Karen Veroy

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 16

Top Topics

Inverse Problems

Ambrosio Tortorelli

Selection Algorithm

Top Venues

SIAM J. Sci. Comput.

SIAM/ASA J. Uncertain. Quantification

J. Comput. Phys.

Publications

Theron Guo, Varvara G. Kouznetsova, Marc G. D. Geers, Karen Veroy, Ondrej Rokos
Reduced-order modeling for second-order computational homogenization with applications to geometrically parameterized elastomeric metamaterials. CoRR (2024)
Nada Cvetkovic, Han Cheng Lie, Harshit Bansal, Karen Veroy
Choosing Observation Operators to Mitigate Model Error in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 12 (3) (2024)
Francesco A. B. Silva, Cecilia Pagliantini, Karen Veroy
An adaptive hierarchical ensemble Kalman filter with reduced basis models. CoRR (2024)
Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy
A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models. J. Comput. Phys. 498 (2024)
Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy
A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems. CoRR (2023)
Theron Guo, Ondrej Rokos, Karen Veroy
A reduced order model for geometrically parameterized two-scale simulations of elasto-plastic microstructures under large deformations. CoRR (2023)
Francesco A. B. Silva, Cecilia Pagliantini, Martin A. Grepl, Karen Veroy
A Reduced Basis Ensemble Kalman Method. CoRR (2022)
Theron Guo, Francesco A. B. Silva, Ondrej Rokos, Karen Veroy
Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method: Extension to geometrical parameterizations. CoRR (2022)
Philipp Diercks, Karen Veroy, Annika Robens-Radermacher, Jörg F. Unger
Multiscale modeling of linear elastic heterogeneous structures based on a localized model order reduction approach. CoRR (2022)
Theron Guo, Ondrej Rokos, Karen Veroy
Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method. CoRR (2021)
Nicole Aretz-Nellesen, Peng Chen, Martin A. Grepl, Karen Veroy
A sequential sensor selection strategy for hyper-parameterized linear Bayesian inverse problems. CoRR (2020)
Nicole Aretz-Nellesen, Peng Chen, Martin A. Grepl, Karen Veroy
A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems. ENUMATH (2019)
Nicole Aretz-Nellesen, Martin A. Grepl, Karen Veroy
3D-VAR for parameterized partial differential equations: a certified reduced basis approach. Adv. Comput. Math. 45 (5) (2019)
Mark Kärcher, Zoi Tokoutsi, Martin A. Grepl, Karen Veroy
Certified Reduced Basis Methods for Parametrized Elliptic Optimal Control Problems with Distributed Controls. J. Sci. Comput. 75 (1) (2018)
Elizabeth Qian, Martin A. Grepl, Karen Veroy, Karen Willcox
A Certified Trust Region Reduced Basis Approach to PDE-Constrained Optimization. SIAM J. Sci. Comput. 39 (5) (2017)
Eduard Bader, Mark Kärcher, Martin A. Grepl, Karen Veroy
Certified Reduced Basis Methods for Parametrized Distributed Elliptic Optimal Control Problems with Control Constraints. SIAM J. Sci. Comput. 38 (6) (2016)
Anna-Lena Gerner, Karen Veroy
Certified Reduced Basis Methods for Parametrized Saddle Point Problems. SIAM J. Sci. Comput. 34 (5) (2012)
Sugata Sen, Karen Veroy, Dinh Bao Phuong Huynh, Simone Deparis, Ngoc Cuong Nguyen, Anthony T. Patera
"Natural norm" a posteriori error estimators for reduced basis approximations. J. Comput. Phys. 217 (1) (2006)