| TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification | Sep 12, 2022 | SensitivityUncertainty Quantification | —Unverified | 0 |
| Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey | Sep 8, 2022 | Conformal PredictionDecision Making | —Unverified | 0 |
| Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution | Sep 6, 2022 | Bayesian InferenceDensity Ratio Estimation | —Unverified | 0 |
| Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images | Sep 5, 2022 | Semantic SegmentationUncertainty Quantification | CodeCode Available | 0 |
| Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation | Sep 1, 2022 | Active LearningGPR | CodeCode Available | 0 |
| Bayesian Continual Learning via Spiking Neural Networks | Aug 29, 2022 | Continual LearningManagement | CodeCode Available | 0 |
| A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives | Aug 27, 2022 | Uncertainty Quantification | —Unverified | 0 |
| A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies | Aug 26, 2022 | Uncertainty Quantification | —Unverified | 0 |
| CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning | Aug 25, 2022 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Sub-aperture SAR Imaging with Uncertainty Quantification | Aug 25, 2022 | Uncertainty Quantification | —Unverified | 0 |
