| Physics Informed Deep Kernel Learning | Jun 8, 2020 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Bayesian Hidden Physics Models: Uncertainty Quantification for Discovery of Nonlinear Partial Differential Operators from Data | Jun 7, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Sparse representation for damage identification of structural systems | Jun 6, 2020 | Bayesian OptimizationUncertainty Quantification | —Unverified | 0 |
| Entropy-Regularized 2-Wasserstein Distance between Gaussian Measures | Jun 5, 2020 | FormUncertainty Quantification | —Unverified | 0 |
| A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables | Jun 2, 2020 | Uncertainty Quantification | CodeCode Available | 0 |
| Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring | Jun 1, 2020 | Blind Image DeblurringDeblurring | —Unverified | 0 |
| Semi-supervised deep learning for high-dimensional uncertainty quantification | Jun 1, 2020 | Deep LearningDimensionality Reduction | —Unverified | 0 |
| 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 |
