| Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling | Nov 6, 2019 | Uncertainty Quantification | CodeCode Available | 0 |
| Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO | Nov 5, 2019 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Predicting Weather Uncertainty with Deep Convnets | Nov 2, 2019 | Uncertainty QuantificationWeather Forecasting | —Unverified | 0 |
| Multivariate Uncertainty in Deep Learning | Oct 31, 2019 | Autonomous VehiclesDeep Learning | —Unverified | 0 |
| Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning | Oct 30, 2019 | Deep Learningregression | —Unverified | 0 |
| Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs | Oct 29, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Active Subspace of Neural Networks: Structural Analysis and Universal Attacks | Oct 29, 2019 | Adversarial AttackUncertainty Quantification | CodeCode Available | 0 |
| Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei | Oct 28, 2019 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty | Oct 23, 2019 | Bayesian InferenceComputed Tomography (CT) | CodeCode Available | 0 |
| Uncertainty Quantification with Generative Models | Oct 22, 2019 | Image ReconstructionUncertainty Quantification | CodeCode Available | 0 |
