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Uncertainty Quantification

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Showing 601–650 of 2366 papers

TitleStatusHype
Real-Time Stochastic Terrain Mapping and Processing for Autonomous Safe Landing—0
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural NetworksCode0
Harnessing On-Machine Metrology Data for Prints with a Surrogate Model for Laser Powder Directed Energy Deposition—0
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks—0
Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods—0
Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification—0
Modelling Global Trade with Optimal TransportCode1
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling—0
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty QuantificationCode0
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks—0
K-Fold Causal BART for CATE Estimation—0
Inference for Large Scale Regression Models with Dependent Errors—0
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks—0
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression LabelsCode1
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior NetworksCode0
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior—0
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift—0
Tensor network square root Kalman filter for online Gaussian process regression—0
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation—0
Reservoir Static Property Estimation Using Nearest-Neighbor Neural Network—0
(Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models—0
Conformal Prediction in Dynamic Biological Systems—0
Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes—0
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image ClassificationCode1
Formal Verification and Control with Conformal Prediction—0
Gradient-free variational learning with conditional mixture networksCode1
Machine learning models for daily rainfall forecasting in Northern Tropical Africa using tropical wave predictorsCode0
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification—0
Analysis of Diagnostics (Part II): Prevalence, Linear Independence, and Unsupervised Learning—0
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations—0
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-RaysCode1
Estimating Uncertainty with Implicit Quantile Network—0
Uncertainties of Latent Representations in Computer Vision—0
Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction—0
General Intelligent Imaging and Uncertainty Quantification by Deterministic Diffusion Model—0
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time EstimationCode0
How disentangled are your classification uncertainties?—0
Conformalized Interval Arithmetic with Symmetric CalibrationCode0
Multilevel CNNs for Parametric PDEs based on Adaptive Finite Elements—0
Total Uncertainty Quantification in Inverse PDE Solutions Obtained with Reduced-Order Deep Learning Surrogate Models—0
Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models—0
Uncertainty Quantification of Surrogate Models using Conformal PredictionCode1
Parameterized Physics-informed Neural Networks for Parameterized PDEs—0
Deep Generative Classification of Blood Cell MorphologyCode1
Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems—0
Adaptive Uncertainty Quantification for Generative AI—0
Uncertainty Quantification in Alzheimer's Disease Progression Modeling—0
Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology—0
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data UncertaintyCode0
Quantifying uncertainty in climate projections with conformal ensembles—0
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