Kimmig, Angelika

21 publications

JAIR 2023 Lifted Reasoning for Combinatorial Counting Pietro Totis, Jesse Davis, Luc De Raedt, Angelika Kimmig

UAI 2023 Neural Probabilistic Logic Programming in Discrete-Continuous Domains Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt

MLJ 2022 Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy

IJCAI 2021 Learning CNF Theories Using MDL and Predicate Invention Arcchit Jain, Clément Gautrais, Angelika Kimmig, Luc De Raedt

AAAI 2020 Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs Efthymia Tsamoura, Víctor Gutiérrez-Basulto, Angelika Kimmig

AAAI 2019 Probabilistic Logic Programming with Beta-Distributed Random Variables Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy

NeurIPSW 2019 Transforming Probabilistic Programs into Algebraic Circuits for Inference and Learning Pedro Zuidberg Dos Martires, Vincent Derkinderen, Robin Manhaeve, Wannes Meert, Angelika Kimmig, Luc De Raedt

NeurIPS 2018 DeepProbLog: Neural Probabilistic Logic Programming Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt

IJCAI 2017 Solving Probability Problems in Natural Language Anton Dries, Angelika Kimmig, Jesse Davis, Vaishak Belle, Luc De Raedt

NeurIPS 2016 New Liftable Classes for First-Order Probabilistic Inference Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole

IJCAI 2015 Anytime Inference in Probabilistic Logic Programs with Tp-Compilation Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt

MLJ 2015 Lifted Graphical Models: A Survey Angelika Kimmig, Lilyana Mihalkova, Lise Getoor

ECML-PKDD 2015 ProbLog2: Probabilistic Logic Programming Anton Dries, Angelika Kimmig, Wannes Meert, Joris Renkens, Guy Van den Broeck, Jonas Vlasselaer, Luc De Raedt

MLJ 2015 Probabilistic (logic) Programming Concepts Luc De Raedt, Angelika Kimmig

AAAI 2014 Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt

MLJ 2014 Finding Relational Redescriptions Esther Galbrun, Angelika Kimmig

AAAI 2011 An Algebraic Prolog for Reasoning About Possible Worlds Angelika Kimmig, Guy Van den Broeck, Luc De Raedt

IJCAI 2009 Local Query Mining in a Probabilistic Prolog Angelika Kimmig, Luc De Raedt

MLJ 2008 Compressing Probabilistic Prolog Programs Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen

ECML-PKDD 2008 Parameter Learning in Probabilistic Databases: A Least Squares Approach Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt

IJCAI 2007 ProbLog: A Probabilistic Prolog and Its Application in Link Discovery Luc De Raedt, Angelika Kimmig, Hannu Toivonen