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ORCIDThomas Liebig
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- affiliation: TU Dortmund University - Artificial Intelligence Unit
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2020 – today
- 2024
[j9]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): 134-142 (2024)- [j8]Raphael Fischer, Thomas Liebig, Katharina Morik:
Towards more sustainable and trustworthy reporting in machine learning. Data Min. Knowl. Discov. 38(4): 1909-1928 (2024) - [c48]Timon Sachweh, Pierre Haritz, Thomas Liebig:
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks. IV 2024: 1686-1692 - [c47]Pierre Haritz, David Wanke, Thomas Liebig:
Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding. IV 2024: 1758-1763 - [c46]Raphael Fischer, Marcel Wever, Sebastian Buschjäger, Thomas Liebig:
MetaQuRe: Meta-learning from Model Quality and Resource Consumption. ECML/PKDD (7) 2024: 209-226 - [i23]Pierre Haritz, David Wanke, Thomas Liebig:
Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding. CoRR abs/2407.04343 (2024) - [i22]Timon Sachweh, Pierre Haritz, Thomas Liebig:
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks. CoRR abs/2407.04481 (2024) - [i21]Matthias Jakobs, Thomas Liebig:
AALF: Almost Always Linear Forecasting. CoRR abs/2409.10142 (2024) - [i20]Andreas Roth, Franka Bause, Nils M. Kriege, Thomas Liebig:
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph. CoRR abs/2409.11504 (2024) - [i19]Hendrik Krone, Pierre Haritz, Thomas Liebig:
ICE-T: A Multi-Faceted Concept for Teaching Machine Learning. CoRR abs/2411.05424 (2024) - 2023
- [c45]Andreas Roth, Thomas Liebig:
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks. ACML 2023: 1151-1166 - [c44]Andreas Roth, Thomas Liebig:
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks. LoG 2023: 35 - [c43]Pierre Haritz, Thomas Liebig:
Free-Energy Advantage Functions for Policy Transfer to Noisy Environments with Safety Constraints. LWDA 2023: 414-423 - [c42]Cedric Sanders, Andreas Roth, Thomas Liebig:
Curvature-Based Pooling Within Graph Neural Networks. PKDD/ECML Workshops (3) 2023: 471-485 - [i18]Timon Sachweh, Daniel Boiar, Thomas Liebig:
Distributed LSTM-Learning from Differentially Private Label Proportions. CoRR abs/2301.07101 (2023) - [i17]Cedric Sanders, Andreas Roth, Thomas Liebig:
Curvature-based Pooling within Graph Neural Networks. CoRR abs/2308.16516 (2023) - [i16]Andreas Roth, Thomas Liebig:
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks. CoRR abs/2308.16800 (2023) - [i15]Andreas Roth, Thomas Liebig:
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks. CoRR abs/2310.00946 (2023) - [i14]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 abs/2311.07251 (2023) - 2022
- [j7]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: 298-313 (2022) - [c41]Alexander Becker, Thomas Liebig:
Certified Data Removal in Sum-Product Networks. ICKG 2022: 14-21 - [c40]Andreas Roth, Thomas Liebig:
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks. ICDM (Workshops) 2022: 740-747 - [c39]Timon Sachweh, Daniel Boiar, Thomas Liebig:
Distributed LSTM-Learning from Differentially Private Label Proportions. ICDM (Workshops) 2022: 1071-1078 - [c38]Andreas Roth, Thomas Liebig:
Transforming PageRank into an Infinite-Depth Graph Neural Network. ECML/PKDD (2) 2022: 469-484 - [c37]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: 26-37 - [p1]Thomas Liebig:
Inner-City Traffic Flow Prediction with Sparse Sensors. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 225-240 - [i13]Andreas Roth, Thomas Liebig:
Transforming PageRank into an Infinite-Depth Graph Neural Network. CoRR abs/2207.00684 (2022) - [i12]Alexander Becker, Thomas Liebig:
Evaluating Machine Unlearning via Epistemic Uncertainty. CoRR abs/2208.10836 (2022) - [i11]Alexander Becker, Thomas Liebig:
Certified Data Removal in Sum-Product Networks. CoRR abs/2210.01451 (2022) - [i10]Andreas Roth, Thomas Liebig:
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks. CoRR abs/2211.11596 (2022) - [i9]Daniel Boiar, Thomas Liebig, Erich Schubert:
LOSDD: Leave-Out Support Vector Data Description for Outlier Detection. CoRR abs/2212.13626 (2022) - 2021
- [c36]Pierre Haritz, Lukas Pfahler, Thomas Liebig, Helena Kotthaus:
Self-Supervised Source Code Annotation from Related Research Papers. ICDM (Workshops) 2021: 1083-1084 - [c35]Timon Sachweh, Daniel Boiar, Thomas Liebig:
Differentially Private Learning from Label Proportions. PKDD/ECML Workshops (1) 2021: 119-127 - 2020
- [j6]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): 3497-3512 (2020) - [c34]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: 401-412 - [c33]Cedric Sanders, Thomas Liebig:
Knowledge Discovery on Blockchains: Challenges and Opportunities for Distributed Event Detection Under Constraints. PKDD/ECML Workshops 2020: 113-128
2010 – 2019
- 2019
- [c32]Sebastian Buschjäger, Thomas Liebig, Katharina Morik:
Gaussian Model Trees for Traffic Imputation. ICPRAM 2019: 243-254 - [c31]Benjamin Sliwa, Thomas Liebig, Tim Vranken, Michael Schreckenberg, Christian Wietfeld:
System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic. SysCon 2019: 1-8 - [i8]Benjamin Sliwa, Thomas Liebig, Tim Vranken, Michael Schreckenberg, Christian Wietfeld:
System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic. CoRR abs/1901.03025 (2019) - [i7]Cedric Sanders, Thomas Liebig:
