Samuel Lerman

Explaining Local, Global, and Higher-Order Interactions in Deep Learning

We present a simple yet highly generalizable method for explaining interacting parts within a neural network's reasoning process. First, we design an algorithm based on cross derivatives for computing statistical interaction effects between individual features, which is generalized to both 2-way and…