Nikolai Matni

Nikolai Matni

University of Pennsylvania

H-index: 28

North America-United States

About Nikolai Matni

Nikolai Matni, With an exceptional h-index of 28 and a recent h-index of 26 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Control Theory, Machine Learning, Optimization.

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

Reactive Temporal Logic-based Planning and Control for Interactive Robotic Tasks

Active Learning for Control-Oriented Identification of Nonlinear Systems

Learning robust output control barrier functions from safe expert demonstrations

Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies

The noise level in linear regression with dependent data

Sharp rates in dependent learning theory: Avoiding sample size deflation for the square loss

Towards a Theory of Control Architecture: A quantitative framework for layered multi-rate control

Why Change Your Controller When You Can Change Your Planner: Drag-Aware Trajectory Generation for Quadrotor Systems

Nikolai Matni Information

University

Position

Assistant Professor of Electrical and Systems Engineering

Citations(all)

3474

Citations(since 2020)

2954

Cited By

1561

hIndex(all)

28

hIndex(since 2020)

26

i10Index(all)

63

i10Index(since 2020)

48

Email

University Profile Page

Google Scholar

Nikolai Matni Skills & Research Interests

Control Theory

Machine Learning

Optimization

Top articles of Nikolai Matni

Reactive Temporal Logic-based Planning and Control for Interactive Robotic Tasks

arXiv preprint arXiv:2404.19594

2024/4/30

Active Learning for Control-Oriented Identification of Nonlinear Systems

arXiv preprint arXiv:2404.09030

2024/4/13

Nikolai Matni
Nikolai Matni

H-Index: 18

Learning robust output control barrier functions from safe expert demonstrations

arXiv preprint arXiv:2111.09971

2021/11/18

Lars Lindemann
Lars Lindemann

H-Index: 8

Nikolai Matni
Nikolai Matni

H-Index: 18

Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies

arXiv preprint arXiv:2403.18222

2024/3/27

The noise level in linear regression with dependent data

Advances in Neural Information Processing Systems

2024/2/13

Nikolai Matni
Nikolai Matni

H-Index: 18

Sharp rates in dependent learning theory: Avoiding sample size deflation for the square loss

arXiv preprint arXiv:2402.05928

2024/2/8

Nikolai Matni
Nikolai Matni

H-Index: 18

Towards a Theory of Control Architecture: A quantitative framework for layered multi-rate control

arXiv preprint arXiv:2401.15185

2024/1/26

Nikolai Matni
Nikolai Matni

H-Index: 18

Why Change Your Controller When You Can Change Your Planner: Drag-Aware Trajectory Generation for Quadrotor Systems

arXiv preprint arXiv:2401.04960

2024/1/10

Vijay Kumar
Vijay Kumar

H-Index: 0

Nikolai Matni
Nikolai Matni

H-Index: 18

EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields

2024

Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification

arXiv preprint arXiv:2401.00073

2023/12/29

Anders Rantzer
Anders Rantzer

H-Index: 32

Nikolai Matni
Nikolai Matni

H-Index: 18

A Tutorial on the Non-Asymptotic Theory of System Identification

2023/12/13

Safety filter design for neural network systems via convex optimization

2023/12/13

Shaoru Chen
Shaoru Chen

H-Index: 3

Nikolai Matni
Nikolai Matni

H-Index: 18

The fundamental limitations of learning linear-quadratic regulators

2023/12/13

Statistical learning theory for control: A finite-sample perspective

2023/11/14

Anastasios Tsiamis
Anastasios Tsiamis

H-Index: 8

Nikolai Matni
Nikolai Matni

H-Index: 18

Augmented lagrangian methods as layered control architectures

arXiv preprint arXiv:2311.06404

2023/11/10

Vijay Kumar
Vijay Kumar

H-Index: 0

Nikolai Matni
Nikolai Matni

H-Index: 18

Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data

2023/10/13

James Anderson
James Anderson

H-Index: 44

Nikolai Matni
Nikolai Matni

H-Index: 18

A data-driven approach to synthesizing dynamics-aware trajectories for underactuated robotic systems

2023/10/1

Learning Safe and Stable Motion Plans with Neural Ordinary Differential Equations

arXiv preprint arXiv:2308.00186

2023/7/31

The power of learned locally linear models for nonlinear policy optimization

2023/7/3

Multi-task imitation learning for linear dynamical systems

2023/6/6

See List of Professors in Nikolai Matni University(University of Pennsylvania)

Co-Authors

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