Uncertainty Quantification

Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI MIDL 2026 Bootstrapping Multi-view Learning for Test-time Noisy Correspondence CVPR 2026 Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling CVPR 2026 Conditional neural control variates for variance reduction in Bayesian inverse problems UAI 2026 CURA: Clinical Uncertainty Risk Alignment for Language Model–Based Risk Prediction ACL 2026 Enhancing Accuracy of Uncertainty Estimation in Appearance-based Gaze Tracking with Probabilistic Evaluation and Calibration CVPR 2026 Evidential DualU-Net: Single-Pass Uncertainty for Cell Instance Segmentation MIDL 2026 Evidential Neural Radiance Fields CVPR 2026 Evidential Retriever: Uncertainty-Aware Medical Image Retrieval MIDL 2026 Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation CVPR 2026 Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift CVPR 2026 FisherPoser: Human Motion Estimation from Sparse Observations with Hierarchical Region-Wise Fisher-Matrix Uncertainty Modeling CVPR 2026 Heteroscedastic Heatmap Regression for Reliable Pectoral Muscle Segmentation in Mammography MIDL 2026 HierUQ: Hierarchical Uncertainty Quantification with Adaptive Granularity Reconciliation for Degraded Image Classification CVPR 2026 More is more: leveraging multi-rater information for whole slide images grading via virtual expert panel MIDL 2026 Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation MIDL 2026 Quantifying and Understanding Uncertainty in Large Reasoning Models ACL 2026 Scmhl5 at SemEval-2026 Task 3: Uncertainty-Aware Adversarial Learning for Embedding Enhancement in Dimensional Aspect-Based Sentiment Analysis SemEval 2026 Testing the Trust: Verification and Validation of Bayesian Segmentation under Uncertainty MIDL 2026 The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks JMLR 2026 Time-aware Motion Planning in Dynamic Environments with Conformal Prediction L4DC 2026 TUNE++: Topology-Guided Uncertainty Estimation for Reliable 3D Medical Image Segmentation MIDL 2026 Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026 Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field CVPR 2026 UQLM: A Python Package for Uncertainty Quantification in Large Language Models JMLR 2026