| Monte Carlo is a good sampling strategy for polynomial approximation in high dimensions | Aug 18, 2022 | compressed sensingUncertainty Quantification | —Unverified | 0 |
| Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics | Aug 17, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Multi-fidelity wavelet neural operator with application to uncertainty quantification | Aug 11, 2022 | Operator learningUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks | Aug 11, 2022 | Graph Neural NetworkUncertainty Quantification | CodeCode Available | 1 |
| Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model | Aug 11, 2022 | SpecificityUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification for Traffic Forecasting: A Unified Approach | Aug 11, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems | Aug 9, 2022 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data | Aug 8, 2022 | Decision MakingImage Reconstruction | CodeCode Available | 0 |
| Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation | Aug 5, 2022 | HippocampusLesion Segmentation | —Unverified | 0 |
| Interpretable Uncertainty Quantification in AI for HEP | Aug 5, 2022 | Decision MakingUncertainty Quantification | —Unverified | 0 |
