| Wasserstein Dropout | Dec 23, 2020 | Object Detectionregression | CodeCode Available | 0 |
| Probabilistic Iterative Methods for Linear Systems | Dec 23, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture | Dec 23, 2020 | BIG-bench Machine LearningUncertainty Quantification | —Unverified | 0 |
| Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection | Dec 22, 2020 | Transfer LearningUncertainty Quantification | —Unverified | 0 |
| Alternating linear scheme in a Bayesian framework for low-rank tensor approximation | Dec 21, 2020 | Bayesian InferenceTensor Decomposition | —Unverified | 0 |
| Multi-fidelity Bayesian Neural Networks: Algorithms and Applications | Dec 19, 2020 | Active LearningUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification in Case of Imperfect Models: A Review | Dec 17, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Active Learning for Deep Gaussian Process Surrogates | Dec 15, 2020 | Active LearningGaussian Processes | CodeCode Available | 0 |
| NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis | Dec 12, 2020 | Uncertainty Quantification | CodeCode Available | 0 |
| Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model | Dec 1, 2020 | regressionUncertainty Quantification | —Unverified | 0 |
