متابعة
Guy Van den Broeck
Guy Van den Broeck
Professor and Samueli Fellow, UCLA
بريد إلكتروني تم التحقق منه على cs.ucla.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
A semantic loss function for deep learning with symbolic knowledge‏
J Xu, Z Zhang, T Friedman, Y Liang, G Van den Broeck‏
ICML, 2018‏
5952018
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
4592013
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
2882022
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
2392011
Probabilistic Sentential Decision Diagrams.‏
D Kisa, G Van den Broeck, A Choi, A Darwiche‏
KR, 2014‏
2142014
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
1322015
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
1262020
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
1262013
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
1202020
On the paradox of learning to reason from data‏
H Zhang, LH Li, T Meng, KW Chang, G Van den Broeck‏
IJCAI, 2022‏
1172022
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
1142011
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
1122017
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
1092009
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
1052022
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
1012015
Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference‏
M Niepert, G Van den Broeck‏
AAAI Conference on Artificial Intelligence, 2014‏
972014
An algebraic Prolog for reasoning about possible worlds‏
A Kimmig, G Van den Broeck, L De Raedt‏
AAAI Conference on Artificial Intelligence., 2011‏
942011
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
942010
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مقالات 1–20