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Explain integrated gradients for attribution. Why use it over raw gradients, and how do you pick the baseline?

Raw gradient saliency maps are noisy and saturate. Integrated gradients fixes both with two axioms and a path integral, but the baseline choice quietly decides the answer. Here is what a careful candidate explains.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Raw gradient saliency maps are noisy and saturate. Integrated gradients fixes both with two axioms and a path integral, but the baseline choice quietly decides the answer. Here is what a careful candidate explains.

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