Luc De Raedt

153 publications

26 venues

H Index 44

Affiliation

Catholic University of Leuven, Belgium
University of Freiburg, Germany

Links

Name Venue Year citations
Democratizing Constraint Satisfaction Problems through Machine Learning. AAAI 2021 0
Mapping probability word problems to executable representations. EMNLP 2021 0
Learning CNF Theories Using MDL and Predicate Invention. IJCAI 2021 0
Approximate Inference for Neural Probabilistic Logic Programming. KR 2021 0
Neural probabilistic logic programming in DeepProbLog. Artificial Intelligence 2021 10
ProbAnch: a Modular Probabilistic Anchoring Framework. IJCAI 2020 1
Algebraic Circuits for Decision Theoretic Inference and Learning. ECAI 2020 1
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. AAAI 2020 6
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. IJCAI 2020 11
Ordering Variables for Weighted Model Integration. UAI 2020 2
VisualSynth: Democratizing Data Science in Spreadsheets. ECML/PKDD 2020 0
Predictive spreadsheet autocompletion with constraints. MLJ 2020 0
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation. AAAI 2019 23
How to Exploit Structure while Solving Weighted Model Integration Problems. UAI 2019 10
Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach. Autonomous Robots 2019 14
Acquiring Integer Programs from Data. IJCAI 2019 4
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration. IJCAI 2019 9
Learning Constraints From Examples. AAAI 2018 45
Learning SMT(LRA) Constraints using SMT Solvers. IJCAI 2018 28
Relational affordances for multiple-object manipulation. Autonomous Robots 2018 17
DeepProbLog: Neural Probabilistic Logic Programming. NIPS/NeurIPS 2018 221
Learning constraints in spreadsheets and tabular data. MLJ 2017 25
Solving Probability Problems in Natural Language. IJCAI 2017 9
kProbLog: an algebraic Prolog for machine learning. MLJ 2017 6
Planning in hybrid relational MDPs. MLJ 2017 6
MiningZinc: A declarative framework for constraint-based mining. Artificial Intelligence 2017 29
Relational data factorization. MLJ 2017 0
TaCLe: Learning Constraints in Tabular Data. CIKM 2017 4
Stochastic Constraint Programming with And-Or Branch-and-Bound. IJCAI 2017 10
Relational Affordance Learning for Task-Dependent Robot Grasping. ILP 2017 2
Flexible constrained sampling with guarantees for pattern mining. DMKD 2017 24
Learning the Structure of Dynamic Hybrid Relational Models. ECAI 2016 12
Exploiting local and repeated structure in Dynamic Bayesian Networks. Artificial Intelligence 2016 29
Probabilistic logic programming for hybrid relational domains. MLJ 2016 30
Graph Invariant Kernels. IJCAI 2015 75
kProbLog: An Algebraic Prolog for Kernel Programming. ILP 2015 2
Inducing Probabilistic Relational Rules from Probabilistic Examples. IJCAI 2015 56
An Exercise in Declarative Modeling for Relational Query Mining. ILP 2015 9
Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming. ECML/PKDD 2015 24
Probabilistic (logic) programming concepts. MLJ 2015 140
Relational Kernel-Based Grasping with Numerical Features. ILP 2015 4
ProbLog2: Probabilistic Logic Programming. ECML/PKDD 2015 37
Rank Matrix Factorisation. PAKDD 2015 4
kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract). IJCAI 2015 45
Languages for Learning and Mining. AAAI 2015 3
Anytime Inference in Probabilistic Logic Programs with Tp-Compilation. IJCAI 2015 37
Ranked Tiling. ECML/PKDD 2014 19
Condition Monitoring with Incomplete Observations. ECAI 2014 1
Occluded object search by relational affordances. ICRA 2014 23
Relational Regularization and Feature Ranking. SDM 2014 2
Distributional Clauses Particle Filter. ECML/PKDD 2014 2
PageRank, ProPPR, and Stochastic Logic Programs. ILP 2014 2
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. AAAI 2014 15
Learning relational affordance models for two-arm robots. IROS 2014 11
Relational object tracking and learning. ICRA 2014 22
kLog: A language for logical and relational learning with kernels. Artificial Intelligence 2014 0
Allocentric Pose Estimation. ICCV 2013 8
A particle filter for hybrid relational domains. IROS 2013 48
MiningZinc: A Modeling Language for Constraint-Based Mining. IJCAI 2013 36
Declarative Modeling for Machine Learning and Data Mining. ECML/PKDD 2012 2
Learning relational affordance models for robots in multi-object manipulation tasks. ICRA 2012 112
ILP turns 20 - Biography and future challenges. MLJ 2012 63
An Algebraic Prolog for Reasoning about Possible Worlds. AAAI 2011 47
Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework. PAKDD 2011 11
Lifted Probabilistic Inference by First-Order Knowledge Compilation. IJCAI 2011 170
Learning the Parameters of Probabilistic Logic Programs from Interpretations. ECML/PKDD 2011 74
Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection. ILP 2011 15
Relational Learning for Spatial Relation Extraction from Natural Language. ILP 2011 30
Inference in Probabilistic Logic Programs using Weighted CNF's. UAI 2011 87
Itemset mining: A constraint programming perspective. Artificial Intelligence 2011 178
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. MLJ 2011 0
Effective feature construction by maximum common subgraph sampling. MLJ 2011 0
