Karen Willcox - RankMe

82 papers A* 1A 1C 1Misc 5Journal 65Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Modeling Longitudinal Student Pathways with Explainable Generative Models. LAK Luwen Huang, Inderjit Dhillon, Karen Willcox
2025	J	`jnl`	Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models. CoRR Nicole Aretz, Karen Willcox
2025	J	`jnl`	Optimal Experimental Design of a Moving Sensor for Linear Bayesian Inverse Problems. CoRR Nicole Aretz, Thomas Lynn, Karen Willcox, Sven Leyffer
2025	J	`jnl`	Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in Oncology. CoRR Graham Pash, Umberto Villa, David A. Hormuth II, Thomas E. Yankeelov, Karen Willcox
2025	J	`jnl`	Projection-based multifidelity linear regression for data-scarce applications. CoRR Vignesh Sella, Julie Pham, Karen Willcox, Anirban Chaudhuri
2025	J	`jnl`	Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine. npj Digit. Medicine Kaan Sel, Andrea Hawkins-Daarud, Anirban Chaudhuri, Deen Osman, Ahmad Bahai, David Paydarfar, Karen Willcox, Caroline Chung, Roozbeh Jafari
2025	J	`jnl`	TumorTwin: A python framework for patient-specific digital twins in oncology. CoRR Michael G. Kapteyn, Anirban Chaudhuri, Ernesto A. B. F. Lima, Graham Pash, Rafael Bravo, Karen Willcox, Thomas E. Yankeelov, David A. Hormuth II
2025	J	`jnl`	Validating the predictions of mathematical models describing tumor growth and treatment response. CoRR Guillermo Lorenzo, David A. Hormuth II, Chengyue Wu, Graham Pash, Anirban Chaudhuri, Ernesto A. B. F. Lima, Lois C. Okereke, Reshmi Patel, Karen Willcox, Thomas E. Yankeelov
2024	J	`jnl`	Digital twins in mechanical and aerospace engineering. Nat. Comput. Sci. Alberto Ferrari, Karen Willcox
2024	—	`conf`	Enforcing structure in data-driven reduced modeling through nested Operator Inference. CDC Nicole Aretz, Karen Willcox
2024	J	`jnl`	Real-time aerodynamic load estimation for hypersonics via strain-based inverse maps. CoRR Julie Pham, Omar Ghattas, Noel Clemens, Karen Willcox
2024	J	`jnl`	The role of computational science in digital twins. Nat. Comput. Sci. Karen Willcox, Brittany Segundo
2023	—	`conf`	Learning Latent Representations in High-Dimensional State Spaces Using Polynomial Manifold Constructions. CDC Rudy Geelen, Laura Balzano, Karen Willcox
2023	J	`jnl`	Learning latent representations in high-dimensional state spaces using polynomial manifold constructions. CoRR Rudy Geelen, Laura Balzano, Karen Willcox
2023	J	`jnl`	Learning physics-based reduced-order models from data using nonlinear manifolds. CoRR Rudy Geelen, Laura Balzano, Stephen Wright, Karen Willcox
2023	J	`jnl`	Multifidelity Methods for Uncertainty Quantification of a Nonlocal Model for Phase Changes in Materials. CoRR Parisa Khodabakhshi, Olena Burkovska, Karen Willcox, Max D. Gunzburger
2023	J	`jnl`	Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas. CoRR Anirban Chaudhuri, Graham Pash, David A. Hormuth II, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
2023	J	`jnl`	Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. Frontiers Artif. Intell. Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
2022	—	`conf`	Generalized Multifidelity Active Learning for Gaussian-process-based Reliability Analysis. DDDAS Anirban Chaudhuri, Karen Willcox
2022	J	`jnl`	Operator inference for non-intrusive model reduction with nonlinear manifolds. CoRR Rudy Geelen, Stephen Wright, Karen Willcox
