{"total":13,"rows":[{"id":"2402.01960","title":"Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction","created":"2024-02-02","cited_by_count":26,"area":null},{"id":"2505.02874","title":"Uncertainty Quantification for Machine Learning in Healthcare: A Survey","created":"2025-05-04","cited_by_count":14,"area":null},{"id":"2503.00136","title":"Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography","created":"2025-02-28","cited_by_count":8,"area":null},{"id":"2405.15719","title":"Hierarchical Uncertainty Exploration via Feedforward Posterior Trees","created":"2024-05-24","cited_by_count":4,"area":null},{"id":"2312.07804","title":"Uncertainty Visualization via Low-Dimensional Posterior Projections","created":"2023-12-12","cited_by_count":3,"area":null},{"id":"2505.14113","title":"CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition","created":"2025-05-20","cited_by_count":3,"area":null},{"id":"2507.18838","title":"Flow Stochastic Segmentation Networks","created":"2025-07-24","cited_by_count":3,"area":null},{"id":"2411.00605","title":"pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization","created":"2024-11-01","cited_by_count":2,"area":null},{"id":"2502.09664","title":"Image Super-Resolution with Guarantees via Conformalized Generative Models","created":"2025-02-12","cited_by_count":1,"area":null},{"id":"2512.21685","title":"RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting","created":"2025-12-25","cited_by_count":1,"area":null},{"id":"2502.07151","title":"Conditional Distribution Quantization in Machine Learning","created":"2025-02-11","cited_by_count":0,"area":null},{"id":"2507.14760","title":"QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems","created":"2025-07-19","cited_by_count":0,"area":null},{"id":"2608.24518","title":"It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces","created":"2026-08-25","cited_by_count":0,"area":null}],"next_cursor":null}