Ingo Thon

According to our database, Ingo Thon authored at least 23 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Structured Verification of Machine Learning Models in Industrial Settings.

Sai Rahul Kaminwar, Jann Goschenhofer, Janek Thomas, Ingo Thon, Bernd Bischl

Big Data, June, 2023

Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents.

Felippe Schmoeller Roza, Simon Hadwiger, Ingo Thon, Karsten Roscher

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

Facilitating Change Implementation for Continuous ML-Safety Assurance.

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

CoRR, 2022

Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting.

Alexander Koebler, Ralf Gross, Florian Buettner, Ingo Thon

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2019

A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context.

Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp

Proceedings of the Semantic Web - 16th International Conference, 2019

2018

Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems.

Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2016

Knowledge Graph Constraints for Multi-label Graph Classification.

Martin Ringsquandl, Steffen Lamparter, Ingo Thon, Raffaello Lepratti, Peer Kröger

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Inference and learning in probabilistic logic programs using weighted Boolean formulas.

Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt

Theory Pract. Log. Program., 2015

Inducing Probabilistic Relational Rules from Probabilistic Examples.

Luc De Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, Mathias Verbeke

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2013

Extracting hierarchical data points and tables from scanned contracts.

Jan Stadermann, Stephan Symons, Ingo Thon

Proceedings of the 3rd Workshop on Unstructured Information Management Architecture, 2013

MCMC Estimation of Conditional Probabilities in Probabilistic Programming Languages.

Bogdan Moldovan, Ingo Thon, Jesse Davis, Luc De Raedt

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

2012

A Particle Filter for Probabilistic Dynamic Relational Domains.

Davide Nitti, Tinne De Laet, McElory Hoffmann, Ingo Thon, Guy Van den Broeck, Luc De Raedt

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

2011

Stochastic Relational Processes and Models: Learning and Reasoning (Stochastisch relationele processen en modellen: leren en redeneren).

Ingo Thon

PhD thesis, 2011

The magic of logical inference in probabilistic programming.

Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt

Theory Pract. Log. Program., 2011

Stochastic relational processes: Efficient inference and applications.

Ingo Thon, Niels Landwehr, Luc De Raedt

Mach. Learn., 2011

Inference in Probabilistic Logic Programs using Weighted CNF's.

Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt

Proceedings of the UAI 2011, 2011

Learning the Parameters of Probabilistic Logic Programs from Interpretations.

Bernd Gutmann, Ingo Thon, Luc De Raedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Probabilistic Rule Learning.

Luc De Raedt, Ingo Thon

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Probabilistic Programming for Planning Problems.

Ingo Thon, Bernd Gutmann, Guy Van den Broeck

Proceedings of the Statistical Relational Artificial Intelligence, 2010

DTProbLog: A Decision-Theoretic Probabilistic Prolog.

Guy Van den Broeck, Ingo Thon, Martijn van Otterlo, Luc De Raedt

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Don't Fear Optimality: Sampling for Probabilistic-Logic Sequence Models.

Ingo Thon

Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

2008

Relational Transformation-based Tagging for Activity Recognition.

Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose

Fundam. Informaticae, 2008

A Simple Model for Sequences of Relational State Descriptions.

Ingo Thon, Niels Landwehr, Luc De Raedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008