| JaxSGMC: Modular stochastic gradient MCMC in JAX | May 16, 2025 | Deep LearningStochastic Optimization | CodeCode Available | 1 | 5 |
| Edge Tracing using Gaussian Process Regression | Nov 5, 2021 | regressionUncertainty Quantification | CodeCode Available | 1 | 5 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 | 5 |
| Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels | Sep 6, 2024 | Drug Discoveryregression | CodeCode Available | 1 | 5 |
| Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation | Sep 12, 2023 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 | 5 |
| Evidential Deep Learning to Quantify Classification Uncertainty | Jun 5, 2018 | Deep LearningGeneral Classification | CodeCode Available | 1 | 5 |
| AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting | Feb 14, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 | 5 |
| Bayesian graph convolutional neural networks via tempered MCMC | Apr 17, 2021 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification | Nov 11, 2024 | BenchmarkingImage Segmentation | CodeCode Available | 1 | 5 |
| Deep Evidential Regression | Oct 7, 2019 | regressionUncertainty Quantification | CodeCode Available | 1 | 5 |