Giuseppe Marra

102 papers A* 16A 5B 5C 3Journal 53Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Actionable Interpretability Must Be Defined in Terms of Symmetries. CoRR Pietro Barbiero, Mateo Espinosa Zarlenga, Francesco Giannini, Alberto Termine, Filippo Bonchi, Mateja Jamnik, Giuseppe Marra
2026	A*	`conf`	DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs. AAAI Ying Jiao, Rodrigo Castellano Ontiveros, Luc De Raedt, Marco Gori, Francesco Giannini, Michelangelo Diligenti, Giuseppe Marra
2026	J	`jnl`	Interpretability in Deep Time Series Models Demands Semantic Alignment. CoRR Giovanni de Felice, Riccardo D'Elia, Alberto Termine, Pietro Barbiero, Giuseppe Marra, Silvia Santini
2025	—	`conf`	A Learning and Reasoning Manifesto. Challenges and Algorithms for Knowledge Discovery from Data Luc De Raedt, Fredrik Heintz, Kristian Kersting, Giuseppe Marra
2025	A*	`conf`	Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. ICLR Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2025	A*	`conf`	Counterfactual Concept Bottleneck Models. ICLR Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2025	A	`conf`	DEEPGRAPHLOG for Layered Neurosymbolic AI. ECAI Adem Kikaj, Giuseppe Marra, Floris Geerts, Robin Manhaeve, Luc De Raedt
2025	J	`jnl`	DeepGraphLog for Layered Neurosymbolic AI. CoRR Adem Kikaj, Giuseppe Marra, Floris Geerts, Robin Manhaeve, Luc De Raedt
2025	J	`jnl`	DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs. CoRR Ying Jiao, Rodrigo Castellano Ontiveros, Luc De Raedt, Marco Gori, Francesco Giannini, Michelangelo Diligenti, Giuseppe Marra
2025	J	`jnl`	Foundations of Interpretable Models. CoRR Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Mateja Jamnik, Giuseppe Marra
2025	A*	`conf`	Grounding Methods for Neural-Symbolic AI. IJCAI Rodrigo Castellano Ontiveros, Francesco Giannini, Marco Gori, Giuseppe Marra, Michelangelo Diligenti
2025	J	`jnl`	Grounding Methods for Neural-Symbolic AI. CoRR Rodrigo Castellano Ontiveros, Francesco Giannini, Marco Gori, Giuseppe Marra, Michelangelo Diligenti
2025	J	`jnl`	Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning. CoRR David Debot, Pietro Barbiero, Gabriele Dominici, Giuseppe Marra
2025	J	`jnl`	Neural Interpretable Reasoning. CoRR Pietro Barbiero, Giuseppe Marra, Gabriele Ciravegna, David Debot, Francesco De Santis, Michelangelo Diligenti, Mateo Espinosa Zarlenga, Francesco Giannini
2025	J	`jnl`	Neurosymbolic Object-Centric Learning with Distant Supervision. CoRR Stefano Colamonaco, David Debot, Giuseppe Marra
2025	A*	`conf`	Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields. AAAI David Debot, Gabriele Venturato, Giuseppe Marra, Luc De Raedt
2025	—	`ed.`	Proceedings of the 1st International Workshop on Advanced Neuro-Symbolic Applications co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, October 26, 2025. ANSyA@ECAI Andrea Agiollo, Enkeleda Bardhi, Giovanni Ciatto, Sebastijan Dumancic, Giuseppe Marra
2025	J	`jnl`	Quantifying the Accuracy-Interpretability Trade-Off in Concept-Based Sidechannel Models. CoRR David Debot, Giuseppe Marra
2025	A*	`conf`	Relational Neurosymbolic Markov Models. AAAI Lennert De Smet, Gabriele Venturato, Luc De Raedt, Giuseppe Marra
2025	J	`jnl`	Relational reasoning networks. Knowl. Based Syst. Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini
2025	J	`jnl`	The DeepLog Neurosymbolic Machine. CoRR Vincent Derkinderen, Robin Manhaeve, Rik Adriaensen, Lucas Van Praet, Lennert De Smet, Giuseppe Marra, Luc De Raedt
2025	J	`jnl`	Valid Text-to-SQL Generation with Unification-based DeepStochLog. CoRR Ying Jiao, Luc De Raedt, Giuseppe Marra
2024	J	`jnl`	Aligning Generalisation Between Humans and Machines. CoRR Filip Ilievski, Barbara Hammer, Frank van Harmelen, Benjamin Paassen, Sascha Saralajew, Ute Schmid, Michael Biehl, Marianna Bolognesi, Xin Luna Dong, Kiril Gashteovski, Pascal Hitzler, Giuseppe Marra, Pasquale Minervini, Martin Mundt, Axel-Cyrille Ngonga Ngomo, Alessandro Oltramari, Gabriella Pasi, Zeynep G. Saribatur, Luciano Serafini, John Shawe-Taylor, Vered Shwartz, Gabriella Skitalinskaya, Clemens Stachl, Gido M. van de Ven, Thomas Villmann
2024	J	`jnl`	Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning. CoRR Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2024	J	`jnl`	Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. CoRR Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2024	A*	`conf`	From Statistical Relational to Neuro-Symbolic Artificial Intelligence. AAAI Giuseppe Marra
2024	J	`jnl`	From statistical relational to neurosymbolic artificial intelligence: A survey. Artif. Intell. Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
2024	—	`conf`	Integrating Local and Global Interpretability for Deep Concept-Based Reasoning Models. ECCV Workshops (21) David Debot, Giuseppe Marra
2024	A*	`conf`	Interpretable Concept-Based Memory Reasoning. NeurIPS David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2024	J	`jnl`	Interpretable Concept-Based Memory Reasoning. CoRR David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2024	J	`jnl`	Quantified neural Markov logic networks. Int. J. Approx. Reason. Peter Jung, Giuseppe Marra, Ondrej Kuzelka
