| Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs | Sep 26, 2024 | BenchmarkingConformal Prediction | CodeCode Available | 0 | 5 |
| Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR) | May 29, 2022 | Conformal PredictionDensity Estimation | CodeCode Available | 0 | 5 |
| Estimation and Applications of Quantiles in Deep Binary Classification | Feb 9, 2021 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events | Dec 18, 2024 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model | Oct 9, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs | Apr 18, 2025 | Information RetrievalUncertainty Quantification | CodeCode Available | 0 | 5 |
| Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability | Oct 20, 2023 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| Being a Bit Frequentist Improves Bayesian Neural Networks | Jun 18, 2021 | Bayesian InferenceOut of Distribution (OOD) Detection | 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 |
