Boris Kramer

Boris Kramer

University of California, San Diego

H-index: 19

North America-United States

About Boris Kramer

Boris Kramer, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Model Reduction, Uncertainty Quantification, Control, System Identification.

His recent articles reflect a diverse array of research interests and contributions to the field:

Scalable computation of energy functions for nonlinear balanced truncation

Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale dynamical systems

Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems

Exact and Optimal Quadratization of Nonlinear Finite-Dimensional Nonautonomous Dynamical Systems

Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling

Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure

Learning nonlinear reduced models from data with operator inference

Anti-symmetric and Positivity Preserving Formulation of a Spectral Method for Vlasov-Poisson Equations

Boris Kramer Information

University

Position

___

Citations(all)

1296

Citations(since 2020)

1190

Cited By

441

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

29

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Boris Kramer Skills & Research Interests

Model Reduction

Uncertainty Quantification

Control

System Identification

Top articles of Boris Kramer

Scalable computation of energy functions for nonlinear balanced truncation

Computer Methods in Applied Mechanics and Engineering

2024/7/1

Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale dynamical systems

Physica D: Nonlinear Phenomena

2024/6/1

Harsh Sharma
Harsh Sharma

H-Index: 1

Boris Kramer
Boris Kramer

H-Index: 12

Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems

Computer Methods in Applied Mechanics and Engineering

2024/4/1

Harsh Sharma
Harsh Sharma

H-Index: 1

Boris Kramer
Boris Kramer

H-Index: 12

Exact and Optimal Quadratization of Nonlinear Finite-Dimensional Nonautonomous Dynamical Systems

SIAM Journal on Applied Dynamical Systems

2024/3/31

Gleb Pogudin
Gleb Pogudin

H-Index: 6

Boris Kramer
Boris Kramer

H-Index: 12

Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling

arXiv preprint arXiv:2401.12476

2024/1/23

Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure

arXiv preprint arXiv:2401.12138

2024/1/22

Learning nonlinear reduced models from data with operator inference

2024/1/19

Boris Kramer
Boris Kramer

H-Index: 12

Benjamin Peherstorfer
Benjamin Peherstorfer

H-Index: 21

Anti-symmetric and Positivity Preserving Formulation of a Spectral Method for Vlasov-Poisson Equations

arXiv preprint arXiv:2312.05439

2023/12/9

Boris Kramer
Boris Kramer

H-Index: 12

Bayesian parameter estimation for the inclusion of uncertainty in progressive damage simulation of composites

Composite Structures

2023/10/1

Full-Body Optimal Control of a Swimming Soft Robot Enabled by Data-Driven Model Reduction

Southern California Robotics Symposium

2023

Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction

Space Weather

2023/9/11

Boris Kramer
Boris Kramer

H-Index: 12

Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds

Computer Methods in Applied Mechanics and Engineering

2023/12/1

Global sensitivity analysis in the limited data setting with application to char combustion

arXiv preprint arXiv:2307.07486

2023/7/14

Dongjin Lee
Dongjin Lee

H-Index: 1

Boris Kramer
Boris Kramer

H-Index: 12

Multifidelity conditional value-at-risk estimation by dimensionally decomposed generalized polynomial chaos-Kriging

Reliability Engineering & System Safety

2023/7/1

Dongjin Lee
Dongjin Lee

H-Index: 1

Boris Kramer
Boris Kramer

H-Index: 12

An approximate control variates approach to multifidelity distribution estimation

arXiv preprint arXiv:2303.06422

2023/3/11

Nonlinear Balanced Truncation: Part 2--Model Reduction on Manifolds

arXiv preprint arXiv:2302.02036

2023/2/4

Bi-fidelity conditional value-at-risk estimation by dimensionally decomposed generalized polynomial chaos expansion

Structural and Multidisciplinary Optimization

2023/2

Dongjin Lee
Dongjin Lee

H-Index: 1

Boris Kramer
Boris Kramer

H-Index: 12

Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference

Computer Methods in Applied Mechanics and Engineering

2023/2/1

Boris Kramer
Boris Kramer

H-Index: 12

Benjamin Peherstorfer
Benjamin Peherstorfer

H-Index: 21

Predicting solar wind streams from the inner-heliosphere to earth via shifted operator inference

Journal of Computational Physics

2023/1/15

Boris Kramer
Boris Kramer

H-Index: 12

Balanced truncation model reduction for lifted nonlinear systems

Realization and Model Reduction of Dynamical Systems-A Festschrift in Honor of the 70 th Birthday of Thanos Antoulas

2022

Boris Kramer
Boris Kramer

H-Index: 12

See List of Professors in Boris Kramer University(University of California, San Diego)

Co-Authors

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