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Publication search results
found 26 matches
- 2023
- Théo Delemazure, Tom Demeulemeester, Manuel Eberl, Jonas Israel, Patrick Lederer:
Strategyproofness and Proportionality in Party-Approval Multiwinner Elections. AAAI 2023: 5591-5599 - Mike Laszkiewicz, Jonas Ricker, Johannes Lederer, Asja Fischer:
Single-Model Attribution via Final-Layer Inversion. CoRR abs/2306.06210 (2023) - Armin Lederer, Jonas Umlauft, Sandra Hirche:
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors. CoRR abs/2307.04415 (2023) - 2022
- Théo Delemazure, Tom Demeulemeester, Manuel Eberl, Jonas Israel, Patrick Lederer:
The Incompatibility of Strategy-Proofness and Representation in Party-Approval Multi-Winner Elections. Arch. Formal Proofs 2022 (2022) - Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon:
Higher-Order Explanations of Graph Neural Networks via Relevant Walks. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7581-7596 (2022) - Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon:
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective. IEEE Signal Process. Mag. 39(4): 40-58 (2022) - Jonas Lederer, Michael Gastegger, Kristof T. Schütt, Michael Kampffmeyer, Klaus-Robert Müller, Oliver T. Unke:
Automatic Identification of Chemical Moieties. CoRR abs/2203.16205 (2022) - Théo Delemazure, Tom Demeulemeester, Manuel Eberl, Jonas Israel, Patrick Lederer:
Strategyproofness and Proportionality in Party-Approval Multiwinner Elections. CoRR abs/2211.13567 (2022) - 2021
- 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) - 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) - 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 - 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 - 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) - Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon:
Toward Explainable AI for Regression Models. CoRR abs/2112.11407 (2021) - 2020
- 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 - Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche:
Smart Forgetting for Safe Online Learning with Gaussian Processes. L4DC 2020: 160-169 - Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche:
Localized active learning of Gaussian process state space models. CoRR abs/2005.02191 (2020) - Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche:
Data selection for multi-task learning under dynamic constraints. CoRR abs/2005.03270 (2020) - Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche:
How Training Data Impacts Performance in Learning-based Control. CoRR abs/2005.12062 (2020) - Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon:
XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks. CoRR abs/2006.03589 (2020) - Jonas Umlauft, Armin Lederer, Thomas Beckers, Sandra Hirche:
Real-time Uncertainty Decomposition for Online Learning Control. CoRR abs/2010.02613 (2020) - 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
- Armin Lederer, Jonas Umlauft, Sandra Hirche:
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. NeurIPS 2019: 657-667 - Armin Lederer, Jonas Umlauft, Sandra Hirche:
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. CoRR abs/1906.01376 (2019) - Armin Lederer, Jonas Umlauft, Sandra Hirche:
Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves. CoRR abs/1906.01404 (2019) - 2017
- Jonas Umlauft, Armin Lederer, Sandra Hirche:
Learning stable Gaussian process state space models. ACC 2017: 1499-1504
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