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Uncertainty Quantification

Papers

Showing 651675 of 2366 papers

TitleStatusHype
Reference-free Hallucination Detection for Large Vision-Language Models0
The evolution of systems biology and systems medicine: From mechanistic models to uncertainty quantification0
Confident magnitude-based neural network pruning0
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models0
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling0
Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks0
NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds0
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts0
DUST: A Framework for Data-Driven Density Steering0
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural OperatorsCode1
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification0
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge0
Robust Conformal Volume Estimation in 3D Medical ImagesCode0
Machine Learning for Predicting Chaotic Systems0
Uncertainty Quantification of Data Shapley via Statistical Inference0
Bayesian meta learning for trustworthy uncertainty quantification0
Interpreting artificial neural networks to detect genome-wide association signals for complex traitsCode0
Multi-group Uncertainty Quantification for Long-form Text Generation0
Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification TasksCode1
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active SensingCode0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanics0
Practical multi-fidelity machine learning: fusion of deterministic and Bayesian modelsCode0
Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks0
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity ModelsCode0
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