to find the inverted nodal admittance matrix, which is generally time- consuming.

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DeepSeek researchers are trying to solve a precise issue in large language model training. Residual connections made very deep networks trainable, hyper connections widened that residual stream, and ...

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