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Oct, 2023
以聚类组成性解释增进对神经元的全面理解
Towards a fuller understanding of neurons with Clustered Compositional Explanations
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Biagio La Rosa, Leilani H. Gilpin, Roberto Capobianco
TL;DR
本文提出了一种称为集群组合解释的概括方法,它结合了组合解释、聚类和新颖的搜索启发式,以近似更广范围的神经元行为。我们定义并解决了应用这些方法到多个激活范围的问题,并分析了通过使用我们的算法可获取的洞见,并提出了可以用来研究不同算法返回的解释的期望品质。
Abstract
compositional explanations
is a method for identifying logical formulas of concepts that approximate the
neurons' behavior
. However, these explanations are linked to the small spectrum of neuron activations (i.e.
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