Maximilian Xiling Li

According to our database, Maximilian Xiling Li authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

HyperPg - Prototypical Gaussians on the Hypersphere for Interpretable Deep Learning.

Maximilian Xiling Li, Korbinian Franz Rudolf, Nils Blank, Rudolf Lioutikov

CoRR, 2024

Use the Force, Bot! - Force-Aware ProDMP with Event-Based Replanning.

Paul Werner Lödige, Maximilian Xiling Li, Rudolf Lioutikov

CoRR, 2024

2023

To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine Learning.

Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Nico Loewe, Michael T. Knierim, Alexander Maedche

IEEE Trans. Affect. Comput., 2023

What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions.

Mario Nadj, Raphael Rissler, Marc T. P. Adam, Michael T. Knierim, Maximilian Xiling Li, Alexander Maedche, René Riedl

MIS Q., 2023

Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts.

Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann

CoRR, 2023

Goal-Conditioned Imitation Learning using Score-based Diffusion Policies.

Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills.

Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Curriculum-Based Imitation of Versatile Skills.

Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Towards a Physiological Computing Infrastructure for Researching Students' Flow in Remote Learning.

Maximilian Xiling Li, Mario Nadj, Alexander Maedche, Dirk Ifenthaler, Johannes Wöhler

Technol. Knowl. Learn., 2022

2020

Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning.

Mario Nadj, Merlin Knaeble, Maximilian Xiling Li, Alexander Maedche

Künstliche Intell., 2020

2019

Flow in Knowledge Work Groups - Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor?

Michael T. Knierim, Mario Nadj, Maximilian Xiling Li, Christof Weinhardt

Proceedings of the 40th International Conference on Information Systems, 2019

2018

Got Flow?: Using Machine Learning on Physiological Data to Classify Flow.

Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Michael Thomas Knierim, Alexander Maedche

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018