2022	J	`jnl`	Reduced Operator Inference for Nonlinear Partial Differential Equations. SIAM J. Sci. Comput. Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox
2022	J	`jnl`	Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models. CoRR Sean McBane, Youngsoo Choi, Karen Willcox
2021	J	`jnl`	Adaptive Projected Residual Networks for Learning Parametric Maps from Sparse Data. CoRR Thomas O'Leary-Roseberry, Xiaosong Du, Anirban Chaudhuri, Joaquim R. R. A. Martins, Karen Willcox, Omar Ghattas
2021	J	`jnl`	Certifiable Risk-Based Engineering Design Optimization. CoRR Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox
2021	J	`jnl`	Learning physics-based models from data: perspectives from inverse problems and model reduction. Acta Numer. Omar Ghattas, Karen Willcox
2021	J	`jnl`	Reduced operator inference for nonlinear partial differential equations. CoRR Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox
2021	J	`jnl`	Scaling digital twins from the artisanal to the industrial. Nat. Comput. Sci. Steven A. Niederer, Michael S. Sacks, Mark Girolami, Karen Willcox
2020	J	`jnl`	Data-driven reduced-order models via regularized operator inference for a single-injector combustion process. CoRR Shane A. McQuarrie, Cheng Huang, Karen Willcox
2020	J	`jnl`	Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms. CoRR Peter Benner, Pawan Goyal, Boris Kramer, Benjamin Peherstorfer, Karen Willcox
2019	J	`jnl`	Learning physics-based reduced-order models for a single-injector combustion process. CoRR Renee Swischuk, Boris Kramer, Cheng Huang, Karen Willcox
2019	J	`jnl`	Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems. CoRR Elizabeth Qian, Boris Kramer, Benjamin Peherstorfer, Karen Willcox
2019	J	`jnl`	Multifidelity probability estimation via fusion of estimators. CoRR Boris Kramer, Alexandre Noll Marques, Benjamin Peherstorfer, Umberto Villa, Karen Willcox
2019	J	`jnl`	Multifidelity probability estimation via fusion of estimators. J. Comput. Phys. Boris Kramer, Alexandre Noll Marques, Benjamin Peherstorfer, Umberto Villa, Karen Willcox
2018	J	`jnl`	Conditional-Value-at-Risk Estimation via Reduced-Order Models. SIAM/ASA J. Uncertain. Quantification Matthias Heinkenschloss, Boris Kramer, Timur Takhtaganov, Karen Willcox
2018	A*	`conf`	Contour location via entropy reduction leveraging multiple information sources. NeurIPS Alexandre Noll Marques, Rémi Lam, Karen Willcox
2018	J	`jnl`	Convergence analysis of multifidelity Monte Carlo estimation. Numerische Mathematik Benjamin Peherstorfer, Max D. Gunzburger, Karen Willcox
2018	J	`jnl`	Geometric Subspace Updates with Applications to Online Adaptive Nonlinear Model Reduction. SIAM J. Matrix Anal. Appl. Ralf Zimmermann, Benjamin Peherstorfer, Karen Willcox
2018	J	`jnl`	Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices. SIAM/ASA J. Uncertain. Quantification Elizabeth Qian, Benjamin Peherstorfer, Daniel O'Malley, Velimir V. Vesselinov, Karen Willcox
2018	J	`jnl`	Multifidelity Preconditioning of the Cross-Entropy Method for Rare Event Simulation and Failure Probability Estimation. SIAM/ASA J. Uncertain. Quantification Benjamin Peherstorfer, Boris Kramer, Karen Willcox
2018	J	`jnl`	Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition. CoRR Boris Kramer, Karen Willcox
2018	J	`jnl`	Research and Education in Computational Science and Engineering. SIAM Rev. Ulrich Rüde, Karen Willcox, Lois Curfman McInnes, Hans De Sterck
