| Nonparametric Uncertainty Quantification for Single Deterministic Neural Network | Feb 7, 2022 | text-classificationText Classification | CodeCode Available | 1 |
| Non-parametric Uncertainty Assessment in Deep-Learning Based Affine Image Registration | Feb 4, 2022 | Affine Image RegistrationDeep Learning | —Unverified | 0 |
| Deformable Image Registration uncertainty quantification using deep learning for dose accumulation in adaptive proton therapy | Feb 4, 2022 | AnatomyImage Registration | —Unverified | 0 |
| Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning | Jan 31, 2022 | Pseudo LabelUncertainty Quantification | —Unverified | 0 |
| Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems | Jan 31, 2022 | Uncertainty QuantificationZero-Shot Learning | —Unverified | 0 |
| UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs | Jan 31, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Counterfactual Plans under Distributional Ambiguity | Jan 29, 2022 | counterfactualUncertainty Quantification | CodeCode Available | 0 |
| A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information | Jan 26, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Analytic Mutual Information in Bayesian Neural Networks | Jan 24, 2022 | Active Learningparameter estimation | —Unverified | 0 |
| Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport | Jan 24, 2022 | Point ProcessesUncertainty Quantification | CodeCode Available | 0 |
