Ingo Thon

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 11

Top Venues

HCI (52)

ECML/PKDD (6)

CoRR

KDD

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. KDD (2024)
Alexander Koebler, Christian Greisinger, Jan Paulus, Ingo Thon, Florian Buettner
Through the Eyes of the Expert: Aligning Human and Machine Attention for Industrial AI. HCI (52) (2024)
Felippe Schmoeller Roza, Simon Hadwiger, Ingo Thon, Karsten Roscher
Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents. SafeAI@AAAI (2023)
Sai Rahul Kaminwar, Jann Goschenhofer, Janek Thomas, Ingo Thon, Bernd Bischl
Structured Verification of Machine Learning Models in Industrial Settings. Big Data 11 (3) (2023)
Chih-Hong Cheng, Nguyen Anh Vu Doan, Balahari Balu, Franziska Schwaiger, Emmanouil Seferis, Simon Burton, Yassine Qamsane, Ankit Shukla, Yinchong Yang, Zhiliang Wu, Andreas Hapfelmeier, Ingo Thon
Facilitating Change Implementation for Continuous ML-Safety Assurance. CoRR (2022)
Alexander Koebler, Ralf Gross, Florian Buettner, Ingo Thon
Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting. ECML/PKDD (6) (2022)
Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp
A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context. ESWC (2019)
Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler
Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems. ECML/PKDD (3) (2018)
Martin Ringsquandl, Steffen Lamparter, Ingo Thon, Raffaello Lepratti, Peer Kröger
Knowledge Graph Constraints for Multi-label Graph Classification. ICDM Workshops (2016)
Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
Inference and learning in probabilistic logic programs using weighted Boolean formulas. Theory Pract. Log. Program. 15 (3) (2015)
Luc De Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, Mathias Verbeke
Inducing Probabilistic Relational Rules from Probabilistic Examples. IJCAI (2015)
Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
Inference and learning in probabilistic logic programs using weighted Boolean formulas CoRR (2013)
Jan Stadermann, Stephan Symons, Ingo Thon
Extracting hierarchical data points and tables from scanned contracts. UIMA@GSCL (2013)
Bogdan Moldovan, Ingo Thon, Jesse Davis, Luc De Raedt
MCMC Estimation of Conditional Probabilities in Probabilistic Programming Languages. ECSQARU (2013)
Davide Nitti, Tinne De Laet, McElory Hoffmann, Ingo Thon, Guy Van den Broeck, Luc De Raedt
A Particle Filter for Probabilistic Dynamic Relational Domains. StarAI@UAI (2012)
Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
Inference in Probabilistic Logic Programs using Weighted CNF's CoRR (2012)
Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt
The Magic of Logical Inference in Probabilistic Programming CoRR (2011)
Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
Inference in Probabilistic Logic Programs using Weighted CNF's. UAI (2011)
Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt
The magic of logical inference in probabilistic programming. Theory Pract. Log. Program. 11 (4-5) (2011)
Bernd Gutmann, Ingo Thon, Luc De Raedt
Learning the Parameters of Probabilistic Logic Programs from Interpretations. ECML/PKDD (1) (2011)
Ingo Thon, Niels Landwehr, Luc De Raedt
Stochastic relational processes: Efficient inference and applications. Mach. Learn. 82 (2) (2011)
Luc De Raedt, Ingo Thon
Probabilistic Rule Learning. ILP (2010)
Ingo Thon, Bernd Gutmann, Guy Van den Broeck
Probabilistic Programming for Planning Problems. Statistical Relational Artificial Intelligence (2010)
Guy Van den Broeck, Ingo Thon, Martijn van Otterlo, Luc De Raedt
DTProbLog: A Decision-Theoretic Probabilistic Prolog. AAAI (2010)
Ingo Thon
Don't Fear Optimality: Sampling for Probabilistic-Logic Sequence Models. ILP (2009)
Ingo Thon, Niels Landwehr, Luc De Raedt
A Simple Model for Sequences of Relational State Descriptions. ECML/PKDD (2) (2008)
Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose
Relational Transformation-based Tagging for Activity Recognition. Fundam. Informaticae 89 (1) (2008)

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Publication Activity (10 Years)

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Ingo Thon