| Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression | Nov 11, 2022 | regressionTime Series | —Unverified | 0 |
| Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models | Nov 11, 2022 | Image-to-Image TranslationOut-of-Distribution Detection | —Unverified | 0 |
| Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors | Nov 11, 2022 | regressionUncertainty Quantification | CodeCode Available | 1 |
| Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training | Nov 10, 2022 | Computational EfficiencyUncertainty Quantification | —Unverified | 0 |
| 4DVarNet-SSH: end-to-end learning of variational interpolation schemes for nadir and wide-swath satellite altimetry | Nov 10, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian score calibration for approximate models | Nov 10, 2022 | Bayesian Inferencescoring rule | CodeCode Available | 0 |
| Sparse Bayesian Lasso via a Variable-Coefficient _1 Penalty | Nov 9, 2022 | regressionUncertainty Quantification | —Unverified | 0 |
| Gradient-enhanced deep neural network approximations | Nov 8, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification for Atlas-Level Cell Type Transfer | Nov 7, 2022 | DiversityUncertainty Quantification | —Unverified | 0 |
| Multi-output Gaussian processes for inverse uncertainty quantification in neutron noise analysis | Nov 4, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
