| A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval | Jan 6, 2025 | In-Context LearningSensor Modeling | —Unverified | 0 | 0 |
| Functional Bayesian Neural Networks for Model Uncertainty Quantification | May 1, 2019 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification | Feb 6, 2023 | regressionUncertainty Quantification | —Unverified | 0 | 0 |
| Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data | Jul 10, 2023 | Dimensionality ReductionUncertainty Quantification | —Unverified | 0 | 0 |
| Functional SDE approximation inspired by a deep operator network architecture | Feb 5, 2024 | Operator learningUncertainty Quantification | —Unverified | 0 | 0 |
| Functional Stochastic Gradient MCMC for Bayesian Neural Networks | Sep 25, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions | Feb 17, 2023 | Adversarial RobustnessFairness | —Unverified | 0 | 0 |
| Function Space Bayesian Pseudocoreset for Bayesian Neural Networks | Oct 27, 2023 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review | Jul 8, 2021 | Anomaly DetectionArticles | —Unverified | 0 | 0 |
| Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors | Apr 7, 2025 | Image SegmentationInformativeness | —Unverified | 0 | 0 |