Sebastian Peitz

About Sebastian Peitz

Sebastian Peitz, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Universität Paderborn, specializes in the field of Multiobjective Optimization, Control, Data-driven modeling, Machine Learning, Reinforcement Learning.

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

Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines

Error bounds for kernel-based approximations of the Koopman operator

Learning Bilinear Models of Actuated Koopman Generators from Partially Observed Trajectories

On the continuity and smoothness of the value function in reinforcement learning and optimal control

Distributed control of partial differential equations using convolutional reinforcement learning

Fast multiobjective gradient methods with Nesterov acceleration via inertial gradient-like systems

A descent method for nonsmooth multiobjective optimization in Hilbert spaces

Extended Dynamic Mode Decomposition: Sharp bounds on the sample efficiency

Sebastian Peitz Information

University

Position

Assistant Professor

Citations(all)

1340

Citations(since 2020)

1214

Cited By

540

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

30

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Sebastian Peitz Skills & Research Interests

Multiobjective Optimization

Control

Data-driven modeling

Machine Learning

Reinforcement Learning

Top articles of Sebastian Peitz

Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines

arXiv preprint arXiv:2404.18530

2024/4/29

Sebastian Peitz
Sebastian Peitz

H-Index: 14

Error bounds for kernel-based approximations of the Koopman operator

Applied and Computational Harmonic Analysis

2024/4/4

Learning Bilinear Models of Actuated Koopman Generators from Partially Observed Trajectories

SIAM Journal on Applied Dynamical Systems

2024/3/31

Sebastian Peitz
Sebastian Peitz

H-Index: 14

On the continuity and smoothness of the value function in reinforcement learning and optimal control

arXiv preprint arXiv:2403.14432

2024/3/21

Sebastian Peitz
Sebastian Peitz

H-Index: 14

Distributed control of partial differential equations using convolutional reinforcement learning

Physica D: Nonlinear Phenomena

2024/2/21

Fast multiobjective gradient methods with Nesterov acceleration via inertial gradient-like systems

Journal of Optimization Theory and Applications

2024/2/17

Sebastian Peitz
Sebastian Peitz

H-Index: 14

A descent method for nonsmooth multiobjective optimization in Hilbert spaces

arXiv preprint arXiv:2402.06376

2024/2/9

Sebastian Peitz
Sebastian Peitz

H-Index: 14

Extended Dynamic Mode Decomposition: Sharp bounds on the sample efficiency

arXiv preprint arXiv:2402.02494

2024/2/4

Computer-implemented method for terminating a scenario-based test process of a driving assistance system

2024/1/11

Multi-Objective Optimization for Sparse Deep Multi-Task Learning

arXiv

2024

Sebastian Peitz
Sebastian Peitz

H-Index: 14

Error analysis of kernel EDMD for prediction and control in the Koopman framework

arXiv preprint arXiv:2312.10460

2023/12/16

Accelerating the analysis of optical quantum systems using the Koopman operator

arXiv preprint arXiv:2310.16578

2023/10/25

Sebastian Peitz
Sebastian Peitz

H-Index: 14

Torsten Meier
Torsten Meier

H-Index: 22

Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits

PAMM

2023/10

Sebastian Peitz
Sebastian Peitz

H-Index: 14

ElectricGrid. jl-A Julia-based modeling and simulation tool for power electronics-driven electric energy grids

Journal of Open Source Software

2023/9/2

A multiobjective continuation method to compute the regularization path of deep neural networks

arXiv preprint arXiv:2308.12044

2023/8/23

Sebastian Peitz
Sebastian Peitz

H-Index: 14

Multi-Objective Optimization for Sparse Deep Neural Network Training

arXiv preprint arXiv:2308.12243

2023/8/23

Sebastian Peitz
Sebastian Peitz

H-Index: 14

Multiobjective optimization of non-smooth pde-constrained problems

arXiv preprint arXiv:2308.01113

2023/8/2

Michael Dellnitz
Michael Dellnitz

H-Index: 21

Sebastian Peitz
Sebastian Peitz

H-Index: 14

Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems

arXiv preprint arXiv:2307.15325

2023/7/28

Fast convergence of inertial multiobjective gradient-like systems with asymptotic vanishing damping

arXiv preprint arXiv:2307.00975

2023/7/3

Sebastian Peitz
Sebastian Peitz

H-Index: 14

Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs

arXiv preprint arXiv:2302.07160

2023/2/14

Stefan Werner
Stefan Werner

H-Index: 6

Sebastian Peitz
Sebastian Peitz

H-Index: 14

See List of Professors in Sebastian Peitz University(Universität Paderborn)

Co-Authors

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