A Rate-Distortion Framework for Explaining Black-box Model Decisions. (arXiv:2110.08252v1 [cs.LG])

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.

Source: https://arxiv.org/abs/2110.08252

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