| A semantic loss function for deep learning with symbolic knowledge J Xu, Z Zhang, T Friedman, Y Liang, G Van den Broeck ICML, 2018 | 596 | 2018 |
| Inference and learning in probabilistic logic programs using weighted Boolean formulas D Fierens, G Van den Broeck, J Renkens, D Shterionov, B Gutmann, ... Theory and Practice of Logic Programming, 2013 | 459 | 2013 |
| On the tractability of SHAP explanations G Van den Broeck, A Lykov, M Schleich, D Suciu Journal of Artificial Intelligence Research 74, 851-886, 2022 | 288 | 2022 |
| Lifted probabilistic inference by first-order knowledge compilation G Van den Broeck, N Taghipour, W Meert, J Davis, L De Raedt International Joint Conference on Artificial Intelligence (IJCAI), 2011 | 239 | 2011 |
| Probabilistic Sentential Decision Diagrams. D Kisa, G Van den Broeck, A Choi, A Darwiche KR, 2014 | 214 | 2014 |
| Probabilistic inference in hybrid domains by weighted model integration V Belle, A Passerini, G Van den Broeck Proceedings of the Twenty-Fourth International Joint Conference on …, 2015 | 132 | 2015 |
| On the completeness of first-order knowledge compilation for lifted probabilistic inference G Van den Broeck Annual Conference on Neural Information Processing Systems (NeurIPS), 2011 | 127* | 2011 |
| Probabilistic circuits: A unifying framework for tractable probabilistic models Y Choi, A Vergari, G Van den Broeck UCLA. URL: http://starai. cs. ucla. edu/papers/ProbCirc20. pdf, 6, 2020 | 126 | 2020 |
| Skolemization for Weighted First-Order Model Counting G Van den Broeck, W Meert, A Darwiche Proceedings of the 14th International Conference on Principles of Knowledge …, 2013 | 126 | 2013 |
| Scaling exact inference for discrete probabilistic programs S Holtzen, G Van den Broeck, T Millstein Proceedings of the ACM on Programming Languages 4 (OOPSLA), 1-31, 2020 | 120 | 2020 |
| On the paradox of learning to reason from data H Zhang, LH Li, T Meng, KW Chang, G Van den Broeck IJCAI, 2022 | 117 | 2022 |
| Inference in probabilistic logic programs using weighted CNF's D Fierens, G Van den Broeck, I Thon, B Gutmann, L De Raedt Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence …, 2011 | 114 | 2011 |
| Learning the structure of probabilistic sentential decision diagrams Y Liang, J Bekker, G Van den Broeck Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence …, 2017 | 112 | 2017 |
| Algebraic model counting A Kimmig, G Van den Broeck, L De Raedt Journal of Applied Logic 22, 46-62, 2017 | 111* | 2017 |
| Monte-Carlo tree search in poker using expected reward distributions G Van den Broeck, K Driessens, J Ramon Advances in Machine Learning, 367-381, 2009 | 109 | 2009 |
| Semantic probabilistic layers for neuro-symbolic learning K Ahmed, S Teso, KW Chang, G Van den Broeck, A Vergari Advances in Neural Information Processing Systems 35, 29944-29959, 2022 | 106 | 2022 |
| Inducing probabilistic relational rules from probabilistic examples L De Raedt, A Dries, I Thon, G Van den Broeck, M Verbeke Proceedings of 24th international joint conference on artificial …, 2015 | 101 | 2015 |
| Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference M Niepert, G Van den Broeck AAAI Conference on Artificial Intelligence, 2014 | 97 | 2014 |
| An algebraic Prolog for reasoning about possible worlds A Kimmig, G Van den Broeck, L De Raedt AAAI Conference on Artificial Intelligence., 2011 | 94 | 2011 |
| DTProbLog: A decision-theoretic probabilistic Prolog G Van den Broeck, I Thon, M van Otterlo, L De Raedt AAAI conference on artificial intelligence (AAAI 2010), 2010 | 94 | 2010 |
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityEmail confirmado em cs.kuleuven.be
Yitao LiangPeking UniversityEmail confirmado em pku.edu.cn
Wannes MeertDTAI, KU LeuvenEmail confirmado em cs.kuleuven.beAntonio VergariReader (Associate Professor), University of Edinburgh, UKEmail confirmado em ed.ac.uk
YooJung ChoiAssistant Professor, Arizona State UniversityEmail confirmado em asu.edu
Anji LiuPh.D. Student of Computer Science, UCLAEmail confirmado em cs.ucla.edu
Dan SuciuUniversity of WashingtonEmail confirmado em cs.washington.edu
Kareem AhmedPostdoctoral Researcher at UC IrvineEmail confirmado em cs.ucla.edu
Arthur ChoiKennesaw State UniversityEmail confirmado em kennesaw.edu
Todd MillsteinProfessor of Computer Science, UCLAEmail confirmado em cs.ucla.edu
Tal FriedmanPhD Student, UCLAEmail confirmado em cs.ucla.edu
Steven HoltzenNortheastern UniversityEmail confirmado em northeastern.edu
Kai-Wei ChangAssociate Professor, UCLAEmail confirmado em kwchang.net
Mathias NiepertUniversity of Stuttgart & NEC Labs EuropeEmail confirmado em ki.uni-stuttgart.de
Zhe ZengNew York UniversityEmail confirmado em nyu.edu
Jonas VlasselaerAI Expert at DeltaRayEmail confirmado em deltaray.eu
