< Back to previous page
Researcher
Sebastijan Dumancic
- Disciplines:Artificial intelligence
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → 20 Aug 2021 - Informatics Section (Division)
Member
From1 Oct 2014 → 4 Aug 2020
Projects
1 - 3 of 3
- Neural Probabilistic Logic ProgrammingFrom1 Jan 2020 → 31 Dec 2023Funding: FWO research project (including WEAVE projects)
- Towards adversarial learning principles in statistical relational artificial intelligenceFrom1 Oct 2019 → 20 Aug 2021Funding: FWO fellowships
- Learning Symbolic Latent Representations for Relational DataFrom2 Sep 2014 → 11 Dec 2018Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 27
- Inductive Logic Programming At 30: A New Introduction(2022)
Authors: Sebastijan Dumancic
Pages: 765 - 850 - Neural probabilistic logic programming in DeepProbLog(2021)
Authors: Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt
- Tackling noise in active semi-supervised clustering(2021)
Authors: Jonas Soenen, Sebastijan Dumancic, Hendrik Blockeel
Pages: 121 - 136 - Knowledge Refactoring for Inductive Program Synthesis(2021)
Authors: Sebastijan Dumancic, Tias Guns
Pages: 7271 - 7278 - AVATAR — Automated feature wrangling for machine learning(2021)
Authors: Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt
Pages: 235 - 247 - Automated reasoning and learning for automated payroll management(2021)
Authors: Sebastijan Dumancic, Wannes Meert
Pages: 15107 - 15116 - Learning Large Logic Programs By Going Beyond Entailment(2020)
Authors: Sebastijan Dumancic
Pages: 2073 - 2079Number of pages: 7 - From Statistical Relational to Neuro-Symbolic Artificial Intelligence(2020)
Authors: Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
Pages: 4943 - 4950 - Turning 30: New Ideas in Inductive Logic Programming(2020)
Authors: Sebastijan Dumancic
Pages: 4833 - 4839Number of pages: 7 - A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning(2019)
Authors: Sebastijan Dumancic
Pages: 6088 - 6094Number of pages: 7