Ramon, Jan

29 publications

TMLR 2025 A Survey on Verifiable Cross-Silo Federated Learning Aleksei Korneev, Jan Ramon

MLJ 2023 Limits of Multi-Relational Graphs Juan Alvarado, Yuyi Wang, Jan Ramon

MLJ 2022 An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging César Sabater, Aurélien Bellet, Jan Ramon

NeurIPSW 2021 Zero Knowledge Arguments for Verifiable Sampling César Sabater, Jan Ramon

ALT 2017 Learning from Networked Examples Yuyi Wang, Zheng-Chu Guo, Jan Ramon

IJCAI 2016 Bounds for Learning from Evolutionary-Related Data in the Realizable Case Ondrej Kuzelka, Yuyi Wang, Jan Ramon

MLJ 2016 Guest Editors Introduction: Special Issue on Inductive Logic Programming Jesse Davis, Jan Ramon

MLJ 2015 Learning Relational Dependency Networks in Hybrid Domains Irma Ravkic, Jan Ramon, Jesse Davis

ECML-PKDD 2013 Detecting Bicliques in GF[q] Jan Ramon, Pauli Miettinen, Jilles Vreeken

ECML-PKDD 2013 Efficient Frequent Connected Induced Subgraph Mining in Graphs of Bounded Tree-Width Tamás Horváth, Keisuke Otaki, Jan Ramon

ACML 2013 Guided Monte Carlo Tree Search for Planning in Learned Environments Jelle Van Eyck, Jan Ramon, Fabian Guiza, Geert MeyFroidt, Maurice Bruynooghe, Greet Van den Berghe

ECML-PKDD 2012 An Efficiently Computable Support Measure for Frequent Subgraph Pattern Mining Yuyi Wang, Jan Ramon

ECML-PKDD 2012 Nearly Exact Mining of Frequent Trees in Large Networks Ashraf M. Kibriya, Jan Ramon

COLT 2012 Open Problem: Learning Dynamic Network Models from a Static Snapshot Jan Ramon, Constantin Comendant

MLJ 2011 Effective Feature Construction by Maximum Common Subgraph Sampling Leander Schietgat, Fabrizio Costa, Jan Ramon, Luc De Raedt

MLJ 2010 A Comparison of Pruning Criteria for Probability Trees Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

JMLR 2009 Polynomial-Delay Enumeration of Monotonic Graph Classes Jan Ramon, Siegfried Nijssen

AAAI 2008 Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls

ECML-PKDD 2008 Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth Tamás Horváth, Jan Ramon

MLJ 2008 Generalized Ordering-Search for Learning Directed Probabilistic Logical Models Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe

AAAI 2007 On Policy Learning in Restricted Policy Spaces Robby Goetschalckx, Jan Ramon

IJCAI 2007 Online Learning and Exploiting Relational Models in Reinforcement Learning Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

MLJ 2006 Graph Kernels and Gaussian Processes for Relational Reinforcement Learning Kurt Driessens, Jan Ramon, Thomas Gärtner

ECML-PKDD 2005 A Comparison of Approaches for Learning Probability Trees Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

MLJ 2004 Compact Representation of Knowledge Bases in Inductive Logic Programming Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel

ICML 2003 Relational Instance Based Regression for Relational Reinforcement Learning Kurt Driessens, Jan Ramon

JAIR 2002 Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele

ECML-PKDD 2001 Speeding up Relational Reinforcement Learning Through the Use of an Incremental First Order Decision Tree Learner Kurt Driessens, Jan Ramon, Hendrik Blockeel

ICML 1998 Top-Down Induction of Clustering Trees Hendrik Blockeel, Luc De Raedt, Jan Ramon