2018	J	`jnl`	Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization. SIAM Rev. Benjamin Peherstorfer, Karen Willcox, Max D. Gunzburger
2018	J	`jnl`	Survey of multifidelity methods in uncertainty propagation, inference, and optimization. CoRR Benjamin Peherstorfer, Karen Willcox, Max D. Gunzburger
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
2017	J	`jnl`	A decomposition-based uncertainty quantification approach for environmental impacts of aviation technology and operation. Artif. Intell. Eng. Des. Anal. Manuf. Sergio Amaral, Douglas L. Allaire, Elena De La Rosa Blanco, Karen Willcox
2017	J	`jnl`	Combining multiple surrogate models to accelerate failure probability estimation with expensive high-fidelity models. J. Comput. Phys. Benjamin Peherstorfer, Boris Kramer, Karen Willcox
2017	J	`jnl`	Data-Driven Reduced Model Construction with Time-Domain Loewner Models. SIAM J. Sci. Comput. Benjamin Peherstorfer, Serkan Gugercin, Karen Willcox
2017	J	`jnl`	Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models. SIAM J. Appl. Dyn. Syst. Boris Kramer, Benjamin Peherstorfer, Karen Willcox
2017	J	`jnl`	Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems. SIAM J. Sci. Comput. Alessio Spantini, Tiangang Cui, Karen Willcox, Luis Tenorio, Youssef M. Marzouk
2017	—	`conf`	Lookahead Bayesian Optimization with Inequality Constraints. NIPS Rémi Lam, Karen Willcox
2017	J	`jnl`	Optimal L Stat. Comput. Sergio Amaral, Douglas L. Allaire, Karen Willcox
2016	J	`jnl`	An Accelerated Greedy Missing Point Estimation Procedure. SIAM J. Sci. Comput. Ralf Zimmermann, Karen Willcox
2016	—	`conf`	Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach. NIPS Rémi Lam, Karen Willcox, David H. Wolpert
2016	J	`jnl`	Dynamic data-driven model reduction: adapting reduced models from incomplete data. Adv. Model. Simul. Eng. Sci. Benjamin Peherstorfer, Karen Willcox
2016	J	`jnl`	Optimal Model Management for Multifidelity Monte Carlo Estimation. SIAM J. Sci. Comput. Benjamin Peherstorfer, Karen Willcox, Max D. Gunzburger
2016	J	`jnl`	Research and Education in Computational Science and Engineering. CoRR Ulrich Rüde, Karen Willcox, Lois Curfman McInnes, Hans De Sterck, George Biros, Hans-Joachim Bungartz, James Corones, Evin Cramer, James Crowley, Omar Ghattas, Max D. Gunzburger, Michael Hanke, Robert J. Harrison, Michael A. Heroux, Jan S. Hesthaven, Peter K. Jimack, Chris Johnson, Kirk E. Jordan, David E. Keyes, Rolf H. Krause, Vipin Kumar, Stefan Mayer, Juan Meza, Knut Martin Mørken, J. Tinsley Oden, Linda R. Petzold, Padma Raghavan, Suzanne M. Shontz, Anne E. Trefethen, Peter R. Turner, Vladimir V. Voevodin, Barbara I. Wohlmuth, Carol S. Woodward
2016	J	`jnl`	Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction. J. Comput. Phys. Tiangang Cui, Youssef M. Marzouk, Karen Willcox
2015	J	`jnl`	A Domain Decomposition Approach for Uncertainty Analysis. SIAM J. Sci. Comput. Qifeng Liao, Karen Willcox
2015	J	`jnl`	A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems. SIAM Rev. Peter Benner, Serkan Gugercin, Karen Willcox
2015	Misc	`conf`	Detecting and Adapting to Parameter Changes for Reduced Models of Dynamic Data-driven Application Systems. ICCS Benjamin Peherstorfer, Karen Willcox
2015	J	`jnl`	Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates. SIAM J. Sci. Comput. Benjamin Peherstorfer, Karen Willcox
