Benjamin Peherstorfer

Benjamin Peherstorfer

New York University

H-index: 28

North America-United States

About Benjamin Peherstorfer

Benjamin Peherstorfer, With an exceptional h-index of 28 and a recent h-index of 28 (since 2020), a distinguished researcher at New York University, specializes in the field of Applied and computational mathematics, computational statistics, machine learning, scientific computing, model reduction.

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

Coupling parameter and particle dynamics for adaptive sampling in Neural Galerkin schemes

Greedy construction of quadratic manifolds for nonlinear dimensionality reduction and nonlinear model reduction

CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations

Learning nonlinear reduced models from data with operator inference

Neural Galerkin schemes with active learning for high-dimensional evolution equations

Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations

Active operator inference for learning low-dimensional dynamical-system models from noisy data

On the sample complexity of stabilizing linear dynamical systems from data

Benjamin Peherstorfer Information

University

Position

Courant Institute of Mathematical Sciences

Citations(all)

4492

Citations(since 2020)

3814

Cited By

1983

hIndex(all)

28

hIndex(since 2020)

28

i10Index(all)

50

i10Index(since 2020)

41

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Benjamin Peherstorfer Skills & Research Interests

Applied and computational mathematics

computational statistics

machine learning

scientific computing

model reduction

Top articles of Benjamin Peherstorfer

Title

Journal

Author(s)

Publication Date

Coupling parameter and particle dynamics for adaptive sampling in Neural Galerkin schemes

Physica D: Nonlinear Phenomena

Yuxiao Wen

Eric Vanden-Eijnden

Benjamin Peherstorfer

2024/3/12

Greedy construction of quadratic manifolds for nonlinear dimensionality reduction and nonlinear model reduction

arXiv preprint arXiv:2403.06732

Paul Schwerdtner

Benjamin Peherstorfer

2024/3/11

CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations

arXiv preprint arXiv:2402.14646

Jules Berman

Benjamin Peherstorfer

2024/2/22

Learning nonlinear reduced models from data with operator inference

Boris Kramer

Benjamin Peherstorfer

Karen E Willcox

2024/1/19

Neural Galerkin schemes with active learning for high-dimensional evolution equations

Journal of Computational Physics

Joan Bruna

Benjamin Peherstorfer

Eric Vanden-Eijnden

2024/1/1

Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations

arXiv preprint 2404.01145

Huan Zhang

Yifan Chen

Eric Vanden-Eijnden

Benjamin Peherstorfer

2024/4

Active operator inference for learning low-dimensional dynamical-system models from noisy data

SIAM Journal on Scientific Computing

Wayne Isaac Tan Uy

Yuepeng Wang

Yuxiao Wen

Benjamin Peherstorfer

2023/8/31

On the sample complexity of stabilizing linear dynamical systems from data

Foundations of Computational Mathematics

Steffen WR Werner

Benjamin Peherstorfer

2023/1/23

Meta variance reduction for Monte Carlo estimation of energetic particle confinement during stellarator optimization

Journal of Computational Physics

Frederick Law

Antoine Cerfon

Benjamin Peherstorfer

Florian Wechsung

2023/12/15

Manifold Approximations via Transported Subspaces: Model Reduction for Transport-Dominated Problems

SIAM Journal on Scientific Computing

Donsub Rim

Benjamin Peherstorfer

Kyle T Mandli

2023/2/28

Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices

arXiv preprint arXiv:2307.12438

Aimee Maurais

Terrence Alsup

Benjamin Peherstorfer

Youssef Marzouk

2023/7/23

Context-aware controller inference for stabilizing dynamical systems from scarce data

Proceedings of the Royal Society A

Steffen WR Werner

Benjamin Peherstorfer

2023/2/22

Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks

Jules Berman

Benjamin Peherstorfer

2023/12

Multifidelity Robust Controller Design with Gradient Sampling

SIAM Journal on Scientific Computing

Steffen WR Werner

Michael L Overton

Benjamin Peherstorfer

2023/4/30

Rank-Minimizing and Structured Model Inference

arXiv preprint arXiv:2302.09521

Pawan Goyal

Benjamin Peherstorfer

Peter Benner

2023/2/19

Lookahead data-gathering strategies for online adaptive model reduction of transport-dominated problems

Chaos: An Interdisciplinary Journal of Nonlinear Science

Rodrigo Singh

Wayne Isaac Tan Uy

Benjamin Peherstorfer

2023/11/1

Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes

arXiv preprint arXiv:2310.07485

Paul Schwerdtner

Philipp Schulze

Jules Berman

Benjamin Peherstorfer

2023/10/11

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

Computer Methods in Applied Mechanics and Engineering

Nihar Sawant

Boris Kramer

Benjamin Peherstorfer

2023/2/1

Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems

SIAM/ASA Journal on Uncertainty Quantification

Terrence Alsup

Benjamin Peherstorfer

2023/3/31

Operator inference with roll outs for learning reduced models from scarce and low-quality data

Computers & Mathematics with Applications

Wayne Isaac Tan Uy

Dirk Hartmann

Benjamin Peherstorfer

2023/9/1

See List of Professors in Benjamin Peherstorfer University(New York University)

Co-Authors

H-index: 80
Max Gunzburger

Max Gunzburger

Florida State University

H-index: 53
Michael L. Overton

Michael L. Overton

New York University

H-index: 45
Joan Bruna

Joan Bruna

New York University

H-index: 43
Youssef Marzouk

Youssef Marzouk

Massachusetts Institute of Technology

H-index: 39
Serkan Gugercin

Serkan Gugercin

Virginia Polytechnic Institute and State University

H-index: 39
Daniel Kressner

Daniel Kressner

École Polytechnique Fédérale de Lausanne

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