Lieck, R. & M. Rohrmeier (2021a). “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]
Sharma, G. B., S. K. Saevarsson, S. Amiri, S. Montgomery, H. Ramm, D. 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 & Joint Research 1.10.
[PDF]
Lieck, R. & M. Rohrmeier (2021b). “Recursive Bayesian Networks: Generalising
and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian
Networks”. In: Advances in Neural Information Processing Systems 34: Annual
Conference on Neural Information Processing Systems 2021. 35th Conference
on Neural Information Processing Systems (NeurIPS 2021).
[PDF]
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]
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]
Thibault Jaccard, 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]
Landsnes, K., L. Mehrabyan, V. Wiklund, R. Lieck, F. C. Moss & 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).
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]
Lieck, R. (2018). “Learning Structured Models for Active Planning: Beyond
the Markov Paradigm Towards Adaptable Abstractions”. PhD thesis. Universität
Stuttgart.
[PDF]
Lieck, R., D. Harasim & M. Rohrmeier (2018a). “Learning Structured Models
of Musical Syntax”. European Music Research Conference (Barcelona, Spain).
[PDF]
Lieck, R., D. Harasim & M. Rohrmeier (2018b). “Towards a Unified Model
for Harmony and Voice-Leading”. 19th International Society for Music Information
Retrieval Conference (ISMIR) (Paris, France).
[PDF]
Lieck, R. (2014). “Temporally Extended Features: Modeling Delayed Causalities
in Reinforcement Learning” (AISTATS (MLSS poster session)).
[PDF]