| 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 |
| Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction | Oct 7, 2019 | Bayesian InferenceMolecular Property Prediction | —Unverified | 0 |
| 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 |
