Giuseppe Marra

According to our database, Giuseppe Marra authored at least 51 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From statistical relational to neurosymbolic artificial intelligence: A survey.

Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt

Artif. Intell., March, 2024

Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models.

Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich

CoRR, 2024

From Statistical Relational to Neuro-Symbolic Artificial Intelligence.

Giuseppe Marra

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

2023

T-norms driven loss functions for machine learning.

Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori, Giuseppe Marra

Appl. Intell., August, 2023

Relational Concept Based Models.

Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra

CoRR, 2023

Neural probabilistic logic programming in discrete-continuous domains.

Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Transforming Subsea Optical Cables into a Giant Network of Environmental Sensors.

Giuseppe Marra, D. M. Fairweather, V. Kamalov, P. Gaynor, Mattia Cantono, S. Mulholland, B. Baptie, J. C. Castellanos, G. Vagenas, J.-O. Gaudron, Jochen Kronjäger, I. R. Hill, M. Schioppo, I. Barbeito Edreira, K. A. Burrows, Cecilia Clivati, Davide Calonico, A. Curtis

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

Safe Reinforcement Learning via Probabilistic Logic Shields.

Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming.

Eleonora Misino, Giuseppe Marra, Emanuele Sansone

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Interpretable Neural-Symbolic Concept Reasoning.

Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

An Experimental Overview of Neural-Symbolic Systems.

Arne Vermeulen, Robin Manhaeve, Giuseppe Marra

Proceedings of the Inductive Logic Programming - 32nd International Conference, 2023

Enhancing Embedding Representations of Biomedical Data using Logic Knowledge.

Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani, Moreno Falaschi, Giuseppe Marra

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Deep Constraint-Based Propagation in Graph Neural Networks.

Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Concept Embedding Models.

Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Liò, Mateja Jamnik

CoRR, 2022

Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off.

Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Lió, Mateja Jamnik

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DeepStochLog: Neural Stochastic Logic Programming.

Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Robin Manhaeve, Giuseppe Marra, Thomas Demeester, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt

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

A Constraint-Based Approach to Learning and Reasoning.

Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini, Giuseppe Marra

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

Bridging symbolic and subsymbolic reasoning with minimax entropy models.

Giuseppe Marra

Intelligenza Artificiale, 2021

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

Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt

CoRR, 2021

Learning Representations for Sub-Symbolic Reasoning.

Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Maggini

CoRR, 2021

Neural markov logic networks.

Giuseppe Marra, Ondrej Kuzelka

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Approximate Inference for Neural Probabilistic Logic Programming.

Robin Manhaeve, Giuseppe Marra, Luc De Raedt

Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

Online Learning of non-Markovian Reward Models.

Gavin Rens, Jean-François Raskin, Raphaël Reynouard, Giuseppe Marra

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances.

Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini

IEEE Trans. Neural Networks Learn. Syst., 2020

Online Learning of Non-Markovian Reward Models.

Gavin Rens, Jean-François Raskin, Raphaël Reynouad, Giuseppe Marra

CoRR, 2020

Deep Lagrangian Constraint-based Propagation in Graph Neural Networks.

Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini

CoRR, 2020

Local Propagation in Constraint-based Neural Network.

Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori

CoRR, 2020

Temperature Sensing Characteristics and Long Term Stability of Power LEDs Used for Voltage vs. Junction Temperature Measurements and Related Procedure.

Francesco Giuseppe Della Corte, Giovanni Pangallo, Riccardo Carotenuto, Demetrio Iero, Giuseppe Marra, Massimo Merenda, Sandro Rao

IEEE Access, 2020

Local Propagation in Constraint-based Neural Networks.

Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

From Statistical Relational to Neuro-Symbolic Artificial Intelligence.

Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra

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

A Lagrangian Approach to Information Propagation in Graph Neural Networks.

Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Inference in relational neural machines.

Giuseppe Marra, Francesco Giannini, Lapo Faggi, Michelangelo Diligenti, Marco Gori, Marco Maggini

Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Relational Neural Machines.

Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Learning and T-Norms Theory.

Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori

CoRR, 2019

LYRICS: a General Interface Layer to Integrate AI and Deep Learning.

Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori

CoRR, 2019

Integrating Learning and Reasoning with Deep Logic Models.

Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning.

Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

On the Relation Between Loss Functions and T-Norms.

Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori

Proceedings of the Inductive Logic Programming - 29th International Conference, 2019

Constraint-Based Visual Generation.

Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Learning Activation Functions by Means of Kernel Based Neural Networks.

Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori

Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018

Backpropagation and Biological Plausibility.

Alessandro Betti, Marco Gori, Giuseppe Marra

CoRR, 2018

Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks.

Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori

CoRR, 2018

A Constrained-Based Approach to Machine Learning.

Alessandro Betti, Marco Gori, Giuseppe Marra

Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning.

Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2016

Information diffusion in a multi-social-network scenario: framework and ASP-based analysis.

Giuseppe Marra, Domenico Ursino, Francesco Ricca, Giorgio Terracina

Knowl. Inf. Syst., 2016

2014

Investigating Node Influence Maximization and Influential Node Characterization in a Multi-Social-Network Scenario via Disjunctive Logic Programming.

Giuseppe Marra, Antonino Nocera, Francesco Ricca, Giorgio Terracina, Domenico Ursino

Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Investigating Information Diffusion in a Multi-Social-Network Scenario via Answer Set Programming.

Giuseppe Marra, Antonino Nocera, Francesco Ricca, Giorgio Terracina, Domenico Ursino

Proceedings of the Web Reasoning and Rule Systems - 8th International Conference, 2014

Defining and Investigating the Scope of Users and Hashtags in Twitter - (Short Paper).

Daniel Leggio, Giuseppe Marra, Domenico Ursino

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014

Exploiting Answer Set Programming for Handling Information Diffusion in a Multi-Social-Network Scenario.

Giuseppe Marra, Francesco Ricca, Giorgio Terracina, Domenico Ursino

Proceedings of the Logics in Artificial Intelligence - 14th European Conference, 2014

2013

Transfer of optical frequency combs over optical fibre links.

Giuseppe Marra

PhD thesis, 2013