Sebastijan Dumancic

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 54

Top Topics

Logic Programming

Artificial Intelligence

Dissimilarity Measure

Statistical Relational

Top Venues

Publications

Tilman Hinnerichs, Robin Manhaeve, Giuseppe Marra, Sebastijan Dumancic
Towards a fully declarative neuro-symbolic language. CoRR (2024)
Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
From statistical relational to neurosymbolic artificial intelligence: A survey. Artif. Intell. 328 (2024)
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction. AAAI (2024)
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction. CoRR (2023)
Dirk van Bokkem, Max van den Hemel, Sebastijan Dumancic, Neil Yorke-Smith
Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation. AAAI (2023)
Jonas Witt, Stef Rasing, Sebastijan Dumancic, Tias Guns, Claus-Christian Carbon
A Divide-Align-Conquer Strategy for Program Synthesis. CoRR (2023)
Céline Hocquette, Sebastijan Dumancic, Andrew Cropper
Learning Logic Programs by Discovering Higher-Order Abstractions. CoRR (2023)
Andrew Cropper, Sebastijan Dumancic
Inductive Logic Programming At 30: A New Introduction. J. Artif. Intell. Res. 74 (2022)
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
SaDe: Learning Models that Provably Satisfy Domain Constraints. ECML/PKDD (5) (2022)
Andrew Cropper, Sebastijan Dumancic, Richard Evans, Stephen H. Muggleton
Inductive logic programming at 30. Mach. Learn. 111 (1) (2022)
Sebastijan Dumancic, Wannes Meert, Stijn Goethals, Tim Stuyckens, Jelle Huygen, Koen Denies
Automated Reasoning and Learning for Automated Payroll Management. AAAI (2021)
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
SaDe: Learning Models that Provably Satisfy Domain Constraints. CoRR (2021)
Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt
avatar - Automated Feature Wrangling for Machine Learning. IDA (2021)
Sebastijan Dumancic, Tias Guns, Andrew Cropper
Knowledge Refactoring for Inductive Program Synthesis. AAAI (2021)
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
Neural probabilistic logic programming in DeepProbLog. Artif. Intell. 298 (2021)
Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey. CoRR (2021)
Andrew Cropper, Sebastijan Dumancic, Richard Evans, Stephen H. Muggleton
Inductive logic programming at 30. CoRR (2021)
Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton
Turning 30: New Ideas in Inductive Logic Programming. CoRR (2020)
Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton
Turning 30: New Ideas in Inductive Logic Programming. IJCAI (2020)
Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. IJCAI (2020)
Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41 (4) (2020)
Andrew Cropper, Sebastijan Dumancic
Inductive logic programming at 30: a new introduction. CoRR (2020)
Jonas Soenen, Sebastijan Dumancic, Toon van Craenendonck, Hendrik Blockeel
Tackling Noise in Active Semi-supervised Clustering. ECML/PKDD (2) (2020)
Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. CoRR (2020)
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
Feature Interactions in XGBoost. CoRR (2020)
Sebastijan Dumancic, Andrew Cropper
Knowledge Refactoring for Program Induction. CoRR (2020)
Andrew Cropper, Sebastijan Dumancic
Learning Large Logic Programs By Going Beyond Entailment. IJCAI (2020)
Andrew Cropper, Sebastijan Dumancic
Learning large logic programs by going beyond entailment. CoRR (2020)
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
Learning Relational Representations with Auto-encoding Logic Programs. CoRR (2019)
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
DeepProbLog: Neural Probabilistic Logic Programming. BNAIC/BENELEARN (2019)
Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning. IJCAI (2019)
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
DeepProbLog: Neural Probabilistic Logic Programming. CoRR (2019)
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
Learning Relational Representations with Auto-encoding Logic Programs. IJCAI (2019)
Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig
Neuro-Symbolic = Neural + Logical + Probabilistic. NeSy@IJCAI (2019)
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
DeepProbLog: Neural Probabilistic Logic Programming. CoRR (2018)
Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
Interactive Time Series Clustering with COBRASTS. ECML/PKDD (3) (2018)
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
DeepProbLog: Neural Probabilistic Logic Programming. NeurIPS (2018)
Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series. CoRR (2018)
Alberto García-Durán, Sebastijan Dumancic, Mathias Niepert
Learning Sequence Encoders for Temporal Knowledge Graph Completion. CoRR (2018)
Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel
COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints. CoRR (2018)
Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
COBRASTS: A New Approach to Semi-supervised Clustering of Time Series. DS (2018)
Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert
On embeddings as an alternative paradigm for relational learning. CoRR (2018)
Alberto García-Durán, Sebastijan Dumancic, Mathias Niepert
Learning Sequence Encoders for Temporal Knowledge Graph Completion. EMNLP (2018)
Toon van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel
COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints. CoRR (2018)
Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel
COBRAS: Interactive Clustering with Pairwise Queries. IDA (2018)
Sebastijan Dumancic, Hendrik Blockeel
An expressive dissimilarity measure for relational clustering using neighbourhood trees. Mach. Learn. 106 (9-10) (2017)
Toon van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel
COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints. IJCAI (2017)
Sebastijan Dumancic, Hendrik Blockeel
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation. IJCAI (2017)
Sebastijan Dumancic, Hendrik Blockeel
Demystifying Relational Latent Representations. ILP (2017)
Sebastijan Dumancic, Hendrik Blockeel
Demystifying Relational Latent Representations. CoRR (2017)
Sebastijan Dumancic, Hendrik Blockeel
An expressive dissimilarity measure for relational clustering using neighbourhood trees. CoRR (2016)
Sebastijan Dumancic, Hendrik Blockeel
Unsupervised Relational Representation Learning via Clustering: Preliminary Results. CoRR (2016)
Sebastijan Dumancic, Wannes Meert, Hendrik Blockeel
Theory reconstruction: a representation learning view on predicate invention. CoRR (2016)
Sebastijan Dumancic, Hendrik Blockeel
An Efficient and Expressive Similarity Measure for Relational Clustering Using Neighbourhood Trees. ECAI (2016)