| Antithetic Noise in Diffusion Models | Jun 6, 2025 | DiversityNegation | —Unverified | 0 |
| Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models | Nov 11, 2022 | Image-to-Image TranslationOut-of-Distribution Detection | —Unverified | 0 |
| Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation | Aug 5, 2022 | HippocampusLesion Segmentation | —Unverified | 0 |
| Distilling Calibration via Conformalized Credal Inference | Jan 10, 2025 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval | Nov 25, 2020 | Computational EfficiencyImage Retrieval | —Unverified | 0 |
| Distributed estimation of the inverse Hessian by determinantal averaging | May 28, 2019 | Distributed OptimizationUncertainty Quantification | —Unverified | 0 |
| Bayesian Uncertainty Quantification for Anaerobic Digestion models | May 30, 2024 | Inductive BiasUncertainty Quantification | —Unverified | 0 |
| Distributed Safe Learning and Planning for Multi-robot Systems | Jul 16, 2022 | Active LearningCollision Avoidance | —Unverified | 0 |
| Distributed Uncertainty Quantification of Kernel Interpolation on Spheres | Oct 25, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Emulator-based global sensitivity analysis for flow-like landslide run-out models | Oct 8, 2020 | FrictionSensitivity | —Unverified | 0 |
