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Uncertainty Quantification

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Showing 51–75 of 2366 papers

TitleStatusHype
On the Need to Align Intent and Implementation in Uncertainty Quantification for Machine Learning—0
Discovery of Probabilistic Dirichlet-to-Neumann Maps on Graphs—0
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning—0
UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs—0
Understanding while Exploring: Semantics-driven Active Mapping—0
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows—0
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty—0
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreementCode0
GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data—0
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents—0
Judging LLMs on a Simplex—0
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification—0
Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning—0
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score—0
STACI: Spatio-Temporal Aleatoric Conformal Inference—0
Humble AI in the real-world: the case of algorithmic hiring—0
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects—0
Variational Deep Learning via Implicit Regularization—0
Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models—0
WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts—0
Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?—0
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs—0
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees—0
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks—0
Do Large Language Models (Really) Need Statistical Foundations?—0
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