Discovering the World Through Unsupervised Statistical Relational Learning

Project Information

DISCWORLD

Grant agreement ID: 101149800

DOI

10.3030/101149800

EC signature date 15 July 2024

Start date 1 September 2024

End date 31 August 2026

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 177 322,08

Coordinated by

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Publications

Conference proceedings (2)

EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic

Author(s): Victor Verreet, Lennert De Smet, Luc De Raedt, Emanuele Sansone
Published in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Publisher: IOS Press
DOI: 10.3233/FAIA240634

Collapse-Proof Non-Contrastive Self-Supervised Learning

Author(s): Emanuele Sansone, Tim Lebailly, Tinne Tuytelaars
Published in: International Conference on Machine Learning, 2025
Publisher: PMLR
DOI: 10.48550/ARXIV.2410.04959

Peer reviewed articles (1)

Unifying Self-Supervised Clustering and Energy-Based Models

Author(s): Emanuele Sansone, Robin Manhaeve
Published in: Transactions of Machine Learning Research, 2025, ISSN 2835-8856
Publisher: OpenReview
DOI: 10.48550/ARXIV.2401.00873