{"total":21,"rows":[{"id":"2411.04852","title":"Conformalized Credal Regions for Classification with Ambiguous Ground Truth","created":"2024-11-07","cited_by_count":19,"area":null},{"id":"2410.12592","title":"Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion","created":"2024-10-16","cited_by_count":9,"area":null},{"id":"2505.04950","title":"Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'","created":"2025-05-08","cited_by_count":8,"area":null},{"id":"2505.22332","title":"Credal Prediction based on Relative Likelihood","created":"2025-05-28","cited_by_count":8,"area":null},{"id":"2502.06331","title":"Conformal Prediction Regions are Imprecise Highest Density Regions","created":"2025-02-10","cited_by_count":7,"area":null},{"id":"2502.16299","title":"A calibration test for evaluating set-based epistemic uncertainty representations","created":"2025-02-22","cited_by_count":7,"area":null},{"id":"2602.01667","title":"Beyond Prediction-Set Size: Quantifying Conformal Uncertainty through Credal Geometry","created":"2026-02-02","cited_by_count":4,"area":null},{"id":"2501.06066","title":"Distilling Calibration via Conformalized Credal Inference","created":"2025-01-10","cited_by_count":3,"area":null},{"id":"2505.04733","title":"Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting","created":"2025-05-07","cited_by_count":3,"area":null},{"id":"2505.19033","title":"Optimal Conformal Prediction under Epistemic Uncertainty","created":"2025-05-25","cited_by_count":3,"area":null},{"id":"2608.23244","title":"Credal Large Language Models for Semantic Commitment under Uncertainty","created":"2026-08-24","cited_by_count":2,"area":null},{"id":"2410.15772","title":"Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark","created":"2024-10-21","cited_by_count":1,"area":null},{"id":"2603.08495","title":"Efficient Credal Prediction through Decalibration","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2603.14070","title":"Structured Credal Learning","created":"2026-03-14","cited_by_count":1,"area":null},{"id":"2605.23189","title":"Empirical Bayes Conformal Prediction for Vision and Language Models","created":"2026-05-22","cited_by_count":1,"area":null},{"id":"2602.11219","title":"Structurally Separated Uncertainty in Supervised Latent Variable Models","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2603.06826","title":"CREDO: Epistemic-Aware Conformalized Credal Envelopes for Regression","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2603.23558","title":"Upper Entropy for 2-Monotone Lower Probabilities","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2604.27149","title":"ConformaDecompose: Explaining Uncertainty via Calibration Localization","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2606.19569","title":"On the QUEST for Uncertainty Quantification via Highest Density Regions","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2610.00523","title":"SimplexUQ: An Evaluation Framework and Benchmark for Conformal Uncertainty on Simplex-Valued Predictions","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}