ProbLog: A probabilistic Prolog and its application in link discovery L De Raedt, A Kimmig, H Toivonen IJCAI 2007, Proceedings of the 20th international joint conference on …, 2007 | 1034 | 2007 |

Deepproblog: Neural probabilistic logic programming R Manhaeve, S Dumancic, A Kimmig, T Demeester, L De Raedt Advances in neural information processing systems 31, 2018 | 521 | 2018 |

A short introduction to probabilistic soft logic A Kimmig, S Bach, M Broecheler, B Huang, L Getoor Proceedings of the NIPS workshop on probabilistic programming: foundations …, 2012 | 313 | 2012 |

Probabilistic (logic) programming concepts L De Raedt, A Kimmig Machine Learning 100, 5-47, 2015 | 245 | 2015 |

On the implementation of the probabilistic logic programming language ProbLog A Kimmig, B Demoen, L De Raedt, VS Costa, R Rocha Theory and Practice of Logic Programming 11 (2-3), 235-262, 2011 | 212 | 2011 |

Lifted graphical models: a survey A Kimmig, L Mihalkova, L Getoor Machine Learning 99, 1-45, 2015 | 119 | 2015 |

The magic of logical inference in probabilistic programming B Gutmann, I Thon, A Kimmig, M Bruynooghe, L De Raedt Theory and Practice of Logic Programming 11 (4-5), 663-680, 2011 | 101 | 2011 |

Neural probabilistic logic programming in DeepProbLog R Manhaeve, S Dumančić, A Kimmig, T Demeester, L De Raedt Artificial Intelligence 298, 103504, 2021 | 94 | 2021 |

An algebraic Prolog for reasoning about possible worlds A Kimmig, G Van den Broeck, L De Raedt Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 209-214, 2011 | 85 | 2011 |

Algebraic model counting A Kimmig, GV Broeck, L De Raedt arXiv preprint arXiv:1211.4475, 2012 | 84* | 2012 |

Parameter learning in probabilistic databases: A least squares approach B Gutmann, A Kimmig, K Kersting, L De Raedt Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008 | 84 | 2008 |

On the efficient execution of ProbLog programs A Kimmig, V Santos Costa, R Rocha, B Demoen, L De Raedt Logic Programming: 24th International Conference, ICLP 2008 Udine, Italy …, 2008 | 75 | 2008 |

Algebraic model counting A Kimmig, G Van den Broeck, L De Raedt Journal of Applied Logic 22, 46-62, 2017 | 72 | 2017 |

Problog2: Probabilistic logic programming A Dries, A Kimmig, W Meert, J Renkens, G Van den Broeck, J Vlasselaer, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 67 | 2015 |

A flexible framework for probabilistic models of social trust B Huang, A Kimmig, L Getoor, J Golbeck Social Computing, Behavioral-Cultural Modeling and Prediction: 6th …, 2013 | 66 | 2013 |

Neuro-symbolic= neural+ logical+ probabilistic L De Raedt, R Manhaeve, S Dumancic, T Demeester, A Kimmig NeSy'19@ IJCAI, the 14th International Workshop on Neural-Symbolic Learning …, 2019 | 56 | 2019 |

Towards digesting the alphabet-soup of statistical relational learning L De Raedt, B Demoen, D Fierens, B Gutmann, G Janssens, A Kimmig, ... NIPS* 2008 Workshop Probabilistic Programming, Date: 2008/12/13-2008/12/13 …, 2008 | 55 | 2008 |

Compressing probabilistic Prolog programs L De Raedt, K Kersting, A Kimmig, K Revoredo, H Toivonen Machine learning 70, 151-168, 2008 | 53 | 2008 |

Anytime inference in probabilistic logic programs with Tp-compilation J Vlasselaer, G Van den Broeck, A Kimmig, W Meert, L De Raedt Proceedings of 24th International Joint Conference on Artificial …, 2015 | 45 | 2015 |

New liftable classes for first-order probabilistic inference SM Kazemi, A Kimmig, G Van den Broeck, D Poole Advances in Neural Information Processing Systems 29, 2016 | 40 | 2016 |