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| DROMO: Distributionally Robust Offline Model-based Policy Optimization | Sep 15, 2021 | modelUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net | Sep 15, 2021 | DecoderImage Segmentation | —Unverified | 0 |
| A framework for benchmarking uncertainty in deep regression | Sep 10, 2021 | Benchmarkingregression | —Unverified | 0 |
| Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors | Sep 8, 2021 | Experimental DesignUncertainty Quantification | —Unverified | 0 |
| AdjointNet: Constraining machine learning models with physics-based codes | Sep 8, 2021 | Active LearningBIG-bench Machine Learning | —Unverified | 0 |
| Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations | Sep 5, 2021 | NeRFNovel View Synthesis | —Unverified | 0 |
| Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images | Aug 31, 2021 | Image SegmentationMedical Image Segmentation | —Unverified | 0 |
| Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks | Aug 30, 2021 | Uncertainty Quantification | CodeCode Available | 0 |
| Uncertainty quantification for multiclass data description | Aug 29, 2021 | ClassificationEvent Detection | —Unverified | 0 |
