| 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 |
| Surrogate-assisted parallel tempering for Bayesian neural learning | Nov 21, 2018 | Bayesian InferenceDecision Making | CodeCode Available | 0 |
| Uncertainty quantification of molecular property prediction using Bayesian neural network models | Nov 19, 2018 | Molecular Property PredictionProperty Prediction | —Unverified | 0 |
| Quantifying Uncertainties in Natural Language Processing Tasks | Nov 18, 2018 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control | Nov 16, 2018 | Autonomous DrivingSelf-Driving Cars | —Unverified | 0 |
| Langevin-gradient parallel tempering for Bayesian neural learning | Nov 11, 2018 | Decision MakingTime Series | CodeCode Available | 0 |
