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Uncertainty Quantification

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Showing 1926–1950 of 2366 papers

TitleStatusHype
Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach—0
A Physics inspired Functional Operator for Model Uncertainty Quantification in the RKHS—0
A Data-Driven Uncertainty Quantification Method for Stochastic Economic Dispatch—0
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression—0
Machine-Learned HASDM Model with Uncertainty Quantification—0
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation—0
DROMO: Distributionally Robust Offline Model-based Policy Optimization—0
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net—0
A framework for benchmarking uncertainty in deep regression—0
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors—0
AdjointNet: Constraining machine learning models with physics-based codes—0
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations—0
Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images—0
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural NetworksCode0
Uncertainty quantification for multiclass data description—0
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment—0
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image ClassificationCode0
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ballCode0
Teaching Uncertainty Quantification in Machine Learning through Use Cases—0
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra—0
Uncertainty quantification for industrial design using dictionaries of reduced order models—0
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities—0
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach—0
Statistical Analysis of Wasserstein Distributionally Robust Estimators—0
Accelerating Markov Random Field Inference with Uncertainty Quantification—0
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