Search results for "quantification"

Hits ?▲	Authors	Title	Venue	Year	Link
17	Matthieu Martin, Fabio Nobile	PDE-Constrained Optimal Control Problems with Uncertain Parameters using SAGA.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Daniel Schaden, Elisabeth Ullmann	Asymptotic Analysis of Multilevel Best Linear Unbiased Estimators.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Dhruv V. Patel, Assad A. Oberai	GAN-Based Priors for Quantifying Uncertainty in Supervised Learning.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Wei Fang, Mike B. Giles	Importance Sampling for Pathwise Sensitivity of Stochastic Chaotic Systems.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Zhaopeng Hao, Zhongqiang Zhang	Numerical Approximation of Optimal Convergence for Fractional Elliptic Equations with Additive Fractional Gaussian Noise.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Felipe Uribe, Iason Papaioannou, Youssef M. Marzouk, Daniel Straub	Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Sebastian Reich, Simon Weissmann	Fokker-Planck Particle Systems for Bayesian Inference: Computational Approaches.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Jean-Claude Fort, Thierry Klein, Agnès Lagnoux	Global Sensitivity Analysis and Wasserstein Spaces.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Holger Dette, Anatoly A. Zhigljavsky	Reproducing Kernel Hilbert Spaces, Polynomials, and the Classical Moment Problem.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Jonathan Cockayne, Andrew B. Duncan	Probabilistic Gradients for Fast Calibration of Differential Equation Models.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Deyu Ming, Serge Guillas	Linked Gaussian Process Emulation for Systems of Computer Models Using Matérn Kernels and Adaptive Design.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Peng Chen 0024, Omar Ghattas	Taylor Approximation for Chance Constrained Optimization Problems Governed by Partial Differential Equations with High-Dimensional Random Parameters.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Ujjwal Koley, Deep Ray, Tanmay Sarkar	Multilevel Monte Carlo Finite Difference Methods for Fractional Conservation Laws with Random Data.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Valentin Resseguier, Agustin M. Picard, Étienne Mémin, Bertrand Chapron	Quantifying Truncation-Related Uncertainties in Unsteady Fluid Dynamics Reduced Order Models.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Wenbo Sun, Matthew Plumlee, Jingwen Hu, Jionghua (Judy) Jin	Robust System Design with Limited Experimental Data and an Inexact Simulation Model.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Henning Omre, Kjartan Rimstad	Bayesian Spatial Inversion and Conjugate Selection Gaussian Prior Models.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Matthew M. Dunlop, Yunan Yang	Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Viet Ha Hoang, Jia Hao Quek, Christoph Schwab	Multilevel Markov Chain Monte Carlo for Bayesian Inversion of Parabolic Partial Differential Equations under Gaussian Prior.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Vishwas Rao, Mihai Anitescu	Efficient Computation of Extreme Excursion Probabilities for Dynamical Systems through Rice's Formula.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Alex Bespalov, Dirk Praetorius, Michele Ruggeri	Two-Level a Posteriori Error Estimation for Adaptive Multilevel Stochastic Galerkin Finite Element Method.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Elmar Plischke, Giovanni Rabitti, Emanuele Borgonovo	Computing Shapley Effects for Sensitivity Analysis.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Ana Djurdjevac	Linear Parabolic Problems in Random Moving Domains.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Mahmood Ettehad, Simon Foucart	Instances of Computational Optimal Recovery: Dealing with Observation Errors.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Denis Belomestny, Leonid Iosipoi, Eric Moulines, Alexey Naumov, Sergey Samsonov	Variance Reduction for Dependent Sequences with Applications to Stochastic Gradient MCMC.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Xujia Zhu, Bruno Sudret	Emulation of Stochastic Simulators Using Generalized Lambda Models.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Matthew Dobson, Yao Li, Jiayu Zhai	Using Coupling Methods to Estimate Sample Quality of Stochastic Differential Equations.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Wenyu Li, Arun Hegde, James Oreluk, Andrew K. Packard, Michael Frenklach	Representing Model Discrepancy in Bound-to-Bound Data Collaboration.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Art B. Owen, Christopher R. Hoyt	Efficient Estimation of the ANOVA Mean Dimension, with an Application to Neural Net Classification.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Weifeng Zhao, Juntao Huang, Wen-An Yong	Lattice Boltzmann Method for Stochastic Convection-Diffusion Equations.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Kevin Bulthuis, Frank Pattyn, Maarten Arnst	A Multifidelity Quantile-Based Approach for Confidence Sets of Random Excursion Sets with Application to Ice-Sheet Dynamics.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Simon L. Cotter, Ioannis G. Kevrekidis, Paul T. Russell	Transport Map Accelerated Adaptive Importance Sampling, and Application to Inverse Problems Arising from Multiscale Stochastic Reaction Networks.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, Gowri Srinivasan	A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Anthony Fillion, Marc Bocquet, Serge Gratton, Selime Gürol, Pavel Sakov	An Iterative Ensemble Kalman Smoother in Presence of Additive Model Error.