Luc De Raedt

140 publications

24 venues

H Index38

Affiliation

Catholic University of Leuven, Belgium
University of Freiburg, Germany

Links

Name Venue Year Citations
Acquiring Integer Programs from Data. IJCAI 2019 1
A Theory of Clausal Discovery. IJCAI 1993 100
Declarative Modeling for Machine Learning and Data Mining. ECML/PKDD 2012 0
kProbLog: An Algebraic Prolog for Kernel Programming. ILP 2015 0
Frequent Hypergraph Mining. ILP 2006 14
DeepProbLog: Neural Probabilistic Logic Programming. NIPS/NeurIPS 2018 50
ProbLog2: Probabilistic Logic Programming. ECML/PKDD 2015 21
Probabilistic Explanation Based Learning. ECML/PKDD 2007 20
Logical Markov Decision Programs and the Convergence of Logical TD(lambda). ILP 2004 25
A Logical Database Mining Query Language. ILP 2000 15
Languages for Learning and Mining. AAAI 2015 4
Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection. ILP 2011 11
Bellman goes relational. ICML 2004 76
Condition Monitoring with Incomplete Observations. ECAI 2014 1
Probabilistic Rule Learning. ILP 2010 29
Occluded object search by relational affordances. ICRA 2014 16
Parameter Learning in Probabilistic Databases: A Least Squares Approach. ECML/PKDD 2008 47
Relational Kernel-Based Grasping with Numerical Features. ILP 2015 0
kFOIL: Learning Simple Relational Kernels. AAAI 2006 81
Distributional Clauses Particle Filter. ECML/PKDD 2014 2
Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms. ILP 1999 9
On Negation and Three-Valued Logic in Interactive Concept-Learning. ECAI 1990 16
Instance Based Function Learning. ILP 1999 9
On the Efficient Execution of ProbLog Programs. ICLP 2008 47
Using Logical Decision Trees for Clustering. ILP 1997 41
A Simple Model for Sequences of Relational State Descriptions. ECML/PKDD 2008 19
Mining Association Rules in Multiple Relations. ILP 1997 158
Anytime Inference in Probabilistic Logic Programs with Tp-Compilation. IJCAI 2015 22
Learning the Structure of Dynamic Hybrid Relational Models. ECAI 2016 8
Cluster-Grouping: From Subgroup Discovery to Clustering. ECML/PKDD 2004 2
Allocentric Pose Estimation. ICCV 2013 5
Constraint-Based Pattern Set Mining. SDM 2007 83
Phase Transitions and Stochastic Local Search in k-Term DNF Learning. ECML/PKDD 2002 27
Molecular feature mining in HIV data. KDD 2001 181
Relational object tracking and learning. ICRA 2014 19
Statistical Relational Learning: An Inductive Logic Programming Perspective. ECML/PKDD 2005 2
The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding. IJCAI 2001 114
Probabilistic Logic Learning - A Tutorial Abstract. ICLP 2009 0
Learning the Parameters of Probabilistic Logic Programs from Interpretations. ECML/PKDD 2011 53
A Theory of Inductive Query Answering. ICDM 2002 48
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation. AAAI 2019 7
Learning Constraints From Examples. AAAI 2018 8
Learning relational affordance models for two-arm robots. IROS 2014 10
Relational Affordance Learning for Task-Dependent Robot Grasping. ILP 2017 2
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration. IJCAI 2019 2
Condensed Representations for Inductive Logic Programming. KR 2004 35
Relational Reinforcement Learning. MLJ 2001 1
Planning in hybrid relational MDPs. MLJ 2017 2
Integrating Naïve Bayes and FOIL. JMLR 2007 51
MiningZinc: A Modeling Language for Constraint-Based Mining. IJCAI 2013 24
An Exercise in Declarative Modeling for Relational Query Mining. ILP 2015 5
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. AAAI 2014 12
Relational Regularization and Feature Ranking. SDM 2014 1
Don't Be Afraid of Simpler Patterns. ECML/PKDD 2006 49
Multiple Predicate Learning. IJCAI 1993 58
Towards Combining Inductive Logic Programming with Bayesian Networks. ILP 2001 107
Flexible constrained sampling with guarantees for pattern mining. DMKD 2017 10
Forgetting and Compacting data in Concept Learning. IJCAI 1995 2
ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. IJCAI 2007 488
Learning relational affordance models for robots in multi-object manipulation tasks. ICRA 2012 86
Extending ProbLog with Continuous Distributions. ILP 2010 33
Explanation Based Program Transformation. IJCAI 1989 10
Towards Learning Stochastic Logic Programs from Proof-Banks. AAAI 2005 11
Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework. PAKDD 2011 7
How to Exploit Structure while Solving Weighted Model Integration Problems. UAI 2019 2
Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract). ILP 1998 94
Using ILP-Systems for Verification and Validation of Multi-agent Systems. ILP 1998 5
Predicting Spike Activity in Neuronal Cultures. IJCNN 2007 0
Exploiting local and repeated structure in Dynamic Bayesian Networks. Artificial Intelligence 2016 18
