QUIET 2017 - Quantification of Uncertainty: Improving Efficiency and Technology

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Discussion

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An Efficient Reduced Basis Solver for Stochastic Galerkin Matrix Equations

Collocation Methods for Exploring Perturbations in Linear Stability Analysis

Compressed sensing reconstruction of Hilbert-valued solutions to parametrized PDEs

Conditional Expectation as the Basis of Bayesian Updating

Dictionary measurement selection for state estimation with reduced basis

Goal-oriented error estimation for fast approximations of nonlinear problems

Hessian-based sampling for goal-oriented model reduction

Improving Sampling-based Uncertainty Quantification Performance Through Embedded Ensemble Propagation

It's Really Dark Down There: UQ in Groundwater Hydrology

Model order reduction for real time decisions from incomplete and uncertain measurements

Modeling variability in cardiac electrophysiology

Multi-Index polynomial chaos methods for random PDEs

Multifidelity methods for uncertainty propagation and rare event simulation

Multilevel Sequential Monte Carlo for Bayesian Inverse Problems

Multivariate approximation in downward closed polynomial spaces

Operator based multi-scale analysis of simulation bundles

Recent advances in compressed sensing techniques for the numerical approximation of PDEs

Reduced-order models with space-adapted snapshots

Scalable Hierarchical Sampling of Gaussian Random Fields for Large-Scale Multilevel Monte Carlo Simulations

Scalable solvers for meshless methods on many-core clusters

Sensitivity Analysis and Active Subspace Construction for Surrogate Models Employed for Bayesian Inference

Sparse approximation of high-dimensional functions via convex and nonconvex regularizations

Sparse grid approximation of elliptic PDEs with lognormal diffusion coefficient

Sparse Grid Methods in Uncertainty Quantification

Spectral stochastic finite elements for two nonlinear problems

Stabilization of EIM and PBDW Methods with Noisy Observations

Stochastic sensitivity analysis to grid resolution and closure modeling in large-eddy simulation

Structure Preserving Reduced Order Models

Tackling UQ in DARMA, a Programming Model for Task-Based Execution at Extreme-Scale

Uncertainty Quantification in Materials Modeling

Weighted reduced order methods for parametrized PDEs with random inputs

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7/18/17

7/19/17

7/20/17

7/21/17

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