Factored Classifier-Free Guidance enables per-attribute control in classifier-free guidance for diffusion models to produce more sound counterfactuals.
Diffusion models for counterfactual generation and anomaly detection in brain images
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A selective inference framework is proposed to provide p-values controlling false positive rates for diffusion-based anomaly localization in images.
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Factored Classifier-Free Guidance
Factored Classifier-Free Guidance enables per-attribute control in classifier-free guidance for diffusion models to produce more sound counterfactuals.
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Statistical Test for Diffusion-Based Anomaly Localization via Selective Inference
A selective inference framework is proposed to provide p-values controlling false positive rates for diffusion-based anomaly localization in images.