| Physics-constrained Bayesian inference of state functions in classical density-functional theory | Oct 7, 2020 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Learnable Uncertainty under Laplace Approximations | Oct 6, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures | Oct 6, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection | Oct 4, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Neural Bootstrapper | Oct 2, 2020 | Active LearningBIG-bench Machine Learning | CodeCode Available | 1 |
| Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library | Oct 1, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Active Inference or Control as Inference? A Unifying View | Oct 1, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry | Sep 30, 2020 | BenchmarkingBIG-bench Machine Learning | —Unverified | 0 |
| A robustness measure for singular point and index estimation in discretized orientation and vector fields | Sep 30, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Sets for Image Classifiers using Conformal Prediction | Sep 29, 2020 | Conformal PredictionPrediction | CodeCode Available | 1 |
