Sebastijan Dumancic

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction.

[BibT_eX]

[DOI]

Kshitij Goyal

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

2023

A Divide-Align-Conquer Strategy for Program Synthesis.

[BibT_eX]

[DOI]

Claus-Christian Carbon

CoRR, 2023

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

[BibT_eX]

[DOI]

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

2022

Inductive logic programming at 30.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Inductive Logic Programming At 30: A New Introduction.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2022

SaDe: Learning Models that Provably Satisfy Domain Constraints.

[BibT_eX]

[DOI]

Kshitij Goyal

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

2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, 2021

Neural probabilistic logic programming in DeepProbLog.

[BibT_eX]

[DOI]

Artif. Intell., 2021

avatar - Automated Feature Wrangling for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Automated Reasoning and Learning for Automated Payroll Management.

[BibT_eX]

[DOI]

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

Knowledge Refactoring for Inductive Program Synthesis.

[BibT_eX]

[DOI]

Tias Guns

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

2020

Feature Interactions in XGBoost.

[BibT_eX]

[DOI]

Kshitij Goyal

CoRR, 2020

Knowledge Refactoring for Program Induction.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

AI Mag., 2020

Tackling Noise in Active Semi-supervised Clustering.

[BibT_eX]

[DOI]

Jonas Soenen

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

From Statistical Relational to Neuro-Symbolic Artificial Intelligence.

[BibT_eX]

[DOI]

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

Turning 30: New Ideas in Inductive Logic Programming.

[BibT_eX]

[DOI]

Stephen H. Muggleton

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

Learning Large Logic Programs By Going Beyond Entailment.

[BibT_eX]

[DOI]

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

2019

Neuro-Symbolic = Neural + Logical + Probabilistic.

[BibT_eX]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

On embeddings as an alternative paradigm for relational learning.

[BibT_eX]

[DOI]

Alberto García-Durán

Mathias Niepert

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Elia Van Wolputte

CoRR, 2018

Interactive Time Series Clustering with COBRASTS.

[BibT_eX]

[DOI]

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

DeepProbLog: Neural Probabilistic Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

COBRAS: Interactive Clustering with Pairwise Queries.

[BibT_eX]

[DOI]

Elia Van Wolputte

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Learning Sequence Encoders for Temporal Knowledge Graph Completion.

[BibT_eX]

[DOI]

Alberto García-Durán

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.

[BibT_eX]

[DOI]

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

2017

An expressive dissimilarity measure for relational clustering using neighbourhood trees.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Demystifying Relational Latent Representations.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2016

Theory reconstruction: a representation learning view on predicate invention.

[BibT_eX]

[DOI]

CoRR, 2016

Unsupervised Relational Representation Learning via Clustering: Preliminary Results.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]