| Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing | Mar 16, 2020 | Assortment OptimizationManagement | —Unverified | 0 |
| B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data | Mar 13, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Scalable Uncertainty for Computer Vision with Functional Variational Inference | Mar 6, 2020 | Depth EstimationGaussian Processes | —Unverified | 0 |
| Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery | Mar 3, 2020 | Activity RecognitionClustering | —Unverified | 0 |
| Composing Normalizing Flows for Inverse Problems | Feb 26, 2020 | Compressive SensingUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification for Sparse Deep Learning | Feb 26, 2020 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing | Feb 24, 2020 | BIG-bench Machine LearningEnsemble Learning | CodeCode Available | 0 |
| Learnable Bernoulli Dropout for Bayesian Deep Learning | Feb 12, 2020 | Collaborative FilteringDeep Learning | —Unverified | 0 |
| Statistical aspects of nuclear mass models | Feb 11, 2020 | DiagnosticUncertainty Quantification | —Unverified | 0 |
| On transfer learning of neural networks using bi-fidelity data for uncertainty propagation | Feb 11, 2020 | Transfer LearningUncertainty Quantification | —Unverified | 0 |
