Giuseppe Marra

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 67

Top Venues

University of Southampton, UK (PHD)

Education History

University of Southampton, UK

PHD

Publications

Giuseppe Marra
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. AAAI (2024)
Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning. CoRR (2024)
Tilman Hinnerichs, Robin Manhaeve, Giuseppe Marra, Sebastijan Dumancic
Towards a fully declarative neuro-symbolic language. CoRR (2024)
Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
From statistical relational to neurosymbolic artificial intelligence: A survey. Artif. Intell. 328 (2024)
Adem Kikaj, Giuseppe Marra, Luc De Raedt
Subgraph Mining for Graph Neural Networks. IDA (1) (2024)
David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
Interpretable Concept-Based Memory Reasoning. CoRR (2024)
Peter Jung, Giuseppe Marra, Ondrej Kuzelka
Quantified neural Markov logic networks. Int. J. Approx. Reason. 171 (2024)
Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. CoRR (2024)
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
Interpretable Neural-Symbolic Concept Reasoning. CoRR (2023)
Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt
Neural Probabilistic Logic Programming in Discrete-Continuous Domains. CoRR (2023)
Eleonora Misino, Giuseppe Marra, Emanuele Sansone
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. NeSy (2023)
Arne Vermeulen, Robin Manhaeve, Giuseppe Marra
An Experimental Overview of Neural-Symbolic Systems. ILP (2023)
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
Interpretable Neural-Symbolic Concept Reasoning. ICML (2023)
Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori, Giuseppe Marra
T-norms driven loss functions for machine learning. Appl. Intell. 53 (15) (2023)
Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt
Neural probabilistic logic programming in discrete-continuous domains. UAI (2023)
Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt
Safe Reinforcement Learning via Probabilistic Logic Shields. NeSy (2023)
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
Interpretable Neural-Symbolic Concept Reasoning. NeSy (2023)
Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani, Moreno Falaschi, Giuseppe Marra
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. IJCNN (2023)
Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt
Safe Reinforcement Learning via Probabilistic Logic Shields. IJCAI (2023)
Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt
Safe Reinforcement Learning via Probabilistic Logic Shields. CoRR (2023)
Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
Relational Concept Based Models. CoRR (2023)
Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani, Moreno Falaschi, Giuseppe Marra
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. CoRR (2023)
Giuseppe Marra, D. M. Fairweather, V. Kamalov, P. Gaynor, M. Cantono, S. Mulholland, B. Baptie, J. C. Castellanos, G. Vagenas, J.-O. Gaudron, J. Kronjäger, I. R. Hill, M. Schioppo, I. Barbeito Edreira, K. A. Burrows, Cecilia Clivati, Davide Calonico, A. Curtis
Transforming Subsea Optical Cables into a Giant Network of Environmental Sensors. OFC (2023)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini
Deep Constraint-Based Propagation in Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Eleonora Misino, Giuseppe Marra, Emanuele Sansone
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. CoRR (2022)
Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
DeepStochLog: Neural Stochastic Logic Programming. AAAI (2022)
Eleonora Misino, Giuseppe Marra, Emanuele Sansone
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. NeurIPS (2022)
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
Concept Embedding Models. CoRR (2022)
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
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS (2022)
Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
DeepStochLog: Neural Stochastic Logic Programming. CoRR (2021)
Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Maggini
Learning Representations for Sub-Symbolic Reasoning. CoRR (2021)
Robin Manhaeve, Giuseppe Marra, Luc De Raedt
Approximate Inference for Neural Probabilistic Logic Programming. KR (2021)
Giuseppe Marra
Bridging symbolic and subsymbolic reasoning with minimax entropy models. Intelligenza Artificiale 15 (2) (2021)
Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey. CoRR (2021)
Giuseppe Marra, Ondrej Kuzelka
Neural markov logic networks. UAI (2021)
