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| Generative structured normalizing flow Gaussian processes applied to spectroscopic data | Dec 14, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 | 0 |
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| EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation | Jul 18, 2023 | Image SegmentationMedical Image Segmentation | —Unverified | 0 | 0 |
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| Certified and fast computations with shallow covariance kernels | Jan 24, 2020 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Evidential time-to-event prediction with calibrated uncertainty quantification | Nov 12, 2024 | Decision MakingPrediction | —Unverified | 0 | 0 |
| Evidential Physics-Informed Neural Networks | Jan 27, 2025 | Uncertainty Quantification | —Unverified | 0 | 0 |
| A robustness measure for singular point and index estimation in discretized orientation and vector fields | Sep 30, 2020 | Uncertainty Quantification | —Unverified | 0 | 0 |
| A generalized Bayes framework for probabilistic clustering | Jun 9, 2020 | ClusteringUncertainty Quantification | —Unverified | 0 | 0 |
| Gradient-enhanced deep neural network approximations | Nov 8, 2022 | Uncertainty Quantification | —Unverified | 0 | 0 |
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| Grad-Shafranov equilibria via data-free physics informed neural networks | Nov 22, 2023 | DiagnosticUncertainty Quantification | —Unverified | 0 | 0 |
| Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery | Sep 24, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| A Risk-Aware Adaptive Robust MPC with Learned Uncertainty Quantification | Jul 15, 2025 | Active LearningModel Predictive Control | —Unverified | 0 | 0 |
| Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception | Nov 23, 2023 | Uncertainty Quantification | —Unverified | 0 | 0 |