Ingo Thon

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 abs/1304.6810 (2013)

Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt: Inference in Probabilistic Logic Programs using Weighted CNF's. CoRR abs/1202.3719 (2012)

Ingo Thon, Niels Landwehr, Luc De Raedt: Stochastic relational processes: Efficient inference and applications. Machine Learning 82(2): 239-272 (2011)

Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt: The magic of logical inference in probabilistic programming. TPLP 11(4-5): 663-680 (2011)

Bernd Gutmann, Ingo Thon, Luc De Raedt: Learning the Parameters of Probabilistic Logic Programs from Interpretations. ECML/PKDD (1) 2011: 581-596

Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt: Inference in Probabilistic Logic Programs using Weighted CNF's. UAI 2011: 211-220

Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt: The Magic of Logical Inference in Probabilistic Programming. CoRR abs/1107.5152 (2011)

Guy Van den Broeck, Ingo Thon, Martijn van Otterlo, Luc De Raedt: DTProbLog: A Decision-Theoretic Probabilistic Prolog. AAAI 2010

Ingo Thon, Bernd Gutmann, Guy Van den Broeck: Probabilistic Programming for Planning Problems. Statistical Relational Artificial Intelligence 2010

Luc De Raedt, Ingo Thon: Probabilistic Rule Learning. ILP 2010: 47-58

Ingo Thon: Don't Fear Optimality: Sampling for Probabilistic-Logic Sequence Models. ILP 2009: 226-233

Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose: Relational Transformation-based Tagging for Activity Recognition. Fundam. Inform. 89(1): 111-129 (2008)

Ingo Thon, Niels Landwehr, Luc De Raedt: A Simple Model for Sequences of Relational State Descriptions. ECML/PKDD (2) 2008: 506-521