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2020 – today
- 2024
[j17]Pedro Zuidberg Dos Martires
, Luc De Raedt, Angelika Kimmig:
Declarative probabilistic logic programming in discrete-continuous domains. Artif. Intell. 337: 104227 (2024)- 2023
- [j16]Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings. Expert Syst. Appl. 215: 119376 (2023) - [j15]Pietro Totis, Jesse Davis, Luc De Raedt, Angelika Kimmig:
Lifted Reasoning for Combinatorial Counting. J. Artif. Intell. Res. 76: 1-58 (2023) - [j14]Pietro Totis, Luc De Raedt, Angelika Kimmig:
smProbLog: Stable Model Semantics in ProbLog for Probabilistic Argumentation. Theory Pract. Log. Program. 23(6): 1198-1247 (2023) - [c36]Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt:
Neural probabilistic logic programming in discrete-continuous domains. UAI 2023: 529-538 - [i24]Pedro Zuidberg Dos Martires, Luc De Raedt, Angelika Kimmig:
Declarative Probabilistic Logic Programming in Discrete-Continuous Domains. CoRR abs/2302.10674 (2023) - [i23]Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt:
Neural Probabilistic Logic Programming in Discrete-Continuous Domains. CoRR abs/2303.04660 (2023) - [i22]Pietro Totis, Angelika Kimmig, Luc De Raedt:
smProbLog: Stable Model Semantics in ProbLog for Probabilistic Argumentation. CoRR abs/2304.00879 (2023) - 2022
- [j13]Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Handling epistemic and aleatory uncertainties in probabilistic circuits. Mach. Learn. 111(4): 1259-1301 (2022) - [j12]Rafael Kiesel, Pietro Totis, Angelika Kimmig:
Efficient Knowledge Compilation Beyond Weighted Model Counting. Theory Pract. Log. Program. 22(4): 505-522 (2022) - [i21]Rafael Kiesel, Pietro Totis, Angelika Kimmig:
Efficient Knowledge Compilation Beyond Weighted Model Counting. CoRR abs/2205.07496 (2022) - 2021
- [j11]Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt:
Neural probabilistic logic programming in DeepProbLog. Artif. Intell. 298: 103504 (2021) - [c35]Simon Suster, Pieter Fivez, Pietro Totis, Angelika Kimmig, Jesse Davis, Luc De Raedt, Walter Daelemans:
Mapping probability word problems to executable representations. EMNLP (1) 2021: 3627-3640 - [c34]Arcchit Jain, Clément Gautrais, Angelika Kimmig, Luc De Raedt:
Learning CNF Theories Using MDL and Predicate Invention. IJCAI 2021: 2599-2605 - [p4]Robin Manhaeve, Giuseppe Marra, Thomas Demeester, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt:
Neuro-Symbolic AI = Neural + Logical + Probabilistic AI. Neuro-Symbolic Artificial Intelligence 2021: 173-191 - [i20]Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits. CoRR abs/2102.10865 (2021) - [i19]Pietro Totis, Angelika Kimmig, Luc De Raedt:
SMProbLog: Stable Model Semantics in ProbLog and its Applications in Argumentation. CoRR abs/2110.01990 (2021) - [i18]Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
Using DeepProbLog to perform Complex Event Processing on an Audio Stream. CoRR abs/2110.08090 (2021) - 2020
- [c33]Efthymia Tsamoura, Víctor Gutiérrez-Basulto, Angelika Kimmig:
Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs. AAAI 2020: 10284-10291 - [c32]Sam Vente, Angelika Kimmig, Alun David Preece, Federico Cerutti:
Increasing Negotiation Performance at the Edge of the Network. EUMAS/AT 2020: 351-365 - [e1]Francesco Ricca, Alessandra Russo, Sergio Greco, Nicola Leone, Alexander Artikis, Gerhard Friedrich, Paul Fodor, Angelika Kimmig, Francesca A. Lisi, Marco Maratea, Alessandra Mileo, Fabrizio Riguzzi:
