Publications

PhD Thesis

  • D. Nitti. Hybrid Probabilistic Logic Programming. 2016. PDF

Journal articles

  • D. Nitti, T. De Laet, L. De Raedt. Probabilistic logic programming for hybrid relational domains. Machine Learning, 103:3, pp. 307 - 449, Springer, 2016. PDF Video
  • D. Nitti, V. Belle, T. De Laet, L. De Raedt. Planning in Hybrid Relational MDPs. Machine Learning, Springer, (Under review).

Conference papers

  • D. Nitti, I. Ravkic, J. Davis, L. de Raedt. Learning the Structure of Dynamic Hybrid Relational Models. Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI 2016), pp. 1283 - 1290, 2016. PDF
  • D. Nitti, V. Belle, L. De Raedt. Planning in discrete and continuous Markov decision processes by probabilistic programming. Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2015), pp. 327 - 342, 2015. PDF Best Student Paper - Machine Learning Journal Award.
  • D. Nitti, T. De Laet, L. De Raedt. Relational object tracking and learning. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2014), pp. 935 - 942, 2014. PDF Video 1 Video 2
  • D. Nitti, T. De Laet, L. De Raedt. A particle filter for hybrid relational domains. Proceedings of the International Conference on Intelligent Robots and Systems (IROS 2013), pp. 2764 - 2771, 2013. PDF Video 1 Video 2

Workshop and position papers

  • D. Nitti, V. Belle, T. De Laet, L. De Raedt. Sample-based abstraction for hybrid relational MDPs. European Workshop on Reinforcement Learning (EWRL 2015), 2015. PDF
  • D. Nitti, G. Chliveros, L. De Raedt, M. Pateraki, M. Hourdakis, P. Trahanias. Application of dynamic distributional clauses for multi-hypothesis initialization in model-based object tracking. In 9th International Conference on Computer Vision Theory and Applications (VISAPP 2014), pp. 256 - 261, 2014. PDF
  • D. Nitti, T. De Laet, L. De Raedt. Distributional clauses particle filter. In Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), Lecture Notes in Computer Science , 8726:3, pp. 504 - 507, Springer Berlin Heidelberg, 2014. PDF