Armin Lederer - Concepedia

Author

Armin Lederer

Also Known As

A. Lederer; M. Kessler; S. Hirche, A. Lederer;A. Capone;J. Umlauft;S. Hirche, A. Lederer;J. Umlauft;S. Hirche, Armin Lederer, Lederer, Armin, Umlauft, Jonas

Publications

337

Citations

H-Index

Concepts

All Affiliations

Technical University of Munich

About

Armin Lederer is an author at Technical University of Munich specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	172
2	Computer Science	7	7	139
3	Data Science	6	6	100
4	Business	1	1	16
5	Management	1	1	15

Armin Lederer

Publications

186

Citations

H-Index

Page 1

	Year	Citations
Cooperative Control of Uncertain Multiagent Systems via Distributed Gaussian Processes Armin Lederer, Zewen Yang, Junjie Jiao, IEEE Transactions on Automatic Control EngineeringMachine LearningNetworked ControlAutonomous SystemsMulti-agent Learning	2022	41
Learning stable Gaussian process state space models Jonas Umlauft, Armin Lederer, Sandra Hirche Artificial IntelligenceNonlinear System IdentificationEngineeringMachine LearningData Science	2017	37
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control Armin Lederer, Jonas Umlauft, Sandra Hirche arXiv (Cornell University) Robotic SystemsEngineeringUniform Error BoundsSafe ControlLearning Control	2019	17
How Training Data Impacts Performance in Learning-based Control Armin Lederer mediaTUM (Technical University of Munich) EngineeringMachine LearningFirst Principle ModelsLearning ControlControl Systems	N/A	16
Gaussian Process-Based Real-Time Learning for Safety Critical Applications Armin Lederer, Alejandro Ordóñez Conejo, Korbinian Maier, Artificial IntelligenceEngineeringMachine LearningSafety ScienceIntelligent Systems	2021	15
Local Asymptotic Stability Analysis and Region of Attraction Estimation with Gaussian Processes Armin Lederer, Sandra Hirche Mathematical ProgrammingNumerical AnalysisEngineeringContinuous OptimizationApproximate Dynamic Programming	2019	14
Diffeomorphically Learning Stable Koopman Operators Petar Bevanda, Max Beier, Sebastian Kerz, IEEE Control Systems Letters	2022	14
Smart Forgetting for Safe Online Learning with Gaussian Processes Jonas Umlauft, Thomas Beckers, Alexandre Capone, Learning for Dynamics and Control Artificial IntelligenceSafe Forgetting MechanismRobotic SystemsEngineeringMachine Learning	2020	11
Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control Armin Lederer, Jonas Umlauft, Sandra Hirche arXiv (Cornell University) EngineeringMachine LearningLearning ControlProcess SafetyData Science	2021	11
Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves Armin Lederer, Jonas Umlauft, Sandra Hirche arXiv (Cornell University) EngineeringMachine LearningLearning ControlBayesian InferenceData Science	2019	10

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