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Giuseppe Marra
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2020 – today
- 2024
- [j8]Giuseppe Marra
, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
From statistical relational to neurosymbolic artificial intelligence: A survey. Artif. Intell. 328: 104062 (2024) - [j7]Peter Jung, Giuseppe Marra, Ondrej Kuzelka
Quantified neural Markov logic networks. Int. J. Approx. Reason. 171: 109172 (2024) - [c34]Giuseppe Marra:
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. AAAI 2024: 22678 - [c33]Adem Kikaj
Subgraph Mining for Graph Neural Networks. IDA (1) 2024: 141-152 - [c32]Ying Jiao
Valid Text-to-SQL Generation with Unification-Based DeepStochLog. NeSy (1) 2024: 312-330 - [i30]Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich:
Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. CoRR abs/2402.01408 (2024) - [i29]Tilman Hinnerichs, Robin Manhaeve, Giuseppe Marra, Sebastijan Dumancic:
Towards a fully declarative neuro-symbolic language. CoRR abs/2405.09521 (2024) - [i28]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 abs/2405.16507 (2024) - [i27]David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra:
Interpretable Concept-Based Memory Reasoning. CoRR abs/2407.15527 (2024) - 2023
- [j6]Francesco Giannini
T-norms driven loss functions for machine learning. Appl. Intell. 53(15): 18775-18789 (2023) - [c31]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: 1801-1825 - [c30]Wen-Chi Yang
Safe Reinforcement Learning via Probabilistic Logic Shields. IJCAI 2023: 5739-5749 - [c29]Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. IJCNN 2023: 1-8 - [c28]Arne Vermeulen, Robin Manhaeve, Giuseppe Marra:
An Experimental Overview of Neural-Symbolic Systems. ILP 2023: 124-138 - [c27]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: 422-423 - [c26]Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt:
Safe Reinforcement Learning via Probabilistic Logic Shields. NeSy 2023: 428-429 - [c25]Eleonora Misino, Giuseppe Marra, Emanuele Sansone:
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. NeSy 2023: 434-435 - [c24]Giuseppe Marra, D. M. Fairweather, Valey Kamalov, P. Gaynor, Mattia Cantono, S. Mulholland, B. Baptie
Transforming Subsea Optical Cables into a Giant Network of Environmental Sensors. OFC 2023: 1-2 - [c23]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: 529-538 - [i26]Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt:
Safe Reinforcement Learning via Probabilistic Logic Shields. CoRR abs/2303.03226 (2023) - [i25]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 abs/2303.04660 (2023) - [i24]Michelangelo Diligenti, Francesco Giannini
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. CoRR abs/2303.13566 (2023) - [i23]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 abs/2304.14068 (2023) - [i22]Pietro Barbiero
Relational Concept Based Models. CoRR abs/2308.11991 (2023) - 2022
- [j5]Matteo Tiezzi
Deep Constraint-Based Propagation in Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 727-739 (2022) - [c22]Thomas Winters, Giuseppe Marra, Robin Manhaeve
DeepStochLog: Neural Stochastic Logic Programming. AAAI 2022: 10090-10100 - [c21]Eleonora Misino, Giuseppe Marra, Emanuele Sansone:
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. NeurIPS 2022 - [c20]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 - [i21]Eleonora Misino, Giuseppe Marra, Emanuele Sansone:
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. CoRR abs/2202.04178 (2022) - [i20]Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini
Concept Embedding Models. CoRR abs/2209.09056 (2022) - 2021
- [j4]Giuseppe Marra:
Bridging symbolic and subsymbolic reasoning with minimax entropy models. Intelligenza Artificiale 15(2): 71-90 (2021) - [c19]Gavin Rens
Online Learning of non-Markovian Reward Models. ICAART (2) 2021: 74-86 - [c18]Robin Manhaeve
Approximate Inference for Neural Probabilistic Logic Programming. KR 2021: 475-486 - [c17]Giuseppe Marra, Ondrej Kuzelka:
Neural markov logic networks. UAI 2021: 908-917 - [p2]Robin Manhaeve
Neuro-Symbolic AI = Neural + Logical + Probabilistic AI. Neuro-Symbolic Artificial Intelligence 2021: 173-191 - [p1]Michelangelo Diligenti, Francesco Giannini
A Constraint-Based Approach to Learning and Reasoning. Neuro-Symbolic Artificial Intelligence 2021: 192-213 - [i19]Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Maggini:
Learning Representations for Sub-Symbolic Reasoning. CoRR abs/2106.00393 (2021) - [i18]Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt:
DeepStochLog: Neural Stochastic Logic Programming. CoRR abs/2106.12574 (2021) - [i17]Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt:
From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey. CoRR abs/2108.11451 (2021) - 2020
- [j3]Francesco Giuseppe Della Corte
