| Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification | Feb 7, 2024 | Dimensionality ReductionUncertainty Quantification | —Unverified | 0 |
| Dimension-Free Average Treatment Effect Inference with Deep Neural Networks | Dec 2, 2021 | regressionUncertainty Quantification | —Unverified | 0 |
| End-to-end Conditional Robust Optimization | Mar 7, 2024 | Conformal PredictionDecision Making | —Unverified | 0 |
| Direct segmentation of brain white matter tracts in diffusion MRI | Jul 5, 2023 | Brain SegmentationDiffusion MRI | —Unverified | 0 |
| Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning | Feb 3, 2019 | Active LearningDrug Discovery | —Unverified | 0 |
| An Overview of Large Language Models for Statisticians | Feb 25, 2025 | Causal InferenceDecision Making | —Unverified | 0 |
| Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks | Dec 18, 2023 | Federated LearningPersonalized Federated Learning | —Unverified | 0 |
| Discovery of Probabilistic Dirichlet-to-Neumann Maps on Graphs | Jun 3, 2025 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Bayesian Spike Train Inference via Non-Local Priors | May 27, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods | Feb 20, 2024 | Uncertainty Quantification | —Unverified | 0 |
| 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 |
| Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control | Jul 27, 2022 | continuous-controlContinuous Control | —Unverified | 0 |
| Distributionally Robust Statistical Verification with Imprecise Neural Networks | Aug 28, 2023 | Active LearningMuJoCo | —Unverified | 0 |
| Distributionally robust uncertainty quantification via data-driven stochastic optimal control | Jun 4, 2023 | LEMMAUncertainty Quantification | —Unverified | 0 |
| Distributional Reinforcement Learning on Path-dependent Options | Jul 16, 2025 | Distributional Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Distribution-Driven Disjoint Prediction Intervals for Deep Learning | Sep 29, 2021 | Deep LearningPrediction | —Unverified | 0 |
| Enhanced multi-fidelity modelling for digital twin and uncertainty quantification | Jun 26, 2023 | Uncertainty Quantification | —Unverified | 0 |