Ingo Thon

36 papers A* 4A 2B 3C 1Journal 14Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting.
CoRR
Alexander Koebler, Ralf Gross, Florian Buettner, Ingo Thon
2025 A conf
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention.
AISTATS
Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner
2025 J jnl
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention.
CoRR
Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner
2025 J jnl
LVLM-Aided Alignment of Task-Specific Vision Models.
CoRR
Alexander Koebler, Lukas Kuhn, Ingo Thon, Florian Buettner
2025 J jnl
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model.
CoRR
Alexander Koebler, Ingo Thon, Florian Buettner
2024 A* conf
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance.
KDD
Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner
2024 J jnl
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance.
CoRR
Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner
2024 A* conf
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model.
ICDM
Alexander Koebler, Ingo Thon, Florian Buettner
2024 — conf
Through the Eyes of the Expert: Aligning Human and Machine Attention for Industrial AI.
HCI (52)
Alexander Koebler, Christian Greisinger, Jan Paulus, Ingo Thon, Florian Buettner
2023 J jnl
Structured Verification of Machine Learning Models in Industrial Settings.
Big Data
Sai Rahul Kaminwar, Jann Goschenhofer, Janek Thomas, Ingo Thon, Bernd Bischl
2023 — conf
Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents.
SafeAI@AAAI
Felippe Schmoeller Roza, Simon Hadwiger, Ingo Thon, Karsten Roscher
2022 J jnl
Facilitating Change Implementation for Continuous ML-Safety Assurance.
CoRR
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
2022 — conf
Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting.
ECML/PKDD (6)
Alexander Koebler, Ralf Gross, Florian Buettner, Ingo Thon
2019 B conf
A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context.
ESWC
Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp
2018 — conf
Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems.
ECML/PKDD (3)
Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler
2016 — conf
Knowledge Graph Constraints for Multi-label Graph Classification.
ICDM Workshops
Martin Ringsquandl, Steffen Lamparter, Ingo Thon, Raffaello Lepratti, Peer Kröger
2015 A* conf
Inducing Probabilistic Relational Rules from Probabilistic Examples.
IJCAI
Luc De Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, Mathias Verbeke
2015 J jnl
Inference and learning in probabilistic logic programs using weighted Boolean formulas.
Theory Pract. Log. Program.
Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
2013 — conf
Extracting hierarchical data points and tables from scanned contracts.
UIMA@GSCL
Jan Stadermann, Stephan Symons, Ingo Thon
2013 J jnl
Inference and learning in probabilistic logic programs using weighted Boolean formulas
CoRR
Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
2013 C conf
MCMC Estimation of Conditional Probabilities in Probabilistic Programming Languages.
ECSQARU
Bogdan Moldovan, Ingo Thon, Jesse Davis, Luc De Raedt
2012 — conf
A Particle Filter for Probabilistic Dynamic Relational Domains.
StarAI@UAI
Davide Nitti, Tinne De Laet, McElory Hoffmann, Ingo Thon, Guy Van den Broeck, Luc De Raedt
2012 J jnl
Inference in Probabilistic Logic Programs using Weighted CNF's
CoRR
Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
2011 A conf
Inference in Probabilistic Logic Programs using Weighted CNF's.
UAI
Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
2011 — conf
Learning the Parameters of Probabilistic Logic Programs from Interpretations.
ECML/PKDD (1)
Bernd Gutmann, Ingo Thon, Luc De Raedt
2011 — —
Stochastic Relational Processes and Models: Learning and Reasoning (Stochastisch relationele processen en modellen: leren en redeneren).
Ingo Thon
2011 J jnl
Stochastic relational processes: Efficient inference and applications.
Mach. Learn.
Ingo Thon, Niels Landwehr, Luc De Raedt
2011 J jnl
The Magic of Logical Inference in Probabilistic Programming
CoRR
Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt
2011 J jnl
The magic of logical inference in probabilistic programming.
Theory Pract. Log. Program.
Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt
2010 A* conf
DTProbLog: A Decision-Theoretic Probabilistic Prolog.
AAAI
Guy Van den Broeck, Ingo Thon, Martijn van Otterlo, Luc De Raedt
2010 — conf
Probabilistic Programming for Planning Problems.
StarAI@AAAI
Ingo Thon, Bernd Gutmann, Guy Van den Broeck
2010 B conf
Probabilistic Rule Learning.
ILP
Luc De Raedt, Ingo Thon
2009 — conf
An Exercise with Statistical Relational Learning Systems.
MLG/SRL@ILP
Maurice Bruynooghe, Daan Fierens, Bernd Gutmann, Angelika Kimmig, Niels Landwehr, Wannes Meert, Ingo Thon, Luc De Raedt
2009 B conf
Don't Fear Optimality: Sampling for Probabilistic-Logic Sequence Models.
ILP
Ingo Thon
2008 — conf
A Simple Model for Sequences of Relational State Descriptions.
ECML/PKDD (2)
Ingo Thon, Niels Landwehr, Luc De Raedt
2008 J jnl
Relational Transformation-based Tagging for Activity Recognition.
Fundam. Informaticae
Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose