Maximilian Xiling Li
Open Menu
Close Menu
Bio
Publications
Experience
Publications
Paul Werner Lödige
,
Maximilian Xiling Li
,
Rudolf Lioutikov
(2024).
Use the Force, Bot!--Force-Aware ProDMP with Event-Based Replanning
arXiv preprint arXiv:2409.11144
.
Cite
Denis Blessing
,
Onur Celik
,
Xiaogang Jia
,
Moritz Reuss
,
Maximilian Li
,
Rudolf Lioutikov
,
Gerhard Neumann
(2024).
Information maximizing curriculum: A curriculum-based approach for learning versatile skills
Advances in Neural Information Processing Systems
.
Cite
Maximilian Xiling Li
,
Korbinian Franz Rudolf
,
Nils Blank
,
Rudolf Lioutikov
(2024).
HyperPg--Prototypical Gaussians on the Hypersphere for Interpretable Deep Learning
arXiv preprint arXiv:2410.08925
.
Cite
Mario Nadj
,
Raphael Rissler
,
Marc TP Adam
,
Michael T Knierim
,
Maximilian X Li
,
Alexander Maedche
,
René Riedl
(2023).
WHAT DISRUPTS FLOW IN OFFICE WORK? THE IMPACT OF FREQUENCY AND RELEVANCE OF IT-MEDIATED INTERRUPTIONS.
MIS Quarterly
.
Cite
Moritz Reuss
,
Maximilian Li
,
Xiaogang Jia
,
Rudolf Lioutikov
(2023).
Goal-Conditioned imitation learning using score-based diffusion policies
Robotics: Science and Systems
.
Cite
Maximilian Xiling Li
,
Onur Celik
,
Philipp Becker
,
Denis Blessing
,
Rudolf Lioutikov
,
Gerhard Neumann
(2023).
Curriculum-Based Imitation of Versatile Skills
2023 IEEE International Conference on Robotics and Automation (ICRA)
.
Cite
DOI
Maximilian Xiling Li
,
Mario Nadj
,
Alexander Maedche
,
Dirk Ifenthaler
,
Johannes Wöhler
(2022).
Towards a Physiological Computing Infrastructure for Researching Students’ Flow in Remote Learning: Preliminary Results from a Field Study
Technology, Knowledge and Learning
.
Cite
Raphael Rissler
,
Mario Nadj
,
Maximilian Xiling Li
,
Nico Loewe
,
Michael T Knierim
,
Alexander Maedche
(2020).
To be or not to be in flow at work: physiological classification of flow using machine learning
IEEE transactions on affective computing
.
Cite
Mario Nadj
,
Merlin Knaeble
,
Maximilian Xiling Li
,
Alexander Maedche
(2020).
Power to the oracle? design principles for interactive labeling systems in machine learning
KI-Künstliche Intelligenz
.
Cite
Michael Knierim
,
Mario Nadj
,
Maximilian Li
,
Christof Weinhardt
(2019).
Flow in Knowledge Work Groups--Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor?
Cite
Next »