Papers Using This Method
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning2025-07-10Last Layer Empirical Bayes2025-05-21Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles2025-05-19Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles2025-05-16Hesitation is defeat? Connecting Linguistic and Predictive Uncertainty2025-05-06Evaluating Uncertainty in Deep Gaussian Processes2025-04-24Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation2025-03-28On Local Posterior Structure in Deep Ensembles2025-03-17Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model2025-03-14OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction2025-03-13Improving Deep Ensembles by Estimating Confusion Matrices2025-03-10The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE2025-02-24UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization2025-02-03Deep Ensembles Secretly Perform Empirical Bayes2025-01-29HopCast: Calibration of Autoregressive Dynamics Models2025-01-27Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles2024-12-20Uncertainty separation via ensemble quantile regression2024-12-18Bayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case study on sodium fast reactor thermal stratification modeling2024-12-11Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification2024-11-26DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods2024-11-13