Sebastijan Dumancic

According to our database, Sebastijan Dumancic authored at least 39 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From statistical relational to neurosymbolic artificial intelligence: A survey.

Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt

Artif. Intell., March, 2024

DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction.

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Logic Programs by Discovering Higher-Order Abstractions.

Céline Hocquette, Sebastijan Dumancic, Andrew Cropper

CoRR, 2023

A Divide-Align-Conquer Strategy for Program Synthesis.

Jonas Witt, Stef Rasing, Sebastijan Dumancic, Tias Guns, Claus-Christian Carbon

CoRR, 2023

Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation.

Dirk van Bokkem, Max van den Hemel, Sebastijan Dumancic, Neil Yorke-Smith

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Inductive logic programming at 30.

Andrew Cropper, Sebastijan Dumancic, Richard Evans, Stephen H. Muggleton

Mach. Learn., 2022

Inductive Logic Programming At 30: A New Introduction.

Andrew Cropper, Sebastijan Dumancic

J. Artif. Intell. Res., 2022

SaDe: Learning Models that Provably Satisfy Domain Constraints.

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Neuro-Symbolic AI = Neural + Logical + Probabilistic AI.

Robin Manhaeve, Giuseppe Marra, Thomas Demeester, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt

Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey.

Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt

CoRR, 2021

Neural probabilistic logic programming in DeepProbLog.

Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt

Artif. Intell., 2021

avatar - Automated Feature Wrangling for Machine Learning.

Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Automated Reasoning and Learning for Automated Payroll Management.

Sebastijan Dumancic, Wannes Meert, Stijn Goethals, Tim Stuyckens, Jelle Huygen, Koen Denies

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge Refactoring for Inductive Program Synthesis.

Sebastijan Dumancic, Tias Guns, Andrew Cropper

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Feature Interactions in XGBoost.

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

CoRR, 2020

Knowledge Refactoring for Program Induction.

Sebastijan Dumancic, Andrew Cropper

CoRR, 2020

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.

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 A. 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

AI Mag., 2020

Tackling Noise in Active Semi-supervised Clustering.

Jonas Soenen, Sebastijan Dumancic, Toon van Craenendonck, Hendrik Blockeel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

From Statistical Relational to Neuro-Symbolic Artificial Intelligence.

Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Turning 30: New Ideas in Inductive Logic Programming.

Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Large Logic Programs By Going Beyond Entailment.

Andrew Cropper, Sebastijan Dumancic

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Neuro-Symbolic = Neural + Logical + Probabilistic.

Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig

Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning.

Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Relational Representations with Auto-encoding Logic Programs.

Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DeepProbLog: Neural Probabilistic Logic Programming.

Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

On embeddings as an alternative paradigm for relational learning.

Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert

CoRR, 2018

COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series.

Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel

CoRR, 2018

COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints.

Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel

CoRR, 2018

Interactive Time Series Clustering with COBRASTS.

Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

COBRAS: Interactive Clustering with Pairwise Queries.

Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Learning Sequence Encoders for Temporal Knowledge Graph Completion.

Alberto García-Durán, Sebastijan Dumancic, Mathias Niepert

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

COBRASTS: A New Approach to Semi-supervised Clustering of Time Series.

Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

An expressive dissimilarity measure for relational clustering using neighbourhood trees.

Sebastijan Dumancic, Hendrik Blockeel

Mach. Learn., 2017

Demystifying Relational Latent Representations.

Sebastijan Dumancic, Hendrik Blockeel

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation.

Sebastijan Dumancic, Hendrik Blockeel

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints.

Toon van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Theory reconstruction: a representation learning view on predicate invention.

Sebastijan Dumancic, Wannes Meert, Hendrik Blockeel

CoRR, 2016

Unsupervised Relational Representation Learning via Clustering: Preliminary Results.

Sebastijan Dumancic, Hendrik Blockeel

CoRR, 2016

An Efficient and Expressive Similarity Measure for Relational Clustering Using Neighbourhood Trees.

Sebastijan Dumancic, Hendrik Blockeel

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016