Thomas Liebig

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 52

Top Venues

University of Bonn (PHD)

Education History

University of Bonn

PHD

Publications

Julian Golembiewski, Marcus Schmidt, Benedikt Terschluse, Thomas Jaitner, Thomas Liebig, Timm Faulwasser
The dynamics of a bicycle on a pump track - first results on modeling and optimal control. Autom. 72 (2) (2024)
Timon Sachweh, Pierre Haritz, Thomas Liebig
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks. CoRR (2024)
Timon Sachweh, Pierre Haritz, Thomas Liebig
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks. IV (2024)
Raphael Fischer, Thomas Liebig, Katharina Morik
Towards more sustainable and trustworthy reporting in machine learning. Data Min. Knowl. Discov. 38 (4) (2024)
Pierre Haritz, David Wanke, Thomas Liebig
Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding. CoRR (2024)
Pierre Haritz, David Wanke, Thomas Liebig
Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding. IV (2024)
Andreas Roth, Thomas Liebig
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks. LoG (2023)
Julian Golembiewski, Marcus Schmidt, Benedikt Terschluse, Thomas Jaitner, Thomas Liebig, Timm Faulwasser
The Dynamics of a Bicycle on a Pump Track - First Results on Modeling and Optimal Control. CoRR (2023)
Andreas Roth, Thomas Liebig
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks. CoRR (2023)
Timon Sachweh, Daniel Boiar, Thomas Liebig
Distributed LSTM-Learning from Differentially Private Label Proportions. CoRR (2023)
Pierre Haritz, Thomas Liebig
Free-Energy Advantage Functions for Policy Transfer to Noisy Environments with Safety Constraints. LWDA (2023)
Andreas Roth, Thomas Liebig
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks. CoRR (2023)
Cedric Sanders, Andreas Roth, Thomas Liebig
Curvature-based Pooling within Graph Neural Networks. CoRR (2023)
Andreas Roth, Thomas Liebig
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks. ACML (2023)
Timon Sachweh, Daniel Boiar, Thomas Liebig
Distributed LSTM-Learning from Differentially Private Label Proportions. ICDM (Workshops) (2022)
Andreas Roth, Thomas Liebig
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks. ICDM (Workshops) (2022)
Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
Conditional sum-product networks: Modular probabilistic circuits via gate functions. Int. J. Approx. Reason. 140 (2022)
Daniel Boiar, Thomas Liebig, Erich Schubert
LOSDD: Leave-Out Support Vector Data Description for Outlier Detection. CoRR (2022)
Andreas Roth, Thomas Liebig
Transforming PageRank into an Infinite-Depth Graph Neural Network. CoRR (2022)
Daniel Boiar, Nils Killich, Lukas Schulte, Victor Hernandez Moreno, Jochen Deuse, Thomas Liebig
Forecasting Algae Growth in Photo-Bioreactors Using Attention LSTMs. SEFM Workshops (2022)
Alexander Becker, Thomas Liebig
Certified Data Removal in Sum-Product Networks. CoRR (2022)
Alexander Becker, Thomas Liebig
Certified Data Removal in Sum-Product Networks. ICKG (2022)
Andreas Roth, Thomas Liebig
Transforming PageRank into an Infinite-Depth Graph Neural Network. ECML/PKDD (2) (2022)
Alexander Becker, Thomas Liebig
Evaluating Machine Unlearning via Epistemic Uncertainty. CoRR (2022)
Andreas Roth, Thomas Liebig
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks. CoRR (2022)
Pierre Haritz, Lukas Pfahler, Thomas Liebig, Helena Kotthaus
Self-Supervised Source Code Annotation from Related Research Papers. ICDM (Workshops) (2021)
Timon Sachweh, Daniel Boiar, Thomas Liebig
Differentially Private Learning from Label Proportions. PKDD/ECML Workshops (1) (2021)
Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. PGM (2020)
Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld
Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction. IEEE Trans. Intell. Transp. Syst. 21 (8) (2020)
Cedric Sanders, Thomas Liebig
Knowledge Discovery on Blockchains: Challenges and Opportunities for Distributed Event Detection Under Constraints. PKDD/ECML Workshops (2020)
Benjamin Sliwa, Thomas Liebig, Tim Vranken, Michael Schreckenberg, Christian Wietfeld
System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic. SysCon (2019)
Sebastian Buschjäger, Thomas Liebig, Katharina Morik
Gaussian Model Trees for Traffic Imputation. ICPRAM (2019)
Benjamin Sliwa, Thomas Liebig, Tim Vranken, Michael Schreckenberg, Christian Wietfeld
System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic. CoRR (2019)
Cedric Sanders, Thomas Liebig
Knowledge Discovery on Blockchains: Challenges and Opportunities. CoRR (2019)
Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. CoRR (2019)
Christian Römer, Johannes Hiry, Chris Kittl, Thomas Liebig, Christian Rehtanz
Charging control of electric vehicles using contextual bandits considering the electrical distribution grid. CoRR (2019)
Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction. CoRR (2019)
Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Johannes Pillmann, Christian Wietfeld
Machine Learning Based Context-Predictive Car-to-Cloud Communication Using Multi-Layer Connectivity Maps for Upcoming 5G Networks. VTC Fall (2018)
Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld
Efficient Machine-type Communication using Multi-metric Context-awareness for Cars used as Mobile Sensors in Upcoming 5G Networks. CoRR (2018)
Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld
Resource-Efficient Transmission of Vehicular Sensor Data Using Context-Aware Communication. MDM (2018)
Matthes Rieke, Lorenzo Bigagli, Stefan Herlé, Simon Jirka, Alexander Kotsev, Thomas Liebig, Christian Malewski, Thomas Paschke, Christoph Stasch
Geospatial IoT - The Need for Event-Driven Architectures in Contemporary Spatial Data Infrastructures. ISPRS Int. J. Geo Inf. 7 (10) (2018)
Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld
Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks. CoRR (2018)
Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld
Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication. CoRR (2018)
Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld
Efficient Machine-Type Communication Using Multi-Metric Context-Awareness for Cars Used as Mobile Sensors in Upcoming 5G Networks. VTC Spring (2018)
Dimitrios Tomaras, Vana Kalogeraki, Thomas Liebig, Dimitrios Gunopulos
Crowd-Based Ecofriendly Trip Planning. MDM (2018)
Thomas Liebig, Maurice Sotzny
On Avoiding Traffic Jams with Dynamic Self-Organizing Trip Planning. COSIT (2017)
Nayabrasul Shaik, Thomas Liebig, Christopher Kirsch, Heinrich Müller
Dynamic Map Update of Non-static Facility Logistics Environment with a Multi-robot System. KI (2017)
Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
Dynamic route planning with real-time traffic predictions. Inf. Syst. 64 (2017)
Lukas Heppe, Thomas Liebig
Real-Time Public Transport Delay Prediction for Situation-Aware Routing. KI (2017)
Thomas Liebig, Sebastian Peter, Maciej Grzenda, Konstanty Junosza-Szaniawski
Dynamic Transfer Patterns for Fast Multi-modal Route Planning. AGILE Conf. (2017)
Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. ECML/PKDD (3) (2016)
Gustavo Souto, Thomas Liebig
On Event Detection from Spatial Time Series for Urban Traffic Applications. Solving Large Scale Learning Tasks (2016)
Thomas Liebig, Marco Stolpe, Katharina Morik
Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI. MUD@ICML (2015)
Thomas Liebig, Sabine Storandt, Peter Sanders, Walied Othman, Stefan Funke