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Yang Yu 0078, Ning Zhang, Daniel W. Apley, Wenxin Jiang 0003	Including a Nugget Effect in Lifted Brownian Covariance Models.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Baptiste Broto, François Bachoc, Marine Depecker	Variance Reduction for Estimation of Shapley Effects and Adaptation to Unknown Input Distribution.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Sharif Rahman	A Spline Chaos Expansion.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Jonas Latz	On the Well-posedness of Bayesian Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Rui Tuo, Yan Wang, C. F. Jeff Wu	On the Improved Rates of Convergence for Matérn-Type Kernel Ridge Regression with Application to Calibration of Computer Models.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Kellin Rumsey, Gabriel Huerta, Justin Brown, Lauren Hund	Dealing with Measurement Uncertainties as Nuisance Parameters in Bayesian Model Calibration.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Aretha L. Teckentrup	Convergence of Gaussian Process Regression with Estimated Hyper-Parameters and Applications in Bayesian Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Pulong Ma	Objective Bayesian Analysis of a Cokriging Model for Hierarchical Multifidelity Codes.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	John Harlim, Daniel Sanz-Alonso, Ruiyi Yang	Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Jürgen Dölz	A Higher Order Perturbation Approach for Electromagnetic Scattering Problems on Random Domains.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Ying-Chao Hung, George Michailidis, Horace PakHai Lok	Locating Infinite Discontinuities in Computer Experiments.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Luc Pronzato, Anatoly Zhigljavsky	Bayesian Quadrature, Energy Minimization, and Space-Filling Design.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Marie Kubínová, Ivana Pultarová	Block Preconditioning of Stochastic Galerkin Problems: New Two-sided Guaranteed Spectral Bounds.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Aaron R. Dinner, Erik H. Thiede, Brian Van Koten, Jonathan Weare	Stratification as a General Variance Reduction Method for Markov Chain Monte Carlo.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Tomohiko Hironaka, Michael B. Giles, Takashi Goda, Howard Thom	Multilevel Monte Carlo Estimation of the Expected Value of Sample Information.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Konstantinos Spiliopoulos	Information Geometry for Approximate Bayesian Computation.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Jeff Borggaard, Nathan E. Glatt-Holtz, Justin Krometis	A Bayesian Approach to Estimating Background Flows from a Passive Scalar.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Colin J. Cotter, Dan Crisan, Darryl D. Holm, Wei Pan 0006, Igor Shevchenko	A Particle Filter for Stochastic Advection by Lie Transport: A Case Study for the Damped and Forced Incompressible Two-Dimensional Euler Equation.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Lun Yang, Peng Wang 0022, Daniel M. Tartakovsky	Resource-Constrained Model Selection for Uncertainty Propagation and Data Assimilation.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Richard Nickl, Sara A. van de Geer, Sven Wang	Convergence Rates for Penalized Least Squares Estimators in PDE Constrained Regression Problems.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Nan Chen	An Information Criterion for Choosing Observation Locations in Data Assimilation and Prediction.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Assyr Abdulle, Andrea Di Blasio	A Bayesian Numerical Homogenization Method for Elliptic Multiscale Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Qin Li 0007, Jian-Guo Liu, Ruiwen Shu	Sensitivity Analysis of Burgers' Equation with Shocks.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Martin Eigel, Manuel Marschall, Michael D. Multerer	An Adaptive Stochastic Galerkin Tensor Train Discretization for Randomly Perturbed Domains.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Marc Mignolet, Christian Soize	Compressed Principal Component Analysis of Non-Gaussian Vectors.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Laurent M. M. van den Bos, Benjamin Sanderse, Wim Bierbooms, Gerard J. W. van Bussel	Generating Nested Quadrature Rules with Positive Weights based on Arbitrary Sample Sets.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Adi Ditkowski, Gadi Fibich, Amir Sagiv	Density Estimation in Uncertainty Propagation Problems Using a Surrogate Model.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Olivier Roustant, Esperan Padonou, Yves Deville, Aloïs Clément, Guillaume Perrin, Jean Giorla, Henry P. Wynn	Group Kernels for Gaussian Process Metamodels with Categorical Inputs.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Owen R. Pembery, Euan A. Spence	The Helmholtz Equation in Random Media: Well-Posedness and A Priori Bounds.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Patrick Héas	Selecting Reduced Models in the Cross-Entropy Method.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Emil M. Constantinescu, Noémi Petra, Julie Bessac, Cosmin G. Petra	Statistical Treatment of Inverse Problems Constrained by Differential Equations-Based Models with Stochastic Terms.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Matthias Heinkenschloss, Boris Kramer, Timur Takhtaganov	Adaptive Reduced-Order Model Construction for Conditional Value-at-Risk Estimation.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Linjie Wen, Jiangqi Wu, Linjun Lu, Jinglai Li	A Defensive Marginal Particle Filtering Method for Data Assimilation.