| Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability | Oct 20, 2023 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI | Jan 18, 2021 | regressionUncertainty Quantification | CodeCode Available | 0 |
| Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference | May 24, 2023 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Deep Fundamental Factor Models | Mar 18, 2019 | Uncertainty Quantification | CodeCode Available | 0 |
| Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning | Feb 13, 2018 | ManagementSuper-Resolution | CodeCode Available | 0 |
| Deep Ensembles Work, But Are They Necessary? | Feb 14, 2022 | DiversityUncertainty Quantification | CodeCode Available | 0 |
| Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models | Jul 19, 2024 | Decision MakingDrug Discovery | CodeCode Available | 0 |
| Statistical Finite Elements via Langevin Dynamics | Oct 21, 2021 | Uncertainty Quantification | CodeCode Available | 0 |
| Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization | Sep 27, 2023 | DiversityOut-of-Distribution Detection | CodeCode Available | 0 |
| MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification | Aug 24, 2021 | Breast Cancer Histology Image ClassificationClassification | CodeCode Available | 0 |