2024	A*	`conf`	Relational Concept Bottleneck Models. NeurIPS Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2024	J	`jnl`	Relational Neurosymbolic Markov Models. CoRR Lennert De Smet, Gabriele Venturato, Luc De Raedt, Giuseppe Marra
2024	—	`conf`	Subgraph Mining for Graph Neural Networks. IDA (1) Adem Kikaj, Giuseppe Marra, Luc De Raedt
2024	J	`jnl`	Towards a fully declarative neuro-symbolic language. CoRR Tilman Hinnerichs, Robin Manhaeve, Giuseppe Marra, Sebastijan Dumancic
2024	—	`conf`	Valid Text-to-SQL Generation with Unification-Based DeepStochLog. NeSy (1) Ying Jiao, Luc De Raedt, Giuseppe Marra
2023	B	`conf`	An Experimental Overview of Neural-Symbolic Systems. ILP Arne Vermeulen, Robin Manhaeve, Giuseppe Marra
2023	B	`conf`	Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. IJCNN Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani, Moreno Falaschi, Giuseppe Marra
2023	J	`jnl`	Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. CoRR Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani, Moreno Falaschi, Giuseppe Marra
2023	A*	`conf`	Interpretable Neural-Symbolic Concept Reasoning. ICML Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023	C	`conf`	Interpretable Neural-Symbolic Concept Reasoning. NeSy Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023	J	`jnl`	Interpretable Neural-Symbolic Concept Reasoning. CoRR Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023	J	`jnl`	Neural Probabilistic Logic Programming in Discrete-Continuous Domains. CoRR Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt
2023	A	`conf`	Neural probabilistic logic programming in discrete-continuous domains. UAI Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt
2023	J	`jnl`	Relational Concept Based Models. CoRR Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2023	A*	`conf`	Safe Reinforcement Learning via Probabilistic Logic Shields. IJCAI Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt
2023	C	`conf`	Safe Reinforcement Learning via Probabilistic Logic Shields. NeSy Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt
2023	J	`jnl`	Safe Reinforcement Learning via Probabilistic Logic Shields. CoRR Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt
2023	J	`jnl`	T-norms driven loss functions for machine learning. Appl. Intell. Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori, Giuseppe Marra
2023	—	`conf`	Transforming Subsea Optical Cables into a Giant Network of Environmental Sensors. OFC Giuseppe Marra, D. M. Fairweather, Valey Kamalov, P. Gaynor, Mattia Cantono, S. Mulholland, Brian 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, Andrew Curtis
2023	C	`conf`	VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. NeSy Eleonora Misino, Giuseppe Marra, Emanuele Sansone
2022	J	`jnl`	Concept Embedding Models. CoRR 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
2022	A*	`conf`	Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS 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
2022	J	`jnl`	Deep Constraint-Based Propagation in Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini
2022	A*	`conf`	DeepStochLog: Neural Stochastic Logic Programming. AAAI Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
2022	A*	`conf`	VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. NeurIPS Eleonora Misino, Giuseppe Marra, Emanuele Sansone
2022	J	`jnl`	VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. CoRR Eleonora Misino, Giuseppe Marra, Emanuele Sansone
2021	—	`ch.`	A Constraint-Based Approach to Learning and Reasoning. Neuro-Symbolic Artificial Intelligence Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini, Giuseppe Marra
2021	A*	`conf`	Approximate Inference for Neural Probabilistic Logic Programming. KR Robin Manhaeve, Giuseppe Marra, Luc De Raedt
2021	J	`jnl`	Bridging symbolic and subsymbolic reasoning with minimax entropy models. Intelligenza Artificiale Giuseppe Marra
2021	J	`jnl`	DeepStochLog: Neural Stochastic Logic Programming. CoRR Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
2021	J	`jnl`	From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey. CoRR Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
2021	J	`jnl`	Learning Representations for Sub-Symbolic Reasoning. CoRR Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Maggini
2021	A	`conf`	Neural markov logic networks. UAI Giuseppe Marra, Ondrej Kuzelka
2021	—	`ch.`	Neuro-Symbolic AI = Neural + Logical + Probabilistic AI. Neuro-Symbolic Artificial Intelligence Robin Manhaeve, Giuseppe Marra, Thomas Demeester, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt
2021	—	`conf`	Online Learning of non-Markovian Reward Models. ICAART (2) Gavin Rens, Jean-François Raskin, Raphaël Reynouard, Giuseppe Marra
2020	A	`conf`	A Lagrangian Approach to Information Propagation in Graph Neural Networks. ECAI Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori
