uncertainty quantification

Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026 Prior-Fitted Functional Flows: In-Context Generative Models for Pharmacokinetics UAI 2026 Proof-of-Perception: Certified Tool-Using Multimodal Reasoning with Compositional Conformal Guarantees CVPR 2026 Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL 2026 Quantifying and Understanding Uncertainty in Large Reasoning Models ACL 2026 Query2Uncertainty: Robust Uncertainty Quantification and Calibration for 3D Object Detection under Distribution Shift CVPR 2026 Reasoning about Uncertainty: Do Reasoning Models Know When They Don’t Know? EACL 2026 Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion AAAI 2026 Reliable Conformal Prediction for Ordinal Classification Using the Ranked Probability Score UAI 2026 Reliable Policy Transfer for Safety-Aware End-to-End Driving with Deep Reinforcement Learning CVPR 2026 Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features UAI 2026 RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials AAAI 2026 Runtime Safety and Reach-avoid Prediction of Stochastic Systems via Observation-aware Barrier Functions AAAI 2026 Safe Control using Learned Safety Filters and Adaptive Conformal Inference L4DC 2026 Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models AAAI 2026 Scalable Vision-Guided Crop Yield Estimation AAAI 2026 SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning AAAI 2026 Semantic Self-Distillation for Language Model Uncertainty UAI 2026 Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models EACL 2026 Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs AAAI 2026 Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score CVPR 2026 SeSE: Black-Box Uncertainty Quantification for Large Language Models Based on Structural Information Theory UAI 2026 SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026 Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation JMLR 2026 Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition L4DC 2026