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2020 – today
- 2024
[j9]Yankun Hong
, Harshit Bansal, Karen Veroy:
Physics-informed two-tier neural network for non-linear model order reduction. Adv. Model. Simul. Eng. Sci. 11(1): 20 (2024)- [j8]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: 112599 (2024) - [j7]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): 723-758 (2024) - [i11]Francesco A. B. Silva, Cecilia Pagliantini, Karen Veroy:
An adaptive hierarchical ensemble Kalman filter with reduced basis models. CoRR abs/2404.09907 (2024) - [i10]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 abs/2405.00437 (2024) - [i9]Yankun Hong, Harshit Bansal, Karen Veroy:
A Score-based Generative Solver for PDE-constrained Inverse Problems with Complex Priors. CoRR abs/2408.16626 (2024) - [i8]Evie Nielen, Oliver Tse, Karen Veroy:
Polytope Division Method: A Scalable Sampling Method for Problems with High-dimensional Parameters. CoRR abs/2410.17938 (2024) - 2023
- [i7]Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy:
A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems. CoRR abs/2301.12019 (2023) - [i6]Theron Guo, Ondrej Rokos, Karen Veroy:
A reduced order model for geometrically parameterized two-scale simulations of elasto-plastic microstructures under large deformations. CoRR abs/2307.16894 (2023) - 2022
- [i5]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 abs/2201.10374 (2022) - [i4]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 abs/2206.13627 (2022) - [i3]Francesco A. B. Silva, Cecilia Pagliantini, Martin A. Grepl, Karen Veroy:
A Reduced Basis Ensemble Kalman Method. CoRR abs/2210.02279 (2022) - 2021
- [i2]Theron Guo, Ondrej Rokos, Karen Veroy:
Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method. CoRR abs/2104.04451 (2021) - 2020
- [i1]Nicole Aretz-Nellesen, Peng Chen, Martin A. Grepl, Karen Veroy:
A sequential sensor selection strategy for hyper-parameterized linear Bayesian inverse problems. CoRR abs/2011.11391 (2020)
2010 – 2019
- 2019
- [j6]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): 2369-2400 (2019) - [c1]Nicole Aretz-Nellesen, Peng Chen, Martin A. Grepl, Karen Veroy:
A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems. ENUMATH 2019: 489-497 - 2018
- [j5]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): 276-307 (2018) - 2017
- [j4]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) - 2016
- [j3]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) - 2012
- [j2]Anna-Lena Gerner, Karen Veroy:
Certified Reduced Basis Methods for Parametrized Saddle Point Problems. SIAM J. Sci. Comput. 34(5) (2012)
2000 – 2009
- 2006
- [j1]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): 37-62 (2006)
Coauthor Index
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