Learning with Multiple Representations

Informazioni relative al progetto

LEMUR

ID dell’accordo di sovvenzione: 101073307

DOI

10.3030/101073307

Data della firma CE 6 Luglio 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 2 592 784,80

Coordinato da

UNIVERSITAET PADERBORN
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Websites, patent fillings, videos etc. (1)

Online presence

Implemented web presence, which will be updated throughout the project.

Documents, reports (1)

Report on project setup

Report describing the appointed members of all boards of the network, ethics advisors, data and ethics requirements, as well as software and hardware resources.

Pubblicazioni

Conference proceedings (16)

DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs

Autori: Jiao, Ying; Castellano Ontiveros, Rodrigo; De Raedt, Luc; Gori, Marco; Giannini, Francesco; Diligenti, Michelangelo; Marra, Giuseppe
Editore: Proceedings of the AAAI Conference on Artificial Intelligence

Distilling KGE black boxes into interpretable NeSy models

Autori: Castellano Ontiveros, Rodrigo; Giannini, Francesco; Diligenti, Michelangelo
Pubblicato in: 19th International Conference on Neurosymbolic Learning and Reasoning
Editore: Proceedings of Machine Learning Research vol 284

Semantics-Aware Caching for Concept Learning

Autori: Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web, 2026
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-25156-5_26

Investigating the Robustness of Deductive Reasoning with Large Language Models

Autori: Fabian Hoppe, Filip Ilievski, Jan-Christoph Kalo
Pubblicato in: Frontiers in Artificial Intelligence and Applications, ECAI 2025, 2025
Editore: IOS Press
DOI: 10.3233/FAIA251007

Interpretable Link Prediction via Neural-Symbolic Reasoning

Autori: Rodrigo Castellano Ontiveros; Ehsan Bonabi Mobaraki; Francesco Giannini; Pietro Barbiero; Marco Gori; Michelangelo Diligenti
Pubblicato in: Ontiveros, R C, Mobaraki, E, Giannini, F, Barbiero, P, Gori, M & Diligenti, M 2025, Interpretable Link Prediction via Neural-Symbolic Reasoning. in R Guidotti, U Schmid & L Longo (eds), Explainable Artificial Intelligence : Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025, Proceedings, Part II. Springer, Communications in Computer and Information Science, vol. 2577, pp. 319-331, World Conference on Explainable Artificial Intelligence, Lisbon, Portugal, 26/07/2025. https://doi.org/10.1007/978-3-032-08324-1_14, 2025
DOI: 10.1007/978-3-032-08324-1_14

Conformal Prediction without Nonconformity Scores

Autori: Jonas Hanselle, Alireza Javanmardi, Tobias Florin Oberkofler, Yusuf Sale, Eyke Hüllermeier
Editore: PMLR

DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs

Autori: Ying Jiao, Rodrigo Castellano Ontiveros, Luc De Raedt, Marco Gori, Francesco Giannini, Michelangelo Diligenti, Giuseppe Marra
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 40, 2026, ISSN 2374-3468
Editore: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V40I27.39396

Incorporating Cognitive Complexity of Text in Dense Retrieval for Personalized Search

Autori: E. Sokli, A. Raganato and G. Pasi
Pubblicato in: Proceedings of the Italian Information Retrieval Workshop 2024, 2024
Editore: CEUR Workshop Proceedings

Visualizing and Improving 3D Mesh Segmentation with DeepView

Autori: Andreas Mazur, Isaac Roberts, David Leins, Alexander Schulz, Barbara Hammer
Pubblicato in: ESANN 2024 proceesdings, 2024
Editore: Ciaco - i6doc.com
DOI: 10.14428/ESANN/2024.ES2024-135

Grounding Methods for Neural-Symbolic AI

Autori: Castellano Ontiveros, Rodrigo; Giannini, Francesco; Gori, Marco; Marra, Giuseppe; Diligenti, Michelangelo
Pubblicato in: Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence, 2024
DOI: 10.24963/IJCAI.2025/535

Valid Text-to-SQL Generation with Unification-Based DeepStochLog

Autori: Ying Jiao, Luc De Raedt, Giuseppe Marra
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-71167-1_17

Relatively Rational: Learning Utilities and Rationalities Jointly from Pairwise Preferences

Autori: Taku Yamagata, Tobias Oberkofler, Timo Kaufmann, Viktor Bengs, Eyke Hüllermeier, Raul Santos-Rodriguez
Editore: ICML 2024 Workshop on Models of Human Feedback for AI Alignment

Neural Reasoning for Robust Instance Retrieval in SHOIQ

Autori: Louis Mozart Kamdem Teyou, Luke Friedrichs, N'Dah Jean Kouagou, Caglar Demir, Yasir Mahmood, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo
Editore: Association for Computing Machinery, New York, United States
DOI: 10.1145/3731443.377134

Leveraging Cognitive Complexity of Texts for Contextualization in Dense Retrieval

Autori: Effrosyni Sokli, Georgios Peikos, Pranav Kasela, Gabriella Pasi
Pubblicato in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2025.EMNLP-MAIN.1377

Embedding Knowledge Graphs in Degenerate Clifford Algebras

Autori: Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Pubblicato in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Editore: IOS Press
DOI: 10.3233/FAIA240627

Embedding Knowledge Graphs in Function Spaces

Autori: Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Pubblicato in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Editore: ACM
DOI: 10.1145/3627673.3679819

Other (1)

Targeted Visualization of the Backbone of Encoder LLMs

Autori: Isaac Roberts and Alexander Schulz and Luca Hermes and Barbara Hammer
Editore: arXiv
DOI: 10.48550/ARXIV.2403.18872