| 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 |
| BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning | Sep 28, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription | Sep 10, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications | Sep 10, 2020 | Compressive SensingExperimental Design | —Unverified | 0 |
| Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification | Sep 9, 2020 | ClassificationDecision Making | —Unverified | 0 |
| Mutual Information for Explainable Deep Learning of Multiscale Systems | Sep 7, 2020 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Uncertainty quantification for Markov Random Fields | Aug 31, 2020 | Uncertainty Quantification | —Unverified | 0 |
| SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates | Aug 24, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables | Aug 21, 2020 | Computational Efficiencyregression | —Unverified | 0 |
| Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior | Aug 20, 2020 | DenoisingImage Denoising | CodeCode Available | 1 |
| Bayesian neural networks and dimensionality reduction | Aug 18, 2020 | Bayesian InferenceDimensionality Reduction | —Unverified | 0 |
| RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation | Aug 16, 2020 | Efficient Neural NetworkImage Segmentation | CodeCode Available | 1 |
| Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems | Aug 14, 2020 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation | Aug 12, 2020 | Decoderimage-classification | CodeCode Available | 0 |
| Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling | Aug 12, 2020 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| Uncertainty Quantification of Locally Nonlinear Dynamical Systems using Neural Networks | Aug 11, 2020 | Uncertainty Quantification | —Unverified | 0 |
