Maximilian Xiling Li

16 papers A* 3C 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes.
CoRR
Maximilian Xiling Li, Korbinian Franz Rudolf, Nils Blank, Rudolf Lioutikov
2025 A* conf
Use the Force, Bot! - Force-Aware ProDMP with Event-Based Replanning.
ICRA
Paul Werner Lödige, Maximilian Xiling Li, Rudolf Lioutikov
2024 J jnl
HyperPg - Prototypical Gaussians on the Hypersphere for Interpretable Deep Learning.
CoRR
Maximilian Xiling Li, Korbinian Franz Rudolf, Nils Blank, Rudolf Lioutikov
2024 J jnl
Use the Force, Bot! - Force-Aware ProDMP with Event-Based Replanning.
CoRR
Paul Werner Lödige, Maximilian Xiling Li, Rudolf Lioutikov
2023 A* conf
Curriculum-Based Imitation of Versatile Skills.
ICRA
Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
2023 J jnl
Curriculum-Based Imitation of Versatile Skills.
CoRR
Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
2023 — conf
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies.
Robotics: Science and Systems
Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov
2023 J jnl
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies.
CoRR
Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov
2023 A* conf
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills.
NeurIPS
Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann
2023 J jnl
Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts.
CoRR
Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann
2023 J jnl
To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine Learning.
IEEE Trans. Affect. Comput.
Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Nico Loewe, Michael T. Knierim, Alexander Maedche
2023 J jnl
What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions.
MIS Q.
Mario Nadj, Raphael Rissler, Marc T. P. Adam, Michael T. Knierim, Maximilian Xiling Li, Alexander Maedche, René Riedl
2022 J jnl
Towards a Physiological Computing Infrastructure for Researching Students' Flow in Remote Learning.
Technol. Knowl. Learn.
Maximilian Xiling Li, Mario Nadj, Alexander Maedche, Dirk Ifenthaler, Johannes Wöhler
2020 J jnl
Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning.
Künstliche Intell.
Mario Nadj, Merlin Knaeble, Maximilian Xiling Li, Alexander Maedche
2019 C conf
Flow in Knowledge Work Groups - Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor?
ICIS
Michael T. Knierim, Mario Nadj, Maximilian Xiling Li, Christof Weinhardt
2018 — conf
Got Flow?: Using Machine Learning on Physiological Data to Classify Flow.
CHI Extended Abstracts
Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Michael Thomas Knierim, Alexander Maedche