Boris Kramer - RankMe

69 papers C 6Journal 60Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quadratization of Autonomous Partial Differential Equations: Theory and Algorithms. CoRR Albani Olivieri, Gleb Pogudin, Boris Kramer
2026	J	`jnl`	Reachability Analysis for Design Optimization. CoRR Steven Nguyen, Jorge Cortés, Boris Kramer
2026	J	`jnl`	Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations. Adv. Comput. Math. Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer
2025	J	`jnl`	Conservative closures of the Vlasov-Poisson equations based on symmetrically weighted Hermite spectral expansion. J. Comput. Phys. Opal Issan, Oleksandr Koshkarov, Federico D. Halpern, Boris Kramer, Gian Luca Delzanno
2025	J	`jnl`	Data-Driven Reduced-Order Models for Port-Hamiltonian Systems with Operator Inference. CoRR Yuwei Geng, Lili Ju, Boris Kramer, Zhu Wang
2025	J	`jnl`	Discovering Polynomial and Quadratic Structure in Nonlinear Ordinary Differential Equations. CoRR Boris Kramer, Gleb Pogudin
2025	J	`jnl`	Dynamic Shape Control of Soft Robots Enabled by Data-Driven Model Reduction. CoRR Iman Adibnazari, Harsh Sharma, Myungsun Park, Jacobo Cervera-Torralba, Boris Kramer, Michael T. Tolley
2025	J	`jnl`	Nonlinear energy-preserving model reduction with lifting transformations that quadratize the energy. CoRR Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer
2025	J	`jnl`	Parametric Operator Inference to Simulate the Purging Process in Semiconductor Manufacturing. CoRR Seunghyon Kang, Hyeonghun Kim, Boris Kramer
2025	J	`jnl`	Physically consistent predictive reduced-order modeling by enhancing Operator Inference with state constraints. CoRR Hyeonghun Kim, Boris Kramer
2025	J	`jnl`	Physically consistent predictive reduced-order modeling by enhancing operator inference with state constraints. J. Comput. Phys. Hyeonghun Kim, Boris Kramer
2025	J	`jnl`	Scalable Computation of $\mathcal {H}_\infty$ Energy Functions for Polynomial Control-Affine Systems. IEEE Trans. Autom. Control. Nicholas A. Corbin, Boris Kramer
2025	J	`jnl`	Scalable computation of input-normal/output-diagonal balanced realization for control-affine polynomial systems. Syst. Control. Lett. Nicholas A. Corbin, Arijit Sarkar, Jacquelien M. A. Scherpen, Boris Kramer
2025	J	`jnl`	Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations. CoRR Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer
2025	J	`jnl`	Weighted Proper Orthogonal Decomposition for High-Dimensional Optimization. CoRR Sebastiaan P. C. van Schie, Boris Kramer, John T. Hwang
2024	J	`jnl`	An Approximate Control Variates Approach to Multifidelity Distribution Estimation. SIAM/ASA J. Uncertain. Quantification Ruijian Han, Boris Kramer, Dongjin Lee, Akil Narayan, Yiming Xu
2024	J	`jnl`	Anti-symmetric and positivity preserving formulation of a spectral method for Vlasov-Poisson equations. J. Comput. Phys. Opal Issan, Oleksandr Koshkarov, Federico D. Halpern, Boris Kramer, Gian Luca Delzanno
2024	J	`jnl`	Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling. CoRR Nicholas Galioto, Harsh Sharma, Boris Kramer, Alex Arkady Gorodetsky
2024	—	`conf`	Computing Solutions to the Polynomial-Polynomial Regulator Problem. CDC Nicholas A. Corbin, Boris Kramer
2024	J	`jnl`	Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inference. CoRR Harsh Sharma, Iman Adibnazari, Jacobo Cervera-Torralba, Michael Thomas Tolley, Boris Kramer
2024	J	`jnl`	Exact and Optimal Quadratization of Nonlinear Finite-Dimensional Nonautonomous Dynamical Systems. SIAM J. Appl. Dyn. Syst. Andrey Bychkov, Opal Issan, Gleb Pogudin, Boris Kramer
2024	J	`jnl`	Global sensitivity analysis with limited data via sparsity-promoting D-MORPH regression: Application to char combustion. J. Comput. Phys. Dongjin Lee, Elle Lavichant, Boris Kramer
2024	J	`jnl`	Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure. CoRR Yuwei Geng, Jasdeep Singh, Lili Ju, Boris Kramer, Zhu Wang
2024	J	`jnl`	Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems. CoRR Harsh Sharma, David A. Najera-Flores, Michael D. Todd, Boris Kramer
2024	C	`conf`	Scalable Computation of $\mathcal{H}_{\infty}$ Energy Functions for Polynomial Drift Nonlinear Systems. ACC Nicholas A. Corbin, Boris Kramer
2023	J	`jnl`	Anti-symmetric and Positivity Preserving Formulation of a Spectral Method for Vlasov-Poisson Equations. CoRR Opal Issan, Oleksandr Koshkarov, Federico D. Halpern, Boris Kramer, Gian Luca Delzanno
2023	J	`jnl`	Correction: Bayesian parameter estimation for dynamical models in systems biology. PLoS Comput. Biol. Nathaniel J. Linden, Boris Kramer, Padmini Rangamani
2023	J	`jnl`	Exact and optimal quadratization of nonlinear finite-dimensional non-autonomous dynamical systems. CoRR Andrey Bychkov, Opal Issan, Gleb Pogudin, Boris Kramer
2023	J	`jnl`	Global sensitivity analysis in the limited data setting with application to char combustion. CoRR Dongjin Lee, Elle Lavichant, Boris Kramer
