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Uncertainty Quantification

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Showing 351–400 of 2366 papers

TitleStatusHype
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty—0
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents—0
Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning—0
GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data—0
Judging LLMs on a Simplex—0
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification—0
STACI: Spatio-Temporal Aleatoric Conformal Inference—0
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score—0
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects—0
Humble AI in the real-world: the case of algorithmic hiring—0
Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models—0
Variational Deep Learning via Implicit Regularization—0
Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?—0
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks—0
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs—0
WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts—0
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees—0
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference—0
Do Large Language Models (Really) Need Statistical Foundations?—0
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models—0
Optimal Conformal Prediction under Epistemic UncertaintyCode0
Asymmetric Duos: Sidekicks Improve Uncertainty—0
Scalable Gaussian Processes with Low-Rank Deep Kernel Decomposition—0
Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares—0
Tube Loss based Deep Networks For Improving the Probabilistic Forecasting of Wind Speed—0
Bayesian Deep Learning for Discrete Choice—0
Model-based Estimation of Difference-in-Differences with Staggered Treatments—0
Integral Imprecise Probability Metrics—0
Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation—0
A Generic Framework for Conformal FairnessCode0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings—0
Large-Scale Bayesian Tensor Reconstruction: An Approximate Message Passing Solution—0
Exponential Convergence of CAVI for Bayesian PCA—0
Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools—0
Gaussian Processes in Power Systems: Techniques, Applications, and Future Works—0
Last Layer Empirical Bayes—0
Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification—0
Uncertainty Quantification in SVM predictionCode0
SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival AnalysisCode0
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition—0
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles—0
Spline Dimensional Decomposition with Interpolation-based Optimal Knot Selection for Stochastic Dynamic Analysis—0
Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian ProcessesCode0
Are vision language models robust to uncertain inputs?—0
Modèles de Substitution pour les Modèles à base d'Agents : Enjeux, Méthodes et ApplicationsCode0
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere—0
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks—0
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes—0
SPIEDiff: robust learning of long-time macroscopic dynamics from short-time particle simulations with quantified epistemic uncertainty—0
Uncertainty Quantification for Prior-Data Fitted Networks using Martingale Posteriors—0
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