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Uncertainty Quantification

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TitleStatusHype
Deep Deterministic Uncertainty: A New Simple Baseline—0
Deep convolutional neural networks for uncertainty propagation in random fields—0
Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction—0
Bayesian multi--dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings—0
DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting—0
A data-driven model order reduction approach for Stokes flow through random porous media—0
Deep interpretable ensembles—0
An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds—0
Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning—0
Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological Systems—0
Deep Learning: A Tutorial—0
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification—0
Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics—0
Deep learning electromagnetic inversion with convolutional neural networks—0
Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems—0
Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs—0
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems—0
Dual Random Fields and their Application to Mineral Potential Mapping—0
Deep composition of tensor-trains using squared inverse Rosenblatt transports—0
Deep Compositional Spatial Models—0
Deep neural network surrogates for non-smooth quantities of interest in shape uncertainty quantification—0
Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing—0
DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories—0
Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles—0
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis—0
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