| Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes | Feb 5, 2021 | Gaussian Processesregression | —Unverified | 0 |
| Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network | Apr 25, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Efficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics | Sep 8, 2023 | ManagementPrognosis | —Unverified | 0 |
| Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields | Jul 16, 2023 | Computational EfficiencyGaussian Processes | —Unverified | 0 |
| Black-box Uncertainty Quantification Method for LLM-as-a-Judge | Oct 15, 2024 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering | Oct 4, 2023 | Anomaly DetectionDecision Making | —Unverified | 0 |
| B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions | Nov 28, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators | Oct 27, 2024 | Bayesian Inferenceregression | —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 |
