Guy Van den Broeck
Guy Van den Broeck
Associate Professor and Samueli Fellow, UCLA
Verified email at - Homepage
Cited by
Cited by
A semantic loss function for deep learning with symbolic knowledge
J Xu, Z Zhang, T Friedman, Y Liang, G Van den Broeck
ICML, 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
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
Probabilistic sentential decision diagrams
D Kisa, G Van den Broeck, A Choi, A Darwiche
Fourteenth International Conference on the Principles of Knowledge …, 2014
Probabilistic inference in hybrid domains by weighted model integration
V Belle, A Passerini, G Van den Broeck, Q Yang, M Wooldridge
Proceedings of 24th International Joint Conference on Artificial …, 2015
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
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
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
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
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
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
Inducing probabilistic relational rules from probabilistic examples
L De Raedt, A Dries, I Thon, G Van den Broeck, M Verbeke, Q Yang, ...
Proceedings of 24th international joint conference on artificial …, 2015
Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference
M Niepert, G Van den Broeck
AAAI Conference on Artificial Intelligence, 2014
An algebraic Prolog for reasoning about possible worlds
A Kimmig, G Van den Broeck, L De Raedt
AAAI Conference on Artificial Intelligence., 2011
On the Complexity and Approximation of Binary Evidence in Lifted Inference
G Van den Broeck, A Darwiche
Advances in Neural Information Processing Systems 26 (NIPS), 2013
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
Algebraic model counting
A Kimmig, G Van den Broeck, L De Raedt
Journal of Applied Logic 22, 46-62, 2017
Lifted Inference and Learning in Statistical Relational Models
G Van den Broeck
KU Leuven, 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
Open-World Probabilistic Databases.
II Ceylan, A Darwiche, G Van den Broeck
15th International Conference on Principles of Knowledge Representation and …, 2016
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