Got Flow?: Using Machine Learning on Physiological Data to Classify Flow. - Raphael Rissler; Mario Nadj; Maximilian Xiling Li; Michael Thomas Knierim; Alexander Maedche (CHI Extended Abstracts, 2018)

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 (ICIS, 2019)

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)

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)

Curriculum-Based Imitation of Versatile Skills. - Maximilian Xiling Li; Onur Celik; Philipp Becker; Denis Blessing; Rudolf Lioutikov; Gerhard Neumann (ICRA, 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 (NeurIPS, 2023)

Goal-Conditioned Imitation Learning using Score-based Diffusion Policies. - Moritz Reuss; Maximilian Xiling Li; Xiaogang Jia; Rudolf Lioutikov (Robotics: Science and Systems, 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)

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)

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)

Use the Force, Bot! - Force-Aware ProDMP with Event-Based Replanning. - Paul Werner Lödige; Maximilian Xiling Li; Rudolf Lioutikov (CoRR, 2024)

HyperPg - Prototypical Gaussians on the Hypersphere for Interpretable Deep Learning. - Maximilian Xiling Li; Korbinian Franz Rudolf; Nils Blank; Rudolf Lioutikov (CoRR, 2024)

Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes. - Maximilian Xiling Li; Korbinian Franz Rudolf; Nils Blank; Rudolf Lioutikov (CoRR, 2025)