Articles with public access mandates - Angelika KimmigLearn more
Not available anywhere: 1
Uncertainty-aware situational understanding
R Tomsett, L Kaplan, F Cerutti, P Sullivan, D Vente, MR Vilamala, ...
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019
Mandates: US Department of Defense
Available somewhere: 47
Deepproblog: Neural probabilistic logic programming
R Manhaeve, S Dumancic, A Kimmig, T Demeester, L De Raedt
Advances in neural information processing systems 31, 2018
Mandates: Research Foundation (Flanders)
Probabilistic (logic) programming concepts
L De Raedt, A Kimmig
Machine Learning 100, 5-47, 2015
Mandates: Research Foundation (Flanders)
On the implementation of the probabilistic logic programming language ProbLog
A Kimmig, B Demoen, L De Raedt, VS Costa, R Rocha
Theory and Practice of Logic Programming 11 (2-3), 235-262, 2011
Mandates: Research Foundation (Flanders)
Neural probabilistic logic programming in DeepProbLog
R Manhaeve, S Dumančić, A Kimmig, T Demeester, L De Raedt
Artificial Intelligence 298, 103504, 2021
Mandates: Research Foundation (Flanders), European Commission
The magic of logical inference in probabilistic programming
B Gutmann, I Thon, A Kimmig, M Bruynooghe, L De Raedt
Theory and Practice of Logic Programming 11 (4-5), 663-680, 2011
Mandates: Research Foundation (Flanders)
Algebraic model counting
A Kimmig, GV Broeck, L De Raedt
arXiv preprint arXiv:1211.4475, 2012
Mandates: Research Foundation (Flanders)
Parameter learning in probabilistic databases: A least squares approach
B Gutmann, A Kimmig, K Kersting, L De Raedt
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
Mandates: Research Foundation (Flanders), Fraunhofer-Gesellschaft
An algebraic Prolog for reasoning about possible worlds
A Kimmig, G Van den Broeck, L De Raedt
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 209-214, 2011
Mandates: Research Foundation (Flanders)
On the efficient execution of ProbLog programs
A Kimmig, V Santos Costa, R Rocha, B Demoen, L De Raedt
Logic Programming: 24th International Conference, ICLP 2008 Udine, Italy …, 2008
Mandates: Research Foundation (Flanders)
Anytime inference in probabilistic logic programs with Tp-compilation
J Vlasselaer, G Van den Broeck, A Kimmig, W Meert, L De Raedt
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Mandates: Research Foundation (Flanders)
New liftable classes for first-order probabilistic inference
SM Kazemi, A Kimmig, G Van den Broeck, D Poole
Advances in Neural Information Processing Systems 29, 2016
Mandates: US National Science Foundation, Research Foundation (Flanders)
Subgraph pattern matching over uncertain graphs with identity linkage uncertainty
WE Moustafa, A Kimmig, A Deshpande, L Getoor
2014 IEEE 30th International Conference on Data Engineering, 904-915, 2014
Mandates: Research Foundation (Flanders)
A collective, probabilistic approach to schema mapping
A Kimmig, A Memory, R Miller, L Getoor
Data Engineering (ICDE), 2017 IEEE 33rd International Conference on, 921-932, 2017
Mandates: US National Science Foundation, Research Foundation (Flanders), Natural …
Tp-compilation for inference in probabilistic logic programs
J Vlasselaer, G Van den Broeck, A Kimmig, W Meert, L De Raedt
International Journal of Approximate Reasoning 78, 15-32, 2016
Mandates: Research Foundation (Flanders)
Problog technology for inference in a probabilistic first order logic
M Bruynooghe, T Mantadelis, A Kimmig, B Gutmann, J Vennekens, ...
ECAI 2010, 719-724, 2010
Mandates: Research Foundation (Flanders)
Probabilistic explanation based learning
A Kimmig, L De Raedt, H Toivonen
Machine Learning: ECML 2007: 18th European Conference on Machine Learning …, 2007
Mandates: Research Foundation (Flanders)
Solving probability problems in natural language
A Dries, A Kimmig, J Davis, V Belle, L De Raedt
26th International Joint Conference on Artificial Intelligence, 3981-3987, 2017
Mandates: Research Foundation (Flanders)
Combining stochastic constraint optimization and probabilistic programming: from knowledge compilation to constraint solving
ALD Latour, B Babaki, A Dries, A Kimmig, G Van den Broeck, S Nijssen
Principles and Practice of Constraint Programming: 23rd International …, 2017
Mandates: US National Science Foundation, Netherlands Organisation for Scientific Research
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics.
J Renkens, A Kimmig, G Van den Broeck, L De Raedt
Proceedings of the 28th AAAI Conference on Artificial Intelligence, 2014
Mandates: Research Foundation (Flanders)
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