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.
|Sep 24, 2019||I’m speaking at the Decision Analytics Closing Synmposium 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!|
|Nov 22, 2018||We are organising a mini-symposium on Deep learning for complex relational data on the occasion of my public PhD defence on December 11|
|Sep 5, 2018||The paper DeepProbLog: Neural Probabilistic Logic Programming accepted at NIPS!|
|Aug 10, 2018||The paper Learning Sequence Encoders for Temporal Knowledge Graph Completion accepted at EMNLP in Brussels, Belgium!|