 A Large-Scale Study of Probabilistic Calibration in Neural Network
RegressionInternational Conference on Machine Learning (ICML), 2023 |
 Improving Uncertainty Quantification of Variance Networks by
Tree-Structured LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 |
 Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction
for Uncertainty QuantificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 |
 BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen
Neural NetworksEuropean Conference on Computer Vision (ECCV), 2022 |
