| Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation | Apr 10, 2018 | General ClassificationIschemic Stroke Lesion Segmentation | —Unverified | 0 |
| Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models | Mar 28, 2018 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Dimension-Robust MCMC in Bayesian Inverse Problems | Mar 9, 2018 | Active LearningEfficient Exploration | —Unverified | 0 |
| High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach | Feb 20, 2018 | FormPrediction Intervals | CodeCode Available | 0 |
| Constraining the Dynamics of Deep Probabilistic Models | Feb 15, 2018 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation | Feb 13, 2018 | Uncertainty Quantification | —Unverified | 0 |
| Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning | Feb 13, 2018 | ManagementSuper-Resolution | CodeCode Available | 0 |
| Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent | Feb 5, 2018 | Uncertainty Quantification | CodeCode Available | 0 |
| Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification | Feb 2, 2018 | Uncertainty Quantification | CodeCode Available | 1 |
| Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification | Jan 21, 2018 | Bayesian InferenceDecoder | —Unverified | 0 |