Proceedings 36th International Conference on Logic Programming (Technical Communications), ICLP Technical Communications 2020, (Technical Communications) UNICAL, Rende (CS), Italy, 18-24th September 2020. EPTCS 325, 2020 [contents] - [i17]Sam Vente, Angelika Kimmig, Alun D. Preece, Federico Cerutti:
Increasing negotiation performance at the edge of the network. CoRR abs/2003.13668 (2020) - [i16]Sam Vente, Angelika Kimmig, Alun D. Preece, Federico Cerutti:
The current state of automated negotiation theory: a literature review. CoRR abs/2004.02614 (2020) - [i15]Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
A Hybrid Neuro-Symbolic Approach for Complex Event Processing. CoRR abs/2009.03420 (2020)
2010 – 2019
- 2019
- [j10]Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor:
A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence. IEEE Trans. Knowl. Data Eng. 31(8): 1426-1439 (2019) - [c31]Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Probabilistic Logic Programming with Beta-Distributed Random Variables. AAAI 2019: 7769-7776 - [c30]Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt:
DeepProbLog: Neural Probabilistic Logic Programming. BNAIC/BENELEARN 2019 - [c29]Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig:
Neuro-Symbolic = Neural + Logical + Probabilistic. NeSy@IJCAI 2019 - [i14]Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt:
DeepProbLog: Neural Probabilistic Logic Programming. CoRR abs/1907.08194 (2019) - [i13]Efthymia Tsamoura, Víctor Gutiérrez-Basulto, Angelika Kimmig:
Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs (Technical Report). CoRR abs/1911.07750 (2019) - 2018
- [c28]Federico Cerutti, Moustafa Alzantot, Tianwei Xing, Daniel Harborne, Jonathan Z. Bakdash, Dave Braines, Supriyo Chakraborty, Lance M. Kaplan, Angelika Kimmig, Alun D. Preece, Ramya Raghavendra, Murat Sensoy, Mani B. Srivastava:
Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis. FUSION 2018: 1-8 - [c27]Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt:
DeepProbLog: Neural Probabilistic Logic Programming. NeurIPS 2018: 3753-3763 - [i12]Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt:
DeepProbLog: Neural Probabilistic Logic Programming. CoRR abs/1805.10872 (2018) - [i11]Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Probabilistic Logic Programming with Beta-Distributed Random Variables. CoRR abs/1809.07888 (2018) - 2017
- [j9]Angelika Kimmig, Guy Van den Broeck, Luc De Raedt:
Algebraic model counting. J. Appl. Log. 22: 46-62 (2017) - [c26]Anna L. D. Latour, Behrouz Babaki, Anton Dries, Angelika Kimmig, Guy Van den Broeck, Siegfried Nijssen:
Combining Stochastic Constraint Optimization and Probabilistic Programming - From Knowledge Compilation to Constraint Solving. CP 2017: 495-511 - [c25]Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor:
A Collective, Probabilistic Approach to Schema Mapping. ICDE 2017: 921-932 - [c24]Anton Dries, Angelika Kimmig, Jesse Davis, Vaishak Belle, Luc De Raedt:
Solving Probability Problems in Natural Language. IJCAI 2017: 3981-3987 - [i10]Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor:
A Collective, Probabilistic Approach to Schema Mapping: Appendix. CoRR abs/1702.03447 (2017) - [i9]Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole:
Domain Recursion for Lifted Inference with Existential Quantifiers. CoRR abs/1707.07763 (2017) - 2016
- [j8]Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt:
