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| High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach | Feb 20, 2018 | FormPrediction Intervals | CodeCode Available | 0 | 5 |
| A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification | Jan 13, 2020 | Seismic ImagingUncertainty Quantification | CodeCode Available | 0 | 5 |
| Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems? | Mar 4, 2025 | Image InpaintingRetrieval | CodeCode Available | 0 | 5 |
| Can Uncertainty Quantification Enable Better Learning-based Index Tuning? | Oct 23, 2024 | ManagementUncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE) | Feb 7, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning | Aug 25, 2022 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling | Dec 1, 2019 | Bayesian InferenceDeblurring | CodeCode Available | 0 | 5 |
| An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling | Jul 16, 2021 | quantile regressionUncertainty Quantification | CodeCode Available | 0 | 5 |
