Armin Lederer - RankMe

69 papers A* 4A 2C 3Journal 44Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Episodic Gaussian Process-Based Learning Control With Vanishing Tracking Errors. IEEE Trans. Autom. Control. Armin Lederer, Jonas Umlauft, Sandra Hirche
2025	J	`jnl`	Distributed Risk-Sensitive Safety Filters for Uncertain Discrete-Time Systems. CoRR Armin Lederer, Erfaun Noorani, Andreas Krause
2025	J	`jnl`	Distributed Risk-Sensitive Safety Filters for Uncertain Discrete-Time Systems. IEEE Control. Syst. Lett. Armin Lederer, Erfaun Noorani, Andreas Krause
2025	A	`conf`	Koopman-Equivariant Gaussian Processes. AISTATS Petar Bevanda, Max Beier, Alexandre Capone, Stefan Sosnowski, Sandra Hirche, Armin Lederer
2025	J	`jnl`	Koopman-Equivariant Gaussian Processes. CoRR Petar Bevanda, Max Beier, Armin Lederer, Alexandre Capone, Stefan Sosnowski, Sandra Hirche
2025	—	`conf`	Learning High-Order CBFs using Gaussian processes for systems in Brunovský canonical form. CDC Azra Begzadic, Armin Lederer, Jorge Cortés, Sylvia L. Herbert
2025	J	`jnl`	Risk-Sensitive Safety Filters for Reinforcement Learning With Probabilistic Guarantees. IEEE Trans. Autom. Control. Armin Lederer, Erfaun Noorani, John S. Baras, Sandra Hirche
2025	J	`jnl`	SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning. CoRR Tzu-Yuan Huang, Armin Lederer, Dai-Jie Wu, Xiaobing Dai, Sihua Zhang, Stefan Sosnowski, Shao-Hua Sun, Sandra Hirche
2025	—	`conf`	Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models. L4DC Tzu-Yuan Huang, Armin Lederer, Nicolas Hoischen, Jan Brüdigam, Xuehua Xiao, Stefan Sosnowski, Sandra Hirche
2024	C	`conf`	Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control Under Switching Topologies. ACC Zewen Yang, Songbo Dong, Armin Lederer, Xiaobing Dai, Siyu Chen, Stefan Sosnowski, Georges Hattab, Sandra Hirche
2024	J	`jnl`	Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies. CoRR Zewen Yang, Songbo Dong, Armin Lederer, Xiaobing Dai, Siyu Chen, Stefan Sosnowski, Georges Hattab, Sandra Hirche
2024	A	`conf`	Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes. IROS Samuel Tesfazgi, Markus Keßler, Emilio Trigili, Armin Lederer, Sandra Hirche
2024	J	`jnl`	Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes. CoRR Samuel Tesfazgi, Markus Kessler, Emilio Trigili, Armin Lederer, Sandra Hirche
2024	—	`conf`	Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States. ECC Robert Lefringhausen, Supitsana Srithasan, Armin Lederer, Sandra Hirche
2024	J	`jnl`	Safe Barrier-Constrained Control of Uncertain Systems via Event-triggered Learning. CoRR Armin Lederer, Azra Begzadic, Sandra Hirche, Jorge Cortés, Sylvia L. Herbert
2024	J	`jnl`	Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes. CoRR Samuel Tesfazgi, Leonhard Sprandl, Armin Lederer, Sandra Hirche
2024	J	`jnl`	Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models. CoRR Tzu-Yuan Huang, Armin Lederer, Nicolas Hoischen, Jan Brüdigam, Xuehua Xiao, Stefan Sosnowski, Sandra Hirche
2023	—	`conf`	Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. L4DC Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche
2023	J	`jnl`	Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. CoRR Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche
2023	J	`jnl`	Cooperative Control of Uncertain Multiagent Systems via Distributed Gaussian Processes. IEEE Trans. Autom. Control. Armin Lederer, Zewen Yang, Junjie Jiao, Sandra Hirche
2023	J	`jnl`	Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors. CoRR Armin Lederer, Jonas Umlauft, Sandra Hirche
2023	A*	`conf`	Koopman Kernel Regression. NeurIPS Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche
2023	J	`jnl`	Koopman Kernel Regression. CoRR Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche
2023	J	`jnl`	Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States. CoRR Robert Lefringhausen, Supitsana Srithasan, Armin Lederer, Sandra Hirche
2023	J	`jnl`	Rigid Motion Gaussian Processes With SE(3) Kernel and Application to Visual Pursuit Control. IEEE Control. Syst. Lett. Marco Omainska, Junya Yamauchi, Armin Lederer, Sandra Hirche, Masayuki Fujita
2023	—	`conf`	Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. CDC Armin Lederer, Erfaun Noorani, John S. Baras, Sandra Hirche
2023	J	`jnl`	Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. CoRR Armin Lederer, Erfaun Noorani, John S. Baras, Sandra Hirche
2023	J	`jnl`	Vision-Based Uncertainty-Aware Motion Planning Based on Probabilistic Semantic Segmentation. IEEE Robotics Autom. Lett. Ralf Römer, Armin Lederer, Samuel Tesfazgi, Sandra Hirche
2022	—	`conf`	Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes. ECC Alejandro Jose Ordóñez Conejo, Armin Lederer, Sandra Hirche
2022	J	`jnl`	Diffeomorphically Learning Stable Koopman Operators. IEEE Control. Syst. Lett. Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche
2022	A*	`conf`	Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. ICML Alexandre Capone, Armin Lederer, Sandra Hirche
2022	—	`conf`	Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes. CCTA Armin Lederer, Mingmin Zhang, Samuel Tesfazgi, Sandra Hirche
2022	J	`jnl`	Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes. CoRR Armin Lederer, Mingmin Zhang, Samuel Tesfazgi, Sandra Hirche
2022	J	`jnl`	Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions. CoRR Armin Lederer, Azra Begzadic, Neha Das, Sandra Hirche
2022	—	`conf`	Safe Reinforcement Learning via Confidence-Based Filters. CDC Sebastian Curi, Armin Lederer, Sandra Hirche, Andreas Krause
2022	J	`jnl`	Safe Reinforcement Learning via Confidence-Based Filters. CoRR Sebastian Curi, Armin Lederer, Sandra Hirche, Andreas Krause
2022	J	`jnl`	Uncertainty-Aware Visual Perception for Safe Motion Planning. CoRR Ralf Römer, Armin Lederer, Samuel Tesfazgi, Sandra Hirche
2021	J	`jnl`	Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes. CoRR Alejandro Jose Ordóñez Conejo, Armin Lederer, Sandra Hirche
2021	J	`jnl`	Data Selection for Multi-Task Learning Under Dynamic Constraints. IEEE Control. Syst. Lett. Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche
2021	—	`conf`	Distributed Bayesian Online Learning for Cooperative Manipulation. CDC Pablo Budde gen. Dohmann, Armin Lederer, Marcel Dißemond, Sandra Hirche
2021	J	`jnl`	Distributed Bayesian Online Learning for Cooperative Manipulation. CoRR Pablo Budde gen. Dohmann, Armin Lederer, Marcel Dißemond, Sandra Hirche
2021	—	`conf`	Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes. CDC Zewen Yang, Stefan Sosnowski, Qingchen Liu, Junjie Jiao, Armin Lederer, Sandra Hirche
2021	J	`jnl`	Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes. CoRR Zewen Yang, Stefan Sosnowski, Qingchen Liu, Junjie Jiao, Armin Lederer, Sandra Hirche
2021	J	`jnl`	Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. CoRR Alexandre Capone, Armin Lederer, Sandra Hirche
2021	A*	`conf`	Gaussian Process-Based Real-Time Learning for Safety Critical Applications. ICML Armin Lederer, Alejandro Jose Ordóñez Conejo, Korbinian Maier, Wenxin Xiao, Jonas Umlauft, Sandra Hirche
2021	J	`jnl`	How Training Data Impacts Performance in Learning-Based Control. IEEE Control. Syst. Lett. Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche
2021	J	`jnl`	Inverse Reinforcement Learning a Control Lyapunov Approach. CoRR Samuel Tesfazgi, Armin Lederer, Sandra Hirche
2021	—	`conf`	Inverse Reinforcement Learning: A Control Lyapunov Approach. CDC Samuel Tesfazgi, Armin Lederer, Sandra Hirche
2021	J	`jnl`	KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators. CoRR Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche
2021	J	`jnl`	Personalized Rehabilitation Robotics based on Online Learning Control. CoRR Samuel Tesfazgi, Armin Lederer, Johannes F. Kunz, Alejandro Jose Ordóñez Conejo, Sandra Hirche
2021	—	`conf`	The Impact of Data on the Stability of Learning-Based Control. L4DC Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche
2021	J	`jnl`	Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control. CoRR Armin Lederer, Jonas Umlauft, Sandra Hirche
2020	C	`conf`	Confidence Regions for Simulations with Learned Probabilistic Models. ACC Armin Lederer, Qing Hao, Sandra Hirche
2020	J	`jnl`	Data selection for multi-task learning under dynamic constraints. CoRR Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche
2020	J	`jnl`	GP3: A Sampling-based Analysis Framework for Gaussian Processes. CoRR Armin Lederer, Markus Kessler, Sandra Hirche
2020	J	`jnl`	How Training Data Impacts Performance in Learning-based Control. CoRR Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche
2020	J	`jnl`	Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression. CoRR Wenxin Xiao, Armin Lederer, Sandra Hirche
2020	—	`conf`	Localized active learning of Gaussian process state space models. L4DC Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche
2020	J	`jnl`	Localized active learning of Gaussian process state space models. CoRR Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche
2020	—	`conf`	Parameter Optimization for Learning-based Control of Control-Affine Systems. L4DC Armin Lederer, Alexandre Capone, Sandra Hirche
2020	J	`jnl`	Real-Time Regression with Dividing Local Gaussian Processes. CoRR Armin Lederer, Alejandro Jose Ordóñez Conejo, Korbinian Maier, Wenxin Xiao, Sandra Hirche
2020	J	`jnl`	Real-time Uncertainty Decomposition for Online Learning Control. CoRR Jonas Umlauft, Armin Lederer, Thomas Beckers, Sandra Hirche
2020	—	`conf`	Smart Forgetting for Safe Online Learning with Gaussian Processes. L4DC Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche
2020	J	`jnl`	The Value of Data in Learning-Based Control for Training Subset Selection. CoRR Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche
2019	—	`conf`	Local Asymptotic Stability Analysis and Region of Attraction Estimation with Gaussian Processes. CDC Armin Lederer, Sandra Hirche
2019	J	`jnl`	Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves. CoRR Armin Lederer, Jonas Umlauft, Sandra Hirche
2019	A*	`conf`	Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. NeurIPS Armin Lederer, Jonas Umlauft, Sandra Hirche
2019	J	`jnl`	Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. CoRR Armin Lederer, Jonas Umlauft, Sandra Hirche
2017	C	`conf`	Learning stable Gaussian process state space models. ACC Jonas Umlauft, Armin Lederer, Sandra Hirche