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Showing 1 to 1 of 1 for “"Recurrect Neural Network"”.

  1. Linearization of Neural Networks as a Dual Framework for Stability and Sparsity

    Neural networks are powerful but difficult to reason about. Understanding why a model is stable, why it is trained effectively, or how it is being compressed without performance degradation requires tools that go beyond inspecting weights or monitoring loss curves. Linearization, which …

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