Method evidence record
Explainable Diffusion Model
An Explainable Diffusion Model couples a denoising diffusion probabilistic model with post-hoc or intrinsic explainability techniques — such as SHAP, gradient-based saliency, attention analysis, or concept-based probing — so that each generative or predictive decision can be audited and justified rather than treated as a black box.
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Explainable Diffusion Model (XAI-Augmented Denoising Diffusion Probabilistic Model)
Taxonomic method record · ml-model / deep-learning
- Ho, J., Jain, A., & Abbeel, P. (2020). Denoising Diffusion Probabilistic Models. Advances in Neural Information Processing Systems, 33, 6840–6851. · URL
- Diffusion model. Wikipedia. · URL
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