Stochastic relational processes: Efficient inference and applications. MLJ 2011 0
Probabilistic Rule Learning. ILP 2010 44
Extending ProbLog with Continuous Distributions. ILP 2010 52
DTProbLog: A Decision-Theoretic Probabilistic Prolog. AAAI 2010 59
ProbLog Technology for Inference in a Probabilistic First Order Logic. ECAI 2010 15
Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of Houses. ILP 2010 2
Constraint Programming for Data Mining and Machine Learning. AAAI 2010 68
Fast learning of relational kernels. MLJ 2010 0
A query language for analyzing networks. CIKM 2009 52
Grammar Mining. SDM 2009 0
Local Query Mining in a Probabilistic Prolog. IJCAI 2009 10
Cluster-grouping: from subgroup discovery to clustering. MLJ 2009 38
Correlated itemset mining in ROC space: a constraint programming approach. KDD 2009 79
Towards Clausal Discovery for Stream Mining. ILP 2009 8
Probabilistic Logic Learning - A Tutorial Abstract. ICLP 2009 0
An experimental evaluation of simplicity in rule learning. Artificial Intelligence 2008 20
Constraint programming for itemset mining. KDD 2008 167
A Simple Model for Sequences of Relational State Descriptions. ECML/PKDD 2008 26
Parameter Learning in Probabilistic Databases: A Least Squares Approach. ECML/PKDD 2008 65
On the Efficient Execution of ProbLog Programs. ICLP 2008 66
Compressing probabilistic Prolog programs. MLJ 2008 0
On Mining Closed Sets in Multi-Relational Data. IJCAI 2007 28
Predicting Spike Activity in Neuronal Cultures. IJCNN 2007 0
Constraint-Based Pattern Set Mining. SDM 2007 115
Probabilistic Explanation Based Learning. ECML/PKDD 2007 26
r-grams: Relational Grams. IJCAI 2007 9
Integrating Naïve Bayes and FOIL. JMLR 2007 68
ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. IJCAI 2007 0
Frequent Hypergraph Mining. ILP 2006 27
Revising Probabilistic Prolog Programs. ILP 2006 3
Learning Relational Navigation Policies. IROS 2006 37
Don't Be Afraid of Simpler Patterns. ECML/PKDD 2006 64
Logical Hidden Markov Models. JAIR 2006 114
kFOIL: Learning Simple Relational Kernels. AAAI 2006 112
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. JMLR 2006 0
Statistical Relational Learning: An Inductive Logic Programming Perspective. ECML/PKDD 2005 3
nFOIL: Integrating Naïve Bayes and FOIL. AAAI 2005 95
Towards Learning Stochastic Logic Programs from Proof-Banks. AAAI 2005 17
Cluster-Grouping: From Subgroup Discovery to Clustering. ECML/PKDD 2004 2
Bellman goes relational. ICML 2004 114
Condensed Representations for Inductive Logic Programming. KR 2004 48
Logical Markov Decision Programs and the Convergence of Logical TD(lambda). ILP 2004 0
Towards Optimizing Conjunctive Inductive Queries. PAKDD 2004 0
An Algebra for Inductive Query Evaluation. ICDM 2003 30
A Theory of Inductive Query Answering. ICDM 2002 27
Phase Transitions and Stochastic Local Search in k-Term DNF Learning. ECML/PKDD 2002 39
Adaptive Bayesian Logic Programs. ILP 2001 123
Towards Combining Inductive Logic Programming with Bayesian Networks. ILP 2001 159
Relational Reinforcement Learning. MLJ 2001 0
The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding. IJCAI 2001 162
Molecular feature mining in HIV data. KDD 2001 265
Feature Construction with Version Spaces for Biochemical Applications. ICML 2001 107
A Logical Database Mining Query Language. ILP 2000 24
Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms. ILP 1999 15
Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. ECML/PKDD 1999 5
Instance Based Function Learning. ILP 1999 9
Scaling Up Inductive Logic Programming by Learning from Interpretations. DMKD 1999 0
Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract). ILP 1998 142
Top-Down Induction of Clustering Trees. ICML 1998 473
Using ILP-Systems for Verification and Validation of Multi-agent Systems. ILP 1998 8
Relational Reinforcement Learning. ILP 1998 26
Relational Reinforcement Learning. ICML 1998 0
Top-Down Induction of First-Order Logical Decision Trees. Artificial Intelligence 1998 0
Using Logical Decision Trees for Clustering. ILP 1997 61
Theta-Subsumption for Structural Matching. ECML/PKDD 1997 7
Lookahead and Discretization in ILP. ILP 1997 74
Mining Association Rules in Multiple Relations. ILP 1997 235
Logical Settings for Concept-Learning. Artificial Intelligence 1997 175
Clausal Discovery. MLJ 1997 0
Forgetting and Compacting data in Concept Learning. IJCAI 1995 3
Declarative Bias for Specific-to-General ILP Systems. MLJ 1995 0
Iterative Versionspaces. Artificial Intelligence 1994 16
First-Order jk-Clausal Theories are PAC-Learnable. Artificial Intelligence 1994 187
Multiple Predicate Learning. IJCAI 1993 102
A Theory of Clausal Discovery. IJCAI 1993 157
Belief Updating from Integrity Constraints and Queries. Artificial Intelligence 1992 42
Inverse Resolution in an Integrated Inductive-Deductive Learning System. ECAI 1992 1
Interactive Concept-Learning and Constructive Induction by Analogy. MLJ 1992 0
On Negation and Three-Valued Logic in Interactive Concept-Learning. ECAI 1990 28
Explanation Based Program Transformation. IJCAI 1989 18
Towards Friendly Concept-Learners. IJCAI 1989 35
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