Lifted Probabilistic Inference by First-Order Knowledge Compilation. IJCAI 2011 124
Belief Updating from Integrity Constraints and Queries. Artificial Intelligence 1992 29
Learning Relational Navigation Policies. IROS 2006 28
Revising Probabilistic Prolog Programs. ILP 2006 1
Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of Houses. ILP 2010 1
An experimental evaluation of simplicity in rule learning. Artificial Intelligence 2008 12
Relational data factorization. MLJ 2017 0
TaCLe: Learning Constraints in Tabular Data. CIKM 2017 0
Probabilistic (logic) programming concepts. MLJ 2015 73
Stochastic Constraint Programming with And-Or Branch-and-Bound. IJCAI 2017 3
MiningZinc: A declarative framework for constraint-based mining. Artificial Intelligence 2017 17
Probabilistic logic programming for hybrid relational domains. MLJ 2016 14
An Algebra for Inductive Query Evaluation. ICDM 2003 20
First-Order jk-Clausal Theories are PAC-Learnable. Artificial Intelligence 1994 111
Learning constraints in spreadsheets and tabular data. MLJ 2017 7
Grammar Mining. SDM 2009 0
Towards Clausal Discovery for Stream Mining. ILP 2009 7
Rank Matrix Factorisation. PAKDD 2015 4
Lookahead and Discretization in ILP. ILP 1997 48
Constraint programming for itemset mining. KDD 2008 119
r-grams: Relational Grams. IJCAI 2007 7
A query language for analyzing networks. CIKM 2009 36
An Algebraic Prolog for Reasoning about Possible Worlds. AAAI 2011 20
Relational Reinforcement Learning. ILP 1998 2
Feature Construction with Version Spaces for Biochemical Applications. ICML 2001 72
Relational Learning for Spatial Relation Extraction from Natural Language. ILP 2011 17
Ranked Tiling. ECML/PKDD 2014 13
ProbLog Technology for Inference in a Probabilistic First Order Logic. ECAI 2010 9
Inverse Resolution in an Integrated Inductive-Deductive Learning System. ECAI 1992 1
Learning SMT(LRA) Constraints using SMT Solvers. IJCAI 2018 8
Logical Hidden Markov Models. JAIR 2006 81
Logical Settings for Concept-Learning. Artificial Intelligence 1997 105
Graph Invariant Kernels. IJCAI 2015 46
A particle filter for hybrid relational domains. IROS 2013 40
Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming. ECML/PKDD 2015 19
Cluster-grouping: from subgroup discovery to clustering. MLJ 2009 22
Theta-Subsumption for Structural Matching. ECML/PKDD 1997 3
Towards Friendly Concept-Learners. IJCAI 1989 19
Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. ECML/PKDD 1999 0
DTProbLog: A Decision-Theoretic Probabilistic Prolog. AAAI 2010 40
Top-Down Induction of Clustering Trees. ICML 1998 304
nFOIL: Integrating Naïve Bayes and FOIL. AAAI 2005 64
PageRank, ProPPR, and Stochastic Logic Programs. ILP 2014 0
On Mining Closed Sets in Multi-Relational Data. IJCAI 2007 15
Itemset mining: A constraint programming perspective. Artificial Intelligence 2011 123
Adaptive Bayesian Logic Programs. ILP 2001 51
Local Query Mining in a Probabilistic Prolog. IJCAI 2009 7
Inference in Probabilistic Logic Programs using Weighted CNF's. UAI 2011 60
Inducing Probabilistic Relational Rules from Probabilistic Examples. IJCAI 2015 35
Iterative Versionspaces. Artificial Intelligence 1994 8
Correlated itemset mining in ROC space: a constraint programming approach. KDD 2009 60
Solving Probability Problems in Natural Language. IJCAI 2017 7
kProbLog: an algebraic Prolog for machine learning. MLJ 2017 1
Constraint Programming for Data Mining and Machine Learning. AAAI 2010 47
kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract). IJCAI 2015 0
Towards Optimizing Conjunctive Inductive Queries. PAKDD 2004 0
Relational Reinforcement Learning. ICML 1998 0
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. JMLR 2006 0
Effective feature construction by maximum common subgraph sampling. MLJ 2011 0
Interactive Concept-Learning and Constructive Induction by Analogy. MLJ 1992 0
Declarative Bias for Specific-to-General ILP Systems. MLJ 1995 0
ILP turns 20 - Biography and future challenges. MLJ 2012 0
Clausal Discovery. MLJ 1997 0
Stochastic relational processes: Efficient inference and applications. MLJ 2011 0
Predictive spreadsheet autocompletion with constraints. MLJ 2020 0
Fast learning of relational kernels. MLJ 2010 0
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. MLJ 2011 0
Compressing probabilistic Prolog programs. MLJ 2008 0
kLog: A language for logical and relational learning with kernels. Artificial Intelligence 2014 0
Top-Down Induction of First-Order Logical Decision Trees. Artificial Intelligence 1998 0
Scaling Up Inductive Logic Programming by Learning from Interpretations. DMKD 1999 0
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