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Updated: Sep 11, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
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在连续深度模型中增强计算复杂性:神经常规微分方程与可训练的数值方案.

Said Ouala, Laurent Debreu, Bertrand Chapron

    IEEE transactions on pattern analysis and machine intelligence
    |August 15, 2025
    PubMed
    概括

    我们为神经普通微分方程 (NODE) 引入可训练的数值集成方案,提高计算效率. 这种新的方法通过固定函数评估实现了最先进的准确性,提高了NODE的性能.

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