| Bayesian Learning for Neural Networks: an algorithmic survey | Nov 21, 2022 | Bayesian InferenceSurvey | —Unverified | 0 |
| Compositional Scene Modeling with Global Object-Centric Representations | Nov 21, 2022 | ObjectPatch Matching | —Unverified | 0 |
| Deep Gaussian Processes for Air Quality Inference | Nov 18, 2022 | Air Quality InferenceGaussian Processes | CodeCode Available | 0 |
| Prediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux Profiles with Neural Networks | Nov 16, 2022 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Hierarchical Phrase-based Sequence-to-Sequence Learning | Nov 15, 2022 | Inductive BiasMachine Translation | CodeCode Available | 1 |
| Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors | Nov 15, 2022 | AnatomyDisentanglement | —Unverified | 0 |
| On the Performance of Direct Loss Minimization for Bayesian Neural Networks | Nov 15, 2022 | Variational Inference | —Unverified | 0 |
| Variational Augmentation for Enhancing Historical Document Image Binarization | Nov 12, 2022 | BinarizationSegmentation | CodeCode Available | 0 |
| Towards Improved Learning in Gaussian Processes: The Best of Two Worlds | Nov 11, 2022 | Binary ClassificationGaussian Processes | —Unverified | 0 |
| Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors | Nov 11, 2022 | regressionUncertainty Quantification | CodeCode Available | 1 |
