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Yang, Zewen and Dai, Xiaobing and Dubey, Akshat and Hirche, Sandra, Hattab, Georges
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression
2024

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Zewen Yang
Pri-GP: Prior-Aware Distributed Gaussian Process Regression
2023

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P. Bevanda; J. Kirmayr; S. Sosnowski; S. Hirche
Learning the Koopman Eigendecomposition: A Diffeomorphic Approach
2022 American Control Conference (ACC)
IEEE
2022

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P. Bevanda, M. Beier, A. Lederer, S. Sosnowski, E. Hüllermeier, S. Hirche
Koopman Kernel Regression
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
2023

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Xiaobing Dai, Huanzhuo Wu, Siyi Wang, Junjie Jiao, Giang T Nguyen, Frank HP Fitzek, Sandra Hirche
Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing
2023

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

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Omainska, Marco;Yamauchi, Junya;Lederer, Armin;Hirche, Sandra;Fujita, Masayuki
Rigid Motion Gaussian Processes With SE(3) Kernel and Application to Visual Pursuit Control
IEEE Control Systems Letters
2023
7
2665-2670

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Römer, Ralf;Lederer, Armin;Tesfazgi, Samuel;Hirche, Sandra
Vision-Based Uncertainty-Aware Motion Planning Based on Probabilistic Semantic Segmentation
IEEE Robotics and Automation Letters
2023
8
11
7825-7832

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Rusiti, Damir;Evangelisti, Giulio;Oliveira, Tiago Roux;Gerdts, Matthias;Krstic, Miroslav
Stochastic Extremum Seeking for Dynamic Maps With Delays
IEEE Control Systems Letters
2019
3
1
61-66

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Cazenave, Lucille;Einenkel, Martin;Yurkewich, Aaron;Endo, Satoshi;Hirche, Sandra;Burdet, Etienne
Hybrid robotic and electrical stimulation assistance can enhance performance and reduce mental demand
IEEE Transactions on Neural Systems and Rehabilitation Engineering
2023
1-1