| Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization | Sep 22, 2022 | Conformal PredictionGaussian Processes | —Unverified | 0 |
| Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles | Sep 22, 2022 | Autonomous NavigationSemantic Segmentation | —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 |
| Towards Improving Calibration in Object Detection Under Domain Shift | Sep 15, 2022 | Decision MakingObject | —Unverified | 0 |
| Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications | Sep 14, 2022 | Active LearningManagement | CodeCode Available | 0 |
| Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series data | Sep 13, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
