Journal Papers

Lieck, R. & M. Rohrmeier (2021). “Discretisation and Continuity: The Emergence of Symbols in Communication”. In: Cognition 215.
[PDF]

Lieck, R., F. C. Moss & M. Rohrmeier (2020). “The Tonal Diffusion Model”. In: Transactions of the International Society for Music Information Retrieval 3.1 (1).
[PDF]

Wall, L., R. Lieck, M. Neuwirth & M. Rohrmeier (2020). “The Impact of Voice Leading and Harmony on Musical Expectancy”. In: Scientific Reports 10.1 (1).
[PDF]

Lieck, R. & M. Toussaint (2016). “Temporally Extended Features in Model-Based Reinforcement Learning with Partial Observability”. In: Neurocomputing 192.
[PDF]

Saevarsson, S. K., G. B. Sharma, H. Ramm, R. Lieck, C. R. Hutchison, J. Werle, S. Matthiasdottir, S. J. Montgomery, C. I. Romeo, S. Zachow & C. Anglin (2013). “Kinematic Differences Between Gender Specific and Traditional Knee Implants”. In: The Journal of Arthroplasty 28.9.
[PDF]

Ho, K. C. T., S. K. Saevarsson, H. Ramm, R. Lieck, S. Zachow, G. B. Sharma, E. L. Rex, S. Amiri, B. C. Y. Wu, A. Leumann & C. Anglin (2012). “Computed Tomography Analysis of Knee Pose and Geometry before and after Total Knee Arthroplasty”. In: Journal of Biomechanics 45.13.
[PDF]

Saevarsson, S., G. Sharma, S. Amiri, S. Montgomery, H. Ramm, D. Lichti, R. Lieck, S. Zachow & C. Anglin (2012). “Radiological Method for Measuring Patellofemoral Tracking and Tibiofemoral Kinematics before and after Total Knee Replacement”. In: Bone and Joint Research 1.10.

Conference Papers

Lieck, R., L. Wall & M. A. Rohrmeier (2021). “Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games”. In: Proceedings of the Annual Meeting of the Cognitive Science Society. Cogsci 2021. Vol. 43.
[PDF]

Jaccard, T., R. Lieck & M. Rohrmeier (2020). “AutoScale: Automatic and Dynamic Scale Selection for Live Jazz Improvisation”. In: International Conference on New Interfaces for Musical Expression.
[PDF]

Lieck, R. & M. Rohrmeier (2020). “Modelling Hierarchical Key Structure With Pitch Scapes”. In: Proceedings of the 21st International Society for Music Information Retrieval Conference.
[PDF]

Landsnes, K., L. Mehrabyan, V. Wiklund, F. C. Moss, R. Lieck & M. Rohrmeier (2019). “A Model Comparison for Chord Prediction on the Annotated Beethoven Corpus”. In: Proceedings of the 16th Sound & Music Computing Conference. 16th Sound & Music Computing Conference.
[PDF]

Langhabel, J., R. Lieck, M. Toussaint & M. Rohrmeier (2017). “Feature Discovery for Sequential Prediction of Monophonic Music”. In: Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR).
[PDF]

Lieck, R. & M. Toussaint (2015). “Discovering Temporally Extended Features for Reinforcement Learning in Domains with Delayed Causalities”. In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Presses universitaires de Louvain.
[PDF]

Saevarsson, S., G. Sharma, S. Montgomery, K. Ho, H. Ramm, R. Lieck, S. Zachow, C. Hutchison, J. Werle & C. Anglin (2012). “Kinematic Comparison Between Gender Specific and Traditional Femoral Implants”. In: 67th Canadian Orthopaedic Association (COA) Annual Meeting.

Sharma, G., K. Ho, S. Saevarsson, H. Ramm, R. Lieck, S. Zachow & C. Anglin (2012). “Knee Pose and Geometry Pre- and Post-Total Knee Arthroplasty Using Computed Tomography”. In: 58th Annual Meeting of the Orthopaedic Research Society (ORS).

Saevarsson, S., G. B. Sharma, S. J. Montgomery, K. Ho, H. Ramm, R. Lieck, S. Zachow & C. Anglin (2011). “Kinematic Comparison Between Gender Specific and Traditional Femoral Implants”. In: Proceedings of the 11th Alberta Biomedical Engineering (BME) Conference (Poster).

Workshop Contributions & Technical Reports

Dennis, L. A., A. A. Tubella, R. Chatila, H. Duijf, A. Dyoub, K. I. Eder, J. F. Horty, M. Köhl, R. Lieck & M. P. Singh (2019). “How Do We Build Practical Systems Involving Ethics and Trust?” In: Dagstuhl Reports 9.4. Ed. by M. Fisher, C. List, M. Slavkovik & A. Weiss.
[PDF]

Charisi, V., L. Dennis, M. Fisher, R. Lieck, A. Matthias, M. Slavkovik, J. Sombetzki, A. F. Winfield & R. Yampolskiy (2017). Towards Moral Autonomous Systems.
[PDF]

Lieck, R., V. Ngo & M. Toussaint (2017). “Exploiting Variance Information in Monte-Carlo Tree Search”. In: ICAPS Workshop on Heuristics and Search for Domain-Independent Planning.
[PDF]

Lieck, R. & M. Toussaint (2017). “Active Tree Search”. In: ICAPS Workshop on Planning, Search, and Optimization.
[PDF]

Kulick, J., R. Lieck & M. Toussaint (2016). “Cross-Entropy as a Criterion for Robust Interactive Learning of Latent Properties”. In: NIPS Workshop on the Future of Interactive Learning Machines.
[PDF]

Kulick, J., R. Lieck & M. Toussaint (2015). The Advantage of Cross Entropy over Entropy in Iterative Information Gathering. arXiv 1409.7552. University of Stuttgart.
[PDF]

Kulick, J., R. Lieck & M. Toussaint (2014). Active Learning of Hyperparameters: An Expected Cross Entropy Criterion for Active Model Selection. arXiv.
[PDF]

PhD Thesis

Lieck, R. (2018). “Learning Structured Models for Active Planning: Beyond the Markov Paradigm Towards Adaptable Abstractions”. PhD thesis. Universität Stuttgart.
[PDF]

Other

Lieck, R., D. Harasim & M. Rohrmeier (2018a). “Learning Structured Models of Musical Syntax”.
[PDF]

Lieck, R., D. Harasim & M. Rohrmeier (2018b). “Towards a Unified Model for Harmony and Voice-Leading”.
[PDF]

Lieck, R. (2014). “Temporally Extended Features: Modeling Delayed Causalities in Reinforcement Learning”.
[PDF]