Learning stable Gaussian process state space models. - Jonas Umlauft; Armin Lederer; Sandra Hirche (ACC, 2017)

Local Asymptotic Stability Analysis and Region of Attraction Estimation with Gaussian Processes. - Armin Lederer; Sandra Hirche (CDC, 2019)

Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. - Armin Lederer; Jonas Umlauft; Sandra Hirche (NeurIPS, 2019)

Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves. - Armin Lederer; Jonas Umlauft; Sandra Hirche (CoRR, 2019)

Confidence Regions for Simulations with Learned Probabilistic Models. - Armin Lederer; Qing Hao; Sandra Hirche (ACC, 2020)

Localized active learning of Gaussian process state space models. - Alexandre Capone; Gerrit Noske; Jonas Umlauft; Thomas Beckers 001; Armin Lederer; Sandra Hirche (L4DC, 2020)

Parameter Optimization for Learning-based Control of Control-Affine Systems. - Armin Lederer; Alexandre Capone; Sandra Hirche (L4DC, 2020)

Smart Forgetting for Safe Online Learning with Gaussian Processes. - Jonas Umlauft; Thomas Beckers 001; Alexandre Capone; Armin Lederer; Sandra Hirche (L4DC, 2020)

Localized active learning of Gaussian process state space models. - Alexandre Capone; Jonas Umlauft; Thomas Beckers 001; Armin Lederer; Sandra Hirche (CoRR, 2020)

Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression. - Wenxin Xiao; Armin Lederer; Sandra Hirche (CoRR, 2020)

GP3: A Sampling-based Analysis Framework for Gaussian Processes. - Armin Lederer; Markus Kessler; Sandra Hirche (CoRR, 2020)

Real-Time Regression with Dividing Local Gaussian Processes. - Armin Lederer; Alejandro Jose Ordóñez Conejo; Korbinian Maier; Wenxin Xiao; Sandra Hirche (CoRR, 2020)

Real-time Uncertainty Decomposition for Online Learning Control. - Jonas Umlauft; Armin Lederer; Thomas Beckers 001; Sandra Hirche (CoRR, 2020)

The Value of Data in Learning-Based Control for Training Subset Selection. - Armin Lederer; Alexandre Capone; Thomas Beckers 001; Jonas Umlauft; Sandra Hirche (CoRR, 2020)

Distributed Bayesian Online Learning for Cooperative Manipulation. - Pablo Budde gen. Dohmann; Armin Lederer; Marcel Dißemond; Sandra Hirche (CDC, 2021)

Inverse Reinforcement Learning: A Control Lyapunov Approach. - Samuel Tesfazgi; Armin Lederer; Sandra Hirche (CDC, 2021)

Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes. - Zewen Yang; Stefan Sosnowski; Qingchen Liu; Junjie Jiao; Armin Lederer; Sandra Hirche (CDC, 2021)

Gaussian Process-Based Real-Time Learning for Safety Critical Applications. - Armin Lederer; Alejandro Jose Ordóñez Conejo; Korbinian Maier; Wenxin Xiao; Jonas Umlauft; Sandra Hirche (ICML, 2021)

The Impact of Data on the Stability of Learning-Based Control. - Armin Lederer; Alexandre Capone; Thomas Beckers 001; Jonas Umlauft; Sandra Hirche (L4DC, 2021)

Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control. - Armin Lederer; Jonas Umlauft; Sandra Hirche (CoRR, 2021)

Personalized Rehabilitation Robotics based on Online Learning Control. - Samuel Tesfazgi; Armin Lederer; Johannes F. Kunz; Alejandro Jose Ordóñez Conejo; Sandra Hirche (CoRR, 2021)

KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators. - Petar Bevanda; Max Beier; Sebastian Kerz; Armin Lederer; Stefan Sosnowski; Sandra Hirche (CoRR, 2021)

Data Selection for Multi-Task Learning Under Dynamic Constraints. - Alexandre Capone; Armin Lederer; Jonas Umlauft; Sandra Hirche (IEEE Control. Syst. Lett., 2021)

How Training Data Impacts Performance in Learning-Based Control. - Armin Lederer; Alexandre Capone; Jonas Umlauft; Sandra Hirche (IEEE Control. Syst. Lett., 2021)

Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes. - Armin Lederer; Mingmin Zhang; Samuel Tesfazgi; Sandra Hirche (CCTA, 2022)

Safe Reinforcement Learning via Confidence-Based Filters. - Sebastian Curi; Armin Lederer; Sandra Hirche; Andreas Krause 001 (CDC, 2022)

Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes. - Alejandro Jose Ordóñez Conejo; Armin Lederer; Sandra Hirche (ECC, 2022)

Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. - Alexandre Capone; Armin Lederer; Sandra Hirche (ICML, 2022)

Uncertainty-Aware Visual Perception for Safe Motion Planning. - Ralf Römer; Armin Lederer; Samuel Tesfazgi; Sandra Hirche (CoRR, 2022)

Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions. - Armin Lederer; Azra Begzadic; Neha Das; Sandra Hirche (CoRR, 2022)

Diffeomorphically Learning Stable Koopman Operators. - Petar Bevanda; Max Beier; Sebastian Kerz; Armin Lederer; Stefan Sosnowski; Sandra Hirche (IEEE Control. Syst. Lett., 2022)

Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. - Armin Lederer; Erfaun Noorani; John S. Baras; Sandra Hirche (CDC, 2023)

Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. - Xiaobing Dai; Armin Lederer; Zewen Yang; Sandra Hirche (L4DC, 2023)

Koopman Kernel Regression. - Petar Bevanda; Max Beier; Armin Lederer; Stefan Sosnowski; Eyke Hüllermeier; Sandra Hirche (NeurIPS, 2023)

Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors. - Armin Lederer; Jonas Umlauft; Sandra Hirche (CoRR, 2023)

Rigid Motion Gaussian Processes With SE(3) Kernel and Application to Visual Pursuit Control. - Marco Omainska; Junya Yamauchi; Armin Lederer; Sandra Hirche; Masayuki Fujita (IEEE Control. Syst. Lett., 2023)

Cooperative Control of Uncertain Multiagent Systems via Distributed Gaussian Processes. - Armin Lederer; Zewen Yang; Junjie Jiao; Sandra Hirche (IEEE Trans. Autom. Control., 2023)

Vision-Based Uncertainty-Aware Motion Planning Based on Probabilistic Semantic Segmentation. - Ralf Römer; Armin Lederer; Samuel Tesfazgi; Sandra Hirche (IEEE Robotics Autom. Lett., 2023)

Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control Under Switching Topologies. - Zewen Yang; Songbo Dong; Armin Lederer; Xiaobing Dai; Siyu Chen; Stefan Sosnowski; Georges Hattab; Sandra Hirche (ACC, 2024)

Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States. - Robert Lefringhausen; Supitsana Srithasan; Armin Lederer; Sandra Hirche (ECC, 2024)

Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes. - Samuel Tesfazgi; Markus Keßler; Emilio Trigili; Armin Lederer; Sandra Hirche (IROS, 2024)

Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes. - Samuel Tesfazgi; Leonhard Sprandl; Armin Lederer; Sandra Hirche (CoRR, 2024)

Safe Barrier-Constrained Control of Uncertain Systems via Event-triggered Learning. - Armin Lederer; Azra Begzadic; Sandra Hirche; Jorge Cortés 001; Sylvia L. Herbert (CoRR, 2024)

PGopt. - Robert Lefringhausen; Supitsana Srithasan; Armin Lederer; Sandra Hirche (Zenodo, 2024)

PGopt. - Robert Lefringhausen; Supitsana Srithasan; Armin Lederer; Sandra Hirche (Zenodo, 2024)

Koopman-Equivariant Gaussian Processes. - Petar Bevanda; Max Beier; Alexandre Capone; Stefan Sosnowski; Sandra Hirche; Armin Lederer (AISTATS, 2025)

Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models. - Tzu-Yuan Huang; Armin Lederer; Nicolas Hoischen; Jan Brüdigam; Xuehua Xiao; Stefan Sosnowski; Sandra Hirche (L4DC, 2025)

Distributed Risk-Sensitive Safety Filters for Uncertain Discrete-Time Systems. - Armin Lederer; Erfaun Noorani; Andreas Krause 001 (IEEE Control. Syst. Lett., 2025)