TP-Compilation for inference in probabilistic logic programs. Int. J. Approx. Reason. 78: 15-32 (2016) - [c23]Jonas Vlasselaer, Angelika Kimmig, Anton Dries, Wannes Meert, Luc De Raedt:
Knowledge Compilation and Weighted Model Counting for Inference in Probabilistic Logic Programs. AAAI Workshop: Beyond NP 2016 - [c22]Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole:
New Liftable Classes for First-Order Probabilistic Inference. NIPS 2016: 3117-3125 - [i8]Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole:
New Liftable Classes for First-Order Probabilistic Inference. CoRR abs/1610.08445 (2016) - 2015
- [j7]Angelika Kimmig, Lilyana Mihalkova, Lise Getoor:
Lifted graphical models: a survey. Mach. Learn. 99(1): 1-45 (2015) - [j6]Luc De Raedt, Angelika Kimmig:
Probabilistic (logic) programming concepts. Mach. Learn. 100(1): 5-47 (2015) - [j5]James Cussens, Luc De Raedt, Angelika Kimmig, Taisuke Sato:
Introduction to the special issue on probability, logic and learning. Theory Pract. Log. Program. 15(2): 145-146 (2015) - [c21]Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt:
Anytime Inference in Probabilistic Logic Programs with Tp-Compilation. IJCAI 2015: 1852-1858 - [c20]Anton Dries, Angelika Kimmig, Wannes Meert, Joris Renkens, Guy Van den Broeck, Jonas Vlasselaer, Luc De Raedt:
ProbLog2: Probabilistic Logic Programming. ECML/PKDD (3) 2015: 312-315 - [i7]Joris Renkens, Angelika Kimmig, Luc De Raedt:
Lazy Explanation-Based Approximation for Probabilistic Logic Programming. CoRR abs/1507.02873 (2015) - 2014
- [j4]Esther Galbrun, Angelika Kimmig:
Finding relational redescriptions. Mach. Learn. 96(3): 225-248 (2014) - [c19]Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt:
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. AAAI 2014: 2490-2496 - [c18]Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt:
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. StarAI@AAAI 2014 - [c17]Walaa Eldin Moustafa, Angelika Kimmig, Amol Deshpande, Lise Getoor:
Subgraph pattern matching over uncertain graphs with identity linkage uncertainty. ICDE 2014: 904-915 - [c16]Dimitar Sht. Shterionov, Joris Renkens, Jonas Vlasselaer, Angelika Kimmig, Wannes Meert, Gerda Janssens:
The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions. ILP 2014: 139-153 - [c15]Dries Van Daele, Angelika Kimmig, Luc De Raedt:
PageRank, ProPPR, and Stochastic Logic Programs. ILP 2014: 168-180 - 2013
- [c14]Martin Theobald, Luc De Raedt, Maximilian Dylla, Angelika Kimmig, Iris Miliaraki:
10 Years of Probabilistic Querying - What Next? ADBIS 2013: 1-13 - [c13]Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck:
A Flexible Framework for Probabilistic Models of Social Trust. SBP 2013: 265-273 - [i6]Walaa Eldin Moustafa, Angelika Kimmig, Amol Deshpande, Lise Getoor:
Subgraph Pattern Matching over Uncertain Graphs with Identity Linkage Uncertainty. CoRR abs/1305.7006 (2013) - [i5]Luc De Raedt, Angelika Kimmig:
Probabilistic Programming Concepts. CoRR abs/1312.4328 (2013) - 2012
- [c12]Esther Galbrun, Angelika Kimmig:
Towards Finding Relational Redescriptions. Discovery Science 2012: 52-66 - [c11]Alex Memory, Angelika Kimmig, Stephen H. Bach, Louiqa Raschid, Lise Getoor:
Graph Summarization in Annotated Data Using Probabilistic Soft Logic. URSW 2012: 75-86 - [c10]Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck:
