ORCA
Online Research @ CardiffÂ
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Number of items: 16.
Tsamoura, Efthymia, Gutierrez Basulto, Victor and Kimmig, Angelika
2020.
Beyond the grounding bottleneck: Datalog techniques for inference in probabilistic logic programs.
Presented at: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20),
New York City, NY, USA,
7-12 February 2020.
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Kimmig, Angelika, Memory, Alex, Miller, Renee J. and Getoor, Lise
2019.
A collective, probabilistic approach to schema mapping using diverse noisy evidence.
IEEE Transactions on Knowledge and Data Engineering
31
(8)
, pp. 1426-1439.
10.1109/TKDE.2018.2865785
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| Cerutti, Federico, Kaplan, Lance, Kimmig, Angelika and Sensoy, Murat 2018. Probabilistic logic programming with beta-distributed random variables. Presented at: AAAI-19: 33rd AAAI Conference on Artificial Intelligence, Honolulu, HI, USA, 27 January - 1 February 2019. |
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| Cerutti, Federico, Alzantot, Mustafa, Xing, Tianwei, Harborne, Daniel, Bakdash, Jonathan, Braines, Dave, Chakraborty, Supriyo, Kaplan, Lance, Kimmig, Angelika, Preece, Alun David, Raghavendra, Ramya, Sensoy, Murat and Srivastava, Mani 2018. Learning and reasoning in complex coalition information environments: a critical analysis. Presented at: Fusion 2018: 21st International Conference on Information Fusion, Cambridge, UK, 10-13 July 2018. |
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Manhaeve, Robin, Dumancic, Sebastijan, Kimmig, Angelika, Demeester, Thomas and De Raedt, Luc
2018.
DeepProbLog: Neural probabilistic logic programming.
Presented at: Thirty-second Conference on Neural Information Processing Systems (NIPS 2018),
Montreal, QC, Canada,
2-8 December 2018.
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Dries, Anton, Kimmig, Angelika, Davis, Jesse, Belle, Vaishak and De Raedt, Luc
2017.
Solving probability problems in natural language.
Presented at: 26th International Joint Conference on Artificial Intelligence, IJCAI 2017,
Melbourne, Australia,
19-25 August 2017.
Published in: Sierra, Carles ed.
IJCAI'17: Proceedings of the 26th International Joint Conference on Artificial Intelligence.
AAAI Press,
3981–3987.
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Kimmig, Angelika, Van den Broeck, Guy and De Raedt, Luc
2017.
Algebraic model counting.
Journal of Applied Logic
22
, pp. 46-62.
10.1016/j.jal.2016.11.031
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| Latour, Anna, Babaki, Behrouz, Dries, Anton, Kimmig, Angelika, Broeck, Guy Van den and Nijssen, Siegfried 2017. Combining stochastic constraint optimization and probabilistic programming: From knowledge compilation to constraint solving. Presented at: International Conference on Principles and Practice of Constraint Programming (CP), Melbourne, Australia, 28 August - 1 September 2017. |
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Vlasselaer, Jonas, Van den Broeck, Guy, Kimmig, Angelika, Meert, Wannes and De Raedt, Luc
2016.
TP-Compilation for inference in probabilistic logic programs.
International Journal of Approximate Reasoning
78
, pp. 15-32.
10.1016/j.ijar.2016.06.009
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| Kazemi, Seyed Mehran, Kimmig, Angelika, Broeck, Guy Van den and Poole, David 2016. New liftable classes for first-order probabilistic inference. Presented at: Neural Information Processing Systems, Barcelona, Spain, 5-10 December 2016. |
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| De Raedt, Luc and Kimmig, Angelika 2015. Probabilistic (logic) programming concepts. Machine Learning 100 (1) , pp. 5-47. 10.1007/s10994-015-5494-z |
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| Kimmig, Angelika, Mihalkova, Lilyana and Getoor, Lise 2015. Lifted graphical models: a survey. Machine Learning 99 (1) , pp. 1-45. 10.1007/s10994-014-5443-2 |
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| Cussens, James, de Raedt, Luc, Kimmig, Angelika and Sato, Taisuke 2015. Introduction to the special issue on probability, logic and learning. Theory and Practice of Logic Programming 15 (02) , pp. 145-146. 10.1017/S1471068413000665 |
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| Galbrun, Esther and Kimmig, Angelika 2014. Finding relational redescriptions. Machine Learning 96 (3) , pp. 225-248. 10.1007/s10994-013-5402-3 |
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Moustafa, Walaa Eldin, Kimmig, Angelika, Deshpande, Amol and Getoor, Lise
2014.
Subgraph pattern matching over uncertain graphs with identity linkage uncertainty.
Presented at: IEEE International Conference on Data Engineering,
Chicago, IL, USA,
31 March- 4 April 2014.
2014 IEEE 30th International Conference on Data Engineering.
IEEE,
10.1109/ICDE.2014.6816710
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| Renkens, Joris, Kimmig, Angelika, Broeck, Guy Van den and Raedt, Luc De 2014. Explanation-based approximate weighted model counting for probabilistic logics. Presented at: 28th AAAI Conference on Artificial Intelligence, Quebec, Canada, 27-31 July 2014. AAAIWS'14-13 Proceedings of the 13th AAAI Conference on Statistical Relational AI. AAAI Press, |
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