| Publication | Date of Publication | Type |
|---|
| Learning Distributional Programs for Relational Autocompletion | 2023-12-12 | Paper |
| Inductive constraint logic | 2023-12-08 | Paper |
| Lifted Reasoning for Combinatorial Counting | 2023-01-09 | Paper |
| Learning MAX-SAT from contextual examples for combinatorial optimisation | 2023-01-04 | Paper |
| Lifted model checking for relational MDPs | 2022-11-28 | Paper |
| Neural probabilistic logic programming in DeepProbLog | 2021-11-02 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4999319 | 2021-07-06 | Paper |
| Learning Constraint Satisfaction Problems: An ILP Perspective | 2021-05-20 | Paper |
| Relational affordance learning for task-dependent robot grasping | 2021-02-08 | Paper |
| Semiring programming: a semantic framework for generalized sum product problems | 2020-10-22 | Paper |
| Predictive spreadsheet autocompletion with constraints | 2020-03-04 | Paper |
| Flexible constrained sampling with guarantees for pattern mining | 2019-05-03 | Paper |
| Relational data factorization | 2018-02-26 | Paper |
| Planning in hybrid relational MDPs | 2018-02-26 | Paper |
| kProbLog: an algebraic Prolog for machine learning | 2018-02-26 | Paper |
| Inference and learning in probabilistic logic programs using weighted Boolean formulas | 2017-11-09 | Paper |
| Algebraic model counting | 2017-09-29 | Paper |
| MiningZinc: a declarative framework for constraint-based mining | 2017-02-22 | Paper |
| kProbLog: An Algebraic Prolog for Kernel Programming | 2016-10-19 | Paper |
| \(T_{\mathcal{P}}\)-compilation for inference in probabilistic logic programs | 2016-10-17 | Paper |
| Probabilistic logic programming for hybrid relational domains | 2016-07-22 | Paper |
| Statistical Relational Artificial Intelligence: Logic, Probability, and Computation | 2016-05-10 | Paper |
| Exploiting local and repeated structure in dynamic Bayesian networks | 2016-02-09 | Paper |
| Probabilistic (logic) programming concepts | 2015-12-02 | Paper |
| kLog: a language for logical and relational learning with kernels | 2014-10-27 | Paper |
| Mining closed patterns in relational, graph and network data | 2014-06-26 | Paper |
| ILP turns 20. Biography and future challenges | 2012-07-31 | Paper |
| Stochastic relational processes: efficient inference and applications | 2012-05-08 | Paper |
| Effective feature construction by maximum common subgraph sampling | 2012-05-08 | Paper |
| Itemset mining: a constraint programming perspective | 2011-11-25 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3093346 | 2011-10-12 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3174087 | 2011-10-12 | Paper |
| The magic of logical inference in probabilistic programming | 2011-08-16 | Paper |
| Probabilistic Rule Learning | 2011-06-17 | Paper |
| Extending ProbLog with Continuous Distributions | 2011-06-17 | Paper |
| On the implementation of the probabilistic logic programming language ProbLog | 2011-06-15 | Paper |
| ProbLog Technology for Inference in a Probabilistic First Order Logic | 2011-05-11 | Paper |
| A Theory of Inductive Query Answering | 2010-12-22 | Paper |
| Probabilistic Inductive Querying Using ProbLog | 2010-12-22 | Paper |
| Cluster-grouping: from subgroup discovery to clustering | 2010-10-07 | Paper |
| Fast learning of relational kernels | 2010-10-07 | Paper |
| About Knowledge and Inference in Logical and Relational Learning | 2010-03-23 | Paper |
| An experimental evaluation of simplicity in rule learning | 2009-07-17 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3624004 | 2009-04-28 | Paper |
| Compressing probabilistic Prolog programs | 2009-03-31 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3602745 | 2009-02-12 | Paper |
| On the Efficient Execution of ProbLog Programs | 2009-01-22 | Paper |
| Logical and Relational Learning | 2008-07-23 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5456754 | 2008-04-14 | Paper |
| Probabilistic Inductive Logic Programming | 2008-03-28 | Paper |
| Relational Sequence Learning | 2008-03-28 | Paper |
| Basic Principles of Learning Bayesian Logic Programs | 2008-03-28 | Paper |
| Machine Learning: ECML 2004 | 2008-03-14 | Paper |
| Revising Probabilistic Prolog Programs | 2007-11-15 | Paper |
| Frequent Hypergraph Mining | 2007-11-15 | Paper |
| Constraint-Based Mining and Inductive Databases | 2006-11-13 | Paper |
| Inductive Logic Programming | 2006-10-19 | Paper |
| Database Support for Data Mining Applications | 2006-01-10 | Paper |
| Database Support for Data Mining Applications | 2006-01-10 | Paper |
| Algorithmic Learning Theory | 2005-08-18 | Paper |
| Discovery Science | 2005-08-18 | Paper |
| Discovery Science | 2005-08-18 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4709224 | 2003-06-20 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4707777 | 2003-06-11 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4796150 | 2003-03-02 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4796151 | 2003-03-02 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4537965 | 2002-10-13 | Paper |
| Relational reinforcement learning | 2002-07-22 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2771840 | 2002-02-18 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4702574 | 2002-01-24 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4939276 | 2000-07-20 | Paper |
| First-order \(jk\)-clausal theories are PAC-learnable | 2000-06-21 | Paper |
| Top-down induction of first-order logical decision trees | 1999-01-12 | Paper |
| Logical settings for concept-learning | 1998-06-30 | Paper |
| Clausal discovery | 1997-07-06 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4877447 | 1996-07-16 | Paper |
| Iterative versionspaces | 1996-02-26 | Paper |
| Inductive Logic Programming: Theory and methods | 1994-10-13 | Paper |
| Acquiring object-knowledge | 1993-01-16 | Paper |
| Interactive concept-learning and constructive induction by analogy | 1992-09-27 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3490929 | 1989-01-01 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3493255 | 1989-01-01 | Paper |