Probabilistic Soft Logic for Trust Analysis in Social Networks. StarAI@UAI 2012 - [p3]Angelika Kimmig, Esther Galbrun, Hannu Toivonen, Luc De Raedt:
Patterns and Logic for Reasoning with Networks. Bisociative Knowledge Discovery 2012: 122-143 - [p2]Angelika Kimmig, Fabrizio Costa:
Link and Node Prediction in Metabolic Networks with Probabilistic Logic. Bisociative Knowledge Discovery 2012: 407-426 - [i4]Angelika Kimmig, Guy Van den Broeck, Luc De Raedt:
Algebraic Model Counting. CoRR abs/1211.4475 (2012) - 2011
- [j3]Angelika Kimmig, Bart Demoen, Luc De Raedt, Vítor Santos Costa, Ricardo Rocha:
On the implementation of the probabilistic logic programming language ProbLog. Theory Pract. Log. Program. 11(2-3): 235-262 (2011) - [j2]Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt:
The magic of logical inference in probabilistic programming. Theory Pract. Log. Program. 11(4-5): 663-680 (2011) - [c9]Angelika Kimmig, Guy Van den Broeck, Luc De Raedt:
An Algebraic Prolog for Reasoning about Possible Worlds. AAAI 2011: 209-214 - [i3]Bernd Gutmann, Ingo Thon, Angelika Kimmig, Maurice Bruynooghe, Luc De Raedt:
The Magic of Logical Inference in Probabilistic Programming. CoRR abs/1107.5152 (2011) - 2010
- [b1]Angelika Kimmig:
A Probabilistic Prolog and its Applications (Een probabilistische prolog en zijn toepassingen) ; A Probabilistic Prolog and its Applications. Katholieke Universiteit Leuven, Belgium, 2010 - [c8]Maurice Bruynooghe, Theofrastos Mantadelis, Angelika Kimmig, Bernd Gutmann, Joost Vennekens, Gerda Janssens, Luc De Raedt:
ProbLog Technology for Inference in a Probabilistic First Order Logic. ECAI 2010: 719-724 - [c7]Theofrastos Mantadelis, Ricardo Rocha, Angelika Kimmig, Gerda Janssens:
Preprocessing Boolean Formulae for BDDs in a Probabilistic Context. JELIA 2010: 260-272 - [p1]Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting, Vítor Santos Costa, Hannu Toivonen:
Probabilistic Inductive Querying Using ProbLog. Inductive Databases and Constraint-Based Data Mining 2010: 229-262 - [i2]Angelika Kimmig, Bart Demoen, Luc De Raedt, Vítor Santos Costa, Ricardo Rocha:
On the Implementation of the Probabilistic Logic Programming Language ProbLog. CoRR abs/1006.4442 (2010) - [i1]Dimitar Sht. Shterionov, Angelika Kimmig, Theofrastos Mantadelis, Gerda Janssens:
DNF Sampling for ProbLog Inference. CoRR abs/1009.3798 (2010)
2000 – 2009
- 2009
- [c6]Angelika Kimmig, Luc De Raedt:
Local Query Mining in a Probabilistic Prolog. IJCAI 2009: 1095-1100 - 2008
- [j1]Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen:
Compressing probabilistic Prolog programs. Mach. Learn. 70(2-3): 151-168 (2008) - [c5]Angelika Kimmig, Vítor Santos Costa, Ricardo Rocha, Bart Demoen, Luc De Raedt:
On the Efficient Execution of ProbLog Programs. ICLP 2008: 175-189 - [c4]Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt:
Parameter Learning in Probabilistic Databases: A Least Squares Approach. ECML/PKDD (1) 2008: 473-488 - 2007
- [c3]Angelika Kimmig, Luc De Raedt, Hannu Toivonen:
Probabilistic Explanation Based Learning. ECML 2007: 176-187 - [c2]Luc De Raedt, Angelika Kimmig, Hannu Toivonen:
ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. IJCAI 2007: 2462-2467 - 2006
- [c1]Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen:
Revising Probabilistic Prolog Programs. ILP 2006: 30-33
Coauthor Index
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last updated on 2024-10-23 21:22 CEST by the dblp team
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