| Bayesian Probabilistic Matrix Factorization | Jun 11, 2025 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Bayesian Predictive Coding | Mar 31, 2025 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC | Jan 15, 2021 | BIG-bench Machine LearningClustering | —Unverified | 0 |
| Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems | Mar 20, 2024 | Transfer LearningUncertainty Quantification | —Unverified | 0 |
| A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture of Experts -- NVIDIA Modulus based Physics Informed Neural Operator Forward Model | Apr 20, 2024 | Mixture-of-ExpertsUncertainty Quantification | —Unverified | 0 |
| A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement | Apr 20, 2022 | DisentanglementUncertainty Quantification | —Unverified | 0 |
| Deep Learning to advance the Eigenspace Perturbation Method for Turbulence Model Uncertainty Quantification | Feb 11, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems | May 12, 2022 | Bayesian InferenceModel Selection | —Unverified | 0 |
| Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data | May 14, 2022 | Uncertainty Quantification | —Unverified | 0 |
| A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis | Aug 27, 2019 | Active LearningComputational Efficiency | —Unverified | 0 |
