Sebastijan Dumancic

64 papers A* 14A 1B 4Journal 36Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Divide, Align and Conquer Strategy For Program Synthesis.
J. Artif. Intell. Res.
Jonas Witt, Sebastijan Dumancic, Tias Guns, Claus-Christian Carbon
2025 J jnl
Herb.jl: A Unifying Program Synthesis Library.
CoRR
Tilman Hinnerichs, Reuben Gardos Reid, Jaap de Jong, Bart Swinkels, Pamela Wochner, Nicolae Filat, Tudor Magurescu, Issa K. Hanou, Sebastijan Dumancic
2025 — conf
LTL-based Specifications for P4 Program Synthesis.
FMANO@SIGCOMM
Lorenzo Theunissen, Sebastijan Dumancic, Fernando Kuipers
2025 J jnl
Learning Logical Rules using Minimum Message Length.
CoRR
Ruben Sharma, Sebastijan Dumancic, Ross D. King, Andrew Cropper
2025 J jnl
Modelling Program Spaces in Program Synthesis with Constraints.
CoRR
Tilman Hinnerichs, Bart Swinkels, Jaap de Jong, Reuben Gardos Reid, Tudor Magirescu, Neil Yorke-Smith, Sebastijan Dumancic
2025 — ed.
Proceedings of the 1st International Workshop on Advanced Neuro-Symbolic Applications co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, October 26, 2025.
ANSyA@ECAI
Andrea Agiollo, Enkeleda Bardhi, Giovanni Ciatto, Sebastijan Dumancic, Giuseppe Marra
2025 J jnl
Revisiting Landmarks: Learning from Previous Plans to Generalize over Problem Instances.
CoRR
Issa K. Hanou, Sebastijan Dumancic, Mathijs de Weerdt
2024 — conf
Benchmarking in Neuro-Symbolic AI.
IJCLR
Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Singh Dhami, Michelangelo Diligenti, Sebastijan Dumancic, Boi Faltings, Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola, Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Salvatore Lorello, Emanuele Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi, Stefano Teso, Neil Yorke-Smith, Marco Lippi
2024 A* conf
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction.
AAAI
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
2024 J jnl
From statistical relational to neurosymbolic artificial intelligence: A survey.
Artif. Intell.
Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
2024 A* conf
Learning Logic Programs by Discovering Higher-Order Abstractions.
IJCAI
Céline Hocquette, Sebastijan Dumancic, Andrew Cropper
2024 J jnl
Towards a fully declarative neuro-symbolic language.
CoRR
Tilman Hinnerichs, Robin Manhaeve, Giuseppe Marra, Sebastijan Dumancic
2023 J jnl
A Divide-Align-Conquer Strategy for Program Synthesis.
CoRR
Jonas Witt, Stef Rasing, Sebastijan Dumancic, Tias Guns, Claus-Christian Carbon
2023 J jnl
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction.
CoRR
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
2023 A* conf
Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation.
AAAI
Dirk van Bokkem, Max van den Hemel, Sebastijan Dumancic, Neil Yorke-Smith
2023 J jnl
Learning Logic Programs by Discovering Higher-Order Abstractions.
CoRR
Céline Hocquette, Sebastijan Dumancic, Andrew Cropper
2022 J jnl
Inductive Logic Programming At 30: A New Introduction.
J. Artif. Intell. Res.
Andrew Cropper, Sebastijan Dumancic
2022 J jnl
Inductive logic programming at 30.
Mach. Learn.
Andrew Cropper, Sebastijan Dumancic, Richard Evans, Stephen H. Muggleton
2022 — conf
SaDe: Learning Models that Provably Satisfy Domain Constraints.
ECML/PKDD (5)
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
2021 A* conf
Automated Reasoning and Learning for Automated Payroll Management.
AAAI
Sebastijan Dumancic, Wannes Meert, Stijn Goethals, Tim Stuyckens, Jelle Huygen, Koen Denies
2021 J jnl
From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey.
CoRR
Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
2021 J jnl
Inductive logic programming at 30.
CoRR
Andrew Cropper, Sebastijan Dumancic, Richard Evans, Stephen H. Muggleton
2021 A* conf
Knowledge Refactoring for Inductive Program Synthesis.
AAAI
Sebastijan Dumancic, Tias Guns, Andrew Cropper
2021 J jnl
Neural probabilistic logic programming in DeepProbLog.
Artif. Intell.
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2021 — ch.
Neuro-Symbolic AI = Neural + Logical + Probabilistic AI.
