| 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 |
| Adversarial Uncertainty Quantification in Physics-Informed Neural Networks | Nov 9, 2018 | Uncertainty Quantification | CodeCode Available | 0 |
| Uncertainty in Neural Networks: Approximately Bayesian Ensembling | Oct 12, 2018 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 |
| Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems | Sep 21, 2018 | Active LearningUncertainty Quantification | —Unverified | 0 |
| Data-driven polynomial chaos expansion for machine learning regression | Aug 9, 2018 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Estimating Failure in Brittle Materials using Graph Theory | Jul 30, 2018 | Uncertainty Quantification | —Unverified | 0 |
