| Predicting Weather Uncertainty with Deep Convnets | Nov 2, 2019 | Uncertainty QuantificationWeather Forecasting | —Unverified | 0 |
| Multivariate Uncertainty in Deep Learning | Oct 31, 2019 | Autonomous VehiclesDeep Learning | —Unverified | 0 |
| Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning | Oct 30, 2019 | Deep Learningregression | —Unverified | 0 |
| Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs | Oct 29, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Active Subspace of Neural Networks: Structural Analysis and Universal Attacks | Oct 29, 2019 | Adversarial AttackUncertainty Quantification | CodeCode Available | 0 |
| Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei | Oct 28, 2019 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty | Oct 23, 2019 | Bayesian InferenceComputed Tomography (CT) | CodeCode Available | 0 |
| Uncertainty Quantification with Generative Models | Oct 22, 2019 | Image ReconstructionUncertainty Quantification | CodeCode Available | 0 |
| Multiphase flow prediction with deep neural networks | Oct 21, 2019 | Computational EfficiencyPrediction | —Unverified | 0 |
| Batch simulations and uncertainty quantification in Gaussian process surrogate-based approximate Bayesian computation | Oct 16, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation | Oct 14, 2019 | Bayesian OptimisationComputational Efficiency | —Unverified | 0 |
| Uncertainty Quantification and Exploration for Reinforcement Learning | Oct 12, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | Oct 11, 2019 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 |
| Stochastic Optimal Control as Approximate Input Inference | Oct 7, 2019 | Uncertainty Quantification | CodeCode Available | 1 |
| Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction | Oct 7, 2019 | Bayesian InferenceMolecular Property Prediction | —Unverified | 0 |
| Deep Evidential Regression | Oct 7, 2019 | regressionUncertainty Quantification | CodeCode Available | 1 |
| Prior Guided Dropout for Robust Visual Localization in Dynamic Environments | Oct 1, 2019 | Camera LocalizationUncertainty Quantification | CodeCode Available | 0 |
| Debiased Bayesian inference for average treatment effects | Sep 26, 2019 | Bayesian InferenceCausal Inference | CodeCode Available | 0 |
| The Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions | Sep 25, 2019 | Uncertainty Quantification | —Unverified | 0 |
| AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING | Sep 25, 2019 | Policy Gradient Methodsreinforcement-learning | —Unverified | 0 |
| 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 |