Knowledge Discovery on Blockchains: Challenges and Opportunities. CoRR abs/1904.07104 (2019) - [i6]Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld:
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction. CoRR abs/1904.10186 (2019) - [i5]Christian Römer, Johannes Hiry, Chris Kittl, Thomas Liebig, Christian Rehtanz:
Charging control of electric vehicles using contextual bandits considering the electrical distribution grid. CoRR abs/1905.01163 (2019) - [i4]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 abs/1905.08550 (2019) - 2018
- [j5]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): 385 (2018) - [c30]Dimitrios Tomaras, Vana Kalogeraki, Thomas Liebig, Dimitrios Gunopulos:
Crowd-Based Ecofriendly Trip Planning. MDM 2018: 24-33 - [c29]Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld:
Resource-Efficient Transmission of Vehicular Sensor Data Using Context-Aware Communication. MDM 2018: 282-283 - [c28]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: 1-7 - [c27]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: 1-6 - [i3]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 abs/1801.03290 (2018) - [i2]Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld:
Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication. CoRR abs/1804.05533 (2018) - [i1]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 abs/1805.06603 (2018) - 2017
- [j4]Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik:
Dynamic route planning with real-time traffic predictions. Inf. Syst. 64: 258-265 (2017) - [c26]Thomas Liebig, Sebastian Peter, Maciej Grzenda, Konstanty Junosza-Szaniawski:
Dynamic Transfer Patterns for Fast Multi-modal Route Planning. AGILE Conf. 2017: 223-236 - [c25]Thomas Liebig, Maurice Sotzny:
On Avoiding Traffic Jams with Dynamic Self-Organizing Trip Planning. COSIT 2017: 17:1-17:12 - [c24]Lukas Heppe, Thomas Liebig:
Real-Time Public Transport Delay Prediction for Situation-Aware Routing. KI 2017: 128-141 - [c23]Nayabrasul Shaik, Thomas Liebig, Christopher Kirsch, Heinrich Müller:
Dynamic Map Update of Non-static Facility Logistics Environment with a Multi-robot System. KI 2017: 249-261 - 2016
- [c22]Gustavo Souto, Thomas Liebig:
On Event Detection from Spatial Time Series for Urban Traffic Applications. Solving Large Scale Learning Tasks 2016: 221-233 - [c21]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: 22-26 - 2015
- [c20]Thomas Liebig:
Privacy Preserving Centralized Counting of Moving Objects. AGILE Conf. 2015: 91-103 - [c19]Ioannis Katakis, François Schnitzler, Thomas Liebig:
2nd International Workshop on Mining Urban Data (Preface). MUD@ICML 2015: 7-9 - [c18]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: 36-43 - [c17]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: 90-94 - [e1]Ioannis Katakis, François Schnitzler, Thomas Liebig, Dimitrios Gunopulos, Katharina Morik, Gennady L. Andrienko, Shie Mannor:
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), Lille, France, July 11th, 2015. CEUR Workshop Proceedings 1392, CEUR-WS.org 2015 [contents] - 2014
- [c16]François Schnitzler, Thomas Liebig, Shie Marmor, Gustavo Souto, Sebastian Bothe, Hendrik Stange:
Heterogeneous stream processing for disaster detection and alarming. IEEE BigData 2014: 914-923 - [c15]Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik:
Predictive Trip Planning - Smart Routing in Smart Cities. EDBT/ICDT Workshops 2014: 331-338 - [c14]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: 373-374 - [c13]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: 712-723 - [c12]Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik:
Route Planning with Real-Time Traffic Predictions. LWA 2014: 83-94 - [c11]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: 520-523 - 2013
- [b1]Thomas Liebig:
Pedestrian Mobility Mining with Movement Patterns. University of Bonn, 2013 - [j3]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): 7-18 (2013) - [c10]Roberto Rösler, Thomas Liebig:
Using Data from Location Based Social Networks for Urban Activity Clustering. AGILE Conf. 2013: 55-72 - 2012
- [j2]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): 241-251 (2012) - [c9]Thomas Liebig, Zhao Xu, Michael May:
Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement. CitiSens 2012: 67-80 - [c8]Thomas Liebig, Armel Ulrich Kemloh Wagoum:
Modelling Microscopic Pedestrian Mobility using Bluetooth. ICAART (2) 2012: 270-275 - [c7]Patrick Utsch, Thomas Liebig:
Monitoring Microscopic Pedestrian Mobility Using Bluetooth. Intelligent Environments 2012: 173-177 - [c6]Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel:
Pedestrian Quantity Estimation with Trajectory Patterns. ECML/PKDD (2) 2012: 629-643 - 2011
- [c5]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: 51-58 - 2010
- [j1]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: 27 (2010)
2000 – 2009
- 2009
- [c4]Thomas Liebig, Christine Körner, Michael May:
Fast Visual Trajectory Analysis Using Spatial Bayesian Networks. ICDM Workshops 2009: 668-673 - 2008
- [c3]Thomas Liebig, Christine Körner, Michael May:
Scalable Sparse Bayesian Network Learning for Spatial Applications. ICDM Workshops 2008: 420-425 - 2000
- [c2]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: 13-17
1990 – 1999
- 1999
- [c1]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: 945-952
Coauthor Index
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