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Uncertainty Quantification

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Showing 651–700 of 2366 papers

TitleStatusHype
Reference-free Hallucination Detection for Large Vision-Language Models—0
The evolution of systems biology and systems medicine: From mechanistic models to uncertainty quantification—0
Confident magnitude-based neural network pruning—0
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models—0
Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks—0
NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds—0
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling—0
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts—0
DUST: A Framework for Data-Driven Density Steering—0
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 quantification—0
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge—0
Machine Learning for Predicting Chaotic Systems—0
Robust Conformal Volume Estimation in 3D Medical ImagesCode0
Uncertainty Quantification of Data Shapley via Statistical Inference—0
Bayesian meta learning for trustworthy uncertainty quantification—0
Interpreting artificial neural networks to detect genome-wide association signals for complex traitsCode0
Multi-group Uncertainty Quantification for Long-form Text Generation—0
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 mechanics—0
Practical multi-fidelity machine learning: fusion of deterministic and Bayesian modelsCode0
Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks—0
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity ModelsCode0
Conformal Thresholded Intervals for Efficient RegressionCode0
High-Dimensional Confidence Regions in Sparse MRI—0
With or Without Replacement? Improving Confidence in Fourier Imaging—0
Deterministic Trajectory Optimization through Probabilistic Optimal Control—0
Non-Asymptotic Uncertainty Quantification in High-Dimensional LearningCode0
Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability—0
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation—0
SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification—0
Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic SclerosisCode0
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement—0
Uncertainty Quantification to Enhance Probabilistic Fusion Based User Identification Using SmartphonesCode0
Improved Uncertainty Estimation of Graph Neural Network Potentials Using Engineered Latent Space Distances—0
PULPo: Probabilistic Unsupervised Laplacian Pyramid RegistrationCode0
Estimation of spatio-temporal extremes via generative neural networksCode0
Gaussian process interpolation with conformal prediction: methods and comparative analysis—0
Subgroup-Specific Risk-Controlled Dose Estimation in RadiotherapyCode0
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and GraphsCode4
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration—0
TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification—0
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory—0
JANET: Joint Adaptive predictioN-region Estimation for Time-series—0
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads—0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
Data-centric challenges with the application and adoption of artificial intelligence for drug discovery—0
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