Neuro-Symbolic Artificial Intelligence
Robin Manhaeve, Giuseppe Marra, Thomas Demeester, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt
2021 J jnl
SaDe: Learning Models that Provably Satisfy Domain Constraints.
CoRR
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
2021 B conf
avatar - Automated Feature Wrangling for Machine Learning.
IDA
Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt
2020 J jnl
Feature Interactions in XGBoost.
CoRR
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
2020 A* conf
From Statistical Relational to Neuro-Symbolic Artificial Intelligence.
IJCAI
Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
2020 J jnl
From Statistical Relational to Neuro-Symbolic Artificial Intelligence.
CoRR
Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
2020 J jnl
Inductive logic programming at 30: a new introduction.
CoRR
Andrew Cropper, Sebastijan Dumancic
2020 J jnl
Knowledge Refactoring for Program Induction.
CoRR
Sebastijan Dumancic, Andrew Cropper
2020 A* conf
Learning Large Logic Programs By Going Beyond Entailment.
IJCAI
Andrew Cropper, Sebastijan Dumancic
2020 J jnl
Learning large logic programs by going beyond entailment.
CoRR
Andrew Cropper, Sebastijan Dumancic
2020 — conf
Tackling Noise in Active Semi-supervised Clustering.
ECML/PKDD (2)
Jonas Soenen, Sebastijan Dumancic, Toon van Craenendonck, Hendrik Blockeel
2020 J jnl
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.
AI Mag.
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
2020 A* conf
Turning 30: New Ideas in Inductive Logic Programming.
IJCAI
Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton
2020 J jnl
Turning 30: New Ideas in Inductive Logic Programming.
CoRR
Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton
2019 A* conf
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning.
IJCAI
Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert
2019 — conf
DeepProbLog: Neural Probabilistic Logic Programming.
BNAIC/BENELEARN
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2019 J jnl
DeepProbLog: Neural Probabilistic Logic Programming.
CoRR
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2019 A* conf
Learning Relational Representations with Auto-encoding Logic Programs.
IJCAI
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
2019 J jnl
Learning Relational Representations with Auto-encoding Logic Programs.
CoRR
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
2019 — conf
Neuro-Symbolic = Neural + Logical + Probabilistic.
NeSy@IJCAI
Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig
2018 J jnl
COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints.
CoRR
Toon van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel
2018 J jnl
COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series.
CoRR
Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
2018 J jnl
COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints.
CoRR
Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel
2018 B conf
COBRAS: Interactive Clustering with Pairwise Queries.
IDA
Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel
2018 B conf
COBRASTS: A New Approach to Semi-supervised Clustering of Time Series.
DS
Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
2018 A* conf
DeepProbLog: Neural Probabilistic Logic Programming.
NeurIPS
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2018 J jnl
DeepProbLog: Neural Probabilistic Logic Programming.
CoRR
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2018 — conf
Interactive Time Series Clustering with COBRASTS.
ECML/PKDD (3)
Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
2018 A* conf
Learning Sequence Encoders for Temporal Knowledge Graph Completion.
EMNLP
Alberto García-Durán, Sebastijan Dumancic, Mathias Niepert
2018 J jnl
Learning Sequence Encoders for Temporal Knowledge Graph Completion.
CoRR
Alberto García-Durán, Sebastijan Dumancic, Mathias Niepert
2018 J jnl
On embeddings as an alternative paradigm for relational learning.
CoRR
Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert
2017 J jnl
An expressive dissimilarity measure for relational clustering using neighbourhood trees.
Mach. Learn.
Sebastijan Dumancic, Hendrik Blockeel
2017 A* conf
COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints.
IJCAI
Toon van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel
2017 A* conf
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation.
IJCAI
Sebastijan Dumancic, Hendrik Blockeel
2017 B conf
Demystifying Relational Latent Representations.
ILP
Sebastijan Dumancic, Hendrik Blockeel
2017 J jnl
Demystifying Relational Latent Representations.
CoRR
Sebastijan Dumancic, Hendrik Blockeel
2016 A conf
An Efficient and Expressive Similarity Measure for Relational Clustering Using Neighbourhood Trees.
ECAI
Sebastijan Dumancic, Hendrik Blockeel
2016 J jnl
An expressive dissimilarity measure for relational clustering using neighbourhood trees.
CoRR
Sebastijan Dumancic, Hendrik Blockeel
2016 J jnl
Theory reconstruction: a representation learning view on predicate invention.
CoRR
Sebastijan Dumancic, Wannes Meert, Hendrik Blockeel
2016 J jnl
Unsupervised Relational Representation Learning via Clustering: Preliminary Results.
CoRR
Sebastijan Dumancic, Hendrik Blockeel