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Kui Ren 0002, Sarah Vallélian	Characterizing Impacts of Model Uncertainties in Quantitative Photoacoustics.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Thomas P. Prescott, Ruth E. Baker	Multifidelity Approximate Bayesian Computation.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Daniel Schaden, Elisabeth Ullmann	On Multilevel Best Linear Unbiased Estimators.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Dan Crisan, Alberto López-Yela, Joaquín Míguez	Stable Approximation Schemes for Optimal Filters.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Caroline Moosmüller, Felix Dietrich, Ioannis G. Kevrekidis	A Geometric Approach to the Transport of Discontinuous Densities.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Victoria Volodina, Daniel B. Williamson	Diagnostics-Driven Nonstationary Emulators Using Kernel Mixtures.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Matthias H. Y. Tan	Bayesian Optimization of Expected Quadratic Loss for Multiresponse Computer Experiments with Internal Noise.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn	Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter.	SIAM/ASA J. Uncertain. Quantification	2020	DBLP DOI BibTeX RDF
17	Toshihiro Yamada, Kenta Yamamoto	Second Order Discretization of Bismut-Elworthy-Li Formula: Application to Sensitivity Analysis.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Kayla D. Coleman, Allison Lewis, Ralph C. Smith, Brian Williams, Max D. Morris, Bassam Khuwaileh	Gradient-Free Construction of Active Subspaces for Dimension Reduction in Complex Models with Applications to Neutronics.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Colin J. Cotter, Simon L. Cotter, Paul T. Russell	Ensemble Transport Adaptive Importance Sampling.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Andreas Van Barel, Stefan Vandewalle	Robust Optimization of PDEs with Random Coefficients Using a Multilevel Monte Carlo Method.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Kookjin Lee, Howard C. Elman, Bedrich Sousedík	A Low-Rank Solver for the Navier-Stokes Equations with Uncertain Viscosity.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Rui Tuo	Adjustments to Computer Models via Projected Kernel Calibration.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Michael B. Giles, Abdul-Lateef Haji-Ali	Multilevel Nested Simulation for Efficient Risk Estimation.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Matthew J. Zahr, Kevin T. Carlberg, Drew P. Kouri	An Efficient, Globally Convergent Method for Optimization Under Uncertainty Using Adaptive Model Reduction and Sparse Grids.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Constantin Grigo, Phaedon-Stelios Koutsourelakis	Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Wanting Xu, Michael L. Stein, Ian Wisher	Modeling and Predicting Chaotic Circuit Data.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Sergey Dolgov, Robert Scheichl	A Hybrid Alternating Least Squares-TT-Cross Algorithm for Parametric PDEs.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Roland Pulch, Florian Augustin	Stability Preservation in Stochastic Galerkin Projections of Dynamical Systems.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	James M. Scott, M. Paul Laiu, Cory D. Hauck	Analysis of the Zero Relaxation Limit of Hyperbolic Balance Laws with Random Initial Data.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Paul Mycek, Matthias De Lozzo	Multilevel Monte Carlo Covariance Estimation for the Computation of Sobol' Indices.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Jaroslav Vondrejc, Hermann G. Matthies	Accurate Computation of Conditional Expectation for Highly Nonlinear Problems.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Joseph L. Hart, Julie Bessac, Emil M. Constantinescu	Global Sensitivity Analysis for Statistical Model Parameters.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Matthias H. Y. Tan	Gaussian Process Modeling of Finite Element Models with Functional Inputs.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Malek Ben Salem 0002, François Bachoc, Olivier Roustant, Fabrice Gamboa, Lionel Tomaso	Gaussian Process-Based Dimension Reduction for Goal-Oriented Sequential Design.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Adrien Spagnol, Rodolphe Le Riche, Sébastien Da Veiga	Global Sensitivity Analysis for Optimization with Variable Selection.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Max D. Gunzburger, Traian Iliescu, Muhammad Mohebujjaman, Michael Schneier	An Evolve-Filter-Relax Stabilized Reduced Order Stochastic Collocation Method for the Time-Dependent Navier-Stokes Equations.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Mohammad Motamed	Fuzzy-Stochastic Partial Differential Equations.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Ustim Khristenko, Laura Scarabosio, Piotr Swierczynski, Elisabeth Ullmann, Barbara I. Wohlmuth	Analysis of Boundary Effects on PDE-Based Sampling of Whittle-Matérn Random Fields.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Benjamin Peherstorfer	Multifidelity Monte Carlo Estimation with Adaptive Low-Fidelity Models.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Furong Sun, Robert B. Gramacy, Benjamin Haaland, Earl Lawrence, Andrew Walker	Emulating Satellite Drag from Large Simulation Experiments.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Agnimitra Dasgupta, Debraj Ghosh	Failure Probability Estimation of Linear Time Varying Systems by Progressive Refinement of Reduced Order Models.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Rodrigo Iza-Teran, Jochen Garcke	A Geometrical Method for Low-Dimensional Representations of Simulations.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF