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ORCIDJonas Umlauft
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Journal Articles
- 2021
[j6]Armin Lederer
, Alexandre Capone, Jonas Umlauft, Sandra Hirche:
How Training Data Impacts Performance in Learning-Based Control. IEEE Control. Syst. Lett. 5(3): 905-910 (2021)- [j5]Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche:
Data Selection for Multi-Task Learning Under Dynamic Constraints. IEEE Control. Syst. Lett. 5(3): 959-964 (2021) - 2020
- [j4]Jonas Umlauft, Sandra Hirche:
Learning stochastically stable Gaussian process state-space models. IFAC J. Syst. Control. 12: 100079 (2020) - [j3]Jonas Umlauft, Sandra Hirche:
Feedback Linearization Based on Gaussian Processes With Event-Triggered Online Learning. IEEE Trans. Autom. Control. 65(10): 4154-4169 (2020) - 2019
- [j2]Jonas Umlauft, Lukas Pöhler, Sandra Hirche:
Correction to "An Uncertainty-Based Control Lyapunov Approach for Control-Affine Systems Modeled by Gaussian Process". IEEE Control. Syst. Lett. 3(3): 493 (2019) - 2018
- [j1]Jonas Umlauft, Lukas Pöhler, Sandra Hirche:
An Uncertainty-Based Control Lyapunov Approach for Control-Affine Systems Modeled by Gaussian Process. IEEE Control. Syst. Lett. 2(3): 483-488 (2018)
Conference and Workshop Papers
- 2021
- [c14]Armin Lederer, Alejandro Jose Ordóñez Conejo, Korbinian Maier, Wenxin Xiao, Jonas Umlauft, Sandra Hirche:
Gaussian Process-Based Real-Time Learning for Safety Critical Applications. ICML 2021: 6055-6064 - [c13]Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche:
The Impact of Data on the Stability of Learning-Based Control. L4DC 2021: 623-635 - 2020
- [c12]Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche:
Smart Forgetting for Safe Online Learning with Gaussian Processes. L4DC 2020: 160-169 - [c11]Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche:
Localized active learning of Gaussian process state space models. L4DC 2020: 490-499 - 2019
- [c10]Armin Lederer, Jonas Umlauft, Sandra Hirche:
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. NeurIPS 2019: 657-667 - 2018
- [c9]Thomas Beckers, Jonas Umlauft, Sandra Hirche:
Mean Square Prediction Error of Misspecified Gaussian Process Models. CDC 2018: 1162-1167 - [c8]Jonas Umlauft, Thomas Beckers, Sandra Hirche:
Scenario-based Optimal Control for Gaussian Process State Space Models. ECC 2018: 1386-1392 - 2017
- [c7]Jonas Umlauft, Armin Lederer, Sandra Hirche:
Learning stable Gaussian process state space models. ACC 2017: 1499-1504 - [c6]Thomas Beckers, Jonas Umlauft, Dana Kulic, Sandra Hirche:
Stable Gaussian process based tracking control of Lagrangian systems. CDC 2017: 5180-5185 - [c5]Jonas Umlauft, Thomas Beckers, Melanie Kimmel, Sandra Hirche:
Feedback linearization using Gaussian processes. CDC 2017: 5249-5255 - [c4]Jonas Umlauft, Sandra Hirche:
Learning Stable Stochastic Nonlinear Dynamical Systems. ICML 2017: 3502-3510 - [c3]Jonas Umlauft, Yunis Fanger, Sandra Hirche:
Bayesian uncertainty modeling for programming by demonstration. ICRA 2017: 6428-6434 - 2016
- [c2]Yunis Fanger, Jonas Umlauft, Sandra Hirche:
Gaussian processes for dynamic movement primitives with application in knowledge-based cooperation. IROS 2016: 3913-3919 - 2014
- [c1]Jonas Umlauft, Dominik Sieber, Sandra Hirche:
Dynamic Movement Primitives for cooperative manipulation and synchronized motions. ICRA 2014: 766-771
Informal and Other Publications
- 2023
- [i13]Armin Lederer, Jonas Umlauft, Sandra Hirche:
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors. CoRR abs/2307.04415 (2023) - 2021
- [i12]Armin Lederer, Jonas Umlauft, Sandra Hirche:
Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control. CoRR abs/2101.05328 (2021) - 2020
- [i11]Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche:
Localized active learning of Gaussian process state space models. CoRR abs/2005.02191 (2020) - [i10]Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche:
Data selection for multi-task learning under dynamic constraints. CoRR abs/2005.03270 (2020) - [i9]Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche:
How Training Data Impacts Performance in Learning-based Control. CoRR abs/2005.12062 (2020) - [i8]Jonas Umlauft, Armin Lederer, Thomas Beckers, Sandra Hirche:
Real-time Uncertainty Decomposition for Online Learning Control. CoRR abs/2010.02613 (2020) - [i7]Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche:
The Value of Data in Learning-Based Control for Training Subset Selection. CoRR abs/2011.10596 (2020) - 2019
- [i6]Armin Lederer, Jonas Umlauft, Sandra Hirche:
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. CoRR abs/1906.01376 (2019) - [i5]Armin Lederer, Jonas Umlauft, Sandra Hirche:
Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves. CoRR abs/1906.01404 (2019) - [i4]Jonas Umlauft, Sandra Hirche:
Feedback Linearization based on Gaussian Processes with event-triggered Online Learning. CoRR abs/1911.06565 (2019) - 2018
- [i3]Thomas Beckers, Jonas Umlauft, Sandra Hirche:
Mean Square Prediction Error of Misspecified Gaussian Process Models. CoRR abs/1811.06642 (2018) - [i2]Thomas Beckers, Jonas Umlauft, Sandra Hirche:
Stable Model-based Control with Gaussian Process Regression for Robot Manipulators. CoRR abs/1811.06655 (2018) - [i1]Thomas Beckers, Jonas Umlauft, Dana Kulic, Sandra Hirche:
Stable Gaussian Process based Tracking Control of Lagrangian Systems. CoRR abs/1811.07711 (2018)
Coauthor Index
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