Giuseppe Marra
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
15
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs. | Ying Jiao, Rodrigo Castellano Ontiveros, Luc De Raedt, Marco Gori, Francesco Giannini, Michelangelo Diligenti, Giuseppe Marra |
| 2025 | AAAI | Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields. | David Debot, Gabriele Venturato, Giuseppe Marra, Luc De Raedt |
| 2025 | AAAI | Relational Neurosymbolic Markov Models. | Lennert De Smet, Gabriele Venturato, Luc De Raedt, Giuseppe Marra |
| 2025 | ECAI | DEEPGRAPHLOG for Layered Neurosymbolic AI. | Adem Kikaj, Giuseppe Marra, Floris Geerts, Robin Manhaeve, Luc De Raedt |
| 2025 | ICLR | Counterfactual Concept Bottleneck Models. | Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich |
| 2025 | ICLR | Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. | Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich |
| 2025 | IJCAI | Grounding Methods for Neural-Symbolic AI. | Rodrigo Castellano Ontiveros, Francesco Giannini, Marco Gori, Giuseppe Marra, Michelangelo Diligenti |
| 2024 | AAAI | From Statistical Relational to Neuro-Symbolic Artificial Intelligence. | Giuseppe Marra |
| 2024 | ECCV | Integrating Local and Global Interpretability for Deep Concept-Based Reasoning Models. | David Debot, Giuseppe Marra |
| 2024 | IDA | Subgraph Mining for Graph Neural Networks. | Adem Kikaj, Giuseppe Marra, Luc De Raedt |
| 2024 | NeSy | Valid Text-to-SQL Generation with Unification-Based DeepStochLog. | Ying Jiao, Luc De Raedt, Giuseppe Marra |
| 2023 | ICML | Interpretable Neural-Symbolic Concept Reasoning. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frdric Precioso, Mateja Jamnik, Giuseppe Marra |
| 2023 | IJCAI | Safe Reinforcement Learning via Probabilistic Logic Shields. | Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt |
| 2023 | IJCNN | Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. | Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani, Moreno Falaschi, Giuseppe Marra |
| 2023 | ILP | An Experimental Overview of Neural-Symbolic Systems. | Arne Vermeulen, Robin Manhaeve, Giuseppe Marra |
| 2023 | NeSy | Interpretable Neural-Symbolic Concept Reasoning. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Li, Frdric Precioso, Mateja Jamnik, Giuseppe Marra |
| 2023 | NeSy | VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. | Eleonora Misino, Giuseppe Marra, Emanuele Sansone |
| 2023 | NeSy | Safe Reinforcement Learning via Probabilistic Logic Shields. | Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt |
| 2023 | UAI | Neural probabilistic logic programming in discrete-continuous domains. | Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt |
| 2022 | AAAI | DeepStochLog: Neural Stochastic Logic Programming. | Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt |
| 2021 | ICAART | Online Learning of non-Markovian Reward Models. | Gavin Rens, Jean-Franois Raskin, Raphal Reynouard, Giuseppe Marra |
| 2021 | KR | Approximate Inference for Neural Probabilistic Logic Programming. | Robin Manhaeve, Giuseppe Marra, Luc De Raedt |
| 2021 | UAI | Neural markov logic networks. | Giuseppe Marra, Ondrej Kuzelka |
| 2020 | ECAI | Relational Neural Machines. | Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini |
| 2020 | ECAI | Inference in relational neural machines. | Giuseppe Marra, Francesco Giannini, Lapo Faggi, Michelangelo Diligenti, Marco Gori, Marco Maggini |
| 2020 | ECAI | A Lagrangian Approach to Information Propagation in Graph Neural Networks. | Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori |
| 2020 | IJCAI | From Statistical Relational to Neuro-Symbolic Artificial Intelligence. | Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra |
| 2020 | IJCNN | Local Propagation in Constraint-based Neural Networks. | Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori |
| 2019 | ICANN | Constraint-Based Visual Generation. | Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori |
| 2019 | ILP | On the Relation Between Loss Functions and T-Norms. | Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori |
| 2018 | ICANN | An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. | Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini |
| 2014 | JELIA | Exploiting Answer Set Programming for Handling Information Diffusion in a Multi-Social-Network Scenario. | Giuseppe Marra, Francesco Ricca, Giorgio Terracina, Domenico Ursino |