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Uncertainty Quantification

Papers

Showing 926950 of 2366 papers

TitleStatusHype
(f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics0
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models0
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks0
Bayesian Entropy Neural Networks for Physics-Aware Prediction0
Data-driven polynomial chaos expansion for machine learning regression0
Finite Element Method-enhanced Neural Network for Forward and Inverse Problems0
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective0
Comparing the quality of neural network uncertainty estimates for classification problems0
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport0
Analytical results for uncertainty propagation through trained machine learning regression models0
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification0
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling0
A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty0
Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics0
Complementing Semi-Supervised Learning with Uncertainty Quantification0
Forecasting the future development in quality and value of professional football players for applications in team management0
Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes0
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks0
Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares0
FREIDA: A Framework for developing quantitative agent based models based on qualitative expert knowledge0
Frequentist Guarantees of Distributed (Non)-Bayesian Inference0
Accelerating Markov Random Field Inference with Uncertainty Quantification0
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence0
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions0
Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures0
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