| 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 |
| Uncertainty quantification of molecular property prediction with Bayesian neural networks | Mar 20, 2019 | Molecular Property PredictionProperty Prediction | —Unverified | 0 |
| Deep Fundamental Factor Models | Mar 18, 2019 | Uncertainty Quantification | CodeCode Available | 0 |
| On the Computation and Applications of Large Dense Partial Correlation Networks | Mar 17, 2019 | Dimensionality ReductionModel Selection | —Unverified | 0 |
