An Efficient and Expressive Similarity Measure for Relational Clustering Using Neighbourhood Trees. - Sebastijan Dumancic; Hendrik Blockeel (ECAI, 2016)

Unsupervised Relational Representation Learning via Clustering: Preliminary Results. - Sebastijan Dumancic; Hendrik Blockeel (CoRR, 2016)

Theory reconstruction: a representation learning view on predicate invention. - Sebastijan Dumancic; Wannes Meert; Hendrik Blockeel (CoRR, 2016)

COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints. - Toon van Craenendonck; Sebastijan Dumancic; Hendrik Blockeel (IJCAI, 2017)

Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation. - Sebastijan Dumancic; Hendrik Blockeel (IJCAI, 2017)

Demystifying Relational Latent Representations. - Sebastijan Dumancic; Hendrik Blockeel (ILP, 2017)

An expressive dissimilarity measure for relational clustering using neighbourhood trees. - Sebastijan Dumancic; Hendrik Blockeel (Mach. Learn., 2017)

COBRASTS: A New Approach to Semi-supervised Clustering of Time Series. - Toon van Craenendonck; Wannes Meert; Sebastijan Dumancic; Hendrik Blockeel (DS, 2018)

Learning Sequence Encoders for Temporal Knowledge Graph Completion. - Alberto García-Durán; Sebastijan Dumancic; Mathias Niepert (EMNLP, 2018)

COBRAS: Interactive Clustering with Pairwise Queries. - Toon van Craenendonck; Sebastijan Dumancic; Elia Van Wolputte; Hendrik Blockeel (IDA, 2018)

DeepProbLog: Neural Probabilistic Logic Programming. - Robin Manhaeve; Sebastijan Dumancic; Angelika Kimmig; Thomas Demeester; Luc De Raedt (NeurIPS, 2018)

Interactive Time Series Clustering with COBRASTS. - Toon van Craenendonck; Wannes Meert; Sebastijan Dumancic; Hendrik Blockeel (ECML/PKDD (3), 2018)

COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints. - Toon van Craenendonck; Sebastijan Dumancic; Elia Van Wolputte; Hendrik Blockeel (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)

On embeddings as an alternative paradigm for relational learning. - Sebastijan Dumancic; Alberto García-Durán; Mathias Niepert (CoRR, 2018)

Learning Relational Representations with Auto-encoding Logic Programs. - Sebastijan Dumancic; Tias Guns; Wannes Meert; Hendrik Blockeel (IJCAI, 2019)

A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning. - Sebastijan Dumancic; Alberto García-Durán; Mathias Niepert (IJCAI, 2019)

Neuro-Symbolic = Neural + Logical + Probabilistic. - Luc De Raedt; Robin Manhaeve; Sebastijan Dumancic; Thomas Demeester; Angelika Kimmig (NeSy@IJCAI, 2019)

Learning Large Logic Programs By Going Beyond Entailment. - Andrew Cropper; Sebastijan Dumancic (IJCAI, 2020)

Turning 30: New Ideas in Inductive Logic Programming. - Andrew Cropper; Sebastijan Dumancic; Stephen H. Muggleton (IJCAI, 2020)

From Statistical Relational to Neuro-Symbolic Artificial Intelligence. - Luc De Raedt; Sebastijan Dumancic; Robin Manhaeve; Giuseppe Marra (IJCAI, 2020)

Tackling Noise in Active Semi-supervised Clustering. - Jonas Soenen; Sebastijan Dumancic; Toon van Craenendonck; Hendrik Blockeel (ECML/PKDD (2), 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; et al. (AI Mag., 2020)

Knowledge Refactoring for Program Induction. - Sebastijan Dumancic; Andrew Cropper (CoRR, 2020)

Feature Interactions in XGBoost. - Kshitij Goyal; Sebastijan Dumancic; Hendrik Blockeel (CoRR, 2020)

Knowledge Refactoring for Inductive Program Synthesis. - Sebastijan Dumancic; Tias Guns; Andrew Cropper (AAAI, 2021)

Automated Reasoning and Learning for Automated Payroll Management. - Sebastijan Dumancic; Wannes Meert; Stijn Goethals; Tim Stuyckens; Jelle Huygen; Koen Denies (AAAI, 2021)

avatar - Automated Feature Wrangling for Machine Learning. - Gust Verbruggen; Elia Van Wolputte; Sebastijan Dumancic; Luc De Raedt (IDA, 2021)

Neural probabilistic logic programming in DeepProbLog. - Robin Manhaeve; Sebastijan Dumancic; Angelika Kimmig; Thomas Demeester; Luc De Raedt (Artif. Intell., 2021)

From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey. - Giuseppe Marra; Sebastijan Dumancic; Robin Manhaeve; Luc De Raedt (CoRR, 2021)

Neuro-Symbolic AI = Neural + Logical + Probabilistic AI. - Robin Manhaeve; Giuseppe Marra; Thomas Demeester; Sebastijan Dumancic; Angelika Kimmig; Luc De Raedt (Neuro-Symbolic Artificial Intelligence, 2021)

SaDe: Learning Models that Provably Satisfy Domain Constraints. - Kshitij Goyal; Sebastijan Dumancic; Hendrik Blockeel (ECML/PKDD (5), 2022)

Inductive Logic Programming At 30: A New Introduction. - Andrew Cropper; Sebastijan Dumancic (J. Artif. Intell. Res., 2022)

Inductive logic programming at 30. - Andrew Cropper; Sebastijan Dumancic; Richard Evans 001; Stephen H. Muggleton (Mach. Learn., 2022)

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 (AAAI, 2023)

A Divide-Align-Conquer Strategy for Program Synthesis. - Jonas Witt; Stef Rasing; Sebastijan Dumancic; Tias Guns; Claus-Christian Carbon (CoRR, 2023)

DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction. - Kshitij Goyal; Sebastijan Dumancic; Hendrik Blockeel (AAAI, 2024)

Learning Logic Programs by Discovering Higher-Order Abstractions. - Céline Hocquette; Sebastijan Dumancic; Andrew Cropper (IJCAI, 2024)

Towards a fully declarative neuro-symbolic language. - Tilman Hinnerichs; Robin Manhaeve; Giuseppe Marra; Sebastijan Dumancic (CoRR, 2024)

From statistical relational to neurosymbolic artificial intelligence: A survey. - Giuseppe Marra; Sebastijan Dumancic; Robin Manhaeve; Luc De Raedt (Artif. Intell., 2024)

A Divide, Align and Conquer Strategy For Program Synthesis. - Jonas Witt; Sebastijan Dumancic; Tias Guns; Claus-Christian Carbon (J. Artif. Intell. Res., 2025)