Karen Veroy

According to our database, Karen Veroy authored at least 20 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Physics-informed two-tier neural network for non-linear model order reduction.

Yankun Hong, Harshit Bansal, Karen Veroy

Adv. Model. Simul. Eng. Sci., December, 2024

A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models.

Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy

J. Comput. Phys., February, 2024

Choosing Observation Operators to Mitigate Model Error in Bayesian Inverse Problems.

Nada Cvetkovic, Han Cheng Lie, Harshit Bansal, Karen Veroy

SIAM/ASA J. Uncertain. Quantification, 2024

Polytope Division Method: A Scalable Sampling Method for Problems with High-dimensional Parameters.

Evie Nielen, Oliver Tse, Karen Veroy

CoRR, 2024

A Score-based Generative Solver for PDE-constrained Inverse Problems with Complex Priors.

Yankun Hong, Harshit Bansal, Karen Veroy

CoRR, 2024

Reduced-order modeling for second-order computational homogenization with applications to geometrically parameterized elastomeric metamaterials.

Theron Guo, Varvara G. Kouznetsova, Marc G. D. Geers, Karen Veroy, Ondrej Rokos

CoRR, 2024

An adaptive hierarchical ensemble Kalman filter with reduced basis models.

Francesco A. B. Silva, Cecilia Pagliantini, Karen Veroy

CoRR, 2024

2023

A reduced order model for geometrically parameterized two-scale simulations of elasto-plastic microstructures under large deformations.

Theron Guo, Ondrej Rokos, Karen Veroy

CoRR, 2023

A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems.

Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy

CoRR, 2023

2022

A Reduced Basis Ensemble Kalman Method.

Francesco A. B. Silva, Cecilia Pagliantini, Martin A. Grepl, Karen Veroy

CoRR, 2022

Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method: Extension to geometrical parameterizations.

Theron Guo, Francesco A. B. Silva, Ondrej Rokos, Karen Veroy

CoRR, 2022

Multiscale modeling of linear elastic heterogeneous structures based on a localized model order reduction approach.

Philipp Diercks, Karen Veroy, Annika Robens-Radermacher, Jörg F. Unger

CoRR, 2022

2021

Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method.

Theron Guo, Ondrej Rokos, Karen Veroy

CoRR, 2021

2019

3D-VAR for parameterized partial differential equations: a certified reduced basis approach.

Nicole Aretz-Nellesen, Martin A. Grepl, Karen Veroy

Adv. Comput. Math., 2019

A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems.

Nicole Aretz-Nellesen, Peng Chen, Martin A. Grepl, Karen Veroy

Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

2018

Certified Reduced Basis Methods for Parametrized Elliptic Optimal Control Problems with Distributed Controls.

Mark Kärcher, Zoi Tokoutsi, Martin A. Grepl, Karen Veroy

J. Sci. Comput., 2018

2017

A Certified Trust Region Reduced Basis Approach to PDE-Constrained Optimization.

Elizabeth Qian, Martin A. Grepl, Karen Veroy, Karen Willcox

SIAM J. Sci. Comput., 2017

2016

Certified Reduced Basis Methods for Parametrized Distributed Elliptic Optimal Control Problems with Control Constraints.

Eduard Bader, Mark Kärcher, Martin A. Grepl, Karen Veroy

SIAM J. Sci. Comput., 2016

2012

Certified Reduced Basis Methods for Parametrized Saddle Point Problems.

Anna-Lena Gerner, Karen Veroy

SIAM J. Sci. Comput., 2012

2006

"Natural norm" a posteriori error estimators for reduced basis approximations.

Sugata Sen, Karen Veroy, Dinh Bao Phuong Huynh, Simone Deparis, Ngoc Cuong Nguyen, Anthony T. Patera

J. Comput. Phys., 2006