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arXiv · 2110.08252

A Rate-Distortion Framework for Explaining Black-box Model Decisions

Stefan Kolek·Duc Anh Nguyen·Ron Levie·Joan Bruna·Gitta Kutyniok
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Abstract

We present the Rate-Distortion Explanation (RDE) framework, a mathematically well-founded method for explaining black-box model decisions. The framework is based on perturbations of the target input signal and applies to any differentiable pre-trained model such as neural networks. Our experiments demonstrate the framework's adaptability to diverse data modalities, particularly images, audio, and physical simulations of urban environments.

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Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok. 2021-10-12. A Rate-Distortion Framework for Explaining Black-box Model Decisions. https://arxiv.org/abs/2110.08252

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