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ORCIDMaximilian Xiling Li
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- affiliation: Karlsruhe Institute of Technology, Karlsruhe, Germany
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2020 – today
- 2024
[i4]Paul Werner Lödige, Maximilian Xiling Li, Rudolf Lioutikov:
Use the Force, Bot! - Force-Aware ProDMP with Event-Based Replanning. CoRR abs/2409.11144 (2024)- 2023
- [j4]Mario Nadj
, Raphael Rissler, Marc T. P. Adam, Michael T. Knierim, Maximilian Xiling Li, Alexander Maedche, René Riedl:
What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions. MIS Q. 47(4): 1615-1646 (2023) - [j3]Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Nico Loewe, Michael T. Knierim, Alexander Maedche:
To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine Learning. IEEE Trans. Affect. Comput. 14(1): 463-474 (2023) - [c5]Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann:
Curriculum-Based Imitation of Versatile Skills. ICRA 2023: 2951-2957 - [c4]Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann:
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills. NeurIPS 2023 - [c3]Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov:
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies. Robotics: Science and Systems 2023 - [i3]Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann:
Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts. CoRR abs/2303.15349 (2023) - [i2]Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov:
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies. CoRR abs/2304.02532 (2023) - [i1]Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann:
Curriculum-Based Imitation of Versatile Skills. CoRR abs/2304.05171 (2023) - 2022
- [j2]Maximilian Xiling Li, Mario Nadj, Alexander Maedche, Dirk Ifenthaler, Johannes Wöhler:
Towards a Physiological Computing Infrastructure for Researching Students' Flow in Remote Learning. Technol. Knowl. Learn. 27(2): 365-384 (2022) - 2020
- [j1]Mario Nadj, Merlin Knaeble, Maximilian Xiling Li, Alexander Maedche:
Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning. Künstliche Intell. 34(2): 131-142 (2020)
2010 – 2019
- 2019
- [c2]Michael T. Knierim, Mario Nadj, Maximilian Xiling Li, Christof Weinhardt:
Flow in Knowledge Work Groups - Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor? ICIS 2019 - 2018
- [c1]Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Michael Thomas Knierim, Alexander Maedche:
Got Flow?: Using Machine Learning on Physiological Data to Classify Flow. CHI Extended Abstracts 2018
Coauthor Index
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