uncertainty quantification

LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs CVPR 2026 Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach AAAI 2026 Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory AAAI 2026 Lorentz Entailment Cone for Semantic Segmentation WACV 2026 MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events ACL 2026 Metacognitive Arbitration as Uncertainty Compression in Multi-Agent Language Models UAI 2026 Mind the Gap: Benchmarking LLM Uncertainty and Calibration with Specialty-Aware Clinical QA and Reasoning-Based Behavioural Features EACL 2026 Minimum-Length Conformal Prediction Sets for Ordinal Classification AAAI 2026 MU-GeNeRF: Multi-view Uncertainty-guided Generalizable Neural Radiance Fields for Distractor-aware Scene CVPR 2026 Multi-view Learning via Trusted Pairwise Entity Energy AAAI 2026 MUR: Momentum Uncertainty guided Reasoning for Large Language Models ACL 2026 MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation WACV 2026 MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal–Based Driver Fatigue Detection AAAI 2026 Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics UAI 2026 Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict AAAI 2026 Online Bootstrap Inference for the Trend of Nonstationary Time Series UAI 2026 Online Conformal Selection with Accept-to-Reject Changes AAAI 2026 On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference UAI 2026 OptiHive: Ensemble Selection for LLM-Based Optimization via Statistical Modeling AAAI 2026 OrgaCast: A Trustworthy Spatiotemporal Diffusion Model for Fluorescence Organoid Forecasting AAAI 2026 Perception Characteristics Distance: Measuring Stability and Robustness of Perception System in Dynamic Conditions under a Certain Decision Rule CVPR 2026 Performance of Conformal Prediction in Capturing Aleatoric Uncertainty WACV 2026 PhysGS: Bayesian-Inferred Gaussian Splatting for Physical Property Estimation CVPR 2026 Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification AAAI 2026 PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data AAAI 2026