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Papers
Spectral Conformal Risk Control: Distribution-Free Tail Guarantees via Bayesian Quadrature
CVPR 2026
Streaming Generated Gaussian Process Experts for Online Learning and Control
AAAI 2026
Structured Credal Learning
UAI 2026
Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets
AAAI 2026
Teach AI What It Doesn’t Know
AAAI 2026
Testing the Trust: Verification and Validation of Bayesian Segmentation under Uncertainty
MIDL 2026
The Art of Saying "Maybe": A Conformal Lens for Uncertainty Benchmarking in VLMs
EACL 2026
Thesis Proposal: When Does an Agent Know It Is Lost? Confidence Trajectory Analysis for Tool-Using LLMs
ACL 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
Time Series Forecasting via Direct Per-Step Probability Distribution Modeling
AAAI 2026
Towards Knowledge-augmented Bayesian Deep Learning For Computer Vision
CVPR 2026
Towards Uncertainty-aware Unsupervised Domain Adaptation for Videos and Time-Series with Causal Optimal Transport
CVPR 2026
Toward Trustworthy AI for Decision Making in Population Health
AAAI 2026
TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction
AAAI 2026
TUNE++: Topology-Guided Uncertainty Estimation for Reliable 3D Medical Image Segmentation
MIDL 2026
Uncertainty-Aware Knowledge Distillation for Multimodal Large Language Models
CVPR 2026
Uncertainty-Aware Routing for Principled Alignment with MoE Dynamics
ACL 2026
Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts
WACV 2026
Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
WACV 2026
Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field
CVPR 2026
Uncertainty Quantification for Evaluating Gender Bias in Machine Translation
EACL 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
Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
ACL 2026