| Uncertainty Evaluation Metric for Brain Tumour Segmentation | May 28, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Physically interpretable machine learning algorithm on multidimensional non-linear fields | May 28, 2020 | BIG-bench Machine LearningData Compression | —Unverified | 0 |
| Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification | May 24, 2020 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | CodeCode Available | 0 |
| Causal Bayesian Optimization | May 24, 2020 | Bayesian OptimizationCausal Inference | —Unverified | 0 |
| Multi-view polarimetric scattering cloud tomography and retrieval of droplet size | May 22, 2020 | Computed Tomography (CT)Retrieval | —Unverified | 0 |
| Unsupervised Quality Estimation for Neural Machine Translation | May 21, 2020 | Machine TranslationTranslation | CodeCode Available | 1 |
| A Bayesian - Deep Learning model for estimating Covid-19 evolution in Spain | May 20, 2020 | Uncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification Using Neural Networks for Molecular Property Prediction | May 20, 2020 | Drug DiscoveryExperimental Design | CodeCode Available | 1 |
| Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors | May 14, 2020 | Uncertainty Quantification | —Unverified | 0 |
| A Closed-Form Uncertainty Propagation in Non-Rigid Structure from Motion | May 10, 2020 | FormUncertainty Quantification | CodeCode Available | 0 |
| Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs | May 2, 2020 | ManagementUncertainty Quantification | —Unverified | 0 |
| Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models | Apr 27, 2020 | counterfactualCounterfactual Reasoning | —Unverified | 0 |
| Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network | Apr 25, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation | Apr 23, 2020 | DenoisingForm | CodeCode Available | 0 |
| Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms | Apr 22, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics | Apr 16, 2020 | AnatomyUncertainty Quantification | —Unverified | 0 |
| Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization | Apr 16, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Hidden Markov Neural Networks | Apr 15, 2020 | Continual LearningTime Series | —Unverified | 0 |
| Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring | Apr 10, 2020 | Bayesian InferencePrediction | —Unverified | 0 |
| Stochastic spectral embedding | Apr 9, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks | Apr 9, 2020 | Load ForecastingTime Series | —Unverified | 0 |
| B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning | Apr 6, 2020 | Bayesian InferenceImage Captioning | —Unverified | 0 |
| Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach | Apr 1, 2020 | Seismic ImagingSensitivity | CodeCode Available | 1 |
| From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction | Apr 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration | Mar 28, 2020 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
