Karen Veroy - RankMe

23 papers Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Adaptive Hierarchical Ensemble Kalman Filter with Reduced Basis Models. SIAM/ASA J. Uncertain. Quantification Francesco A. B. Silva, Cecilia Pagliantini, Karen Veroy
2025	J	`jnl`	Polytope Division Method: A Scalable Sampling Method for Problems with High-Dimensional Parameters. SIAM J. Sci. Comput. Evie Nielen, Oliver Tse, Karen Veroy
2024	J	`jnl`	A Score-based Generative Solver for PDE-constrained Inverse Problems with Complex Priors. CoRR Yankun Hong, Harshit Bansal, Karen Veroy
2024	J	`jnl`	A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models. J. Comput. Phys. Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy
2024	J	`jnl`	An adaptive hierarchical ensemble Kalman filter with reduced basis models. CoRR Francesco A. B. Silva, Cecilia Pagliantini, Karen Veroy
2024	J	`jnl`	Choosing Observation Operators to Mitigate Model Error in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Nada Cvetkovic, Han Cheng Lie, Harshit Bansal, Karen Veroy
2024	J	`jnl`	Physics-informed two-tier neural network for non-linear model order reduction. Adv. Model. Simul. Eng. Sci. Yankun Hong, Harshit Bansal, Karen Veroy
2024	J	`jnl`	Polytope Division Method: A Scalable Sampling Method for Problems with High-dimensional Parameters. CoRR Evie Nielen, Oliver Tse, Karen Veroy
2024	J	`jnl`	Reduced-order modeling for second-order computational homogenization with applications to geometrically parameterized elastomeric metamaterials. CoRR Theron Guo, Varvara G. Kouznetsova, Marc G. D. Geers, Karen Veroy, Ondrej Rokos
2023	J	`jnl`	A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems. CoRR Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy
2023	J	`jnl`	A reduced order model for geometrically parameterized two-scale simulations of elasto-plastic microstructures under large deformations. CoRR Theron Guo, Ondrej Rokos, Karen Veroy
2022	J	`jnl`	A Reduced Basis Ensemble Kalman Method. CoRR Francesco A. B. Silva, Cecilia Pagliantini, Martin A. Grepl, Karen Veroy
2022	J	`jnl`	Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method: Extension to geometrical parameterizations. CoRR Theron Guo, Francesco A. B. Silva, Ondrej Rokos, Karen Veroy
2022	J	`jnl`	Multiscale modeling of linear elastic heterogeneous structures based on a localized model order reduction approach. CoRR Philipp Diercks, Karen Veroy, Annika Robens-Radermacher, Jörg F. Unger
2021	J	`jnl`	Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method. CoRR Theron Guo, Ondrej Rokos, Karen Veroy
2020	J	`jnl`	A sequential sensor selection strategy for hyper-parameterized linear Bayesian inverse problems. CoRR Nicole Aretz-Nellesen, Peng Chen, Martin A. Grepl, Karen Veroy
2019	J	`jnl`	3D-VAR for parameterized partial differential equations: a certified reduced basis approach. Adv. Comput. Math. Nicole Aretz-Nellesen, Martin A. Grepl, Karen Veroy
2019	—	`conf`	A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems. ENUMATH Nicole Aretz-Nellesen, Peng Chen, Martin A. Grepl, Karen Veroy
2018	J	`jnl`	Certified Reduced Basis Methods for Parametrized Elliptic Optimal Control Problems with Distributed Controls. J. Sci. Comput. Mark Kärcher, Zoi Tokoutsi, Martin A. Grepl, Karen Veroy
2017	J	`jnl`	A Certified Trust Region Reduced Basis Approach to PDE-Constrained Optimization. SIAM J. Sci. Comput. Elizabeth Qian, Martin A. Grepl, Karen Veroy, Karen Willcox
2016	J	`jnl`	Certified Reduced Basis Methods for Parametrized Distributed Elliptic Optimal Control Problems with Control Constraints. SIAM J. Sci. Comput. Eduard Bader, Mark Kärcher, Martin A. Grepl, Karen Veroy
2012	J	`jnl`	Certified Reduced Basis Methods for Parametrized Saddle Point Problems. SIAM J. Sci. Comput. Anna-Lena Gerner, Karen Veroy
2006	J	`jnl`	"Natural norm" a posteriori error estimators for reduced basis approximations. J. Comput. Phys. Sugata Sen, Karen Veroy, Dinh Bao Phuong Huynh, Simone Deparis, Ngoc Cuong Nguyen, Anthony T. Patera