Robert Lieck

16 papers A* 1B 2Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
MusicFlower: A Web App and Python Framework for Interactive Music Visualisation.
Audio Mostly Conference
Robert Lieck
2024 J jnl
Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation.
CoRR
Francis Xiatian Zhang, Jingjing Deng, Robert Lieck, Hubert P. H. Shum
2024 — conf
Fully-Automated Patient-Agnostic Diabetes Management with Deep Reinforcement Learning.
BIBM
Thomas Milton, Robert Lieck
2024 J jnl
Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens.
CoRR
Joseph Clinton, Robert Lieck
2021 B conf
Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games.
CogSci
Robert Lieck, Leona Wall, Martin A. Rohrmeier
2021 A* conf
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks.
NeurIPS
Robert Lieck, Martin Rohrmeier
2021 J jnl
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks.
CoRR
Robert Lieck, Martin Rohrmeier
2020 — conf
AutoScale: Automatic and Dynamic Scale Selection for Live Jazz Improvisation.
NIME
Thibault Jaccard, Robert Lieck, Martin Rohrmeier
2020 — conf
Modelling Hierarchical Key Structure With Pitch Scapes.
ISMIR
Robert Lieck, Martin Rohrmeier
2020 J jnl
The Tonal Diffusion Model.
Trans. Int. Soc. Music. Inf. Retr.
Robert Lieck, Fabian C. Moss, Martin Rohrmeier
2018 — —
Learning structured models for active planning: beyond the Markov paradigm towards adaptable abstractions.
Robert Lieck
2017 — conf
Feature Discovery for Sequential Prediction of Monophonic Music.
ISMIR
Jonas Langhabel, Robert Lieck, Marc Toussaint, Martin Rohrmeier
2017 J jnl
Towards Moral Autonomous Systems.
CoRR
Vicky Charisi, Louise A. Dennis, Michael Fisher, Robert Lieck, Andreas Matthias, Marija Slavkovik, Janina Sombetzki, Alan F. T. Winfield, Roman Yampolskiy
2016 J jnl
Temporally extended features in model-based reinforcement learning with partial observability.
Neurocomputing
Robert Lieck, Marc Toussaint
2015 B conf
Discovering temporally extended features for reinforcement learning in domains with delayed causalities.
ESANN
Robert Lieck, Marc Toussaint
2014 J jnl
Active Learning of Hyperparameters: An Expected Cross Entropy Criterion for Active Model Selection.
CoRR
Johannes Kulick, Robert Lieck, Marc Toussaint