2020	J	`jnl`	A Lagrangian Approach to Information Propagation in Graph Neural Networks. CoRR Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori
2020	J	`jnl`	Deep Lagrangian Constraint-based Propagation in Graph Neural Networks. CoRR Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini
2020	A*	`conf`	From Statistical Relational to Neuro-Symbolic Artificial Intelligence. IJCAI Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
2020	J	`jnl`	From Statistical Relational to Neuro-Symbolic Artificial Intelligence. CoRR Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
2020	—	`conf`	Inference in relational neural machines. NeHuAI@ECAI Giuseppe Marra, Francesco Giannini, Lapo Faggi, Michelangelo Diligenti, Marco Gori, Marco Maggini
2020	J	`jnl`	Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. IEEE Trans. Neural Networks Learn. Syst. Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini
2020	J	`jnl`	Local Propagation in Constraint-based Neural Network. CoRR Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
2020	B	`conf`	Local Propagation in Constraint-based Neural Networks. IJCNN Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
2020	J	`jnl`	Online Learning of Non-Markovian Reward Models. CoRR Gavin Rens, Jean-François Raskin, Raphaël Reynouad, Giuseppe Marra
2020	A	`conf`	Relational Neural Machines. ECAI Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini
2020	J	`jnl`	Relational Neural Machines. CoRR Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini
2020	J	`jnl`	Temperature Sensing Characteristics and Long Term Stability of Power LEDs Used for Voltage vs. Junction Temperature Measurements and Related Procedure. IEEE Access Francesco Giuseppe Della Corte, Giovanni Pangallo, Riccardo Carotenuto, Demetrio Iero, Giuseppe Marra, Massimo Merenda, Sandro Rao
2019	J	`jnl`	An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. CoRR Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini
2019	—	`conf`	Constraint-Based Visual Generation. ICANN (3) Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
2019	—	`conf`	Integrating Learning and Reasoning with Deep Logic Models. ECML/PKDD (2) Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
2019	J	`jnl`	Integrating Learning and Reasoning with Deep Logic Models. CoRR Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
2019	—	`conf`	LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning. ECML/PKDD (2) Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
2019	J	`jnl`	LYRICS: a General Interface Layer to Integrate AI and Deep Learning. CoRR Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
2019	—	`conf`	Learning Activation Functions by Means of Kernel Based Neural Networks. AI*IA Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori
2019	J	`jnl`	Learning and T-Norms Theory. CoRR Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori
2019	J	`jnl`	Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. CoRR Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini
2019	J	`jnl`	Neural Markov Logic Networks. CoRR Giuseppe Marra, Ondrej Kuzelka
2019	B	`conf`	On the Relation Between Loss Functions and T-Norms. ILP Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori
2019	J	`jnl`	On the relation between Loss Functions and T-Norms. CoRR Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori
2018	—	`conf`	A Constrained-Based Approach to Machine Learning. SITIS Alessandro Betti, Marco Gori, Giuseppe Marra
2018	—	`conf`	An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. ICANN (3) Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini
2018	J	`jnl`	Backpropagation and Biological Plausibility. CoRR Alessandro Betti, Marco Gori, Giuseppe Marra
2018	J	`jnl`	Constraint-Based Visual Generation. CoRR Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori
2018	J	`jnl`	Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks. CoRR Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori
2016	J	`jnl`	Information diffusion in a multi-social-network scenario: framework and ASP-based analysis. Knowl. Inf. Syst. Giuseppe Marra, Domenico Ursino, Francesco Ricca, Giorgio Terracina
2014	—	`conf`	Defining and Investigating the Scope of Users and Hashtags in Twitter - (Short Paper). OTM Conferences Daniel Leggio, Giuseppe Marra, Domenico Ursino
2014	B	`conf`	Exploiting Answer Set Programming for Handling Information Diffusion in a Multi-Social-Network Scenario. JELIA Giuseppe Marra, Francesco Ricca, Giorgio Terracina, Domenico Ursino
2014	—	`conf`	Investigating Information Diffusion in a Multi-Social-Network Scenario via Answer Set Programming. RR Giuseppe Marra, Antonino Nocera, Francesco Ricca, Giorgio Terracina, Domenico Ursino
2014	—	`conf`	Investigating Node Influence Maximization and Influential Node Characterization in a Multi-Social-Network Scenario via Disjunctive Logic Programming. SEBD Giuseppe Marra, Antonino Nocera, Francesco Ricca, Giorgio Terracina, Domenico Ursino
2013	—	`—`	Transfer of optical frequency combs over optical fibre links. Giuseppe Marra