| Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models | Sep 23, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles | Sep 22, 2022 | Autonomous NavigationSemantic Segmentation | —Unverified | 0 |
| Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization | Sep 22, 2022 | Conformal PredictionGaussian Processes | —Unverified | 0 |
| Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography | Sep 20, 2022 | Active LearningCPU | —Unverified | 0 |
| Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation | Sep 20, 2022 | Active LearningUncertainty Quantification | —Unverified | 0 |
| Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields | Sep 19, 2022 | NeRFUncertainty Quantification | —Unverified | 0 |
| Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems | Sep 18, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Sample-based Uncertainty Quantification with a Single Deterministic Neural Network | Sep 17, 2022 | Feature ImportanceHand Pose Estimation | —Unverified | 0 |
| Uncertainty Quantification of Collaborative Detection for Self-Driving | Sep 16, 2022 | Autonomous VehiclesObject | CodeCode Available | 1 |
| Towards Improving Calibration in Object Detection Under Domain Shift | Sep 15, 2022 | Decision MakingObject | —Unverified | 0 |
