| Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification | Dec 12, 2023 | Conformal PredictionDecision Making | —Unverified | 0 |
| B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data | Mar 13, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Emulator-based global sensitivity analysis for flow-like landslide run-out models | Oct 8, 2020 | FrictionSensitivity | —Unverified | 0 |
| Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems | Aug 14, 2020 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning | Nov 13, 2023 | Meta-LearningMeta Reinforcement Learning | —Unverified | 0 |
| End-to-end Conditional Robust Optimization | Mar 7, 2024 | Conformal PredictionDecision Making | —Unverified | 0 |
| End-to-End Probabilistic Framework for Learning with Hard Constraints | Jun 8, 2025 | Probabilistic Time Series Forecastingscoring rule | —Unverified | 0 |
| Enhanced multi-fidelity modelling for digital twin and uncertainty quantification | Jun 26, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian Federated Learning for Continual Training | Apr 21, 2025 | Continual LearningFederated Learning | —Unverified | 0 |
| Harnessing On-Machine Metrology Data for Prints with a Surrogate Model for Laser Powder Directed Energy Deposition | Sep 12, 2024 | Uncertainty Quantification | —Unverified | 0 |
