| Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks | Jul 19, 2024 | Meta-LearningModel Predictive Control | —Unverified | 0 |
| Epinet for Content Cold Start | Nov 20, 2024 | Recommendation SystemsThompson Sampling | —Unverified | 0 |
| Epistemic Deep Learning | Jun 15, 2022 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Calibrated Physics-Informed Uncertainty Quantification | Feb 6, 2025 | Conformal PredictionUncertainty Quantification | —Unverified | 0 |
| Epistemic Uncertainty Quantification For Pre-trained Neural Network | Apr 15, 2024 | Active LearningOut-of-Distribution Detection | —Unverified | 0 |
| Epistemic Uncertainty Quantification For Pre-Trained Neural Networks | Jan 1, 2024 | Active LearningOut-of-Distribution Detection | —Unverified | 0 |
| Extracting Dynamical Models from Data | Oct 13, 2021 | Numerical IntegrationUncertainty Quantification | —Unverified | 0 |
| Are generative models fair? A study of racial bias in dermatological image generation | Jan 20, 2025 | DiversityFairness | —Unverified | 0 |
| Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction | Feb 2, 2024 | Conformal PredictionOperator learning | —Unverified | 0 |
| Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems | Aug 14, 2020 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |