Is your uncertainty map wrong, or is its target? Exact diagnostics for the Tweedie diagonal, and a gradient-free alternative

arXiv:2609.33786 · cs.AI · Submitted 2026-09-27 · Read on arXiv

cs.AI

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/fastai/imagenette

Terminology

• Diffusion Model — 22× in this paper · explained in 8 episodes
• AUROC — 18× in this paper · explained in 2 episodes
• Diffusion Models — 18× in this paper · explained in 6 episodes
• In International Conference on Machine Learning — 5× in this paper
• Inverse Problem — 5× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Aleatoric Uncertainty — 4× in this paper · explained in 5 episodes
• Reconstruction Error — 4× in this paper · explained in 2 episodes
• Activation Checkpointing — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Latent Diffusion Model — 3× in this paper · explained in 2 episodes
• Computed Tomography — 2× in this paper
• Fidelity — 2× in this paper · explained in 2 episodes
• In Uncertainty in Artificial Intelligence — 2× in this paper
• Intrinsic Dimension — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Magnetic Resonance Imaging — 2× in this paper
• Anti-correlation — 1× in this paper · explained in 3 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Conformal Prediction — 1× in this paper · explained in 5 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Epistemic Uncertainty — 1× in this paper · explained in 10 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fisher Information — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling
• Generative AI for Medical Imaging: extending the MONAI Framework
• Covariance-aware sampling for Diffusion Models
• LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

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