Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use entropy weight β=1 rather than other tested weights (ablation) | DPI · Toy distributions | KL divergence to the true distribution: 0.1 to 10; β=1 | Helped |
| Add a Softplus layer to enforce non-negativity (ablation) | DPI for convex interferometric imaging · Synthetic interferometric imaging | reconstruction resolution | Helped |
| Add a Softplus layer to enforce non-negativity (ablation) | DPI for convex interferometric imaging · Synthetic interferometric imaging | uncertainty-map constraint | Helped |
| Increase MRI acceleration from 3.5× to 8.4× (ablation) | DPI · Synthetic fastMRI knee | pixel-wise reconstruction standard deviation: 3.5×, 5.5× and 8.4× | Hurt |
| Use an entropy weight other than β=1 (ablation) | DPI · Toy distributions | KL divergence to the true distribution: β from 0.1 to 10; β=1 | Hurt |
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