| Influence of Material Parameter Variability on the Predicted Coronary Artery Biomechanical Environment via Uncertainty Quantification | Jan 26, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Information-theoretic Analysis of Test Data Sensitivity in Uncertainty | Jul 23, 2023 | Bayesian InferenceMeta-Learning | —Unverified | 0 |
| Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection | Jun 26, 2022 | BIG-bench Machine LearningOut-of-Distribution Detection | —Unverified | 0 |
| Controlled Dropout for Uncertainty Estimation | May 6, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems | Nov 14, 2024 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation | Jul 17, 2024 | SegmentationSemantic Segmentation | —Unverified | 0 |
| Integral Imprecise Probability Metrics | May 22, 2025 | Uncertainty Quantification | —Unverified | 0 |
| Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification | Dec 14, 2024 | Image ReconstructionUncertainty Quantification | —Unverified | 0 |
| Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation | Dec 10, 2024 | Text GenerationUncertainty Quantification | —Unverified | 0 |
| Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification | Sep 9, 2020 | ClassificationDecision Making | —Unverified | 0 |