Temperature Sensing Characteristics and Long Term Stability of Power LEDs Used for Voltage vs. Junction Temperature Measurements and Related Procedure. IEEE Access 8: 43057-43066 (2020) - [j2]Marco Maggini
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4475-4486 (2020) - [c16]Giuseppe Marra, Francesco Giannini, Lapo Faggi, Michelangelo Diligenti, Marco Gori, Marco Maggini:
Inference in relational neural machines. NeHuAI@ECAI 2020: 71-74 - [c15]Giuseppe Marra
Relational Neural Machines. ECAI 2020: 1340-1347 - [c14]Matteo Tiezzi
A Lagrangian Approach to Information Propagation in Graph Neural Networks. ECAI 2020: 1539-1546 - [c13]Luc De Raedt
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. IJCAI 2020: 4943-4950 - [c12]Giuseppe Marra
Local Propagation in Constraint-based Neural Networks. IJCNN 2020: 1-8 - [i16]Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini:
Relational Neural Machines. CoRR abs/2002.02193 (2020) - [i15]Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori:
A Lagrangian Approach to Information Propagation in Graph Neural Networks. CoRR abs/2002.07684 (2020) - [i14]Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Local Propagation in Constraint-based Neural Network. CoRR abs/2002.07720 (2020) - [i13]Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra:
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. CoRR abs/2003.08316 (2020) - [i12]Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini:
Deep Lagrangian Constraint-based Propagation in Graph Neural Networks. CoRR abs/2005.02392 (2020) - [i11]Gavin Rens, Jean-François Raskin, Raphaël Reynouad, Giuseppe Marra:
Online Learning of Non-Markovian Reward Models. CoRR abs/2009.12600 (2020)
2010 – 2019
- 2019
- [c11]Giuseppe Marra
Learning Activation Functions by Means of Kernel Based Neural Networks. AI*IA 2019: 418-430 - [c10]Giuseppe Marra
Constraint-Based Visual Generation. ICANN (3) 2019: 565-577 - [c9]Francesco Giannini
On the Relation Between Loss Functions and T-Norms. ILP 2019: 36-45 - [c8]Giuseppe Marra
LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning. ECML/PKDD (2) 2019: 283-298 - [c7]Giuseppe Marra
Integrating Learning and Reasoning with Deep Logic Models. ECML/PKDD (2) 2019: 517-532 - [i10]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Integrating Learning and Reasoning with Deep Logic Models. CoRR abs/1901.04195 (2019) - [i9]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
LYRICS: a General Interface Layer to Integrate AI and Deep Learning. CoRR abs/1903.07534 (2019) - [i8]Giuseppe Marra, Ondrej Kuzelka:
Neural Markov Logic Networks. CoRR abs/1905.13462 (2019) - [i7]Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori:
On the relation between Loss Functions and T-Norms. CoRR abs/1907.07904 (2019) - [i6]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori:
Learning and T-Norms Theory. CoRR abs/1907.11468 (2019) - [i5]Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini:
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. CoRR abs/1908.01819 (2019) - [i4]Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini:
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. CoRR abs/1909.05367 (2019) - 2018
- [c6]Giuseppe Marra
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. ICANN (3) 2018: 126-136 - [c5]Alessandro Betti, Marco Gori, Giuseppe Marra
A Constrained-Based Approach to Machine Learning. SITIS 2018: 737-746 - [i3]Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori:
Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks. CoRR abs/1807.06302 (2018) - [i2]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Constraint-Based Visual Generation. CoRR abs/1807.09202 (2018) - [i1]Alessandro Betti, Marco Gori, Giuseppe Marra:
Backpropagation and Biological Plausibility. CoRR abs/1808.06934 (2018) - 2016
- [j1]Giuseppe Marra
Information diffusion in a multi-social-network scenario: framework and ASP-based analysis. Knowl. Inf. Syst. 48(3): 619-648 (2016) - 2014
- [c4]Giuseppe Marra, Francesco Ricca, Giorgio Terracina, Domenico Ursino:
Exploiting Answer Set Programming for Handling Information Diffusion in a Multi-Social-Network Scenario. JELIA 2014: 618-627 - [c3]Daniel Leggio, Giuseppe Marra, Domenico Ursino:
Defining and Investigating the Scope of Users and Hashtags in Twitter - (Short Paper). OTM Conferences 2014: 674-681 - [c2]Giuseppe Marra, Antonino Nocera
Investigating Information Diffusion in a Multi-Social-Network Scenario via Answer Set Programming. RR 2014: 191-196 - [c1]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: 264-275 - 2013
- [b1]Giuseppe Marra:
Transfer of optical frequency combs over optical fibre links. University of Southampton, UK, 2013
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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