S-MNN reformulates Mechanistic Neural Networks to achieve linear computational complexity for long sequences while preserving accuracy and interpretability.
Our modifications in S-MNN provide alterna- tive approximation methods that improve efficiency without sacrificing accuracy
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Scalable Mechanistic Neural Networks for Differential Equations and Machine Learning
S-MNN reformulates Mechanistic Neural Networks to achieve linear computational complexity for long sequences while preserving accuracy and interpretability.