| Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control | Sep 21, 2019 | Autonomous DrivingBayesian Inference | —Unverified | 0 |
| Bayesian data assimilation to support informed decision-making in individualised chemotherapy | Sep 20, 2019 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification in Stochastic Economic Dispatch using Gaussian Process Emulation | Sep 20, 2019 | Dimensionality ReductionUncertainty Quantification | —Unverified | 0 |
| A Multi-level procedure for enhancing accuracy of machine learning algorithms | Sep 20, 2019 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 0 |
| Minimax Confidence Intervals for the Sliced Wasserstein Distance | Sep 17, 2019 | Uncertainty Quantification | CodeCode Available | 0 |
| Learned imaging with constraints and uncertainty quantification | Sep 13, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Evaluating and Boosting Uncertainty Quantification in Classification | Sep 13, 2019 | ClassificationDecision Making | —Unverified | 0 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 |
| A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis | Aug 27, 2019 | Active LearningComputational Efficiency | —Unverified | 0 |
| Marginally-calibrated deep distributional regression | Aug 26, 2019 | regressionTime Series Analysis | —Unverified | 0 |