Gavin Rens, Jean-François Raskin, Raphaël Reynouard, Giuseppe Marra
Online Learning of non-Markovian Reward Models. ICAART (2) (2021)
Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
Local Propagation in Constraint-based Neural Network. CoRR (2020)
Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini
Relational Neural Machines. CoRR (2020)
Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. IJCAI (2020)
Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
Local Propagation in Constraint-based Neural Networks. IJCNN (2020)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini
Deep Lagrangian Constraint-based Propagation in Graph Neural Networks. CoRR (2020)
Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini
Relational Neural Machines. ECAI (2020)
Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. CoRR (2020)
Gavin Rens, Jean-François Raskin, Raphaël Reynouad, Giuseppe Marra
Online Learning of Non-Markovian Reward Models. CoRR (2020)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori
A Lagrangian Approach to Information Propagation in Graph Neural Networks. ECAI (2020)
Giuseppe Marra, Francesco Giannini, Lapo Faggi, Michelangelo Diligenti, Marco Gori, Marco Maggini
Inference in relational neural machines. NeHuAI@ECAI (2020)
Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori
A Lagrangian Approach to Information Propagation in Graph Neural Networks. CoRR (2020)
Francesco Giuseppe Della Corte, Giovanni Pangallo, Riccardo Carotenuto, Demetrio Iero, Giuseppe Marra, Massimo Merenda, Sandro Rao
Temperature Sensing Characteristics and Long Term Stability of Power LEDs Used for Voltage vs. Junction Temperature Measurements and Related Procedure. IEEE Access 8 (2020)
Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. CoRR (2019)
Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori
On the Relation Between Loss Functions and T-Norms. ILP (2019)
Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
LYRICS: a General Interface Layer to Integrate AI and Deep Learning. CoRR (2019)
Giuseppe Marra, Ondrej Kuzelka
Neural Markov Logic Networks. CoRR (2019)
Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori
Learning Activation Functions by Means of Kernel Based Neural Networks. AI*IA (2019)
Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning. ECML/PKDD (2) (2019)
Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. CoRR (2019)
Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
Constraint-Based Visual Generation. ICANN (3) (2019)
Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
Integrating Learning and Reasoning with Deep Logic Models. ECML/PKDD (2) (2019)
Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori
Learning and T-Norms Theory. CoRR (2019)
Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
Integrating Learning and Reasoning with Deep Logic Models. CoRR (2019)
Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori
On the relation between Loss Functions and T-Norms. CoRR (2019)
Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. ICANN (3) (2018)
Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori
Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks. CoRR (2018)
Alessandro Betti, Marco Gori, Giuseppe Marra
A Constrained-Based Approach to Machine Learning. SITIS (2018)
Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
Constraint-Based Visual Generation. CoRR (2018)
Alessandro Betti, Marco Gori, Giuseppe Marra
Backpropagation and Biological Plausibility. CoRR (2018)
Giuseppe Marra, Domenico Ursino, Francesco Ricca, Giorgio Terracina
Information diffusion in a multi-social-network scenario: framework and ASP-based analysis. Knowl. Inf. Syst. 48 (3) (2016)
Daniel Leggio, Giuseppe Marra, Domenico Ursino
Defining and Investigating the Scope of Users and Hashtags in Twitter - (Short Paper). OTM Conferences (2014)
Giuseppe Marra, Francesco Ricca, Giorgio Terracina, Domenico Ursino
Exploiting Answer Set Programming for Handling Information Diffusion in a Multi-Social-Network Scenario. JELIA (2014)
Giuseppe Marra, Antonino Nocera, Francesco Ricca, Giorgio Terracina, Domenico Ursino
Investigating Node Influence Maximization and Influential Node Characterization in a Multi-Social-Network Scenario via Disjunctive Logic Programming. SEBD (2014)
Giuseppe Marra, Antonino Nocera, Francesco Ricca, Giorgio Terracina, Domenico Ursino
Investigating Information Diffusion in a Multi-Social-Network Scenario via Answer Set Programming. RR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Giuseppe Marra