Report from Dagstuhl: SocioPaths - Multimodal Door-to-Door Route Planning via Social Paths. MUD@ICML (2015)
Thomas Liebig
Privacy Preserving Centralized Counting of Moving Objects. AGILE Conf. (2015)
Ioannis Katakis, François Schnitzler, Thomas Liebig
2nd International Workshop on Mining Urban Data (Preface). MUD@ICML (2015)
François Schnitzler, Thomas Liebig, Shie Marmor, Gustavo Souto, Sebastian Bothe, Hendrik Stange
Heterogeneous stream processing for disaster detection and alarming. IEEE BigData (2014)
Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
Route Planning with Real-Time Traffic Predictions. LWA (2014)
François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos
Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. ECML/PKDD (3) (2014)
François Schnitzler, Thomas Liebig, Shie Mannor, Katharina Morik
Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center. EDBT/ICDT Workshops (2014)
Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
Predictive Trip Planning - Smart Routing in Smart Cities. EDBT/ICDT Workshops (2014)
Alexander Artikis, Matthias Weidlich, François Schnitzler, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dimitrios Gunopulos, Dermot Kinane
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. EDBT (2014)
Gennady L. Andrienko, Aris Gkoulalas-Divanis, Marco Gruteser, Christine Kopp, Thomas Liebig, Klaus Rechert
Report from Dagstuhl: the liberation of mobile location data and its implications for privacy research. ACM SIGMOBILE Mob. Comput. Commun. Rev. 17 (2) (2013)
Roberto Rösler, Thomas Liebig
Using Data from Location Based Social Networks for Urban Activity Clustering. AGILE Conf. (2013)
Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel
Pedestrian Quantity Estimation with Trajectory Patterns. ECML/PKDD (2) (2012)
Thomas Liebig, Armel Ulrich Kemloh Wagoum
Modelling Microscopic Pedestrian Mobility using Bluetooth. ICAART (2) (2012)
Thomas Liebig, Zhao Xu, Michael May
Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement. CitiSens (2012)
Natalia V. Andrienko, Gennady L. Andrienko, Hendrik Stange, Thomas Liebig, Dirk Hecker
Visual Analytics for Understanding Spatial Situations from Episodic Movement Data. Künstliche Intell. 26 (3) (2012)
Patrick Utsch, Thomas Liebig
Monitoring Microscopic Pedestrian Mobility Using Bluetooth. Intelligent Environments (2012)
Hendrik Stange, Thomas Liebig, Dirk Hecker, Gennady L. Andrienko, Natalia V. Andrienko
Analytical workflow of monitoring human mobility in big event settings using Bluetooth. ISA (2011)
Lorena Esposito, T. Saam, Peter Heider, Angelina Bockelbrink, Jaroslav Pelisek, D. Sepp, Regina Feurer, Claudia Winkler, Thomas Liebig, Katrin Holzer, Olivier Pauly, Suwad Sadikovic, Bernhard Hemmer, Holger Poppert
MRI plaque imaging reveals high-risk carotid plaques especially in diabetic patients irrespective of the degree of stenosis. BMC Medical Imaging 10 (2010)
Thomas Liebig, Christine Körner, Michael May
Fast Visual Trajectory Analysis Using Spatial Bayesian Networks. ICDM Workshops (2009)
Thomas Liebig, Christine Körner, Michael May
Scalable Sparse Bayesian Network Learning for Spatial Applications. ICDM Workshops (2008)
Torsten Rohlfing, Jürgen Beier, Jay B. West, Ulrich-Wilhelm Thomale, Thomas Liebig, Christian A. Taschner
Registrierung und Fusion von funktionellen und anatomischen MRT-Daten: Quantitative Genauigkeitsanalyse und Anwendung in der navigierten Neurochirurgie. Bildverarbeitung für die Medizin (2000)
Torsten Rohlfing, Jürgen Beier, Jay B. West, Ulrich-Wilhelm Thomale, Thomas Liebig, Christian A. Taschner
Automated Registration and Fusion of Functional and Anatomical MRI for Navigated Neurosurgery. MICCAI (1999)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thomas Liebig