| 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 |
| Distributed Uncertainty Quantification of Kernel Interpolation on Spheres | Oct 25, 2023 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control | Jul 27, 2022 | continuous-controlContinuous Control | —Unverified | 0 | 0 |
| Distributionally Robust Statistical Verification with Imprecise Neural Networks | Aug 28, 2023 | Active LearningMuJoCo | —Unverified | 0 | 0 |
| Distributionally robust uncertainty quantification via data-driven stochastic optimal control | Jun 4, 2023 | LEMMAUncertainty Quantification | —Unverified | 0 | 0 |
| Distributional Reinforcement Learning on Path-dependent Options | Jul 16, 2025 | Distributional Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Distribution-Driven Disjoint Prediction Intervals for Deep Learning | Sep 29, 2021 | Deep LearningPrediction | —Unverified | 0 | 0 |
| Distribution-free uncertainty quantification for classification under label shift | Mar 4, 2021 | ClassificationConformal Prediction | —Unverified | 0 | 0 |
| Distribution free uncertainty quantification in neuroscience-inspired deep operators | Dec 12, 2024 | Conformal PredictionEdge-computing | —Unverified | 0 | 0 |
| Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework | Dec 17, 2024 | Conformal PredictionDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning | Apr 9, 2024 | DiversityReinforcement Learning (RL) | —Unverified | 0 | 0 |
| Do Bayesian imaging methods report trustworthy probabilities? | May 13, 2024 | DenoisingGPU | —Unverified | 0 | 0 |
| Do Large Language Models (Really) Need Statistical Foundations? | May 25, 2025 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables | Aug 21, 2020 | Computational Efficiencyregression | —Unverified | 0 | 0 |
| DPA-WNO: A gray box model for a class of stochastic mechanics problem | Sep 24, 2023 | Operator learningUncertainty Quantification | —Unverified | 0 | 0 |
| DROMO: Distributionally Robust Offline Model-based Policy Optimization | Sep 15, 2021 | modelUncertainty Quantification | —Unverified | 0 | 0 |
| DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection | Nov 3, 2024 | Change Point DetectionModel Selection | —Unverified | 0 | 0 |
| Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification | Jan 8, 2024 | image-classificationImage Classification | —Unverified | 0 | 0 |
| Dual Random Fields and their Application to Mineral Potential Mapping | Dec 10, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting | Mar 27, 2025 | Conformal PredictionLoad Forecasting | —Unverified | 0 | 0 |
| Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization | Oct 5, 2021 | Model OptimizationOut-of-Distribution Detection | —Unverified | 0 | 0 |