Guy Van den Broeck
Guy Van den Broeck
Associate Professor and Samueli Fellow, UCLA
Verified email at cs.ucla.edu - Homepage
Title
Cited by
Cited by
Year
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
2312013
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
1692011
A semantic loss function for deep learning with symbolic knowledge
J Xu, Z Zhang, T Friedman, Y Liang, G Van den Broeck
ICML, 2018
832018
On the completeness of first-order knowledge compilation for lifted probabilistic inference
G Van den Broeck
Annual Conference on Neural Information Processing Systems (NIPS), 2011
82*2011
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
772011
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
772009
Probabilistic sentential decision diagrams
D Kisa, G Van den Broeck, A Choi, A Darwiche
Proceedings of the 14th international conference on principles of knowledge …, 2014
732014
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
722013
Probabilistic inference in hybrid domains by weighted model integration
V Belle, A Passerini, G Van den Broeck
Proceedings of 24th International Joint Conference on Artificial …, 2015
692015
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
622013
Lifted Inference and Learning in Statistical Relational Models
G Van den Broeck
KU Leuven, 2013
592013
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
592010
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
522015
Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference
M Niepert, G Van den Broeck
AAAI Conference on Artificial Intelligence, 2014
512014
Hashing-based approximate probabilistic inference in hybrid domains
V Belle, G Van den Broeck, A Passerini
Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence …, 2015
482015
Tractable learning for structured probability spaces: A case study in learning preference distributions
A Choi, G Van den Broeck, A Darwiche
Proceedings of 24th International Joint Conference on Artificial …, 2015
452015
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
422017
An algebraic Prolog for reasoning about possible worlds
A Kimmig, G Van den Broeck, L De Raedt
AAAI Conference on Artificial Intelligence., 2011
422011
Liftability of probabilistic inference: Upper and lower bounds
M Jaeger, G Van den Broeck
Proceedings of the 2nd international workshop on statistical relational AI, 2012
41*2012
Tractable learning for complex probability queries
J Bekker, J Davis, A Choi, A Darwiche, G Van den Broeck
Advances in Neural Information Processing Systems, 2242-2250, 2015
392015
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