2014	J	`jnl`	Localized Discrete Empirical Interpolation Method. SIAM J. Sci. Comput. Benjamin Peherstorfer, Daniel Butnaru, Karen Willcox, Hans-Joachim Bungartz
2014	Misc	`conf`	Multifidelity DDDAS Methods with Application to a Self-aware Aerospace Vehicle. ICCS Douglas L. Allaire, D. Kordonowy, M. Lecerf, Laura Mainini, Karen Willcox
2014	J	`jnl`	Nonlinear Goal-Oriented Bayesian Inference: Application to Carbon Capture and Storage. SIAM J. Sci. Comput. Chad Lieberman, Karen Willcox
2014	J	`jnl`	Uncertainty quantification of an Aviation Environmental Toolsuite. Reliab. Eng. Syst. Saf. Douglas L. Allaire, George Noel, Karen Willcox, Rebecca Cointin
2013	Misc	`conf`	An Offline/Online DDDAS Capability for Self-Aware Aerospace Vehicles. ICCS Douglas L. Allaire, J. Chambers, Raghvendra V. Cowlagi, David N. Kordonowy, M. Lecerf, Laura Mainini, F. Ulker, Karen Willcox
2013	J	`jnl`	Goal-Oriented Inference: Approach, Linear Theory, and Application to Advection Diffusion. SIAM Rev. Chad Lieberman, Karen Willcox
2012	J	`jnl`	A variance-based sensitivity index function for factor prioritization. Reliab. Eng. Syst. Saf. Douglas L. Allaire, Karen Willcox
2012	Misc	`conf`	Dynamic Data Driven Methods for Self-aware Aerospace Vehicles. ICCS Douglas L. Allaire, George Biros, J. Chambers, Omar Ghattas, D. Kordonowy, Karen Willcox
2012	C	`conf`	Fusing information from multifidelity computer models of physical systems. FUSION Douglas L. Allaire, Karen Willcox
2012	J	`jnl`	Goal-Oriented Inference: Approach, Linear Theory, and Application to Advection Diffusion. SIAM J. Sci. Comput. Chad Lieberman, Karen Willcox
2010	J	`jnl`	Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems. SIAM J. Sci. Comput. Chad Lieberman, Karen Willcox, Omar Ghattas
2008	J	`jnl`	Krylov projection framework for Fourier model reduction. Autom. Serkan Gugercin, Karen Willcox
2008	J	`jnl`	Missing Point Estimation in Models Described by Proper Orthogonal Decomposition. IEEE Trans. Autom. Control. Patricia Astrid, Siep Weiland, Karen Willcox, Ton Backx
2008	J	`jnl`	Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space. SIAM J. Sci. Comput. Tan Bui-Thanh, Karen Willcox, Omar Ghattas
2007	—	`conf`	Application of quantized control to human self-rotation maneuvers in microgravity. CDC Leia A. Stirling, Alessandro Arsie, Emilio Frazzoli, Karen Willcox, Dava J. Newman
2007	J	`jnl`	Goal-oriented, model-constrained optimization for reduction of large-scale systems. J. Comput. Phys. Tan Bui-Thanh, Karen Willcox, Omar Ghattas, Bart G. van Bloemen Waanders
2007	Misc	`conf`	Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems. International Conference on Computational Science (1) Omar Bashir, Omar Ghattas, Judith C. Hill, Bart G. van Bloemen Waanders, Karen Willcox
2006	—	`conf`	MPC for Large-Scale Systems via Model Reduction and Multiparametric Quadratic Programming. CDC Svein Hovland, Karen Willcox, Jan Tommy Gravdahl
2005	—	`conf`	An Optimization Frame work for Goal-Oriented, Model-Based Reduction of Large-Scale Systems. CDC/ECC Karen Willcox, Omar Ghattas, Bart G. van Bloemen Waanders, Brett W. Bader
2005	J	`jnl`	Fourier Series for Accurate, Stable, Reduced-Order Models in Large-Scale Linear Applications. SIAM J. Sci. Comput. Karen Willcox, Alexandre Megretski
2004	—	`conf`	Missing point estimation in models described by proper orthogonal decomposition. CDC Patricia Astrid, Siep Weiland, Karen Willcox, Ton Backx