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 MAXSAT from Contextual Examples for Combinatorial Optimisation.

AAAI 
2020 
6 
From Statistical Relational to NeuroSymbolic 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 multipleobject 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 constraintbased mining.

Artificial Intelligence 
2017 
29 
Relational data factorization.

MLJ 
2017 
0 
TaCLe: Learning Constraints in Tabular Data.

CIKM 
2017 
4 
Stochastic Constraint Programming with AndOr BranchandBound.

IJCAI 
2017 
10 
Relational Affordance Learning for TaskDependent 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 KernelBased 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 TpCompilation.

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 
ExplanationBased Approximate Weighted Model Counting for Probabilistic Logics.

AAAI 
2014 
15 
Learning relational affordance models for twoarm 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 ConstraintBased Mining.

IJCAI 
2013 
36 
Declarative Modeling for Machine Learning and Data Mining.

ECML/PKDD 
2012 
2 
Learning relational affordance models for robots in multiobject 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 FirstOrder Knowledge Compilation.

IJCAI 
2011 
170 
Learning the Parameters of Probabilistic Logic Programs from Interpretations.

ECML/PKDD 
2011 
74 
KernelBased 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 DecisionTheoretic 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 DistanceBased 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 
Clustergrouping: 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 MultiRelational Data.

IJCAI 
2007 
28 
Predicting Spike Activity in Neuronal Cultures.

IJCNN 
2007 
0 
ConstraintBased Pattern Set Mining.

SDM 
2007 
115 
Probabilistic Explanation Based Learning.

ECML/PKDD 
2007 
26 
rgrams: 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 ProofBanks.

AAAI 
2005 
17 
ClusterGrouping: 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 kTerm 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 
AttributeValue Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract).

ILP 
1998 
142 
TopDown Induction of Clustering Trees.

ICML 
1998 
473 
Using ILPSystems for Verification and Validation of Multiagent Systems.

ILP 
1998 
8 
Relational Reinforcement Learning.

ILP 
1998 
26 
Relational Reinforcement Learning.

ICML 
1998 
0 
TopDown Induction of FirstOrder Logical Decision Trees.

Artificial Intelligence 
1998 
0 
Using Logical Decision Trees for Clustering.

ILP 
1997 
61 
ThetaSubsumption 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 ConceptLearning.

Artificial Intelligence 
1997 
175 
Clausal Discovery.

MLJ 
1997 
0 
Forgetting and Compacting data in Concept Learning.

IJCAI 
1995 
3 
Declarative Bias for SpecifictoGeneral ILP Systems.

MLJ 
1995 
0 
Iterative Versionspaces.

Artificial Intelligence 
1994 
16 
FirstOrder jkClausal Theories are PACLearnable.

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 InductiveDeductive Learning System.

ECAI 
1992 
1 
Interactive ConceptLearning and Constructive Induction by Analogy.

MLJ 
1992 
0 
On Negation and ThreeValued Logic in Interactive ConceptLearning.

ECAI 
1990 
28 
Explanation Based Program Transformation.

IJCAI 
1989 
18 
Towards Friendly ConceptLearners.

IJCAI 
1989 
35 