Boris Kramer

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 48

Top Topics

Dynamical Systems

Probability Estimation

Mechanical Systems

Top Venues

J. Comput. Phys.

SIAM J. Appl. Dyn. Syst.

Publications

Harsh Sharma, David A. Najera-Flores, Michael D. Todd, Boris Kramer
Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems. CoRR (2024)
Harsh Sharma, Iman Adibnazari, Jacobo Cervera-Torralba, Michael Thomas Tolley, Boris Kramer
Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inference. CoRR (2024)
Nicholas Galioto, Harsh Sharma, Boris Kramer, Alex Arkady Gorodetsky
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling. CoRR (2024)
Opal Issan, Oleksandr Koshkarov, Federico D. Halpern, Boris Kramer, Gian Luca Delzanno
Anti-symmetric and positivity preserving formulation of a spectral method for Vlasov-Poisson equations. J. Comput. Phys. 514 (2024)
Yuwei Geng, Jasdeep Singh, Lili Ju, Boris Kramer, Zhu Wang
Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure. CoRR (2024)
Andrey Bychkov, Opal Issan, Gleb Pogudin, Boris Kramer
Exact and Optimal Quadratization of Nonlinear Finite-Dimensional Nonautonomous Dynamical Systems. SIAM J. Appl. Dyn. Syst. 23 (1) (2024)
Dongjin Lee, Elle Lavichant, Boris Kramer
Global sensitivity analysis with limited data via sparsity-promoting D-MORPH regression: Application to char combustion. J. Comput. Phys. 511 (2024)
Dongjin Lee, Elle Lavichant, Boris Kramer
Global sensitivity analysis in the limited data setting with application to char combustion. CoRR (2023)
Harsh Sharma, Hongliang Mu, Patrick Buchfink, Rudy Geelen, Silke Glas, Boris Kramer
Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds. CoRR (2023)
Nathaniel J. Linden, Boris Kramer, Padmini Rangamani
Correction: Bayesian parameter estimation for dynamical models in systems biology. PLoS Comput. Biol. 19 (4) (2023)
Boris Kramer, Serkan Gugercin, Jeff Borggaard
Nonlinear Balanced Truncation: Part 2 - Model Reduction on Manifolds. CoRR (2023)
Opal Issan, Oleksandr Koshkarov, Federico D. Halpern, Boris Kramer, Gian Luca Delzanno
Anti-symmetric and Positivity Preserving Formulation of a Spectral Method for Vlasov-Poisson Equations. CoRR (2023)
Andrey Bychkov, Opal Issan, Boris Kramer, Gleb Pogudin
Exact and optimal quadratization of nonlinear finite-dimensional non-autonomous dynamical systems. CoRR (2023)
Opal Issan, Boris Kramer
Predicting solar wind streams from the inner-heliosphere to Earth via shifted operator inference. J. Comput. Phys. 473 (2023)
Dongjin Lee, Boris Kramer
Multifidelity conditional value-at-risk estimation by dimensionally decomposed generalized polynomial chaos-Kriging. Reliab. Eng. Syst. Saf. 235 (2023)
Boris Kramer
Learning state variables for physical systems. Nat. Comput. Sci. 2 (7) (2022)
Harsh Sharma, Boris Kramer
Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale mechanical systems. CoRR (2022)
Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CDC (2022)
Dongjin Lee, Boris Kramer
Bi-fidelity conditional-value-at-risk estimation by dimensionally decomposed generalized polynomial chaos expansion. CoRR (2022)
Dongjin Lee, Boris Kramer
Multifidelity conditional value-at-risk estimation by dimensionally decomposed generalized polynomial chaos-Kriging. CoRR (2022)
Nathaniel J. Linden, Boris Kramer, Padmini Rangamani
Bayesian parameter estimation for dynamical models in systems biology. PLoS Comput. Biol. 18 (10) (2022)
Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CoRR (2022)
Nihar Sawant, Boris Kramer, Benjamin Peherstorfer
Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference. CoRR (2021)
Boris Kramer
Stability Domains for Quadratic-Bilinear Reduced-Order Models. SIAM J. Appl. Dyn. Syst. 20 (2) (2021)
Yizhe Huang, Boris Kramer
Balanced Reduced-Order Models for Iterative Nonlinear Control of Large-Scale Systems. IEEE Control. Syst. Lett. 5 (5) (2021)
Harsh Sharma, Zhu Wang, Boris Kramer
Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Hamiltonian Systems. CoRR (2021)
