| Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data | Oct 31, 2023 | Causal DiscoveryEEG | —Unverified | 0 | 0 |
| Direct segmentation of brain white matter tracts in diffusion MRI | Jul 5, 2023 | Brain SegmentationDiffusion MRI | —Unverified | 0 | 0 |
| Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks | Dec 18, 2023 | Federated LearningPersonalized Federated Learning | —Unverified | 0 | 0 |
| Discovery of Probabilistic Dirichlet-to-Neumann Maps on Graphs | Jun 3, 2025 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 | 0 |
| Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods | Feb 20, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models | Nov 11, 2022 | Image-to-Image TranslationOut-of-Distribution Detection | —Unverified | 0 | 0 |
| Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation | Aug 5, 2022 | HippocampusLesion Segmentation | —Unverified | 0 | 0 |
| Distilling Calibration via Conformalized Credal Inference | Jan 10, 2025 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| Distributed estimation of the inverse Hessian by determinantal averaging | May 28, 2019 | Distributed OptimizationUncertainty Quantification | —Unverified | 0 | 0 |
| Distributed Safe Learning and Planning for Multi-robot Systems | Jul 16, 2022 | Active LearningCollision Avoidance | —Unverified | 0 | 0 |
