Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Feature Interactions in XGBoost

Jul 11, 2020
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

* 7 pages, 2 Figures 

  Access Paper or Ask Questions

Knowledge Refactoring for Program Induction

Apr 21, 2020
Sebastijan Dumancic, Andrew Cropper

* 7 pages, 6 figures 

  Access Paper or Ask Questions

Learning Relational Representations with Auto-encoding Logic Programs

Mar 29, 2019
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel

* 8 pages,4 figures, submitted to IJCAI 

  Access Paper or Ask Questions

On embeddings as an alternative paradigm for relational learning

Jul 02, 2018
Sebastijan Dumancic, Alberto Garcia-Duran, Mathias Niepert

* StarAI workshop @ IJCAI 2018 

  Access Paper or Ask Questions

COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series

May 02, 2018
Toon Van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel

  Access Paper or Ask Questions

COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints

Jan 30, 2018
Toon Van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel

* Presented at IJCAI 2017 

  Access Paper or Ask Questions

Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation

Mar 08, 2017
Sebastijan Dumancic, Hendrik Blockeel

* 8 pages, 1 figure, 2 tables, StaRAI 2016 submission, final version 

  Access Paper or Ask Questions

An expressive dissimilarity measure for relational clustering using neighbourhood trees

Mar 07, 2017
Sebastijan Dumancic, Hendrik Blockeel

* 9 pages, 3 figures, 4 tables, submitted to ECMLPKDD 2017 

  Access Paper or Ask Questions

Theory reconstruction: a representation learning view on predicate invention

Jun 29, 2016
Sebastijan Dumancic, Wannes Meert, Hendrik Blockeel

* 3 pages, StaRAI 2016 submission 

  Access Paper or Ask Questions