Boris Kramer
Cited by
Cited by
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems
E Qian, B Kramer, B Peherstorfer, K Willcox
Physica D: Nonlinear Phenomena 406, 132401, 2020
Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition
B Kramer, KE Willcox
AIAA Journal 57 (6), 2297-2307, 2019
Learning physics-based reduced-order models for a single-injector combustion process
R Swischuk, B Kramer, C Huang, K Willcox
AIAA Journal 58 (6), 2658-2672, 2020
Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms
P Benner, P Goyal, B Kramer, B Peherstorfer, K Willcox
Computer Methods in Applied Mechanics and Engineering 372, 113433, 2020
Sparse sensing and DMD based identification of flow regimes and bifurcations in complex flows
B Kramer, P Grover, P Boufounos, M Benosman, S Nabi
SIAM Journal on Applied Dynamical Systems 16 (2), 1164-1196, 2017
Multifidelity preconditioning of the cross-entropy method for rare event simulation and failure probability estimation
B Peherstorfer, B Kramer, K Willcox
SIAM/ASA Journal on Uncertainty Quantification 6 (2), 737-761, 2018
Combining multiple surrogate models to accelerate failure probability estimation with expensive high-fidelity models
B Peherstorfer, B Kramer, K Willcox
Journal of Computational Physics 341, 61-75, 2017
Learning-based robust stabilization for reduced-order models of 2D and 3D Boussinesq equations
M Benosman, J Borggaard, O San, B Kramer
Applied Mathematical Modelling 49 (September 2017), 162–181, 2017
Information Reuse for Importance Sampling in Reliability-Based Design Optimization
A Chaudhuri, B Kramer, KE Willcox
Reliability Engineering & System Safety 201, 106853, 2020
Tangential interpolation-based eigensystem realization algorithm for MIMO systems
B Kramer, S Gugercin
Mathematical and Computer Modelling of Dynamical Systems 22 (4), 282-306, 2016
Transform & Learn: A data-driven approach to nonlinear model reduction
E Qian, B Kramer, AN Marques, KE Willcox
AIAA Aviation 2019 Forum, 3707, 2019
System Identification via CUR-factored Hankel Approximation
B Kramer, AA Gorodetsky
SIAM Journal of Scientific Computing 40 (2), 848–866, 2018
Conditional-value-at-risk estimation via reduced-order models
M Heinkenschloss, B Kramer, T Takhtaganov, K Willcox
SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1395-1423, 2018
Balanced truncation model reduction for lifted nonlinear systems
B Kramer, K Willcox
Realization and Model Reduction of Dynamical Systems-A Festschrift in Honor …, 2022
Multifidelity probability estimation via fusion of estimators
B Kramer, AN Marques, B Peherstorfer, U Villa, K Willcox
Journal of Computational Physics 392, 385-402, 2019
Feedback control for systems with uncertain parameters using online-adaptive reduced models
B Kramer, B Peherstorfer, K Willcox
SIAM Journal on Applied Dynamical Systems 16 (3), 1563-1586, 2017
Adaptive reduced-order model construction for conditional value-at-risk estimation
M Heinkenschloss, B Kramer, T Takhtaganov
SIAM/ASA Journal on Uncertainty Quantification 8 (2), 668-692, 2020
Hamiltonian operator inference: Physics-preserving learning of reduced-order models for canonical Hamiltonian systems
H Sharma, Z Wang, B Kramer
Physica D: Nonlinear Phenomena 431, 133122, 2022
Full flux models for optimization and control of heat exchangers
JA Burns, B Kramer
2015 American Control Conference (ACC), 577-582, 2015
Model reduction of the coupled Burgers equation in conservation form
B Krämer
Virginia Tech, 2011
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