| 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 |
| 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 |
| Ensemble Neural Networks (ENN): A gradient-free stochastic method | Aug 3, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases | Aug 2, 2019 | DiagnosticUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement | Jul 31, 2019 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty | Jul 26, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Deep convolutional neural networks for uncertainty propagation in random fields | Jul 24, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Supervised Uncertainty Quantification for Segmentation with Multiple Annotations | Jul 3, 2019 | DiversitySegmentation | CodeCode Available | 0 |
| Parameter Estimation and Uncertainty Quantification for Systems Biology Models | Jun 26, 2019 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| Simultaneous Prediction Intervals for Patient-Specific Survival Curves | Jun 25, 2019 | DescriptivePrediction | CodeCode Available | 0 |
| Quality of Uncertainty Quantification for Bayesian Neural Network Inference | Jun 24, 2019 | General Classificationregression | —Unverified | 0 |
| Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks | Jun 13, 2019 | DecoderUncertainty Quantification | CodeCode Available | 0 |
| Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes | Jun 12, 2019 | Activity RecognitionAudio Classification | CodeCode Available | 0 |
| Inference and Uncertainty Quantification for Noisy Matrix Completion | Jun 10, 2019 | Matrix CompletionUncertainty Quantification | —Unverified | 0 |
| Structured Variational Inference in Continuous Cox Process Models | Jun 7, 2019 | Numerical IntegrationUncertainty Quantification | CodeCode Available | 0 |
| Deep Compositional Spatial Models | Jun 6, 2019 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Bayesian Evidential Deep Learning with PAC Regularization | Jun 3, 2019 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Generative Parameter Sampler For Scalable Uncertainty Quantification | May 28, 2019 | General ClassificationUncertainty Quantification | —Unverified | 0 |
| Distributed estimation of the inverse Hessian by determinantal averaging | May 28, 2019 | Distributed OptimizationUncertainty Quantification | —Unverified | 0 |
| Sequential Gaussian Processes for Online Learning of Nonstationary Functions | May 24, 2019 | Gaussian ProcessesHyperparameter Optimization | CodeCode Available | 0 |
| A Bulirsch-Stoer algorithm using Gaussian processes | May 23, 2019 | Gaussian ProcessesGPR | —Unverified | 0 |
| Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models | May 20, 2019 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
