Login

QUIET 2017 - Quantification of Uncertainty: Improving Efficiency and Technology

Jul 18 – 21, 2017
SISSA, International School for Advanced Studies, Main Campus, Trieste, Italy
Europe/Rome timezone

Contact

Contribution List

32 out of 32 displayed
  1. 47. Conditional Expectation as the Basis of Bayesian Updating
    Prof. Herman G. Matthies (Technische Universität Braunschweig, Institute of Scientific Computing)
    7/18/17, 9:30 AM
  2. 61. An Efficient Reduced Basis Solver for Stochastic Galerkin Matrix Equations
    Dr Catherine Powell (University of Manchester)
    7/18/17, 10:05 AM
  3. 48. Weighted reduced order methods for parametrized PDEs with random inputs
    Dr Francesco Ballarin (SISSA mathLab)
    7/18/17, 11:10 AM
  4. 49. Hessian-based sampling for goal-oriented model reduction
    Dr Peng Chen
    7/18/17, 11:45 AM
  5. 50. Model order reduction for real time decisions from incomplete and uncertain measurements
    Dr Laura Mainini (Massachusetts Institute of Technology and United Technologies Research Center)
    7/18/17, 12:20 PM
  6. 51. Structure Preserving Reduced Order Models
    Prof. Jan Hesthaven
    7/18/17, 2:15 PM
  7. 52. Reduced-order models with space-adapted snapshots
    Prof. Jens Lang (Technische Universität Darmstadt)
    7/18/17, 2:50 PM
  8. 53. Dictionary measurement selection for state estimation with reduced basis
    Prof. Olga Mula (Paris Dauphine)
    7/18/17, 3:55 PM
  9. 54. Goal-oriented error estimation for fast approximations of nonlinear problems
    Prof. Clémentine Prieur (Grenoble Alpes Univ., FRANCE)
    7/18/17, 4:30 PM
  10. 60. Collocation Methods for Exploring Perturbations in Linear Stability Analysis
    Prof. Howard Elman (Department of Computer Science, University of Maryland)
    7/19/17, 9:00 AM
  11. 68. Multifidelity methods for uncertainty propagation and rare event simulation
    Prof. Benjamin Peherstorfer (University of Wisconsin-Madison)
    7/19/17, 9:35 AM
  12. 62. Scalable solvers for meshless methods on many-core clusters
    Dr Peter Zaspel (University of Basel)
    7/19/17, 10:40 AM
  13. 63. Scalable Hierarchical Sampling of Gaussian Random Fields for Large-Scale Multilevel Monte Carlo Simulations
    Dr Sarah Osborn (Lawrence Livermore National Laboratory)
    7/19/17, 11:15 AM
  14. 64. Tackling UQ in DARMA, a Programming Model for Task-Based Execution at Extreme-Scale
    Dr Francesco Rizzi (Sandia National Labs)
    7/19/17, 11:50 AM
  15. 65. Improving Sampling-based Uncertainty Quantification Performance Through Embedded Ensemble Propagation
    Dr Eric Phipps (Sandia National Laboratories)
    7/19/17, 2:00 PM
  16. 66. Spectral stochastic finite elements for two nonlinear problems
    Dr Bedřich Sousedík (University of Maryland, Baltimore County)
    7/19/17, 2:35 PM
  17. 67. Multilevel Sequential Monte Carlo for Bayesian Inverse Problems
    Prof. Elisabeth Ullmann (TUM)
    7/19/17, 3:40 PM
  18. 46. Stabilization of EIM and PBDW Methods with Noisy Observations
    Prof. Ivon Maday (Laboratoire Jacques-Louis Lions, Université Pierre et Marie Curie)
    7/19/17, 4:15 PM
  19. 69. Multi-Index polynomial chaos methods for random PDEs
    Prof. Fabio Nobile
    7/20/17, 9:00 AM
  20. 70. Operator based multi-scale analysis of simulation bundles
    Prof. Jochen Garcke (Universität Bonn)
    7/20/17, 9:35 AM
  21. 71. Sparse grid approximation of elliptic PDEs with lognormal diffusion coefficient
    Dr Lorenzo Tamellini (IMATI-CNR)
    7/20/17, 10:40 AM
  22. 72. Multivariate approximation in downward closed polynomial spaces
    Dr Giovanni Migliorati (Université Pierre et Marie Curie)
    7/20/17, 11:15 AM
  23. 74. Sparse approximation of high-dimensional functions via convex and nonconvex regularizations
    Prof. Clayton Webster
    7/20/17, 11:50 AM
  24. 97. Compressed sensing reconstruction of Hilbert-valued solutions to parametrized PDEs
    Nicholas Dexter
    7/20/17, 2:00 PM
  25. 75. Sparse Grid Methods in Uncertainty Quantification
    Prof. Michael Griebel
    7/20/17, 2:35 PM
  26. 76. Recent advances in compressed sensing techniques for the numerical approximation of PDEs
    Dr Simone Brugiapaglia (Simon Fraser University)
    7/20/17, 3:40 PM
  27. 77. Modeling variability in cardiac electrophysiology
    Prof. Jean-Frédéric Gerbeau (Inria)
    7/21/17, 9:00 AM
  28. 78. Sensitivity Analysis and Active Subspace Construction for Surrogate Models Employed for Bayesian Inference
    Prof. Ralph Smith
    7/21/17, 9:35 AM
  29. 79. Stochastic sensitivity analysis to grid resolution and closure modeling in large-eddy simulation
    Prof. Maria Vittoria Salvetti (DICI - University of Pisa)
    7/21/17, 10:40 AM
  30. 80. Uncertainty Quantification in Materials Modeling
    Dr Pablo Seleson (Oak Ridge National Laboratory)
    7/21/17, 11:15 AM
  31. 81. It's Really Dark Down There: UQ in Groundwater Hydrology
    Prof. Larry Winter
    7/21/17, 11:50 AM
  32. 45. Bus transport