| Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems | Jan 11, 2019 | Deep LearningImage Segmentation | —Unverified | 0 |
| Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models | Jan 8, 2019 | Activity RecognitionGaussian Processes | —Unverified | 0 |
| Reliable deep-learning-based phase imaging with uncertainty quantification | Jan 7, 2019 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Deep learning electromagnetic inversion with convolutional neural networks | Dec 26, 2018 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Distribution-Free Uncertainty Quantification for Kernel Methods by Gradient Perturbations | Dec 23, 2018 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting | Dec 22, 2018 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 0 |
| Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach | Dec 15, 2018 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 |
| Surrogate-assisted Bayesian inversion for landscape and basin evolution models | Dec 12, 2018 | Bayesian InferenceComputational Efficiency | CodeCode Available | 0 |
| Evaluating Bayesian Deep Learning Methods for Semantic Segmentation | Nov 30, 2018 | Anomaly DetectionAutonomous Driving | CodeCode Available | 0 |
| Improved Calibration of Numerical Integration Error in Sigma-Point Filters | Nov 28, 2018 | Numerical IntegrationUncertainty Quantification | —Unverified | 0 |
