| Adversarial Uncertainty Quantification in Physics-Informed Neural Networks | Nov 9, 2018 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak | Feb 15, 2025 | Bayesian InferenceConformal Prediction | CodeCode Available | 0 | 5 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| Architectural and Inferential Inductive Biases For Exchangeable Sequence Modeling | Mar 3, 2025 | Active LearningDecision Making | CodeCode Available | 0 | 5 |
| 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 | 5 |
| Calibrated Computation-Aware Gaussian Processes | Oct 11, 2024 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Estimating prevalence with precision and accuracy | Jul 8, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors | Jul 9, 2021 | Objectobject-detection | CodeCode Available | 0 | 5 |
| Reliable deep-learning-based phase imaging with uncertainty quantification | Jan 7, 2019 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
