Department of Computer Science, KU Leuven
3001 Heverlee, Belgium
My research focus is on machine learning models that learn useful abstractions of rich and complex relational data in a declarative manner by combining statistical relational learning (SRL) and deep learning. SRL models are a powerful class of machine learning models that rely on expressive knowledge representation formats of logic and statistics to express a very wide range of machine learning models, not limited to vectors and matrices. That expressivity comes at high cost of learning and inference - reusable abstractions can help us tame this complexity!
In 2014, I have received my M.Sc. from the University of Zagreb. I have spend the academic year of 2013-2014 as an Erasmus exchange student at KU Leuven. Between 2012 and 2013, I did interships at Ericsson Nikola Tesla and Department of Knowledge Technologies at the Jožef Stefan Institute.
|Jun 5, 2020||A paper on tackling noise in semi-supervised clustering accepted to ECML 2020 in Ghent, Belgium.|
|Apr 28, 2020||Three papers accepted at IJCAI 2020 in Kyoto, Japan.|
|Dec 18, 2019||Luc, Angelika and I have been awarded an FWO-funded project to continue our work on DeepProblog.|
|Sep 24, 2019||I’m speaking at the Decision Analytics Closing Symposium about constraint solving with Z3.|
|Sep 12, 2019||I’m speaking at the Aritificial Intelligence Applied in Industry symposium about our work with Skyline Communications|
|Aug 13, 2019||I’m honoured that my PhD thesis has been awarded a honourable mention for the EurAI Distinguished Dissertation Award 2018!|
|Jun 21, 2019||I’m honoured to be among the Distinguished Program Committee at IJCAI 2019!|
|May 9, 2019||Two papers accepted at IJCAI 2019: Learning Relational Representations with Auto-encoding Logic Programs and A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning!|