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Uncertainty Quantification

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Showing 2301–2350 of 2366 papers

TitleStatusHype
Surrogate-assisted parallel tempering for Bayesian neural learningCode0
Uncertainty quantification of molecular property prediction using Bayesian neural network models—0
Quantifying Uncertainties in Natural Language Processing Tasks—0
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control—0
Langevin-gradient parallel tempering for Bayesian neural learningCode0
Adversarial Uncertainty Quantification in Physics-Informed Neural NetworksCode0
Uncertainty in Neural Networks: Approximately Bayesian EnsemblingCode0
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems—0
Data-driven polynomial chaos expansion for machine learning regression—0
Estimating Failure in Brittle Materials using Graph Theory—0
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors—0
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization—0
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical GuaranteesCode0
Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networksCode0
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous mediaCode0
Fully Nonparametric Bayesian Additive Regression Trees—0
Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting—0
Neural-net-induced Gaussian process regression for function approximation and PDE solution—0
A data-driven model order reduction approach for Stokes flow through random porous media—0
Bayesian approach to model-based extrapolation of nuclear observables—0
Dirichlet-based Gaussian Processes for Large-scale Calibrated ClassificationCode0
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models—0
Deep Directional Statistics: Pose Estimation with Uncertainty QuantificationCode0
Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in BadlandsCode0
Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation—0
Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models—0
Dimension-Robust MCMC in Bayesian Inverse Problems—0
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled ApproachCode0
Constraining the Dynamics of Deep Probabilistic Models—0
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation—0
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep LearningCode0
Bayesian Coreset Construction via Greedy Iterative Geodesic AscentCode0
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification—0
Statistical Inference for the Population Landscape via Moment Adjusted Stochastic Gradients—0
Stochastic reconstruction of an oolitic limestone by generative adversarial networksCode0
Mondrian Processes for Flow Cytometry Analysis—0
A machine learning approach for efficient uncertainty quantification using multiscale methods—0
An asymptotic analysis of distributed nonparametric methods—0
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data—0
Sequential Design and Spatial Modeling for Portfolio Tail Risk Measurement—0
An Ensemble Quadratic Echo State Network for Nonlinear Spatio-Temporal Forecasting—0
Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty—0
Continuum Limit of Posteriors in Graph Bayesian Inverse Problems—0
Bayesian multi--dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings—0
Uncertainty Quantification of Oscillation Suppression during DBS in a Coupled Finite Element and Network Model—0
Machine learning for graph-based representations of three-dimensional discrete fracture networks—0
Uncertainty quantification in graph-based classification of high dimensional data—0
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs—0
Estimating the reproductive number, total outbreak size, and reporting rates for Zika epidemics in South and Central America—0
Semi-parametric Network Structure Discovery Models—0
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