| Uncertainty Quantification in Deep MRI Reconstruction | Jan 31, 2019 | DiagnosticMRI Reconstruction | —Unverified | 0 |
| Bayesian active learning for optimization and uncertainty quantification in protein docking | Jan 31, 2019 | Active LearningBinary Classification | CodeCode Available | 0 |
| Coupling the reduced-order model and the generative model for an importance sampling estimator | Jan 23, 2019 | Dimensionality Reductionmodel | —Unverified | 0 |
| Modeling and inference of spatio-temporal protein dynamics across brain networks | Jan 18, 2019 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data | Jan 18, 2019 | Small Data Image ClassificationUncertainty Quantification | CodeCode Available | 0 |
| Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems | Jan 11, 2019 | Deep LearningImage Segmentation | —Unverified | 0 |
| Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models | Jan 8, 2019 | Activity RecognitionGaussian Processes | —Unverified | 0 |
| Reliable deep-learning-based phase imaging with uncertainty quantification | Jan 7, 2019 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Deep learning electromagnetic inversion with convolutional neural networks | Dec 26, 2018 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Distribution-Free Uncertainty Quantification for Kernel Methods by Gradient Perturbations | Dec 23, 2018 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
