| System identification using Bayesian neural networks with nonparametric noise models | Apr 25, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline | Oct 15, 2024 | Autonomous DrivingDecision Making | —Unverified | 0 | 0 |
| Systems Challenges for Trustworthy Embodied Systems | Jan 10, 2022 | Self-LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Tailored Uncertainty Estimation for Deep Learning Systems | Apr 29, 2022 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 | 0 |
| Towards Clinical Practice in CT-Based Pulmonary Disease Screening: An Efficient and Reliable Framework | Dec 2, 2024 | Computed Tomography (CT)Diagnostic | —Unverified | 0 | 0 |
| Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks | Aug 11, 2023 | image-classificationImage Classification | —Unverified | 0 | 0 |
| Targeted Learning for Variable Importance | Nov 4, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Teaching Uncertainty Quantification in Machine Learning through Use Cases | Aug 19, 2021 | BIG-bench Machine LearningGeneral Knowledge | —Unverified | 0 | 0 |
| TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification | Sep 12, 2022 | SensitivityUncertainty Quantification | —Unverified | 0 | 0 |
| Tensor network square root Kalman filter for online Gaussian process regression | Sep 5, 2024 | regressionUncertainty Quantification | —Unverified | 0 | 0 |
