| 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 |