Yizhe Huang, Boris Kramer
Balanced Reduced-Order Models for Iterative Nonlinear Control of Large-Scale Systems. ACC (2021)
Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox
Certifiable Risk-Based Engineering Design Optimization. CoRR (2021)
Matthias Heinkenschloss, Boris Kramer, Timur Takhtaganov
Adaptive Reduced-Order Model Construction for Conditional Value-at-Risk Estimation. SIAM/ASA J. Uncertain. Quantification 8 (2) (2020)
Yizhe Huang, Boris Kramer
Balanced Reduced-Order Models for Iterative Nonlinear Control of Large-Scale Systems. CoRR (2020)
Anirban Chaudhuri, Boris Kramer, Karen E. Willcox
Information Reuse for Importance Sampling in Reliability-Based Design Optimization. Reliab. Eng. Syst. Saf. 201 (2020)
Peter Benner, Pawan Goyal, Boris Kramer, Benjamin Peherstorfer, Karen Willcox
Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms. CoRR (2020)
Renee Swischuk, Boris Kramer, Cheng Huang, Karen Willcox
Learning physics-based reduced-order models for a single-injector combustion process. CoRR (2019)
Boris Kramer, Karen E. Willcox
Balanced Truncation Model Reduction for Lifted Nonlinear Systems. CoRR (2019)
Elizabeth Qian, Boris Kramer, Benjamin Peherstorfer, Karen Willcox
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems. CoRR (2019)
Boris Kramer, Alexandre Noll Marques, Benjamin Peherstorfer, Umberto Villa, Karen Willcox
Multifidelity probability estimation via fusion of estimators. J. Comput. Phys. 392 (2019)
Boris Kramer, Alexandre Noll Marques, Benjamin Peherstorfer, Umberto Villa, Karen Willcox
Multifidelity probability estimation via fusion of estimators. CoRR (2019)
Benjamin Peherstorfer, Boris Kramer, Karen Willcox
Multifidelity Preconditioning of the Cross-Entropy Method for Rare Event Simulation and Failure Probability Estimation. SIAM/ASA J. Uncertain. Quantification 6 (2) (2018)
Boris Kramer, Karen Willcox
Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition. CoRR (2018)
Boris Kramer, Alex A. Gorodetsky
System Identification via CUR-Factored Hankel Approximation. SIAM J. Sci. Comput. 40 (2) (2018)
Matthias Heinkenschloss, Boris Kramer, Timur Takhtaganov, Karen Willcox
Conditional-Value-at-Risk Estimation via Reduced-Order Models. SIAM/ASA J. Uncertain. Quantification 6 (4) (2018)
Boris Kramer, Benjamin Peherstorfer, Karen Willcox
Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models. SIAM J. Appl. Dyn. Syst. 16 (3) (2017)
Mouhacine Benosman, Jeff Borggaard, Boris Kramer
Robust POD model stabilization for the 3D Boussinesq equations based on Lyapunov theory and extremum seeking. ACC (2017)
Benjamin Peherstorfer, Boris Kramer, Karen Willcox
Combining multiple surrogate models to accelerate failure probability estimation with expensive high-fidelity models. J. Comput. Phys. 341 (2017)
Boris Kramer, Piyush Grover, Petros Boufounos, Saleh Nabi, Mouhacine Benosman
Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows. SIAM J. Appl. Dyn. Syst. 16 (2) (2017)
Boris Kramer
Model reduction for control of a multiphysics system: Coupled Burgers' equation. ACC (2016)
Mouhacine Benosman, Jeff Borggaard, Boris Kramer
Robust Reduced-Order Model Stabilization for Partial Differential Equations Based on Lyapunov Theory and Extremum Seeking with Application to the 3D Boussinesq Equations. CoRR (2016)
Mouhacine Benosman, Boris Kramer, Petros T. Boufounos, Piyush Grover
Learning-based reduced order model stabilization for partial differential equations: Application to the coupled Burgers' equation. ACC (2016)
John A. Burns, Boris Kramer
Full flux models for optimization and control of heat exchangers. ACC (2015)
Mouhacine Benosman, Boris Kramer, Petros Boufounos, Piyush Grover
Learning-based Reduced Order Model Stabilization for Partial Differential Equations: Application to the Coupled Burgers Equation. CoRR (2015)
Alex Zwanenburg, Eduard Meijer, Ward Jennekens, Carola van Pul, Boris Kramer, Peter Andriessen
Automatic detection of burst synchrony in preterm infants. EMBC (2012)