2023	J	`jnl`	Multifidelity conditional value-at-risk estimation by dimensionally decomposed generalized polynomial chaos-Kriging. Reliab. Eng. Syst. Saf. Dongjin Lee, Boris Kramer
2023	J	`jnl`	Nonlinear Balanced Truncation: Part 2 - Model Reduction on Manifolds. CoRR Boris Kramer, Serkan Gugercin, Jeff Borggaard
2023	J	`jnl`	Predicting solar wind streams from the inner-heliosphere to Earth via shifted operator inference. J. Comput. Phys. Opal Issan, Boris Kramer
2023	J	`jnl`	Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds. CoRR Harsh Sharma, Hongliang Mu, Patrick Buchfink, Rudy Geelen, Silke Glas, Boris Kramer
2022	—	`conf`	Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CDC Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer
2022	J	`jnl`	Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CoRR Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer
2022	J	`jnl`	Bayesian parameter estimation for dynamical models in systems biology. PLoS Comput. Biol. Nathaniel J. Linden, Boris Kramer, Padmini Rangamani
2022	J	`jnl`	Bi-fidelity conditional-value-at-risk estimation by dimensionally decomposed generalized polynomial chaos expansion. CoRR Dongjin Lee, Boris Kramer
2022	J	`jnl`	Learning state variables for physical systems. Nat. Comput. Sci. Boris Kramer
2022	J	`jnl`	Multifidelity conditional value-at-risk estimation by dimensionally decomposed generalized polynomial chaos-Kriging. CoRR Dongjin Lee, Boris Kramer
2022	J	`jnl`	Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale mechanical systems. CoRR Harsh Sharma, Boris Kramer
2021	C	`conf`	Balanced Reduced-Order Models for Iterative Nonlinear Control of Large-Scale Systems. ACC Yizhe Huang, Boris Kramer
2021	J	`jnl`	Balanced Reduced-Order Models for Iterative Nonlinear Control of Large-Scale Systems. IEEE Control. Syst. Lett. Yizhe Huang, Boris Kramer
2021	J	`jnl`	Certifiable Risk-Based Engineering Design Optimization. CoRR Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox
2021	J	`jnl`	Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Hamiltonian Systems. CoRR Harsh Sharma, Zhu Wang, Boris Kramer
2021	J	`jnl`	Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference. CoRR Nihar Sawant, Boris Kramer, Benjamin Peherstorfer
2021	J	`jnl`	Stability Domains for Quadratic-Bilinear Reduced-Order Models. SIAM J. Appl. Dyn. Syst. Boris Kramer
2020	J	`jnl`	Adaptive Reduced-Order Model Construction for Conditional Value-at-Risk Estimation. SIAM/ASA J. Uncertain. Quantification Matthias Heinkenschloss, Boris Kramer, Timur Takhtaganov
2020	J	`jnl`	Balanced Reduced-Order Models for Iterative Nonlinear Control of Large-Scale Systems. CoRR Yizhe Huang, Boris Kramer
2020	J	`jnl`	Information Reuse for Importance Sampling in Reliability-Based Design Optimization. Reliab. Eng. Syst. Saf. Anirban Chaudhuri, Boris Kramer, Karen E. 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`	Balanced Truncation Model Reduction for Lifted Nonlinear Systems. CoRR Boris Kramer, Karen E. 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	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`	System Identification via CUR-Factored Hankel Approximation. SIAM J. Sci. Comput. Boris Kramer, Alex A. Gorodetsky
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`	Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models. SIAM J. Appl. Dyn. Syst. Boris Kramer, Benjamin Peherstorfer, Karen Willcox
2017	C	`conf`	Robust POD model stabilization for the 3D Boussinesq equations based on Lyapunov theory and extremum seeking. ACC Mouhacine Benosman, Jeff Borggaard, Boris Kramer
2017	J	`jnl`	Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows. SIAM J. Appl. Dyn. Syst. Boris Kramer, Piyush Grover, Petros Boufounos, Saleh Nabi, Mouhacine Benosman
2016	C	`conf`	Learning-based reduced order model stabilization for partial differential equations: Application to the coupled Burgers' equation. ACC Mouhacine Benosman, Boris Kramer, Petros T. Boufounos, Piyush Grover
2016	C	`conf`	Model reduction for control of a multiphysics system: Coupled Burgers' equation. ACC Boris Kramer
2016	J	`jnl`	Robust Reduced-Order Model Stabilization for Partial Differential Equations Based on Lyapunov Theory and Extremum Seeking with Application to the 3D Boussinesq Equations. CoRR Mouhacine Benosman, Jeff Borggaard, Boris Kramer
2015	C	`conf`	Full flux models for optimization and control of heat exchangers. ACC John A. Burns, Boris Kramer
2015	J	`jnl`	Learning-based Reduced Order Model Stabilization for Partial Differential Equations: Application to the Coupled Burgers Equation. CoRR Mouhacine Benosman, Boris Kramer, Petros Boufounos, Piyush Grover
2012	—	`conf`	Automatic detection of burst synchrony in preterm infants. EMBC Alex Zwanenburg, Eduard Meijer, Ward Jennekens, Carola van Pul, Boris Kramer, Peter Andriessen