| Structured Variational Inference in Continuous Cox Process Models | Jun 7, 2019 | Numerical IntegrationUncertainty Quantification | CodeCode Available | 0 |
| Deep Compositional Spatial Models | Jun 6, 2019 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Bayesian Evidential Deep Learning with PAC Regularization | Jun 3, 2019 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Generative Parameter Sampler For Scalable Uncertainty Quantification | May 28, 2019 | General ClassificationUncertainty Quantification | —Unverified | 0 |
| Distributed estimation of the inverse Hessian by determinantal averaging | May 28, 2019 | Distributed OptimizationUncertainty Quantification | —Unverified | 0 |
| Sequential Gaussian Processes for Online Learning of Nonstationary Functions | May 24, 2019 | Gaussian ProcessesHyperparameter Optimization | CodeCode Available | 0 |
| A Bulirsch-Stoer algorithm using Gaussian processes | May 23, 2019 | Gaussian ProcessesGPR | —Unverified | 0 |
| Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models | May 20, 2019 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Minimal Achievable Sufficient Statistic Learning | May 19, 2019 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 0 |
| Efficient Deep Gaussian Process Models for Variable-Sized Input | May 16, 2019 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions | May 16, 2019 | Uncertainty Quantification | CodeCode Available | 0 |
| Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes | May 15, 2019 | Gaussian ProcessesTraffic Prediction | —Unverified | 0 |
| Seismic Bayesian evidential learning: Estimation and uncertainty quantification of sub-resolution reservoir properties | May 14, 2019 | SandUncertainty Quantification | —Unverified | 0 |
| Functional Bayesian Neural Networks for Model Uncertainty Quantification | May 1, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian Deep Learning via Stochastic Gradient MCMC with a Stochastic Approximation Adaptation | May 1, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout | Apr 29, 2019 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Perceptual Attention-based Predictive Control | Apr 26, 2019 | Model Predictive ControlUncertainty Quantification | —Unverified | 0 |
| Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries | Apr 23, 2019 | DiagnosticImage Segmentation | —Unverified | 0 |
| NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation | Apr 19, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Parametrization of stochastic inputs using generative adversarial networks with application in geology | Apr 7, 2019 | Dimensionality Reductionparameter estimation | —Unverified | 0 |
| Intent-Aware Probabilistic Trajectory Estimation for Collision Prediction with Uncertainty Quantification | Apr 4, 2019 | PredictionUncertainty Quantification | —Unverified | 0 |
| Robust Deep Gaussian Processes | Apr 4, 2019 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models | Mar 23, 2019 | regressionTime Series Analysis | —Unverified | 0 |
| Data Augmentation for Bayesian Deep Learning | Mar 22, 2019 | Data AugmentationDeep Learning | —Unverified | 0 |
| Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification | Mar 21, 2019 | ClusteringDimensionality Reduction | —Unverified | 0 |
