| 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 |
