| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 |
| WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution | Jan 20, 2022 | Uncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and Comparisons | Jan 19, 2022 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 2 |
| Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification | Jan 19, 2022 | DecoderImage-to-Image Regression | —Unverified | 0 |
| Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution | Jan 17, 2022 | DenoisingUncertainty Quantification | —Unverified | 0 |
| Better Uncertainty Quantification for Machine Translation Evaluation | Jan 16, 2022 | Machine TranslationTranslation | —Unverified | 0 |
| Probabilistic Mass Mapping with Neural Score Estimation | Jan 14, 2022 | Uncertainty Quantification | —Unverified | 0 |
| A Kernel-Expanded Stochastic Neural Network | Jan 14, 2022 | ImputationPrediction | CodeCode Available | 0 |
| An Overview of Uncertainty Quantification Methods for Infinite Neural Networks | Jan 13, 2022 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical Discovery with Chemical Accuracy | Jan 11, 2022 | DiagnosticProperty Prediction | —Unverified | 0 |
