Stefan Bluecher

PhD student, TU Berlin

1 paper at NeurIPS 2025

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Poster Session 2

1 paper

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations

#1006 · Adrian Hill, Neal McKee, Johannes Maeß, Stefan Bluecher, Klaus Robert Muller

We propose SmoothDiff, a novel feature attribution method leveraging automatic differentiation, directly targeting nonlinearities responsible for the shattered gradient problem.