| Estimating prevalence with precision and accuracy | Jul 8, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Conformal Thresholded Intervals for Efficient Regression | Jul 19, 2024 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 | 5 |
| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 | 5 |
| Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning | Apr 18, 2024 | Bayesian OptimizationRepresentation Learning | CodeCode Available | 0 | 5 |
| Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification | May 28, 2018 | ClassificationGaussian Processes | CodeCode Available | 0 | 5 |
| Conformal Risk Control for Pulmonary Nodule Detection | Dec 28, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak | Feb 15, 2025 | Bayesian InferenceConformal Prediction | CodeCode Available | 0 | 5 |
| Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression | Aug 17, 2023 | Age EstimationDepth Aleatoric Uncertainty Estimation | CodeCode Available | 0 | 5 |
| EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations | Mar 27, 2025 | Operator learningUncertainty Quantification | CodeCode Available | 0 | 5 |