epistemic uncertainty

An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression UAI 2026 ATOM-CBF: Adaptive Safe Perception-Based Control under Out-of-Distribution Measurements L4DC 2026 BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026 Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models AAAI 2026 Controllable Epistemic Sensitivity in Large Language Models: Probing, Benchmarking, and Adaptive Reasoning AAAI 2026 Credal Concept Bottleneck Models for Epistemic–Aleatoric Uncertainty Decomposition ACL 2026 Evidential Neural Radiance Fields CVPR 2026 Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach AAAI 2026 Instrumental and Proximal Causal Inference with Gaussian Processes UAI 2026 Landmark Detection Uncertainty as a Reliability Weight for Robust Landmark-based 2D/3D Pelvic Pose Estimation MIDL 2026 Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions UAI 2026 Optimal Conformal Prediction under Epistemic Uncertainty UAI 2026 PCU: Perturbation-Calibrated Uncertainty for Unsupervised Anomaly Detection UAI 2026 Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification AAAI 2026 py/cuTAGI: An Open-Source Library for Tractable Approximate Gaussian Inference in Bayesian Neural Networks JMLR 2026 Quantification of Credal Uncertainty: A Distance-Based Approach UAI 2026 Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study UAI 2026 Thesis Proposal: Self-Adaptive and Epistemic Uncertainty-Guided ASR of Dense Intra-Sentential Code-Switched Speech for African Low-Resource Languages ACL 2026 TUNE++: Topology-Guided Uncertainty Estimation for Reliable 3D Medical Image Segmentation MIDL 2026 UIT-AMMC at SemEval-2026 Task 13: Exploiting Structural Formatting Signatures for Robust AI-Generated Code Detection SemEval 2026 Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models CVPR 2026 Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026 Uncertainty Quantification for Regression: A Unified Framework based on kernel scores UAI 2026 Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract) AAAI 2026 WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning L4DC 2026