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| Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science | Nov 15, 2023 | RetrievalUncertainty Quantification | CodeCode Available | 0 |
| Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs | Sep 26, 2024 | BenchmarkingConformal Prediction | CodeCode Available | 0 |
| Semantic uncertainty intervals for disentangled latent spaces | Jul 20, 2022 | Image Super-Resolutionquantile regression | CodeCode Available | 0 |
| Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis, and prediction in the life sciences | Jul 4, 2023 | CaricatureUncertainty Quantification | CodeCode Available | 0 |
| SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals | May 28, 2024 | PredictionPrediction Intervals | CodeCode Available | 0 |
| Implicit Generative Prior for Bayesian Neural Networks | Apr 27, 2024 | Classification ConsistencyComputational Efficiency | CodeCode Available | 0 |
| Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model | Aug 11, 2022 | SpecificityUncertainty Quantification | CodeCode Available | 0 |
| Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty | Nov 15, 2023 | Classificationimage-classification | CodeCode Available | 0 |
| Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data | Jan 18, 2019 | Small Data Image ClassificationUncertainty Quantification | CodeCode Available | 0 |
