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SmoothDiff.jl

Code Style: Runic Aqua JET

Julia reference implementation of SmoothDiff for the NeurIPS 2025 paper "Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations".

The full experiments can be found here: https://github.com/adrhill/smoothdiff-experiments/

Acknowledgements

Adrian Hill gratefully acknowledges funding from the German Federal Ministry of Education and Research under the grant BIFOLD26B.

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Code for the NeurIPS 2025 paper "Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations"

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